41
Nilai Maksimal Prosiding

Nilai Maksimal Prosiding - eprints.undip.ac.ideprints.undip.ac.id/70482/1/...of_GSCM_practice_peer_review_lengkap.pdf · discriminant function as Z= (0.238-IeM) + (0.602-GPU) + (1.161-CCO)

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Page 1: Nilai Maksimal Prosiding - eprints.undip.ac.ideprints.undip.ac.id/70482/1/...of_GSCM_practice_peer_review_lengkap.pdf · discriminant function as Z= (0.238-IeM) + (0.602-GPU) + (1.161-CCO)

Nilai Maksimal Prosiding

BUKTI SCOPUS

Scopus

Document details

10 of 38

Exploring the implementation of green supply chain with cluster anddiscriminant analysis Case study Furniture industry at Central JavaSemarang (Conference Paper)

Industrial Engineering Department Diponegoro University Campus Tembalang Semarang Central Java Indonesia

AbstractThis study has two objectives First this study aims to categorize the level of the implementation of Green SupplyChain Management (GSCM) practice among Small and Medium Enterprises (SMEs) of wooden furniture in severalclusters Second this study aims to find the linear combination of five dimensions of GSCM practices that willdiscriminate best between prior defined clusters The study used primary data through questionnaires enclosed withthe Likert scale 1-5 at 162 SMEs of wooden furniture located in Surakarta Jepara Semarang and Kudus The raw datalevel of implementation of five dimensions of GSCM practice is analyzed using K-Means cluster and discriminantanalysis with the aid of the Statistical Package for the Social Sciences (SPSS) software The result of K-Means clusteranalysis indicated that a two-cluster is the optimal number of a group for separating the data of the level ofimplementation of GSSM practice among SMEs of wooden furniture and the two clusters founded in this research arelabeled as early adopter and laggards Then the result of the discriminant analysis indicated that as high as 9877 ofthe SMEs of wooden furniture was classified correctly The result of discriminant analysis also revealed thediscriminant function as Z= (0238-IeM) + (0602-GPU) + (1161-CCO) + (1128-ECO) + (1126-IRE) - 13124 and thethreshold for evaluating a discriminant score of implementation of GSCM practice is -0276 The implementation ofGSCM practices by new SMEs of wooden furniture with discriminant scores above -0276 would be assigned to theEarly Adoption (cluster 1) otherwise they would be classified as Laggards (cluster 2) copy 2018 IEEE

SciVal Topic Prominence

Topic

Prominence percentile 99931

Author keywordsdiscriminant analysis GSCM practices jepara K-means cluster kudus semarang surakarta

Indexed keywords

Engineeringcontrolled terms

Cluster analysis Java programming language Social sciences computing

Supply chain management Surveys

Engineeringuncontrolled terms

GSCM practices jepara K-means clusters kudus semarang surakarta

Engineering mainheading

Discriminant analysis

Funding details

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2018 5th International Conference on Industrial Engineering and Applications ICIEA 201815 June 2018 Pages 526-5305th International Conference on Industrial Engineering and Applications ICIEA 2018 ShawFoundation Alumni House National University of SingaporeSingapore Singapore 26 April2018 through 28 April 2018 Category numberCFP18L08-PRT Code 115072

Susanty A Sari DP

View references (36)

Supply chain management | Supply chains | GSCM practices

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Jabbour ABLDS FrascareliFCDO Jabbour CJC

The impact of implementinggreen supply chain managementpractices on corporateperformance

Younis H Sundarakani B VelP

Prioritization of green supplychain indicators with analytichierarchy process (AHP) model

Chavan AS Patil RNChavan ST

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Authors Keywords

References (36)

Funding sponsor Funding number AcronymFunding sponsor Funding number Acronym

Ministry of Higher Education and Scientific Research

Funding textACKNOWLEDGMENT The authors wish to acknowledge to the Ministry of Research and Higher Education for givingthe authors the opportunity to conduct this research through ldquoPenelitian Unggulan Perguruan Tinggi Grandrdquo

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(2004) Journal of Operations Management 22 (3) pp 265-289 doi 101016jjom200401005

ISBN 978-153865747-8Source Type Conference ProceedingOriginal language English

DOI 101109IEA20188387157Document Type Conference PaperPublisher Institute of Electrical and Electronics Engineers Inc

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All Export Print E-mail Save to PDF Create bibliography

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Sustainable supply chains An introduction

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2

Confirmation of a measurement model for green supply chain management practicesimplementation

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3

The effect of green supply chain management on green performance and firmcompetitiveness in the context of container shipping in Taiwan

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Relationships between operational practices and performance among early adopters ofgreen supply chain management practices in Chinese manufacturing enterprises

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(2013) Journal of Purchasing and Supply Management 19 (2) pp 106-117

doi 101016jpursup201212001

Azevedo SG Carvalho H Cruz Machado V

(2011) Transportation Research Part E Logistics and Transportation Review 47 (6) pp 850-871

doi 101016jtre201105017

Vachon S Klassen RD

(2006) International Journal of Operations and Production Management 26 (7) pp 795-821

doi 10110801443570610672248

Vachon S Klassen RD

(2008) International Journal of Production Economics 111 (2) pp 299-315 doi 101016jijpe200611030

Green Jr KW Zelbst PJ Bhadauria VS Meacham J

(2012) Industrial Management and Data Systems 112 (2) pp 186-205 doi 10110802635571211204254

Gimenez C Sierra V

(2013) Journal of Business Ethics 116 (1) pp 189-203 doi 101007s10551-012-1458-4

6

Green supply chain management in China Pressures practices and performance

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Institutional-based antecedents and performance outcomes of internal and externalgreen supply chain management practices

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8

The influence of green practices on supply chain performance A case study approach

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Extending green practices across the supply chain The impact of upstream anddownstream integration

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10

Environmental management and manufacturing performance The role ofcollaboration in the supply chain

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Do environmental collaboration and monitoring enhance organizationalperformance

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Sustainable Supply Chains Governance Mechanisms to Greening Suppliers

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(2004) Illegal Logging and Global Wood Markets The Competitive Impacts on the US Wood ProductsIndustry American Forest amp Paper Association

Susanty A Santoso H Sari DP Parasayu SEffect of internal green supply chain practices on environmental performance of SMEs of wooden furnitureindustry(2017) Proc World Congress on Engineering 2017 2 July 5-7 London UK

Hamel G Prahalad CK

(1989) Harvard Business Review 67 (3) pp 63-76

Carter CR Ellram LMReverse logistics A review of the literature and framework for future investigation(1998) J Bus Logist 19 (1) pp 85-102

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(2001) International Journal of Operations and Production Management 21 (9) pp 1222-1238

doi 101108EUM0000000005923

Zsidisin GA Siferd SP

(2001) European Journal of Purchasing and Supply Management 7 (1) pp 61-73 doi 101016S0969-7012(00)00007-1

Green K Morton B New S

(1998) Supply Chain Management 3 (2) pp 89-95 doi 10110813598549810215405

Schlegelmilch BB Bohlen GM Diamantopoulos AThe link between green purchasing decisions and measures of environmental consciousness(1996) Eur J Mark 30 (5) pp 35-55

ElTayeb TK Zailani S Jayaraman K

(2010) Journal of Manufacturing Technology Management 21 (2) pp 206-225 doi 10110817410381011014378

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To revitalize corporate performance we need a whole new model of strategy Strategicintent

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Green purchasing practices of US firms

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Environmental purchasing A framework for theory development

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Green purchasing and supply policies Do they improve companies environmentalperformance

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The examination on the drivers for green purchasing adoption among EMS 14001certified companies in Malaysia

Cited 88 times

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Zhu Q Geng Y Lai K-H

(2010) Journal of Environmental Management 91 (6) pp 1324-1331 doi 101016jjenvman201002013

Diabat A Khodaverdi R Olfat L

(2013) International Journal of Advanced Manufacturing Technology 68 (1-4) pp 949-961 doi 101007s00170-013-4955-4

Laosirihongthong T Adebanjo D Choon Tan K

(2013) Industrial Management amp Data Systems 113 (8) pp 1088-1109 doi 101108IMDS-04-2013-0164

Zhu Q Sarkis J

(2006) Journal of Cleaner Production 14 (5) pp 472-486 doi 101016jjclepro200501003

Zhu Q Sarkis J

(2007) International Journal of Production Research 45 (18-19) pp 4333-4355 doi 10108000207540701440345

Johansson GSuccess factors for integration of ecodesign in product development A review of state of the art(2002) Environ Manage Health 13 (1) pp 98-107

Eltayeb TK Zailani SGoing green through green supply chain initiatives towards environmental sustainability(2009) Oper Supply Chain Manag 2 (2) pp 93-110

Lee SM Kim ST Choi D

(2012) Industrial Management amp Data Systems 112 (8) pp 1148-1180 doi 10110802635571211264609

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Circular economy practices among Chinese manufacturers varying in environmental-oriented supply chain cooperation and the performance implications

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An exploration of green supply chain practices and performances in an automotiveindustry

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Green supply chain management practices and performance

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An inter-sectoral comparison of green supply chain management in China Driversand practices

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The moderating effects of institutional pressures on emergent green supply chainpractices and performance

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Green supply chain management and organizational performance

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(2012) International Journal of Operations and Production Management 32 (6) pp 721-745 doi 10110801443571211230943

Doshi K Sonawane S Sande K Doiphode SGreen Supply Chain Management Operation and Environmental Impact(2016) AADYA-Natl J Manag Technol (NJMT) 6 pp 81-89

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(1998) Industrial Management and Data Systems 98 (7) pp 313-320

doi 10110802635579810241773

Zhu Q Geng Y Sarkis J Lai K-H

(2011) Transportation Research Part E Logistics and Transportation Review 47 (6) pp 808-821

doi 101016jtre201009013

Angel Latha Mary S Sivagami AN Usha Rani M

(2015) ARPN Journal of Engineering and Applied Sciences 10 (9) pp 4009-4012

Herremans IM Herschovis MS Bertels S

(2009) Journal of Business Ethics 89 (3) pp 449-472 doi 101007s10551-008-0010-z

Holt D Ghobadian A

(2009) Journal of Manufacturing Technology Management 20 (7) pp 933-956 doi 10110817410380910984212

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The impact of external institutional drivers and internal strategy on environmentalperformance

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Purchasings involvement in environmental issues A multi-country perspective

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An empirical study of green supply chain management practices amongst UKmanufacturers

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Back to results Previous Next Top of page

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COVER DAFTAR ISI DAN BUKTI PESERTA DARI EMPAT

NEGARA

2018 The 5th International

Conference on Industrial

Engineering and Applications

Technical Program

April 26-28 2018

Shaw Foundation Alumni House National University of Singapore

Singapore

wwwicieaorg

Sponsored by Assisted by

ICIEA

2018

iii

2018 5th International Conference on Industrial Engineering and Applications

ICIEA 2018Table of Contents

Decision Analysis and Methods

Towards a Decision Support Approach for Selecting Physical Objects in Collaborative Supply Chain Processes

for Cyber Physical System-Transformation 1

Endric Hetterscheid Florian Schluumlter

Decision Support System for Inventory Control of Raw Materialmdash(Case Study PT Suwarni Agro Mandiri Plant

Pariaman Indonesia) 6

Difana Meilani Amelia Andiningtias Dicky Fatrias

Integration AHP and TOPSIS in Shipyard Location Selection 11

Ali Parkhan Aldrin Daeng Vatimbing Imam Djati Widodo

E-Business and E-Commerce

Inventory Management in E-commerce Supply Chain with Lateral Transshipment and Quick Response17

Xueqing Yu Lingyun Wei

Impact of Recommender Systems on Unplanned Purchase Behaviours in e-Commerce 21

Zhang Ying Chen Caixia Gu Wen Liu Xiaogang

Evaluating and Analyzing the Effectiveness of Online Advertising31

Huini Zhou Li Li Xiaoguang Gu

Micro Enterprise and e-Commerce Platform Literature Review and Agenda for Future Research 38

Clara Linggaputri Isti Surjandari Akhmad Hidayatno

Prefacehelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellipxiii

Conference Committeeshelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellipxiv

iv

Global Manufacturing and Engineering Economics

Optimal Manufacturing Outsourcing Decision Based on the Degree of Manufacturing Process

Standardization49

PingYu Chang Thi Thanh Nhan Phan

A Functional Design of a Cost Benefit Analysis Methodology for Transport Infrastructure Projects54

Tiep Nguyen Stephen Cook Indra Gunawan

Demand Management Practices in the Manufacturing Industry An Empirical South African Perspective 60

Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa

Healthcare Systems and Management

A Study on Healthcare-product Supply Chain with a Group Purchasing Organization67

Yin Han Lingyun Wei

A Study on Shortage of Hospital Beds in the Philippines Using System Dynamics 72

Josephine D German John Karlo P Mintildea Claudine Mae N Alfonso Kang-Hung Yang

Research on Health Monitoring Mechanism Based on Service Invocation79

Xuan Mei Xinming Tan

Business Process Reengineering for the Saline Management in Hospitals84

Sith Vilasdechanon Apichat Sopadang

The Acceptance Model of Hospital Information Systems in Thailand A Conceptual Framework Extending

TAM89

Paneepan Sombat Wornchanok Chaiyasoonthorn Singha Chaveesuk

Human Factors

An Experimental Study to Investigate Personality Traits on Pair Programming Efficiency in Extreme

Programming 95

Ramlall Poonam Chuttur M Yasser

Intention of Opening Up the Network of Personal Data 100

Mao-Sung Chen Tung-Kuan Liu Ming-Tien Tsai

The Differences of Individual Spatial Strategy on Their Solving Performance 105

Sakulporn Pornpanom Arisara Jiamsanguanwong

v

Understanding the Model of User Satisfaction in Using Cloud Storage Systems of Employees in Thailand A

Conceptual Framework 110

Kulapa Najantong Singha Chaveesuk Wornchanok Chaiyasoonthorn

Evaluating Variables That Affect Job Satisfaction of Bank Customer Contact Centre Agents in South Africa

116

Eveth Nwobodo-Anyadiegwu Charles Mbohwa Nokukhanya Ndlovu

Information Processing and Engineering

Real-time Localization and Navigation in an Indoor Environment Using Monocular Camera for Visually

Impaired 122

Kruthika Ramesh Nagananda S N Hariharan Ramasangu Rohini Deshpande

Experiment and Optimization of Magnetostrictive for Long Time Operation to Find Amplitude of Vibration

and Thermal Limit 129

Nuttakorn Pukseesang Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa

Some Methods for Measuring the Efficiency of Firms Utilizing Different Technologies 134

Soobin Choi Jaedong Kim Hanjun Lee

Core Challenges to Cloud PLM Adoption in Large Manufacturing Firms 141

Shikha Singh Subhas Chandra Misra

Intelligent Systems

Visual and Hearing Detection Capabilities to Discriminate whether a UAV Invade a Campus Airspace 146

S J Chang K W Li

Reflections on Facilitating the Development of ldquoInternet Plusrdquo Intelligent Manufacturing in China 150

Yong Tao Gang Zhao Qiushi Li Wen Zhao

A Study of Small Complicated Axisymmetric Parts Manufacturing in Industry 40 158

Chengcheng Zhu Shengdun Zhao Shuaipeng Li

Voltage Stability in DC Micro Grid by Controlling Two Battery Units with Hybrid Network Systems 163

Adhi Kusmantoro Ardyono Priyadi Mauridhi Hery Purnomo

Design and Implementation of IoT Based Smart Laboratory 169

M Poongothai P Muthu Subramanian A Rajeswari

vi

Analysis of Microwave Precipitation in the Topographic Barrier for the Lifting Condensation Level of Clouds

Formation 174

Supawat Kotchapradit Thanaset Thosdeekoraphat Samran Santalunai Chanchai Thongsopa

Improved Efficiency of Insect Pest Control System by SSPA 179

Phanupong Saeung Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa

Manufacturing Systems

Optimized Information Exchange Process between CAD and CAMmdashEnhanced Data Exchange in the Field of

Joining Technology from the Viewpoint of an Automotive Supplier 184

Alexander Kreis Mario Hirz Severin Stadler

Efficiency Improvement of Door Frame Manufacturing Process in Wood Product Manufacturing Industry

189

Lerdlekha Sriratana

The Structural Design of 3D Print Head and Execution of Printing via the Robotic Arm ABB IRB 140 194

Martin Pollaacutek Jozef Toumlroumlk Jozef Zajac Marek Kočiško Monika Teliškovaacute

Micro-fabrication Method of Au Micro-wire Structures on Substrate by Chemical Printing and Peeling Process

199

Potejana Potejanasak

Evaluation of Thermal Comfort Room Garment Workshop in Textile Vocational School 203

Anastasia Febiyani Bambang Suhardi Eko Pujiyanto

Modular Measuring System for the Force Distribution in Forming Processes 208

W Zorn L Hamm R Elsner W G Drossel

Gravity Filling System of Slurry for Rod Mill Sand with High Concentration and Research on Technical

Transformation in Jinchuan Mine 214

Li Li-Tao Yang Zhi-Qiang Gao Qian Wang Yong-Ding

Defect Reduction in the Board Front Door Trim Manufacturing Process 220

Punyisa Kuendee

Operations Research

Integrated Railway Timetable Scheduling Optimization Model and Rescheduling Recovery Optimization

Model A Systematic Literature Review 226

Erlangga Bayu Setyawan Dida Diah Damayanti

vii

A Comparative Analysis about the Balance Design of the Assembly Line by Branching amp Bound Method and

Lingo Method 231

Jia Shuyuan Huang Li Li Qin Gu Yonghu

The Optimal Routes and Modes Selection in Multimodal Transportation Networks Based on Improved A

Algorithm 236

Yan Liu Lingyun Wei

Industrial Cluster Optimization Based on Linear Programming 241

Roberto Montemanni Jafar Jamal

Multi-objective Joint Optimization of Batch-discrete Hybrid Flow Shop Scheduling Integrated with Machine

Maintenance 247

Yangyang Fei Huimin Ma

Investigating the Interrelationship between Stochastic Aircraft Routing of Airlines and Maintenance Staffing

of Maintenance Providers 254

Felix T S Chan Abdelrahman E E Eltoukhy

An Modified Relax-and-fix Algorithm for the Multi-level Lot-sizing Problem with Replaceablility 262

Mingyuan Wei Yifei Yuan Canrong Zhang

Height-Based Heuristics for Relocating Containers during Loading Operations 268

Yifei Yuan Canrong Zhang Ting Huang

A Record-to-Record Travel Algorithm for Multi-product and Multi-period Inventory Routing Problem 274

Fadillah Ramadhan Arif Imran Afrin Fauzya Rizana

Developing Tabu Search with Intensification and Diversification for the Seriation Problem 279

Pimprapai Thainiam

A Comparative Study of Mixed-Integer Linear Programming and Genetic Algorithms for Solving Binary

Problems 284

Punyisa Kuendee Udom Janjarassuk

Production Planning and Control

Concurrent Optimization of Job Shop Scheduling and Dynamic and Flexible Facility Layout Planning 289

Ryota Kamoshida

Makespan Minimization on Single Batch-processing Machine Considering Preventive Maintenance 294

Jingying Huang Liya Wang

viii

Customer Kansei-Oriented Restaurant Location Evaluation Using Kansei Engineering 299

Yu-Hsiang Hsiao Guan-Ting Chen

An Improvement Scheme for the Overall Line Effectiveness of a Production Line A Case Study 304

Jieli Li Yuhui Jia Binbin Xu Fei Chen Zhaojun Yang Xiaodong Li

An Adjustment Method for Material Inventory Control Decision Considered in Product Life Cycle 310

Jiun-Shiung Lin Jen-Huei Chang i-Yan Yang

Application of a Hidden Markov Model for Consistency Checking of Process Plant Facility Tag NumbersmdashA

Case Study 314

Jayaram Sivaramakrishnan Gareth Lee

Analyzing Circadian Rhythms for Breaktime Schedulling on Night Shift Work 321

Lovely Lady Ansor Firdaus

Resource-Reconfigured Flow Shop Scheduling and Lot-Sizing Problems in Semiconductor Test 326

Yige Zhang Yuangen Lu Cangrong Zhang

Process Flow Improvement in Production of Noise Filter Products through Lean Manufacturing Technique

333

Rattarak Moonpragarn Rungchat Chompu-inwai

Waste Reduction in the Shoe Sewing Factory 340

Pongpat Phetrungrueng

The Joint Replenishment Problem with Resource Restriction A Note 345

M I M Wahab Y Chen

Aggregate Planning in Canned Pineapple Production Lines 349

Datepard Charoenponyarrat Tuanjai Somboonwiwat

Applications of Data Mining

A Research Study on Unsupervised Machine Learning Algorithms for Early Fault Detection in Predictive

Maintenance 355

Nagdev Amruthnath Tarun Gupta

The Analysis of Matching Learners in Pair Programming Using K-Means 362

Naladtaporn Aottiwerch Urachart Kokaew

Machine Learning Based Approach for Demand Forecasting Anti-aircraft Missiles 367

Jaedong Kim Hanjun Lee Soobin Choi

ix

Quality Control and product lifecycle Management

Simultaneous Prediction Interval-Based Multiobjective Solution Approach for Multiple Quality Characteristics

Optimization 373

Abhinav Kumar Sharma Indrajit Mukherjee

The TQM Integration in Procurement Function Performance 378

Bisalyaputra K

Safety Analysis at Weaving Department of PT X Bogor Using Failure Mode and Effect Analysis (FMEA) and

Fault Tree Analysis (FTA) 382

Prima Fithri Nidi Annisa Riva Lusi Susanti Berry Yuliandra

Success Determinants to Product Lifecycle Management (PLM) Performance 386

Shikha Singh Subhas Chandra Misra

Company Performance Measurement for Automobile Companies a Composite Indicator from an

Environmental Perspective 391

Qinqin Zeng Wouter W A Beelaerts van Blokland Sicco C Santema Gabriel Lodewijks

Loss Time Reduction for Improve Overall Equipment Effectiveness (OEE) 396

Kamolchanok Krachangchan Natcha Thawesaengskulthai

Service Innovation and Management

Estimating Diffusion of Technology Using User Perceptual Values A Conceptual Model 401

Chaudry Bilal Ahmad Khan

Implementation of Innovative Digitalization Methods in Reverse Engineering 406

Monika Teliškovaacute Martin Pollaacutek Jozef Toumlroumlk Jakub Kaščaacutek Petr Baron Viktoria Mezencevova

Topological Evolution of Public Transportation Network A Case Study of Bangkok Rail Transit Network 410

Pijaya Na Bangxang Pisit Jarumaneeroj

A Design of Automated Parking System for Shopping Centers in Metro Manila 415

Ma Janice J Gumasing Charles Aaron V Atienza

Design of an Ergonomic Classroom Chair and Desk for Preschool Students of Selected Public Schools in

Cabuyao City Laguna 420

Ezrha C Godilano Mark Kevin G Galang Hazel Elaine O Ramilo Kristian Roi F Velayo

Design of an Ergonomic Wheelbarrow to Reduce Physiological Demands of General Users 424

Ezrha C Godilano Karl Vincent Casas Aubrey Justine Vargas

x

Ergonomic Intervention Addressing Musculoskeletal Disorders among Poultry Layer Workers 429

Ma Janice J Gumasing Rex Aurelius C Robielos

Wristwatch Development Based on Kansei Engineering 435

Imam Djati Widodo Heavy Zerry Novibrilliawan

Innovative Product Development of Fabric Glass Interlayer 440

Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong

Systems Modeling and Simulation

A Simulation Study of Multi-dimensional Clearing Function Considering Degradation for Semiconductor

Manufacturing 448

Jianqiu Huang Jingying Huang Liya Wang

Productivity Improvement of Tapioca Packing Process through Simulation Modeling Analysis 453

Nara Samattapapong

Modelling the Barriers for Mass Adoption of Electric Vehicles in Indian Automotive Sector An Interpretive

Structural Modeling (ISM) Approach 458

Surya Prakash Sameer Sharma Poudel Maheshwar Dwivedy Dilesh Raj Shrestha

Diagnostics of the Wire Coating Production Line by Implementation of Computation Methods 463

Ivan Kuric Miroslav Cisar Ivan Zajacko Tomas Gal

District Model with Two Types of Vehicles for Transporting Sugarcane 468

Rujirat Patcharamethanon Kanchala Sudtachat

Experiment of Induction Heating Application for Heating Multilayer Metallic Hollow Altered Cylinder 475

Jakkarin Srituvanont Thanaset Thosdeekoraphat Chanchai Thongsopa Samran Santalunai

A Framework for Analyzing and Developing Dashboard Templates for Small and Medium Enterprises 479

Wasinee Noonpakdee Thitiporn Khunkornsiri Acharaphun Phothichai Kriangsak Danaisawat

An Economic Order Quantity Model with Continous Quantity Discount and Probabilistic Demand 484

Ardian Rizaldi Ashaeurizky Dilianaputri Fitri A Anugrah Riska Ummaya Senator Nur Bahagia

Technology and Knowledge Management

Analyzing Interdependencies in a Project Portfolio Using Social Network Analysis Metrics 490

Helal Al Zaabi Hamdi Bashir

Sentiment Analysis of Twitter Corpus Related to Artificial Intelligence Assistants 495

Chae Won Park Dae Ryong Seo

xi

Artificial Neural Neural Network Approach for Technology Life Cyle Construction on Patent Data 499

Muhammad Hanif Ramadhan Vialli Ibrahim Malik Teddy Sjafrizal

A Systematic Literature Review on Knowledge Sharing for Innovation Empirical Study Approach 504

Augustina Asih Rumanti T M A Ari Samadhi Iwan Inrawan Wiratmadja Indryati Sunaryo

Belief Representation of Design Mental Model Based on Design Rationale 510

Chen Ying Jing Shikai Wang Yedong Cheng Dada

Study on Teaching Methods of Fundamental Electrical Courses in Engineering Education 515

Jianpei Chen Fei Gao Lingling Kong Lin Cui

Supply Chain Management

Supply Chain Model for Renewable Energy Resource from Biomass in Vietnam 520

Duy Nguyen Duc Narameth Nananukul

Exploring the Implementation of Green Supply Chain with Cluster and Discriminant AnalysismdashCase Study

Furniture Industry at Central Java Semarang 526

Aries Susanty Diana Puspita Sari

Systematic Literature Review and Improved Model for Mitigating Bullwhip Effect in Low Shelf Life Food

Supply Chain 531

Nia Novitasari Dida Diah Damayanti

Supply Chain Management Performance and Partial Least Square-Structural Equation Model An application

to Thai Tourism Supply Chain 536

Daraka Palang Korrakot Yaibuathet Tippayawong

An Economic Competitiveness Analysis of Power Generation Plants 543

Ndala Yves Mulongo Pule Kholopane

Supplier Selection Considering Sustainablitity Criteria by Using A Hybrid Evaluation Method in Printing

Business 548

Onsiree Mananawigapol Chorkaew Jaturanonda Tuanjai Somboonwiwat

Barriers and Drivers of eBIZ Adoption in the Fashion Supply Chain Preliminary Results 555

Bianca Bindi Virginia Fani Romeo Bandinelli Gilda Massa Gessica Ciaccio Arianna Brutti Piero De

Sabbata

A Simulation Analysis on Regional Logistics Development Based on System Dynamics The Case of Yunnan

Province 560

Yinyuan Si Wensheng Yang Huini Zhou

Lenovo
Highlight

xii

A Sustainability Assessment of Electricity Supply Systems 565

Ndala Yves Mulongo Pule Kholopane

Author Index

1040-1210 Friday 27 Apr

Session B-2 Supply Chain Management Venue Lemongrass Room

Chair

N066

Time 1040-1055

A study on Healthcare-product Supply Chain with a group purchasing organization Ms Yin Han Lingyun Wei Beijing University of posts and telecommunications Beijing China

In order to better understand the impact of group purchasing organization (GPO) on healthcare-product supply chain we build a supply chain model consisting of one manufacturer one competitive source one group purchasing organization(GPO) and n healthcare providers for a single product Providers may purchase from any source for minimizing their total costs Through considering different providersrsquo demands power schemes and revenue sharing between GPO and providers we analyze the performance of supply chain and its members under various situations Numerical examples show some interesting findings (1) When GPO dominates the supply chain GPO can obtain more profits (2)When manufacturer dominates the supply chain and GPO shares its revenue with providers there exists specific revenue sharing rates which increase GPOrsquos profits and reduce providersrsquo cost (3) Manufacturer always can achieve a same optimal profit by changing quantity discount rate when GPO dominates supply chain and shares its revenue with providers

N108

Time 1055-1110

Exploring the Implementation of Green Supply Chain with Cluster and Discriminant Analysis Case Study Furniture Industry at Central Java Semarang Dr Aries Susanty Diana Puspitasari Diponegoro Univeristy Indonesia This study has two objectives First this study aims to categorize the level of the implementation of Green Supply Chain Management (GSCM) practice among Small and Medium Enterprises (SMEs) of wooden furniture in several clusters Second this study aims to find the linear combination of five dimensions of GSCM practices that will discriminate best between prior defined clusters The study used primary data through questionnaires enclosed with the Likert scale 1-5 at 162 SMEs of wooden furniture located in Surakarta Jepara Semarang and Kudus The raw data level of implementation of five dimensions of GSCM practice is analyzed using K-Means cluster and discriminant analysis with the aid of the Statistical Package for the Social Sciences (SPSS) software The result of K-Means cluster analysis indicated that a two-cluster is the optimal number of a group for separating the data of the level of implementation of GSSM practice among SMEs of wooden furniture and the two clusters founded in this research are labeled as early adopter and laggards Then the result of the discriminant analysis indicated that as high as 9877 of the SMEs of wooden furniture was classified correctly The result of discriminant analysis also revealed the discriminant function as Z= (0238IEM) + (0602GPU) + (1161CCO) + (1128ECO) + (1126IRE) - 13124 and the threshold for evaluating a discriminant score of

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Conferences gt 2018 5th International Confer

3 Author(s) Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa View All Authors

Demand management practices in the manufacturing industry An empiricalSouth African perspective

38FullText Views

Abstract

Document Sections

I Introduction

II Literature Review

III Methodology

IV Resultsampinterpretations

V Conclusion

Authors

Figures

References

Keywords

Metrics

Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

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Keywords

Metrics

AbstractThis paper aims to identify and explore Demand Management (DM) practices used within the SouthAfrican Manufacturing industry The study followed a qualitative design approach in order to identifythe relationship between DM methods such as forecasting and the best practices used by therespondents Therefore a purposive sampling technique was used whereby a questionnaire was sentout via email to 15 manufacturing companies before meeting them for a face to face interviewconducted in two weeks Respondents varied from different industries such as automotive wood andpaper chemical food and beverage etc The results demonstrated that although the respondents areaware of the best practices for a good DM system they generally do not apply them entirely becauseof factors like fear of implementing change and failure to quickly adapt themselves to the change thatwould come with those best practices In addition the results also revealed that forecasting is themost used DM method by the respondents and a simple forecasting average is used to predict futuredemand Depending on the company the forecast is done either by a team or by functional areas

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844216

DOI 101109IEA20188387071

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionThe importance of satisfying the customer by meeting the demand has long been recognized bymanagers as crucial to making the organization successful However numerous problems occurand many factors need to be considered in order to give the customer what they want how theywant it as well as where and when they want it Failure to understand crucial characteristics ofdemand will result in supply shortage or excessive stock that will place serious financial burdenson the organization subsequently leading to a loss of market share and customers

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Eric Bakama MikobiDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

Eveth Nwobodo-AnyadiegwuDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

Charles MbohwaDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

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An integrative framework of knowledgemanagement enabled supply chainmanagement2008 IEEE International Conference onIndustrial Engineering and EngineeringManagementPublished 2008

An empirical approach for the application ofknowledge management on downstream supplychain management of Indian public sector oilcompanies2017 Fourteenth International Conference onWireless and Optical Communications Networks(WOCN)Published 2017

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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

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Conferences gt 2018 5th International Confer

2 Author(s) Shikha Singh Subhas Chandra Misra View All Authors

Core challenges to cloud PLM adoption in large manufacturing firms

60FullText Views

Abstract

Document Sections

I Introduction

II Literature Review

III ResearchMethodology

IV Case Study and DataAnalysis

V Result and Discussion

Show Full Outline

Authors

Figures

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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

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AbstractAs the globalization is at its peak and innovative products are at high demand firms are forced to workin a collaborative manner The product data must be lively available to all the collaborated partnersAlthough on-premise Product Lifecycle Management (PLM) systems are offering the collaborationsand product data management throughout the products lifecycle the Internet of Things (IoT) eraoffers more connectivity at a lesser cost Though most large manufacturing firms have established theon-premise PLM systems yet face some difficulties related to maintenance and upgradations of in-house information technology (IT) infrastructure Hence cloud PLM is under consideration foradoption among many large manufacturing firms However there are several challenges associatedwith cloud PLM adoption decision This work intends to find out the challenges which largemanufacturing firms face while deciding to adopt cloud PLM The empirical investigations have beenattempted to find out the relations among the challenges faced and to provide the guideline on how tofind out the core challenges which needs to be attended before adopting cloud PLM in largemanufacturing firms

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844276

DOI 101109IEA20188387085

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionProduct lifecycle management (PLM) systems are the IT tools [1] which support the PLMbusiness concept [2] to manage the whole lifecycle of a product in firms PLM systems help totransform the organizations into digitized era and make them technologically robust by giving a3D product designing and virtual manufacturing opportunity [3] PLM systems help in substantialcost savings by reducing the real manufacturing efforts Product-related knowledge must need tobe preserved so that it can help in the other phases of product lifecycle such as repair overhaulreuse recycle and or disposal of the product Increasing number of enterprise informationsystems stakeholders and product related information demand the need for a managementapproach which makes the managers capable of managing all the dispersed product informationat one common repository for reuse

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Shikha SinghDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India

Subhas Chandra MisraDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India

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The automation of the technological processesin the Manufacturing Internet of Things contextfor the pharmaceutical enterprises2018 IEEE 9th International Conference onDependable Systems Services andTechnologies (DESSERT)Published 2018

Integration of ERP and Internet of Things inIntelligent Enterprise Management2018 1st International Cognitive CitiesConference (IC3)Published 2018

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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|

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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance

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Conferences gt 2018 5th International Confer

3 Author(s) Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong View All Authors

Innovative product development of fabric glass interlayer

39FullText Views

Abstract

Document Sections

I Introduction

II Methodology

III Conclusion

Authors

Figures

References

Keywords

MetricsPublished in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

References

Keywords

Metrics

AbstractA glass manufacturer in Thailand developed the laminated fabric glass as innovative product in 2013but sales had declined in 2016 Customers survey shows that the satisfaction level decreased due tolong production lead time high-selling price and long installation time This paper aims to develop anew innovative fabric glass interlayer product by adopting 5D innovation development process 5Dconsists of Discover Define Design Develop and Deploy Firstly discover phase adopted Five ForcesAnalysis Customer Behavior Analysis and Customers Satisfaction Survey for specifying marketposition and seeking the hidden customers expectations Define is to summarize the project charteras initiation step in the project management and to scope resources and timeframe Design weadopted the integration of QFD Kano Model and Product Quality Index for prioritizing and translatingcustomer expectations to product specifications Then all concepts were concluded by Pugh MatrixWeighted Sum Score and confirmed the selected concept by financial feasibility study Developprocess is to prototyping to verify the production before scale up Finally generated the riskassessment plan by FMEA and contributed the business plan to ensure the effectivecommercialization in Deploy The developed fabric glass interlayer shows higher customer satisfactionlevel by shorten production lead time from 14 days to 8 days (4285) lower price from 790 bahtft to 485 bahtft (3861) and shorten installation time from 180 minutes to 45 minutes (75)

2

2

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844226

DOI 101109IEA20188387141

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionThe case company is one of the glass manufacturers in Thailand who process the fundamentalfunctional building glass tempered and laminated glass for the architectural construction andinterior decoration The companys vision was stated to be the leader of glass innovation within2022 To be the leader of the glass innovation case company should focus on the continuousinnovative product development The mainly innovative product that had been sold for manyyears was the fabric glass as 52 52 and 47 in 2015 2016 and 2017 respectively

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Ploynaplus ThanasirithamDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

Natcha ThawesaengskulthaiDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

Prasert AkkharaprathomphongDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

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Study of a Customer Satisfaction-OrientedModel for Outsourcing Software QualityManagement Using Quality FunctionDeployment (QFD)2008 4th International Conference on WirelessCommunications Networking and MobileComputingPublished 2008

Fuzzy Eco-Design Product Development byUsing Quality Function Deployment2005 4th International Symposium onEnvironmentally Conscious Design and InverseManufacturingPublished 2005

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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|

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Conferences gt 2018 5th International Confer

2 Author(s) Jingying Huang Liya Wang View All Authors

Makespan minimization on single batch-processing machine consideringpreventive maintenance

37FullText Views

Abstract

Document Sections

I Introduction

II Problem Description

III Batching Rule

IV Improved Heuristics

V ComputationalResults andDiscussions

Show Full Outline

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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

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Metrics

AbstractThis paper considers the problem of minimizing makespan on a single batch-processing machineconsidering preventive maintenance A mathematical model for integrating flexible preventivemaintenance into the batch-processing machine scheduling is proposed A two-stage method isproposed to solve the problem A batching rule considering maintenance is proposed to group jobsinto batches firstly And then we improve existing heuristics to schedule production and maintenanceComputational results indicate that the two-stage method based on proposed batching rule andimproved heuristics is effective

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844275

DOI 101109IEA20188387113

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionBPM (Batch processing machine) problem has attracted many researchers in recent years BPMis able to process a group of jobs as long as the number of jobs in the batch is less than or equalto the capacity of the machine To minimize total flow time Rui Xu [1] proposed an ant colonyalgorithm combined with the candidate list NR Parsa [2] proposed an algorithm using a hybridmax-min ant system AH Kashan [3] proposed a batch based hybrid genetic algorithm thatgenerates random batches of jobs and ensures feasibility To minimize total earliness andtardiness of the jobs NR Parsa [4] proposed a dynamic programming algorithm and severalheuristics BPM problem is practically applied in many manufacturing industries One of them issemiconductor wafer manufacturing industry BPM problem is applied in the furnace area in themanufacturing process of semiconductor wafers The machine is only shared by jobs requiringthe particular processing operation [5] That is in reality only semiconductor wafers with thesame kind of process can be grouped into a batch However the papers above did not take thisconstraint into consideration They assumed the jobs with different processing time can begrouped into the same batches Also the above papers did not consider about maintenancewhen grouping and scheduling jobs

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Jingying HuangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina

Liya WangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina

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ACO-based Parallel Machine SchedulingConsidering Both Setup Time and Run-basedPreventive Maintenance with ReliabilityConstraints2018 IEEE International Conference onIndustrial Engineering and EngineeringManagement (IEEM)Published 2018

MSPT2 Heuristic and Dynamic ProgrammingMethod for the Parallel Machine SchedulingProblem with scheduled PreventiveMaintenance2006 International Conference on ServiceSystems and Service ManagementPublished 2006

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About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|

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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance

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KEYNOTE AND INVITE SPEAKERS

Keynote Speech

Keynote Speech ndashI

Abstract of speech

Many products are designed to last longer than

the typical lifespan of human being Its thus a

challenge to validate the design life through

reliability tests even when testing is conducted

under much harsher environment Not only that

test duration is usually constrained but the

samples available for testing may also be costly

andor limited in quantity Statistically optimal

plans will allow for efficient use of testing

resources and yet derive the most information

from the test In this presentation we shall

discuss ideas related to designing test plans for

both constant stress and step stress ALT leading

to the statistical optimal plan for sequential ALT

While that of constant ALT is basically a Bayesian

approach that for the step stress ALT requires

solving a dynamic program using backward

induction For the latter optimal solutions are

only available for exponential lifetime and there

are rooms for further research

Loon Ching TANG

BIO Dr Loon Ching TANG is currently the Director of

Temasek Defence Systems Institute and Professor of

Department of Industrial Systems Engineering and

Management at the National University of Singapore

He obtained his PhD degree from Cornell University in

the field of Operations Research in 1992 and has

published extensively in areas related to industrial

engineering and operations research He has been

presented with a number of best paper awards

including the IIE Transactions 2010 Best Application

Paper Award and 2012 RA EvansPK McElroy Award

for the best paper at Annual RAMS Prof Tang is the

main author of the award-winning book Six Sigma

Advanced Tools for Black Belts and Master Black Belts

Besides being active in the forefront of academic

research in the last 25 years Prof Tang has served as

consultant for many organizations such as the

Ministry of Home Affair Singapore Power Republic of

Singapore Air Force Seagate HP Phillips etc on a

wide range of projects aiming at improving

organizational and operations efficiency especially

through better management of engineering assets He

is currently a fellow of ISEAM the Editor of Quality amp

Reliability Engineering International and an editorial

review board member of the flagship journal of ASQ

Journal of Quality Technology (since 2006) He has

served as the Region VP (Asia) of IIE (2013-16) and a

member of the advisory board of the Singapore

Innovation and Productivity Institute

Apr 26(Thu) 2018 1305-1350

Auditorium Room

ldquoPlanning Sequential Accelerated Life Testingrdquo

Prof Loon Ching TANG

National University of Singapore Singapore

Lenovo
Highlight

Keynote Speech ndashII

George ZHANG

BIO Professor Zhe George Zhang is a professor of

Management Science in the Department of Decision

Sciences at Western Washington University and a

professor of Operations Management in Beedie

School of Business at Simon Fraser University He is

also visiting professor of Sauder School of Business

at the University of British Columbia Dr Zhang

received his BS in Computer Science and MA in

Economics from Nankai University China his MBA

from the Schulich School of Business at York

University and his PhD in Operations research from

the University of Waterloo Professor Zhang has

published many papers in prestigious journals such

as Management Science Operations Research

Manufacturing amp Service Operations Management

Production and Operations Management IIE

Transactions IEEE Transactions Queueing Systems

Journal of Applied Probability Co-authored with

Professor Tian in 2006 he published the research

monograph Vacation Queueing Models - Theory

and Applications the first book on this particular

topic (now highly cited) Professor Zhangs research

interests include queueing theory and applications

and stochastic models for manufacturing and

service systems The main theme of his research is

to bridge the gap between theory and application

obtaining unobservable and sometimes

counter-intuitive but significantpractical

management insights via modeling and quantitative

analysis Currently he is particularly interested in

the quantitative and economic analysis of the

congestion problems in urbanmass transportation

networks healthmedical care systems and public

service systems with both customer service quality

and security concerns As an expert in data analysis

and quantitative modeling he has consulted in

industry and has given research seminars and short

lectures at leading universities around the world He

was invited to present plenary or keynote talks in

several international conferences Professor Zhang

is the one of Editor-in-Chiefs for new journal

Queueing Models and Service Management aan

associate editor of INFOR (Information Systems and

Operations Research) and is on the editorial board

of several international journals in Operations

Research and Management Science

Apr 26(Thu) 2018 1350-1435

Auditorium Room

ldquordquo

Prof George ZHANG

Western Washington University USA

Lenovo
Highlight

Keynote Speech ndashIII

Abstract of speech

The purpose of this paper is to investigate the

generalized age maintenance policies for a system

with random working times When the system fails

it is subject to one of two types of failures with

age-dependent probability type I failure can be

removed by minimal repair and type II failure must

be rectified by replacementA First the system is

preventively replaced before type II failure at time T

or at the completion of Nth working projects

whichever occurs first Two modified models where

the system is preventively replaced before type II

failure at time T or at the completion of Nth

working projects whichever occurs last and it is

preventively replaced at the first completion of the

working project over time T or at the completion of

Nth working projects whichever occurs first are

considered By introducing costs due to repairs

maintenance and replacement the expected cost

per unit time is derived as a criterion of optimality

and the optimal policy that minimizes that cost is

discussed analytically

Shey-Huei SHEU

BIO Professor Shey-Huei Sheu is a Chair Professor

of Department of Statistics and Informatics Science

at the Providence University He is an Honorary

Chair Professor of the Department of Industrial

Management at the National Taiwan University of

Science and Technology He received his MS

degree (1979) in applied mathematics from the

National Tsing Hua University and his PhD degree

(1987) in statistics from the University of Kentucky

He has published in journals such as Naval Research

Logistics Journal of Applied Probability RAIRO

Operations Research Microelectronics and

Reliability Reliability Engineering and System Safety

International Journal of Systems Science Quality

and Reliability Engineering International

International Journal of Reliability Quality and

Safety Engineering Journal of the Operational

Research Society European Journal of the

Operational Research Computers and Operation

Research Computers and Industrial Engineering

Quality Engineering Asia-Pacific Journal of the

Operational Research Communications in

Statistics-Theory and Methods Computers and

Mathematics with Applications Simulation

Modeling Practice and Theory Communications in

Statistics-Simulation and Computation Journal of

Statistical Computation and Simulation

International Journal of Production Economics

Quality Technology and Quantitative Management

The International Journal of Advanced

Manufacturing Technology Expert Systems

International Journal of Computer Mathematics

Journal of Applied Statistics Production Planning

and Control International Journal of Production

Research Applied Mathematical Modelling IEEE

Transactions on Reliability and Annals of

Operations Research

Apr 26(Thu) 2018 1435-1520

Auditorium Room

ldquoThe Generalized Age Maintenance Policies with

Random Working Timesrdquo

Prof Shey-Huei SHEU

Providence University Taiwan

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Highlight

Keynote Speech ndashIV

Abstract of speech

IEEE 80211ah a specification belonging to 80211

wireless local area network (WLAN) protocol family

has been recently released to support the

long-range low-power and low-rate wireless

communication among smart devices used in

Internet of Thing (IoT) systems However security

requirements of the energy-constrained devices

have plenty of issues different from the traditional

wireless devices It requires that the lightweight

security protocols have to support low-power and

low-latency as well as the long-lasting features of

quantities of IoT devices The recently released IEEE

statndard IEEE 80211ai has specified a Fast Initial

Link Setup (FILS) which is a brand-new approach

aiming at establishing fast stable and secure links

among smart devices IEEE 80211ai could be applied

to other wireless systems such as the wireless

system of IEEE 80211ah with security

enhancements In this talk I would address the

secureity issues of IEEE 80211ai and IEEE 80211ah

with an new proposal to enhance the

authentication process in the link setup procedure

specified by IEEE 80211ai

Maode MA

BIO Dr Maode Ma is a Fellow of IET He received his

PhD degree in computer science from Hong Kong

University of Science and Technology in 1999 Now

Dr Ma is an Associate Professor in the School of

Electrical and Electronic Engineering at Nanyang

Technological University in Singapore He has

extensive research interests including network

security and wireless networking Dr Ma has about

350 international academic publications including

over 160 journal papers and about 190 conference

papers He has delivered over 50 keynote speeches

at various international conferences He has served

as various chairs for over 100 international

conferences He currently serves as the

Editor-in-Chief of International Journal of Computer

and Communication Engineering and International

Journal of Electronic Transport He also serves as a

Senior Editor or an Associate Editor for other 4

international academic journals Dr Ma is a Senior

Member of IEEE Communication Society and IEEE

Education Society and a Member of ACM He is the

Chair of the IEEE Education Society Singapore

Chapter and the Chair of the ACM Singapore

Chapter He has served as an IEEE Communication

Society Distinguished Lecturer from 2013-2016

Apr 26(Thu) 2018 1530-1615

Auditorium Room

ldquoEfficient and Secure Authentication Schemes for

IEEE 80211ah Networks rdquo

Prof Maode MA

Nanyang Technological University Singapore

Lenovo
Highlight

Keynote Speech ndashV

Abstract of speech

Stochastic aircraft routing (SAR) plays a critical role

in defining the routing plans of airlines which

include assigning the aircraft to flight legs and

determining the time and location of maintenance

to the aircraft Based on the routing plan specified

by the airlines the maintenance providers should

schedule their workforce to perform maintenance

operations by solving the maintenance staffing

problem (MSP) MSP helps maintenance providers

to build their staffing plans which include the

assignment of manpower to each aircraft so that

aircraft receive the required maintenance

operations as planned Practically for airlines the

routing plan will be interrupted (eg flight delays) if

an aircraft cannot be released from the

maintenance station punctually Similarly for

maintenance providers if an aircraft misses the

scheduled appointment at the maintenance station

this will also cause a huge interruption to their

staffing plan Therefore there is an interrelationship

between SAR and MSP In the literature the focus

of each problem has been traditionally considered

separately with only limited consideration of their

interrelationship In this paper we study SAR along

with MSP with the objective of investigating the

interrelationship between SAR and MSP For this

purpose we propose a coordinated configuration

of SAR and MSP that is formulated as a

leader-follower Stackelbery game in which SAR

acts as a leader and MSP acts as a follower This

game is enacted through a bi-level optimization

model which is solved by a bi-level nested ant

colony optimization (ACO) algorithm A case study

of a major airline and maintenance provider located

in the Middle East is presented to demonstrate the

feasibility and potential of the proposed model The

results demonstrate significant saving in the costs

of both companies

Felix TS CHAN

BIO Professor Felix T S Chan received his BSc

Degree in Mechanical Engineering from Brighton

Polytechnic (now University) UK and obtained his

MSc and PhD in Manufacturing Engineering from

the Imperial College of Science and Technology

University of London UK Professor Chan is now

working at the Department of Industrial and

Systems Engineering The Hong Kong Polytechnic

University and also serving as Associate Dean

(Research) at the Faculty of Engineering His current

research interests are Logistics and Supply Chain

Management Operations Management

Distribution Coordination Systems Modelling and

Simulation AI Optimisation To date he has

published 16 book chapters over 300 refereed

international journal papers and 250 peer reviewed

international conference papers h index= 30 under

the Web of Science He is a chartered member of

the Chartered Institute of Logistics and Transport in

Hong Kong According to a study lately published in

the International Journal of Production Research

(httpdxdoiorg1010800020754320151037935)

the study measured the research contributions over

a 26-year time frame (1985-2010) of academic

institutions and individual authors to the field of

Apr 26(Thu) 2018 1615-1700

Auditorium Room

ldquoInvestigating the Interrelationship between

Stochastic Aircraft Routing of Airlines and

Maintenance Staffing of Maintenance Providersrdquo

Prof Felix TS CHAN

The Hong Kong Polytechnic University Hong Kong

Lenovo
Highlight

Operations Management (OM) based on published

articles in 11 top-rated and well-known academic OM

journals Professor Chan was among the top 50

prolific authors list who have made the greatest

overall contribution to the field as measured by the

number of distributed and shared articles published

in the 11 designated journals Also Professor Chan

was Ranked No 3 in The top 100 authors as the

most productive researchers in the field of

Operations Management over the past 10 years

(2001-2010)

COMMITTEE

ICIEA 2018 Organizing Committee

International Advisory Committee

Zhe George Zhang Western Washington University USA

Conference Chairs

Felix T S Chan The Hong Kong Polytechnic University Hong Kong

Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan

Local Organizing Chair

TANG Loon Ching National University of Singapore Singapore

Organizing and Program Committees

Seoung Bum Kim School of Industrial Mangement Engineering Korea University

Usik Lee Inha University Korea

Maode Ma Nanyang Technological University Singapore

Finance Chair

Minghan Xi Dalian Maritime University China

International Technical Committees

Cheng-Feng HuNational Chiayi University Taiwan

Dong-Yuh YangNational Taipei University of Business Taiwan

Mario HirzGraz University of Technology Austria

Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt

Po-Hsiang Liu College of Business and Management in St Johns University USA

Taesu Cheong Korea University Korea

Tien-Lun Liu Chung Yuan Christian University Taiwan

Wei CaiWuhan University of Technology China

Jinguo Huang Huazhong University of Science and Technology China

Yu-Chung Tsao National Taiwan University of Science Technology Taiwan

Yip Mum WaiTunku Abdul Rahman University College Malaysia

Pule Kholopane University of Johannesburg South Africa

Bonivasius Prasetya Ichtiarto mercu buana university Indonesia

Elita Amrina Andalas University Indonesia

Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan

Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong

Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia

Lenovo
Highlight
Lenovo
Highlight
Lenovo
Highlight
Lenovo
Highlight

Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India

Byung Do Chung Yonsei University Korea

M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia

Sandeep Singhal National Institute of Technology India

J W Wang The University of Hong Kong Hong Kong

Ching-Chang Kuo National Taichung University of Science and Technology Taiwan

Kuo-Hsiung Wang Providence University Taiwan

ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia

Sangbok Lee Hansung University Korea

Adrian E Coronado Mondragon Royal Holloway University of London UK

Chin-I Lee Ling Tung University Taiwan

S H ChoiUniversity of Hong Kong Hong Kong

Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan

Wei Cai Wuhan University of Technology China

Hashibah Hamid Universiti Utara Malaysia Malaysia

TMA Ari Samadhi Bandung Institute of Technology Indonesia

Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia

Pi-Chun Hsu Chaoyang University of Technology Taiwan

Mu-Chen Chen National Chiao Tung University Taiwan

Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan

Tsu-Wei Yu Chaoyang University of Technology Taiwan

Lingyun Wei Beijing University of Posts and Telecommunications China

Hamdi Bashir University of sharjahUnited Arab Emirates

LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand

LIU Hai-peng Kunming University of Science and Technology China

Elfira Febriani Trisakti University Indonesia

Yu-Hsiang Hsiao National Taipei University Taiwan

Chien-Chih Wang Ming Chi University of Technology Taiwan

Atichart Harncharnchai Chiang Mai University Thailand

Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)

Switzerland

Bambang Suhardi Universitas Sebelas Maret Indonesia

Ssu Han Chen Ming Chi University of Technology Taiwan

Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia

Augustina Asih Rumanti Bandung Institute of Technology Indonesia

Maheshwar Dwivedy BML Munjal University India

Zhichuan Guan China university of petroleum (East China) China

Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia

Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia

Yenming J Chen National Kaohsiung University of Science and Technology Taiwan

Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia

TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand

Li Li Nanjing University of Science and Technology China

SERTIFIKAT

Page 2: Nilai Maksimal Prosiding - eprints.undip.ac.ideprints.undip.ac.id/70482/1/...of_GSCM_practice_peer_review_lengkap.pdf · discriminant function as Z= (0.238-IeM) + (0.602-GPU) + (1.161-CCO)

BUKTI SCOPUS

Scopus

Document details

10 of 38

Exploring the implementation of green supply chain with cluster anddiscriminant analysis Case study Furniture industry at Central JavaSemarang (Conference Paper)

Industrial Engineering Department Diponegoro University Campus Tembalang Semarang Central Java Indonesia

AbstractThis study has two objectives First this study aims to categorize the level of the implementation of Green SupplyChain Management (GSCM) practice among Small and Medium Enterprises (SMEs) of wooden furniture in severalclusters Second this study aims to find the linear combination of five dimensions of GSCM practices that willdiscriminate best between prior defined clusters The study used primary data through questionnaires enclosed withthe Likert scale 1-5 at 162 SMEs of wooden furniture located in Surakarta Jepara Semarang and Kudus The raw datalevel of implementation of five dimensions of GSCM practice is analyzed using K-Means cluster and discriminantanalysis with the aid of the Statistical Package for the Social Sciences (SPSS) software The result of K-Means clusteranalysis indicated that a two-cluster is the optimal number of a group for separating the data of the level ofimplementation of GSSM practice among SMEs of wooden furniture and the two clusters founded in this research arelabeled as early adopter and laggards Then the result of the discriminant analysis indicated that as high as 9877 ofthe SMEs of wooden furniture was classified correctly The result of discriminant analysis also revealed thediscriminant function as Z= (0238-IeM) + (0602-GPU) + (1161-CCO) + (1128-ECO) + (1126-IRE) - 13124 and thethreshold for evaluating a discriminant score of implementation of GSCM practice is -0276 The implementation ofGSCM practices by new SMEs of wooden furniture with discriminant scores above -0276 would be assigned to theEarly Adoption (cluster 1) otherwise they would be classified as Laggards (cluster 2) copy 2018 IEEE

SciVal Topic Prominence

Topic

Prominence percentile 99931

Author keywordsdiscriminant analysis GSCM practices jepara K-means cluster kudus semarang surakarta

Indexed keywords

Engineeringcontrolled terms

Cluster analysis Java programming language Social sciences computing

Supply chain management Surveys

Engineeringuncontrolled terms

GSCM practices jepara K-means clusters kudus semarang surakarta

Engineering mainheading

Discriminant analysis

Funding details

Back to results Previous Next

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View at Publisher

2018 5th International Conference on Industrial Engineering and Applications ICIEA 201815 June 2018 Pages 526-5305th International Conference on Industrial Engineering and Applications ICIEA 2018 ShawFoundation Alumni House National University of SingaporeSingapore Singapore 26 April2018 through 28 April 2018 Category numberCFP18L08-PRT Code 115072

Susanty A Sari DP

View references (36)

Supply chain management | Supply chains | GSCM practices

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Green supply chain managementand firms performanceUnderstanding potentialrelationships and the role ofgreen sourcing and some othergreen practices

Jabbour ABLDS FrascareliFCDO Jabbour CJC

The impact of implementinggreen supply chain managementpractices on corporateperformance

Younis H Sundarakani B VelP

Prioritization of green supplychain indicators with analytichierarchy process (AHP) model

Chavan AS Patil RNChavan ST

View all related documents basedon references

Authors Keywords

References (36)

Funding sponsor Funding number AcronymFunding sponsor Funding number Acronym

Ministry of Higher Education and Scientific Research

Funding textACKNOWLEDGMENT The authors wish to acknowledge to the Ministry of Research and Higher Education for givingthe authors the opportunity to conduct this research through ldquoPenelitian Unggulan Perguruan Tinggi Grandrdquo

Linton JD Klassen R Jayaraman V

(2007) Journal of Operations Management 25 (6) pp 1075-1082 doi 101016jjom200701012

Zhu Q Sarkis J Lai K-H

(2008) International Journal of Production Economics 111 (2) pp 261-273 doi 101016jijpe200611029

Yang C-S Lu C-S Haider JJ Marlow PB

(2013) Transportation Research Part E Logistics and Transportation Review 55 pp 55-73

doi 101016jtre201303005

Srivastava SK

(2007) International Journal of Management Reviews 9 (1) pp 53-80 doi 101111j1468-2370200700202x

Zhu Q Sarkis J

(2004) Journal of Operations Management 22 (3) pp 265-289 doi 101016jjom200401005

ISBN 978-153865747-8Source Type Conference ProceedingOriginal language English

DOI 101109IEA20188387157Document Type Conference PaperPublisher Institute of Electrical and Electronics Engineers Inc

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All Export Print E-mail Save to PDF Create bibliography

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Sustainable supply chains An introduction

Cited 813 times

View at Publisher

2

Confirmation of a measurement model for green supply chain management practicesimplementation

Cited 580 times

View at Publisher

3

The effect of green supply chain management on green performance and firmcompetitiveness in the context of container shipping in Taiwan

Cited 123 timeswwwelseviercomincapublicationsstore600244

View at Publisher

4

Green supply-chain management A state-of-the-art literature review

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5

Relationships between operational practices and performance among early adopters ofgreen supply chain management practices in Chinese manufacturing enterprises

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Zhu Q Sarkis J Geng Y

(2005) International Journal of Operations and Production Management 25 (5) pp 449-468

doi 10110801443570510593148

Zhu Q Sarkis J Lai K-H

(2013) Journal of Purchasing and Supply Management 19 (2) pp 106-117

doi 101016jpursup201212001

Azevedo SG Carvalho H Cruz Machado V

(2011) Transportation Research Part E Logistics and Transportation Review 47 (6) pp 850-871

doi 101016jtre201105017

Vachon S Klassen RD

(2006) International Journal of Operations and Production Management 26 (7) pp 795-821

doi 10110801443570610672248

Vachon S Klassen RD

(2008) International Journal of Production Economics 111 (2) pp 299-315 doi 101016jijpe200611030

Green Jr KW Zelbst PJ Bhadauria VS Meacham J

(2012) Industrial Management and Data Systems 112 (2) pp 186-205 doi 10110802635571211204254

Gimenez C Sierra V

(2013) Journal of Business Ethics 116 (1) pp 189-203 doi 101007s10551-012-1458-4

6

Green supply chain management in China Pressures practices and performance

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7

Institutional-based antecedents and performance outcomes of internal and externalgreen supply chain management practices

Cited 268 timeshttpwwwelseviercomwpsfindjournalbibliographicinfocws_home642704descriptionbibliographicinfo

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8

The influence of green practices on supply chain performance A case study approach

Cited 243timeswwwelseviercomincapublicationsstore600244

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9

Extending green practices across the supply chain The impact of upstream anddownstream integration

Cited 703times

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10

Environmental management and manufacturing performance The role ofcollaboration in the supply chain

Cited 715 times

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11

Do environmental collaboration and monitoring enhance organizationalperformance

Cited 69 times

View at Publisher

12

Sustainable Supply Chains Governance Mechanisms to Greening Suppliers

Cited 89 times

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(2004) Illegal Logging and Global Wood Markets The Competitive Impacts on the US Wood ProductsIndustry American Forest amp Paper Association

Susanty A Santoso H Sari DP Parasayu SEffect of internal green supply chain practices on environmental performance of SMEs of wooden furnitureindustry(2017) Proc World Congress on Engineering 2017 2 July 5-7 London UK

Hamel G Prahalad CK

(1989) Harvard Business Review 67 (3) pp 63-76

Carter CR Ellram LMReverse logistics A review of the literature and framework for future investigation(1998) J Bus Logist 19 (1) pp 85-102

Min H Galle WP

(2001) International Journal of Operations and Production Management 21 (9) pp 1222-1238

doi 101108EUM0000000005923

Zsidisin GA Siferd SP

(2001) European Journal of Purchasing and Supply Management 7 (1) pp 61-73 doi 101016S0969-7012(00)00007-1

Green K Morton B New S

(1998) Supply Chain Management 3 (2) pp 89-95 doi 10110813598549810215405

Schlegelmilch BB Bohlen GM Diamantopoulos AThe link between green purchasing decisions and measures of environmental consciousness(1996) Eur J Mark 30 (5) pp 35-55

ElTayeb TK Zailani S Jayaraman K

(2010) Journal of Manufacturing Technology Management 21 (2) pp 206-225 doi 10110817410381011014378

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To revitalize corporate performance we need a whole new model of strategy Strategicintent

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Green purchasing practices of US firms

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18

Environmental purchasing A framework for theory development

Cited 320 times

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19

Green purchasing and supply policies Do they improve companies environmentalperformance

Cited 205 times

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20

Cited 364 times

21

The examination on the drivers for green purchasing adoption among EMS 14001certified companies in Malaysia

Cited 88 times

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Zhu Q Geng Y Lai K-H

(2010) Journal of Environmental Management 91 (6) pp 1324-1331 doi 101016jjenvman201002013

Diabat A Khodaverdi R Olfat L

(2013) International Journal of Advanced Manufacturing Technology 68 (1-4) pp 949-961 doi 101007s00170-013-4955-4

Laosirihongthong T Adebanjo D Choon Tan K

(2013) Industrial Management amp Data Systems 113 (8) pp 1088-1109 doi 101108IMDS-04-2013-0164

Zhu Q Sarkis J

(2006) Journal of Cleaner Production 14 (5) pp 472-486 doi 101016jjclepro200501003

Zhu Q Sarkis J

(2007) International Journal of Production Research 45 (18-19) pp 4333-4355 doi 10108000207540701440345

Johansson GSuccess factors for integration of ecodesign in product development A review of state of the art(2002) Environ Manage Health 13 (1) pp 98-107

Eltayeb TK Zailani SGoing green through green supply chain initiatives towards environmental sustainability(2009) Oper Supply Chain Manag 2 (2) pp 93-110

Lee SM Kim ST Choi D

(2012) Industrial Management amp Data Systems 112 (8) pp 1148-1180 doi 10110802635571211264609

22

Circular economy practices among Chinese manufacturers varying in environmental-oriented supply chain cooperation and the performance implications

Cited 118 times

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23

An exploration of green supply chain practices and performances in an automotiveindustry

Cited 70 times

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24

Green supply chain management practices and performance

Cited 85 times

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25

An inter-sectoral comparison of green supply chain management in China Driversand practices

Cited 470 times

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26

The moderating effects of institutional pressures on emergent green supply chainpractices and performance

Cited 455 times

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Green supply chain management and organizational performance

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Zailani SHM Eltayeb TK Hsu C-C Tan KC

(2012) International Journal of Operations and Production Management 32 (6) pp 721-745 doi 10110801443571211230943

Doshi K Sonawane S Sande K Doiphode SGreen Supply Chain Management Operation and Environmental Impact(2016) AADYA-Natl J Manag Technol (NJMT) 6 pp 81-89

Zsidisin GA Hendrick TE

(1998) Industrial Management and Data Systems 98 (7) pp 313-320

doi 10110802635579810241773

Zhu Q Geng Y Sarkis J Lai K-H

(2011) Transportation Research Part E Logistics and Transportation Review 47 (6) pp 808-821

doi 101016jtre201009013

Angel Latha Mary S Sivagami AN Usha Rani M

(2015) ARPN Journal of Engineering and Applied Sciences 10 (9) pp 4009-4012

Herremans IM Herschovis MS Bertels S

(2009) Journal of Business Ethics 89 (3) pp 449-472 doi 101007s10551-008-0010-z

Holt D Ghobadian A

(2009) Journal of Manufacturing Technology Management 20 (7) pp 933-956 doi 10110817410380910984212

copy Copyright 2018 Elsevier BV All rights reserved

30

The impact of external institutional drivers and internal strategy on environmentalperformance

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32

Purchasings involvement in environmental issues A multi-country perspective

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33

Evaluating green supply chain management among Chinese manufacturers from theecological modernization perspective

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34

Cluster validity measures dynamic clustering algorithms

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35

Leaders and laggards The influence of competing logics on corporate environmentalaction

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36

An empirical study of green supply chain management practices amongst UKmanufacturers

Cited 236 times

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Back to results Previous Next Top of page

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COVER DAFTAR ISI DAN BUKTI PESERTA DARI EMPAT

NEGARA

2018 The 5th International

Conference on Industrial

Engineering and Applications

Technical Program

April 26-28 2018

Shaw Foundation Alumni House National University of Singapore

Singapore

wwwicieaorg

Sponsored by Assisted by

ICIEA

2018

iii

2018 5th International Conference on Industrial Engineering and Applications

ICIEA 2018Table of Contents

Decision Analysis and Methods

Towards a Decision Support Approach for Selecting Physical Objects in Collaborative Supply Chain Processes

for Cyber Physical System-Transformation 1

Endric Hetterscheid Florian Schluumlter

Decision Support System for Inventory Control of Raw Materialmdash(Case Study PT Suwarni Agro Mandiri Plant

Pariaman Indonesia) 6

Difana Meilani Amelia Andiningtias Dicky Fatrias

Integration AHP and TOPSIS in Shipyard Location Selection 11

Ali Parkhan Aldrin Daeng Vatimbing Imam Djati Widodo

E-Business and E-Commerce

Inventory Management in E-commerce Supply Chain with Lateral Transshipment and Quick Response17

Xueqing Yu Lingyun Wei

Impact of Recommender Systems on Unplanned Purchase Behaviours in e-Commerce 21

Zhang Ying Chen Caixia Gu Wen Liu Xiaogang

Evaluating and Analyzing the Effectiveness of Online Advertising31

Huini Zhou Li Li Xiaoguang Gu

Micro Enterprise and e-Commerce Platform Literature Review and Agenda for Future Research 38

Clara Linggaputri Isti Surjandari Akhmad Hidayatno

Prefacehelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellipxiii

Conference Committeeshelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellipxiv

iv

Global Manufacturing and Engineering Economics

Optimal Manufacturing Outsourcing Decision Based on the Degree of Manufacturing Process

Standardization49

PingYu Chang Thi Thanh Nhan Phan

A Functional Design of a Cost Benefit Analysis Methodology for Transport Infrastructure Projects54

Tiep Nguyen Stephen Cook Indra Gunawan

Demand Management Practices in the Manufacturing Industry An Empirical South African Perspective 60

Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa

Healthcare Systems and Management

A Study on Healthcare-product Supply Chain with a Group Purchasing Organization67

Yin Han Lingyun Wei

A Study on Shortage of Hospital Beds in the Philippines Using System Dynamics 72

Josephine D German John Karlo P Mintildea Claudine Mae N Alfonso Kang-Hung Yang

Research on Health Monitoring Mechanism Based on Service Invocation79

Xuan Mei Xinming Tan

Business Process Reengineering for the Saline Management in Hospitals84

Sith Vilasdechanon Apichat Sopadang

The Acceptance Model of Hospital Information Systems in Thailand A Conceptual Framework Extending

TAM89

Paneepan Sombat Wornchanok Chaiyasoonthorn Singha Chaveesuk

Human Factors

An Experimental Study to Investigate Personality Traits on Pair Programming Efficiency in Extreme

Programming 95

Ramlall Poonam Chuttur M Yasser

Intention of Opening Up the Network of Personal Data 100

Mao-Sung Chen Tung-Kuan Liu Ming-Tien Tsai

The Differences of Individual Spatial Strategy on Their Solving Performance 105

Sakulporn Pornpanom Arisara Jiamsanguanwong

v

Understanding the Model of User Satisfaction in Using Cloud Storage Systems of Employees in Thailand A

Conceptual Framework 110

Kulapa Najantong Singha Chaveesuk Wornchanok Chaiyasoonthorn

Evaluating Variables That Affect Job Satisfaction of Bank Customer Contact Centre Agents in South Africa

116

Eveth Nwobodo-Anyadiegwu Charles Mbohwa Nokukhanya Ndlovu

Information Processing and Engineering

Real-time Localization and Navigation in an Indoor Environment Using Monocular Camera for Visually

Impaired 122

Kruthika Ramesh Nagananda S N Hariharan Ramasangu Rohini Deshpande

Experiment and Optimization of Magnetostrictive for Long Time Operation to Find Amplitude of Vibration

and Thermal Limit 129

Nuttakorn Pukseesang Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa

Some Methods for Measuring the Efficiency of Firms Utilizing Different Technologies 134

Soobin Choi Jaedong Kim Hanjun Lee

Core Challenges to Cloud PLM Adoption in Large Manufacturing Firms 141

Shikha Singh Subhas Chandra Misra

Intelligent Systems

Visual and Hearing Detection Capabilities to Discriminate whether a UAV Invade a Campus Airspace 146

S J Chang K W Li

Reflections on Facilitating the Development of ldquoInternet Plusrdquo Intelligent Manufacturing in China 150

Yong Tao Gang Zhao Qiushi Li Wen Zhao

A Study of Small Complicated Axisymmetric Parts Manufacturing in Industry 40 158

Chengcheng Zhu Shengdun Zhao Shuaipeng Li

Voltage Stability in DC Micro Grid by Controlling Two Battery Units with Hybrid Network Systems 163

Adhi Kusmantoro Ardyono Priyadi Mauridhi Hery Purnomo

Design and Implementation of IoT Based Smart Laboratory 169

M Poongothai P Muthu Subramanian A Rajeswari

vi

Analysis of Microwave Precipitation in the Topographic Barrier for the Lifting Condensation Level of Clouds

Formation 174

Supawat Kotchapradit Thanaset Thosdeekoraphat Samran Santalunai Chanchai Thongsopa

Improved Efficiency of Insect Pest Control System by SSPA 179

Phanupong Saeung Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa

Manufacturing Systems

Optimized Information Exchange Process between CAD and CAMmdashEnhanced Data Exchange in the Field of

Joining Technology from the Viewpoint of an Automotive Supplier 184

Alexander Kreis Mario Hirz Severin Stadler

Efficiency Improvement of Door Frame Manufacturing Process in Wood Product Manufacturing Industry

189

Lerdlekha Sriratana

The Structural Design of 3D Print Head and Execution of Printing via the Robotic Arm ABB IRB 140 194

Martin Pollaacutek Jozef Toumlroumlk Jozef Zajac Marek Kočiško Monika Teliškovaacute

Micro-fabrication Method of Au Micro-wire Structures on Substrate by Chemical Printing and Peeling Process

199

Potejana Potejanasak

Evaluation of Thermal Comfort Room Garment Workshop in Textile Vocational School 203

Anastasia Febiyani Bambang Suhardi Eko Pujiyanto

Modular Measuring System for the Force Distribution in Forming Processes 208

W Zorn L Hamm R Elsner W G Drossel

Gravity Filling System of Slurry for Rod Mill Sand with High Concentration and Research on Technical

Transformation in Jinchuan Mine 214

Li Li-Tao Yang Zhi-Qiang Gao Qian Wang Yong-Ding

Defect Reduction in the Board Front Door Trim Manufacturing Process 220

Punyisa Kuendee

Operations Research

Integrated Railway Timetable Scheduling Optimization Model and Rescheduling Recovery Optimization

Model A Systematic Literature Review 226

Erlangga Bayu Setyawan Dida Diah Damayanti

vii

A Comparative Analysis about the Balance Design of the Assembly Line by Branching amp Bound Method and

Lingo Method 231

Jia Shuyuan Huang Li Li Qin Gu Yonghu

The Optimal Routes and Modes Selection in Multimodal Transportation Networks Based on Improved A

Algorithm 236

Yan Liu Lingyun Wei

Industrial Cluster Optimization Based on Linear Programming 241

Roberto Montemanni Jafar Jamal

Multi-objective Joint Optimization of Batch-discrete Hybrid Flow Shop Scheduling Integrated with Machine

Maintenance 247

Yangyang Fei Huimin Ma

Investigating the Interrelationship between Stochastic Aircraft Routing of Airlines and Maintenance Staffing

of Maintenance Providers 254

Felix T S Chan Abdelrahman E E Eltoukhy

An Modified Relax-and-fix Algorithm for the Multi-level Lot-sizing Problem with Replaceablility 262

Mingyuan Wei Yifei Yuan Canrong Zhang

Height-Based Heuristics for Relocating Containers during Loading Operations 268

Yifei Yuan Canrong Zhang Ting Huang

A Record-to-Record Travel Algorithm for Multi-product and Multi-period Inventory Routing Problem 274

Fadillah Ramadhan Arif Imran Afrin Fauzya Rizana

Developing Tabu Search with Intensification and Diversification for the Seriation Problem 279

Pimprapai Thainiam

A Comparative Study of Mixed-Integer Linear Programming and Genetic Algorithms for Solving Binary

Problems 284

Punyisa Kuendee Udom Janjarassuk

Production Planning and Control

Concurrent Optimization of Job Shop Scheduling and Dynamic and Flexible Facility Layout Planning 289

Ryota Kamoshida

Makespan Minimization on Single Batch-processing Machine Considering Preventive Maintenance 294

Jingying Huang Liya Wang

viii

Customer Kansei-Oriented Restaurant Location Evaluation Using Kansei Engineering 299

Yu-Hsiang Hsiao Guan-Ting Chen

An Improvement Scheme for the Overall Line Effectiveness of a Production Line A Case Study 304

Jieli Li Yuhui Jia Binbin Xu Fei Chen Zhaojun Yang Xiaodong Li

An Adjustment Method for Material Inventory Control Decision Considered in Product Life Cycle 310

Jiun-Shiung Lin Jen-Huei Chang i-Yan Yang

Application of a Hidden Markov Model for Consistency Checking of Process Plant Facility Tag NumbersmdashA

Case Study 314

Jayaram Sivaramakrishnan Gareth Lee

Analyzing Circadian Rhythms for Breaktime Schedulling on Night Shift Work 321

Lovely Lady Ansor Firdaus

Resource-Reconfigured Flow Shop Scheduling and Lot-Sizing Problems in Semiconductor Test 326

Yige Zhang Yuangen Lu Cangrong Zhang

Process Flow Improvement in Production of Noise Filter Products through Lean Manufacturing Technique

333

Rattarak Moonpragarn Rungchat Chompu-inwai

Waste Reduction in the Shoe Sewing Factory 340

Pongpat Phetrungrueng

The Joint Replenishment Problem with Resource Restriction A Note 345

M I M Wahab Y Chen

Aggregate Planning in Canned Pineapple Production Lines 349

Datepard Charoenponyarrat Tuanjai Somboonwiwat

Applications of Data Mining

A Research Study on Unsupervised Machine Learning Algorithms for Early Fault Detection in Predictive

Maintenance 355

Nagdev Amruthnath Tarun Gupta

The Analysis of Matching Learners in Pair Programming Using K-Means 362

Naladtaporn Aottiwerch Urachart Kokaew

Machine Learning Based Approach for Demand Forecasting Anti-aircraft Missiles 367

Jaedong Kim Hanjun Lee Soobin Choi

ix

Quality Control and product lifecycle Management

Simultaneous Prediction Interval-Based Multiobjective Solution Approach for Multiple Quality Characteristics

Optimization 373

Abhinav Kumar Sharma Indrajit Mukherjee

The TQM Integration in Procurement Function Performance 378

Bisalyaputra K

Safety Analysis at Weaving Department of PT X Bogor Using Failure Mode and Effect Analysis (FMEA) and

Fault Tree Analysis (FTA) 382

Prima Fithri Nidi Annisa Riva Lusi Susanti Berry Yuliandra

Success Determinants to Product Lifecycle Management (PLM) Performance 386

Shikha Singh Subhas Chandra Misra

Company Performance Measurement for Automobile Companies a Composite Indicator from an

Environmental Perspective 391

Qinqin Zeng Wouter W A Beelaerts van Blokland Sicco C Santema Gabriel Lodewijks

Loss Time Reduction for Improve Overall Equipment Effectiveness (OEE) 396

Kamolchanok Krachangchan Natcha Thawesaengskulthai

Service Innovation and Management

Estimating Diffusion of Technology Using User Perceptual Values A Conceptual Model 401

Chaudry Bilal Ahmad Khan

Implementation of Innovative Digitalization Methods in Reverse Engineering 406

Monika Teliškovaacute Martin Pollaacutek Jozef Toumlroumlk Jakub Kaščaacutek Petr Baron Viktoria Mezencevova

Topological Evolution of Public Transportation Network A Case Study of Bangkok Rail Transit Network 410

Pijaya Na Bangxang Pisit Jarumaneeroj

A Design of Automated Parking System for Shopping Centers in Metro Manila 415

Ma Janice J Gumasing Charles Aaron V Atienza

Design of an Ergonomic Classroom Chair and Desk for Preschool Students of Selected Public Schools in

Cabuyao City Laguna 420

Ezrha C Godilano Mark Kevin G Galang Hazel Elaine O Ramilo Kristian Roi F Velayo

Design of an Ergonomic Wheelbarrow to Reduce Physiological Demands of General Users 424

Ezrha C Godilano Karl Vincent Casas Aubrey Justine Vargas

x

Ergonomic Intervention Addressing Musculoskeletal Disorders among Poultry Layer Workers 429

Ma Janice J Gumasing Rex Aurelius C Robielos

Wristwatch Development Based on Kansei Engineering 435

Imam Djati Widodo Heavy Zerry Novibrilliawan

Innovative Product Development of Fabric Glass Interlayer 440

Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong

Systems Modeling and Simulation

A Simulation Study of Multi-dimensional Clearing Function Considering Degradation for Semiconductor

Manufacturing 448

Jianqiu Huang Jingying Huang Liya Wang

Productivity Improvement of Tapioca Packing Process through Simulation Modeling Analysis 453

Nara Samattapapong

Modelling the Barriers for Mass Adoption of Electric Vehicles in Indian Automotive Sector An Interpretive

Structural Modeling (ISM) Approach 458

Surya Prakash Sameer Sharma Poudel Maheshwar Dwivedy Dilesh Raj Shrestha

Diagnostics of the Wire Coating Production Line by Implementation of Computation Methods 463

Ivan Kuric Miroslav Cisar Ivan Zajacko Tomas Gal

District Model with Two Types of Vehicles for Transporting Sugarcane 468

Rujirat Patcharamethanon Kanchala Sudtachat

Experiment of Induction Heating Application for Heating Multilayer Metallic Hollow Altered Cylinder 475

Jakkarin Srituvanont Thanaset Thosdeekoraphat Chanchai Thongsopa Samran Santalunai

A Framework for Analyzing and Developing Dashboard Templates for Small and Medium Enterprises 479

Wasinee Noonpakdee Thitiporn Khunkornsiri Acharaphun Phothichai Kriangsak Danaisawat

An Economic Order Quantity Model with Continous Quantity Discount and Probabilistic Demand 484

Ardian Rizaldi Ashaeurizky Dilianaputri Fitri A Anugrah Riska Ummaya Senator Nur Bahagia

Technology and Knowledge Management

Analyzing Interdependencies in a Project Portfolio Using Social Network Analysis Metrics 490

Helal Al Zaabi Hamdi Bashir

Sentiment Analysis of Twitter Corpus Related to Artificial Intelligence Assistants 495

Chae Won Park Dae Ryong Seo

xi

Artificial Neural Neural Network Approach for Technology Life Cyle Construction on Patent Data 499

Muhammad Hanif Ramadhan Vialli Ibrahim Malik Teddy Sjafrizal

A Systematic Literature Review on Knowledge Sharing for Innovation Empirical Study Approach 504

Augustina Asih Rumanti T M A Ari Samadhi Iwan Inrawan Wiratmadja Indryati Sunaryo

Belief Representation of Design Mental Model Based on Design Rationale 510

Chen Ying Jing Shikai Wang Yedong Cheng Dada

Study on Teaching Methods of Fundamental Electrical Courses in Engineering Education 515

Jianpei Chen Fei Gao Lingling Kong Lin Cui

Supply Chain Management

Supply Chain Model for Renewable Energy Resource from Biomass in Vietnam 520

Duy Nguyen Duc Narameth Nananukul

Exploring the Implementation of Green Supply Chain with Cluster and Discriminant AnalysismdashCase Study

Furniture Industry at Central Java Semarang 526

Aries Susanty Diana Puspita Sari

Systematic Literature Review and Improved Model for Mitigating Bullwhip Effect in Low Shelf Life Food

Supply Chain 531

Nia Novitasari Dida Diah Damayanti

Supply Chain Management Performance and Partial Least Square-Structural Equation Model An application

to Thai Tourism Supply Chain 536

Daraka Palang Korrakot Yaibuathet Tippayawong

An Economic Competitiveness Analysis of Power Generation Plants 543

Ndala Yves Mulongo Pule Kholopane

Supplier Selection Considering Sustainablitity Criteria by Using A Hybrid Evaluation Method in Printing

Business 548

Onsiree Mananawigapol Chorkaew Jaturanonda Tuanjai Somboonwiwat

Barriers and Drivers of eBIZ Adoption in the Fashion Supply Chain Preliminary Results 555

Bianca Bindi Virginia Fani Romeo Bandinelli Gilda Massa Gessica Ciaccio Arianna Brutti Piero De

Sabbata

A Simulation Analysis on Regional Logistics Development Based on System Dynamics The Case of Yunnan

Province 560

Yinyuan Si Wensheng Yang Huini Zhou

Lenovo
Highlight

xii

A Sustainability Assessment of Electricity Supply Systems 565

Ndala Yves Mulongo Pule Kholopane

Author Index

1040-1210 Friday 27 Apr

Session B-2 Supply Chain Management Venue Lemongrass Room

Chair

N066

Time 1040-1055

A study on Healthcare-product Supply Chain with a group purchasing organization Ms Yin Han Lingyun Wei Beijing University of posts and telecommunications Beijing China

In order to better understand the impact of group purchasing organization (GPO) on healthcare-product supply chain we build a supply chain model consisting of one manufacturer one competitive source one group purchasing organization(GPO) and n healthcare providers for a single product Providers may purchase from any source for minimizing their total costs Through considering different providersrsquo demands power schemes and revenue sharing between GPO and providers we analyze the performance of supply chain and its members under various situations Numerical examples show some interesting findings (1) When GPO dominates the supply chain GPO can obtain more profits (2)When manufacturer dominates the supply chain and GPO shares its revenue with providers there exists specific revenue sharing rates which increase GPOrsquos profits and reduce providersrsquo cost (3) Manufacturer always can achieve a same optimal profit by changing quantity discount rate when GPO dominates supply chain and shares its revenue with providers

N108

Time 1055-1110

Exploring the Implementation of Green Supply Chain with Cluster and Discriminant Analysis Case Study Furniture Industry at Central Java Semarang Dr Aries Susanty Diana Puspitasari Diponegoro Univeristy Indonesia This study has two objectives First this study aims to categorize the level of the implementation of Green Supply Chain Management (GSCM) practice among Small and Medium Enterprises (SMEs) of wooden furniture in several clusters Second this study aims to find the linear combination of five dimensions of GSCM practices that will discriminate best between prior defined clusters The study used primary data through questionnaires enclosed with the Likert scale 1-5 at 162 SMEs of wooden furniture located in Surakarta Jepara Semarang and Kudus The raw data level of implementation of five dimensions of GSCM practice is analyzed using K-Means cluster and discriminant analysis with the aid of the Statistical Package for the Social Sciences (SPSS) software The result of K-Means cluster analysis indicated that a two-cluster is the optimal number of a group for separating the data of the level of implementation of GSSM practice among SMEs of wooden furniture and the two clusters founded in this research are labeled as early adopter and laggards Then the result of the discriminant analysis indicated that as high as 9877 of the SMEs of wooden furniture was classified correctly The result of discriminant analysis also revealed the discriminant function as Z= (0238IEM) + (0602GPU) + (1161CCO) + (1128ECO) + (1126IRE) - 13124 and the threshold for evaluating a discriminant score of

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Conferences gt 2018 5th International Confer

3 Author(s) Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa View All Authors

Demand management practices in the manufacturing industry An empiricalSouth African perspective

38FullText Views

Abstract

Document Sections

I Introduction

II Literature Review

III Methodology

IV Resultsampinterpretations

V Conclusion

Authors

Figures

References

Keywords

Metrics

Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

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Keywords

Metrics

AbstractThis paper aims to identify and explore Demand Management (DM) practices used within the SouthAfrican Manufacturing industry The study followed a qualitative design approach in order to identifythe relationship between DM methods such as forecasting and the best practices used by therespondents Therefore a purposive sampling technique was used whereby a questionnaire was sentout via email to 15 manufacturing companies before meeting them for a face to face interviewconducted in two weeks Respondents varied from different industries such as automotive wood andpaper chemical food and beverage etc The results demonstrated that although the respondents areaware of the best practices for a good DM system they generally do not apply them entirely becauseof factors like fear of implementing change and failure to quickly adapt themselves to the change thatwould come with those best practices In addition the results also revealed that forecasting is themost used DM method by the respondents and a simple forecasting average is used to predict futuredemand Depending on the company the forecast is done either by a team or by functional areas

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844216

DOI 101109IEA20188387071

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionThe importance of satisfying the customer by meeting the demand has long been recognized bymanagers as crucial to making the organization successful However numerous problems occurand many factors need to be considered in order to give the customer what they want how theywant it as well as where and when they want it Failure to understand crucial characteristics ofdemand will result in supply shortage or excessive stock that will place serious financial burdenson the organization subsequently leading to a loss of market share and customers

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Eric Bakama MikobiDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

Eveth Nwobodo-AnyadiegwuDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

Charles MbohwaDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

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An integrative framework of knowledgemanagement enabled supply chainmanagement2008 IEEE International Conference onIndustrial Engineering and EngineeringManagementPublished 2008

An empirical approach for the application ofknowledge management on downstream supplychain management of Indian public sector oilcompanies2017 Fourteenth International Conference onWireless and Optical Communications Networks(WOCN)Published 2017

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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

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Conferences gt 2018 5th International Confer

2 Author(s) Shikha Singh Subhas Chandra Misra View All Authors

Core challenges to cloud PLM adoption in large manufacturing firms

60FullText Views

Abstract

Document Sections

I Introduction

II Literature Review

III ResearchMethodology

IV Case Study and DataAnalysis

V Result and Discussion

Show Full Outline

Authors

Figures

References

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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

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AbstractAs the globalization is at its peak and innovative products are at high demand firms are forced to workin a collaborative manner The product data must be lively available to all the collaborated partnersAlthough on-premise Product Lifecycle Management (PLM) systems are offering the collaborationsand product data management throughout the products lifecycle the Internet of Things (IoT) eraoffers more connectivity at a lesser cost Though most large manufacturing firms have established theon-premise PLM systems yet face some difficulties related to maintenance and upgradations of in-house information technology (IT) infrastructure Hence cloud PLM is under consideration foradoption among many large manufacturing firms However there are several challenges associatedwith cloud PLM adoption decision This work intends to find out the challenges which largemanufacturing firms face while deciding to adopt cloud PLM The empirical investigations have beenattempted to find out the relations among the challenges faced and to provide the guideline on how tofind out the core challenges which needs to be attended before adopting cloud PLM in largemanufacturing firms

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844276

DOI 101109IEA20188387085

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionProduct lifecycle management (PLM) systems are the IT tools [1] which support the PLMbusiness concept [2] to manage the whole lifecycle of a product in firms PLM systems help totransform the organizations into digitized era and make them technologically robust by giving a3D product designing and virtual manufacturing opportunity [3] PLM systems help in substantialcost savings by reducing the real manufacturing efforts Product-related knowledge must need tobe preserved so that it can help in the other phases of product lifecycle such as repair overhaulreuse recycle and or disposal of the product Increasing number of enterprise informationsystems stakeholders and product related information demand the need for a managementapproach which makes the managers capable of managing all the dispersed product informationat one common repository for reuse

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Shikha SinghDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India

Subhas Chandra MisraDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India

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The automation of the technological processesin the Manufacturing Internet of Things contextfor the pharmaceutical enterprises2018 IEEE 9th International Conference onDependable Systems Services andTechnologies (DESSERT)Published 2018

Integration of ERP and Internet of Things inIntelligent Enterprise Management2018 1st International Cognitive CitiesConference (IC3)Published 2018

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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|

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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance

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Conferences gt 2018 5th International Confer

3 Author(s) Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong View All Authors

Innovative product development of fabric glass interlayer

39FullText Views

Abstract

Document Sections

I Introduction

II Methodology

III Conclusion

Authors

Figures

References

Keywords

MetricsPublished in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

References

Keywords

Metrics

AbstractA glass manufacturer in Thailand developed the laminated fabric glass as innovative product in 2013but sales had declined in 2016 Customers survey shows that the satisfaction level decreased due tolong production lead time high-selling price and long installation time This paper aims to develop anew innovative fabric glass interlayer product by adopting 5D innovation development process 5Dconsists of Discover Define Design Develop and Deploy Firstly discover phase adopted Five ForcesAnalysis Customer Behavior Analysis and Customers Satisfaction Survey for specifying marketposition and seeking the hidden customers expectations Define is to summarize the project charteras initiation step in the project management and to scope resources and timeframe Design weadopted the integration of QFD Kano Model and Product Quality Index for prioritizing and translatingcustomer expectations to product specifications Then all concepts were concluded by Pugh MatrixWeighted Sum Score and confirmed the selected concept by financial feasibility study Developprocess is to prototyping to verify the production before scale up Finally generated the riskassessment plan by FMEA and contributed the business plan to ensure the effectivecommercialization in Deploy The developed fabric glass interlayer shows higher customer satisfactionlevel by shorten production lead time from 14 days to 8 days (4285) lower price from 790 bahtft to 485 bahtft (3861) and shorten installation time from 180 minutes to 45 minutes (75)

2

2

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844226

DOI 101109IEA20188387141

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionThe case company is one of the glass manufacturers in Thailand who process the fundamentalfunctional building glass tempered and laminated glass for the architectural construction andinterior decoration The companys vision was stated to be the leader of glass innovation within2022 To be the leader of the glass innovation case company should focus on the continuousinnovative product development The mainly innovative product that had been sold for manyyears was the fabric glass as 52 52 and 47 in 2015 2016 and 2017 respectively

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Ploynaplus ThanasirithamDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

Natcha ThawesaengskulthaiDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

Prasert AkkharaprathomphongDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

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Study of a Customer Satisfaction-OrientedModel for Outsourcing Software QualityManagement Using Quality FunctionDeployment (QFD)2008 4th International Conference on WirelessCommunications Networking and MobileComputingPublished 2008

Fuzzy Eco-Design Product Development byUsing Quality Function Deployment2005 4th International Symposium onEnvironmentally Conscious Design and InverseManufacturingPublished 2005

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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|

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Conferences gt 2018 5th International Confer

2 Author(s) Jingying Huang Liya Wang View All Authors

Makespan minimization on single batch-processing machine consideringpreventive maintenance

37FullText Views

Abstract

Document Sections

I Introduction

II Problem Description

III Batching Rule

IV Improved Heuristics

V ComputationalResults andDiscussions

Show Full Outline

Authors

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References

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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

References

Keywords

Metrics

AbstractThis paper considers the problem of minimizing makespan on a single batch-processing machineconsidering preventive maintenance A mathematical model for integrating flexible preventivemaintenance into the batch-processing machine scheduling is proposed A two-stage method isproposed to solve the problem A batching rule considering maintenance is proposed to group jobsinto batches firstly And then we improve existing heuristics to schedule production and maintenanceComputational results indicate that the two-stage method based on proposed batching rule andimproved heuristics is effective

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844275

DOI 101109IEA20188387113

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionBPM (Batch processing machine) problem has attracted many researchers in recent years BPMis able to process a group of jobs as long as the number of jobs in the batch is less than or equalto the capacity of the machine To minimize total flow time Rui Xu [1] proposed an ant colonyalgorithm combined with the candidate list NR Parsa [2] proposed an algorithm using a hybridmax-min ant system AH Kashan [3] proposed a batch based hybrid genetic algorithm thatgenerates random batches of jobs and ensures feasibility To minimize total earliness andtardiness of the jobs NR Parsa [4] proposed a dynamic programming algorithm and severalheuristics BPM problem is practically applied in many manufacturing industries One of them issemiconductor wafer manufacturing industry BPM problem is applied in the furnace area in themanufacturing process of semiconductor wafers The machine is only shared by jobs requiringthe particular processing operation [5] That is in reality only semiconductor wafers with thesame kind of process can be grouped into a batch However the papers above did not take thisconstraint into consideration They assumed the jobs with different processing time can begrouped into the same batches Also the above papers did not consider about maintenancewhen grouping and scheduling jobs

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Jingying HuangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina

Liya WangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina

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ACO-based Parallel Machine SchedulingConsidering Both Setup Time and Run-basedPreventive Maintenance with ReliabilityConstraints2018 IEEE International Conference onIndustrial Engineering and EngineeringManagement (IEEM)Published 2018

MSPT2 Heuristic and Dynamic ProgrammingMethod for the Parallel Machine SchedulingProblem with scheduled PreventiveMaintenance2006 International Conference on ServiceSystems and Service ManagementPublished 2006

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About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|

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KEYNOTE AND INVITE SPEAKERS

Keynote Speech

Keynote Speech ndashI

Abstract of speech

Many products are designed to last longer than

the typical lifespan of human being Its thus a

challenge to validate the design life through

reliability tests even when testing is conducted

under much harsher environment Not only that

test duration is usually constrained but the

samples available for testing may also be costly

andor limited in quantity Statistically optimal

plans will allow for efficient use of testing

resources and yet derive the most information

from the test In this presentation we shall

discuss ideas related to designing test plans for

both constant stress and step stress ALT leading

to the statistical optimal plan for sequential ALT

While that of constant ALT is basically a Bayesian

approach that for the step stress ALT requires

solving a dynamic program using backward

induction For the latter optimal solutions are

only available for exponential lifetime and there

are rooms for further research

Loon Ching TANG

BIO Dr Loon Ching TANG is currently the Director of

Temasek Defence Systems Institute and Professor of

Department of Industrial Systems Engineering and

Management at the National University of Singapore

He obtained his PhD degree from Cornell University in

the field of Operations Research in 1992 and has

published extensively in areas related to industrial

engineering and operations research He has been

presented with a number of best paper awards

including the IIE Transactions 2010 Best Application

Paper Award and 2012 RA EvansPK McElroy Award

for the best paper at Annual RAMS Prof Tang is the

main author of the award-winning book Six Sigma

Advanced Tools for Black Belts and Master Black Belts

Besides being active in the forefront of academic

research in the last 25 years Prof Tang has served as

consultant for many organizations such as the

Ministry of Home Affair Singapore Power Republic of

Singapore Air Force Seagate HP Phillips etc on a

wide range of projects aiming at improving

organizational and operations efficiency especially

through better management of engineering assets He

is currently a fellow of ISEAM the Editor of Quality amp

Reliability Engineering International and an editorial

review board member of the flagship journal of ASQ

Journal of Quality Technology (since 2006) He has

served as the Region VP (Asia) of IIE (2013-16) and a

member of the advisory board of the Singapore

Innovation and Productivity Institute

Apr 26(Thu) 2018 1305-1350

Auditorium Room

ldquoPlanning Sequential Accelerated Life Testingrdquo

Prof Loon Ching TANG

National University of Singapore Singapore

Lenovo
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Keynote Speech ndashII

George ZHANG

BIO Professor Zhe George Zhang is a professor of

Management Science in the Department of Decision

Sciences at Western Washington University and a

professor of Operations Management in Beedie

School of Business at Simon Fraser University He is

also visiting professor of Sauder School of Business

at the University of British Columbia Dr Zhang

received his BS in Computer Science and MA in

Economics from Nankai University China his MBA

from the Schulich School of Business at York

University and his PhD in Operations research from

the University of Waterloo Professor Zhang has

published many papers in prestigious journals such

as Management Science Operations Research

Manufacturing amp Service Operations Management

Production and Operations Management IIE

Transactions IEEE Transactions Queueing Systems

Journal of Applied Probability Co-authored with

Professor Tian in 2006 he published the research

monograph Vacation Queueing Models - Theory

and Applications the first book on this particular

topic (now highly cited) Professor Zhangs research

interests include queueing theory and applications

and stochastic models for manufacturing and

service systems The main theme of his research is

to bridge the gap between theory and application

obtaining unobservable and sometimes

counter-intuitive but significantpractical

management insights via modeling and quantitative

analysis Currently he is particularly interested in

the quantitative and economic analysis of the

congestion problems in urbanmass transportation

networks healthmedical care systems and public

service systems with both customer service quality

and security concerns As an expert in data analysis

and quantitative modeling he has consulted in

industry and has given research seminars and short

lectures at leading universities around the world He

was invited to present plenary or keynote talks in

several international conferences Professor Zhang

is the one of Editor-in-Chiefs for new journal

Queueing Models and Service Management aan

associate editor of INFOR (Information Systems and

Operations Research) and is on the editorial board

of several international journals in Operations

Research and Management Science

Apr 26(Thu) 2018 1350-1435

Auditorium Room

ldquordquo

Prof George ZHANG

Western Washington University USA

Lenovo
Highlight

Keynote Speech ndashIII

Abstract of speech

The purpose of this paper is to investigate the

generalized age maintenance policies for a system

with random working times When the system fails

it is subject to one of two types of failures with

age-dependent probability type I failure can be

removed by minimal repair and type II failure must

be rectified by replacementA First the system is

preventively replaced before type II failure at time T

or at the completion of Nth working projects

whichever occurs first Two modified models where

the system is preventively replaced before type II

failure at time T or at the completion of Nth

working projects whichever occurs last and it is

preventively replaced at the first completion of the

working project over time T or at the completion of

Nth working projects whichever occurs first are

considered By introducing costs due to repairs

maintenance and replacement the expected cost

per unit time is derived as a criterion of optimality

and the optimal policy that minimizes that cost is

discussed analytically

Shey-Huei SHEU

BIO Professor Shey-Huei Sheu is a Chair Professor

of Department of Statistics and Informatics Science

at the Providence University He is an Honorary

Chair Professor of the Department of Industrial

Management at the National Taiwan University of

Science and Technology He received his MS

degree (1979) in applied mathematics from the

National Tsing Hua University and his PhD degree

(1987) in statistics from the University of Kentucky

He has published in journals such as Naval Research

Logistics Journal of Applied Probability RAIRO

Operations Research Microelectronics and

Reliability Reliability Engineering and System Safety

International Journal of Systems Science Quality

and Reliability Engineering International

International Journal of Reliability Quality and

Safety Engineering Journal of the Operational

Research Society European Journal of the

Operational Research Computers and Operation

Research Computers and Industrial Engineering

Quality Engineering Asia-Pacific Journal of the

Operational Research Communications in

Statistics-Theory and Methods Computers and

Mathematics with Applications Simulation

Modeling Practice and Theory Communications in

Statistics-Simulation and Computation Journal of

Statistical Computation and Simulation

International Journal of Production Economics

Quality Technology and Quantitative Management

The International Journal of Advanced

Manufacturing Technology Expert Systems

International Journal of Computer Mathematics

Journal of Applied Statistics Production Planning

and Control International Journal of Production

Research Applied Mathematical Modelling IEEE

Transactions on Reliability and Annals of

Operations Research

Apr 26(Thu) 2018 1435-1520

Auditorium Room

ldquoThe Generalized Age Maintenance Policies with

Random Working Timesrdquo

Prof Shey-Huei SHEU

Providence University Taiwan

Lenovo
Highlight

Keynote Speech ndashIV

Abstract of speech

IEEE 80211ah a specification belonging to 80211

wireless local area network (WLAN) protocol family

has been recently released to support the

long-range low-power and low-rate wireless

communication among smart devices used in

Internet of Thing (IoT) systems However security

requirements of the energy-constrained devices

have plenty of issues different from the traditional

wireless devices It requires that the lightweight

security protocols have to support low-power and

low-latency as well as the long-lasting features of

quantities of IoT devices The recently released IEEE

statndard IEEE 80211ai has specified a Fast Initial

Link Setup (FILS) which is a brand-new approach

aiming at establishing fast stable and secure links

among smart devices IEEE 80211ai could be applied

to other wireless systems such as the wireless

system of IEEE 80211ah with security

enhancements In this talk I would address the

secureity issues of IEEE 80211ai and IEEE 80211ah

with an new proposal to enhance the

authentication process in the link setup procedure

specified by IEEE 80211ai

Maode MA

BIO Dr Maode Ma is a Fellow of IET He received his

PhD degree in computer science from Hong Kong

University of Science and Technology in 1999 Now

Dr Ma is an Associate Professor in the School of

Electrical and Electronic Engineering at Nanyang

Technological University in Singapore He has

extensive research interests including network

security and wireless networking Dr Ma has about

350 international academic publications including

over 160 journal papers and about 190 conference

papers He has delivered over 50 keynote speeches

at various international conferences He has served

as various chairs for over 100 international

conferences He currently serves as the

Editor-in-Chief of International Journal of Computer

and Communication Engineering and International

Journal of Electronic Transport He also serves as a

Senior Editor or an Associate Editor for other 4

international academic journals Dr Ma is a Senior

Member of IEEE Communication Society and IEEE

Education Society and a Member of ACM He is the

Chair of the IEEE Education Society Singapore

Chapter and the Chair of the ACM Singapore

Chapter He has served as an IEEE Communication

Society Distinguished Lecturer from 2013-2016

Apr 26(Thu) 2018 1530-1615

Auditorium Room

ldquoEfficient and Secure Authentication Schemes for

IEEE 80211ah Networks rdquo

Prof Maode MA

Nanyang Technological University Singapore

Lenovo
Highlight

Keynote Speech ndashV

Abstract of speech

Stochastic aircraft routing (SAR) plays a critical role

in defining the routing plans of airlines which

include assigning the aircraft to flight legs and

determining the time and location of maintenance

to the aircraft Based on the routing plan specified

by the airlines the maintenance providers should

schedule their workforce to perform maintenance

operations by solving the maintenance staffing

problem (MSP) MSP helps maintenance providers

to build their staffing plans which include the

assignment of manpower to each aircraft so that

aircraft receive the required maintenance

operations as planned Practically for airlines the

routing plan will be interrupted (eg flight delays) if

an aircraft cannot be released from the

maintenance station punctually Similarly for

maintenance providers if an aircraft misses the

scheduled appointment at the maintenance station

this will also cause a huge interruption to their

staffing plan Therefore there is an interrelationship

between SAR and MSP In the literature the focus

of each problem has been traditionally considered

separately with only limited consideration of their

interrelationship In this paper we study SAR along

with MSP with the objective of investigating the

interrelationship between SAR and MSP For this

purpose we propose a coordinated configuration

of SAR and MSP that is formulated as a

leader-follower Stackelbery game in which SAR

acts as a leader and MSP acts as a follower This

game is enacted through a bi-level optimization

model which is solved by a bi-level nested ant

colony optimization (ACO) algorithm A case study

of a major airline and maintenance provider located

in the Middle East is presented to demonstrate the

feasibility and potential of the proposed model The

results demonstrate significant saving in the costs

of both companies

Felix TS CHAN

BIO Professor Felix T S Chan received his BSc

Degree in Mechanical Engineering from Brighton

Polytechnic (now University) UK and obtained his

MSc and PhD in Manufacturing Engineering from

the Imperial College of Science and Technology

University of London UK Professor Chan is now

working at the Department of Industrial and

Systems Engineering The Hong Kong Polytechnic

University and also serving as Associate Dean

(Research) at the Faculty of Engineering His current

research interests are Logistics and Supply Chain

Management Operations Management

Distribution Coordination Systems Modelling and

Simulation AI Optimisation To date he has

published 16 book chapters over 300 refereed

international journal papers and 250 peer reviewed

international conference papers h index= 30 under

the Web of Science He is a chartered member of

the Chartered Institute of Logistics and Transport in

Hong Kong According to a study lately published in

the International Journal of Production Research

(httpdxdoiorg1010800020754320151037935)

the study measured the research contributions over

a 26-year time frame (1985-2010) of academic

institutions and individual authors to the field of

Apr 26(Thu) 2018 1615-1700

Auditorium Room

ldquoInvestigating the Interrelationship between

Stochastic Aircraft Routing of Airlines and

Maintenance Staffing of Maintenance Providersrdquo

Prof Felix TS CHAN

The Hong Kong Polytechnic University Hong Kong

Lenovo
Highlight

Operations Management (OM) based on published

articles in 11 top-rated and well-known academic OM

journals Professor Chan was among the top 50

prolific authors list who have made the greatest

overall contribution to the field as measured by the

number of distributed and shared articles published

in the 11 designated journals Also Professor Chan

was Ranked No 3 in The top 100 authors as the

most productive researchers in the field of

Operations Management over the past 10 years

(2001-2010)

COMMITTEE

ICIEA 2018 Organizing Committee

International Advisory Committee

Zhe George Zhang Western Washington University USA

Conference Chairs

Felix T S Chan The Hong Kong Polytechnic University Hong Kong

Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan

Local Organizing Chair

TANG Loon Ching National University of Singapore Singapore

Organizing and Program Committees

Seoung Bum Kim School of Industrial Mangement Engineering Korea University

Usik Lee Inha University Korea

Maode Ma Nanyang Technological University Singapore

Finance Chair

Minghan Xi Dalian Maritime University China

International Technical Committees

Cheng-Feng HuNational Chiayi University Taiwan

Dong-Yuh YangNational Taipei University of Business Taiwan

Mario HirzGraz University of Technology Austria

Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt

Po-Hsiang Liu College of Business and Management in St Johns University USA

Taesu Cheong Korea University Korea

Tien-Lun Liu Chung Yuan Christian University Taiwan

Wei CaiWuhan University of Technology China

Jinguo Huang Huazhong University of Science and Technology China

Yu-Chung Tsao National Taiwan University of Science Technology Taiwan

Yip Mum WaiTunku Abdul Rahman University College Malaysia

Pule Kholopane University of Johannesburg South Africa

Bonivasius Prasetya Ichtiarto mercu buana university Indonesia

Elita Amrina Andalas University Indonesia

Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan

Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong

Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia

Lenovo
Highlight
Lenovo
Highlight
Lenovo
Highlight
Lenovo
Highlight

Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India

Byung Do Chung Yonsei University Korea

M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia

Sandeep Singhal National Institute of Technology India

J W Wang The University of Hong Kong Hong Kong

Ching-Chang Kuo National Taichung University of Science and Technology Taiwan

Kuo-Hsiung Wang Providence University Taiwan

ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia

Sangbok Lee Hansung University Korea

Adrian E Coronado Mondragon Royal Holloway University of London UK

Chin-I Lee Ling Tung University Taiwan

S H ChoiUniversity of Hong Kong Hong Kong

Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan

Wei Cai Wuhan University of Technology China

Hashibah Hamid Universiti Utara Malaysia Malaysia

TMA Ari Samadhi Bandung Institute of Technology Indonesia

Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia

Pi-Chun Hsu Chaoyang University of Technology Taiwan

Mu-Chen Chen National Chiao Tung University Taiwan

Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan

Tsu-Wei Yu Chaoyang University of Technology Taiwan

Lingyun Wei Beijing University of Posts and Telecommunications China

Hamdi Bashir University of sharjahUnited Arab Emirates

LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand

LIU Hai-peng Kunming University of Science and Technology China

Elfira Febriani Trisakti University Indonesia

Yu-Hsiang Hsiao National Taipei University Taiwan

Chien-Chih Wang Ming Chi University of Technology Taiwan

Atichart Harncharnchai Chiang Mai University Thailand

Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)

Switzerland

Bambang Suhardi Universitas Sebelas Maret Indonesia

Ssu Han Chen Ming Chi University of Technology Taiwan

Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia

Augustina Asih Rumanti Bandung Institute of Technology Indonesia

Maheshwar Dwivedy BML Munjal University India

Zhichuan Guan China university of petroleum (East China) China

Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia

Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia

Yenming J Chen National Kaohsiung University of Science and Technology Taiwan

Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia

TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand

Li Li Nanjing University of Science and Technology China

SERTIFIKAT

Page 3: Nilai Maksimal Prosiding - eprints.undip.ac.ideprints.undip.ac.id/70482/1/...of_GSCM_practice_peer_review_lengkap.pdf · discriminant function as Z= (0.238-IeM) + (0.602-GPU) + (1.161-CCO)

Scopus

Document details

10 of 38

Exploring the implementation of green supply chain with cluster anddiscriminant analysis Case study Furniture industry at Central JavaSemarang (Conference Paper)

Industrial Engineering Department Diponegoro University Campus Tembalang Semarang Central Java Indonesia

AbstractThis study has two objectives First this study aims to categorize the level of the implementation of Green SupplyChain Management (GSCM) practice among Small and Medium Enterprises (SMEs) of wooden furniture in severalclusters Second this study aims to find the linear combination of five dimensions of GSCM practices that willdiscriminate best between prior defined clusters The study used primary data through questionnaires enclosed withthe Likert scale 1-5 at 162 SMEs of wooden furniture located in Surakarta Jepara Semarang and Kudus The raw datalevel of implementation of five dimensions of GSCM practice is analyzed using K-Means cluster and discriminantanalysis with the aid of the Statistical Package for the Social Sciences (SPSS) software The result of K-Means clusteranalysis indicated that a two-cluster is the optimal number of a group for separating the data of the level ofimplementation of GSSM practice among SMEs of wooden furniture and the two clusters founded in this research arelabeled as early adopter and laggards Then the result of the discriminant analysis indicated that as high as 9877 ofthe SMEs of wooden furniture was classified correctly The result of discriminant analysis also revealed thediscriminant function as Z= (0238-IeM) + (0602-GPU) + (1161-CCO) + (1128-ECO) + (1126-IRE) - 13124 and thethreshold for evaluating a discriminant score of implementation of GSCM practice is -0276 The implementation ofGSCM practices by new SMEs of wooden furniture with discriminant scores above -0276 would be assigned to theEarly Adoption (cluster 1) otherwise they would be classified as Laggards (cluster 2) copy 2018 IEEE

SciVal Topic Prominence

Topic

Prominence percentile 99931

Author keywordsdiscriminant analysis GSCM practices jepara K-means cluster kudus semarang surakarta

Indexed keywords

Engineeringcontrolled terms

Cluster analysis Java programming language Social sciences computing

Supply chain management Surveys

Engineeringuncontrolled terms

GSCM practices jepara K-means clusters kudus semarang surakarta

Engineering mainheading

Discriminant analysis

Funding details

Back to results Previous Next

Export Download Print E-mail Save to PDF ⋆ Add to List More

View at Publisher

2018 5th International Conference on Industrial Engineering and Applications ICIEA 201815 June 2018 Pages 526-5305th International Conference on Industrial Engineering and Applications ICIEA 2018 ShawFoundation Alumni House National University of SingaporeSingapore Singapore 26 April2018 through 28 April 2018 Category numberCFP18L08-PRT Code 115072

Susanty A Sari DP

View references (36)

Supply chain management | Supply chains | GSCM practices

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Green supply chain managementand firms performanceUnderstanding potentialrelationships and the role ofgreen sourcing and some othergreen practices

Jabbour ABLDS FrascareliFCDO Jabbour CJC

The impact of implementinggreen supply chain managementpractices on corporateperformance

Younis H Sundarakani B VelP

Prioritization of green supplychain indicators with analytichierarchy process (AHP) model

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References (36)

Funding sponsor Funding number AcronymFunding sponsor Funding number Acronym

Ministry of Higher Education and Scientific Research

Funding textACKNOWLEDGMENT The authors wish to acknowledge to the Ministry of Research and Higher Education for givingthe authors the opportunity to conduct this research through ldquoPenelitian Unggulan Perguruan Tinggi Grandrdquo

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(2007) Journal of Operations Management 25 (6) pp 1075-1082 doi 101016jjom200701012

Zhu Q Sarkis J Lai K-H

(2008) International Journal of Production Economics 111 (2) pp 261-273 doi 101016jijpe200611029

Yang C-S Lu C-S Haider JJ Marlow PB

(2013) Transportation Research Part E Logistics and Transportation Review 55 pp 55-73

doi 101016jtre201303005

Srivastava SK

(2007) International Journal of Management Reviews 9 (1) pp 53-80 doi 101111j1468-2370200700202x

Zhu Q Sarkis J

(2004) Journal of Operations Management 22 (3) pp 265-289 doi 101016jjom200401005

ISBN 978-153865747-8Source Type Conference ProceedingOriginal language English

DOI 101109IEA20188387157Document Type Conference PaperPublisher Institute of Electrical and Electronics Engineers Inc

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The effect of green supply chain management on green performance and firmcompetitiveness in the context of container shipping in Taiwan

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Green supply-chain management A state-of-the-art literature review

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Relationships between operational practices and performance among early adopters ofgreen supply chain management practices in Chinese manufacturing enterprises

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doi 10110801443570510593148

Zhu Q Sarkis J Lai K-H

(2013) Journal of Purchasing and Supply Management 19 (2) pp 106-117

doi 101016jpursup201212001

Azevedo SG Carvalho H Cruz Machado V

(2011) Transportation Research Part E Logistics and Transportation Review 47 (6) pp 850-871

doi 101016jtre201105017

Vachon S Klassen RD

(2006) International Journal of Operations and Production Management 26 (7) pp 795-821

doi 10110801443570610672248

Vachon S Klassen RD

(2008) International Journal of Production Economics 111 (2) pp 299-315 doi 101016jijpe200611030

Green Jr KW Zelbst PJ Bhadauria VS Meacham J

(2012) Industrial Management and Data Systems 112 (2) pp 186-205 doi 10110802635571211204254

Gimenez C Sierra V

(2013) Journal of Business Ethics 116 (1) pp 189-203 doi 101007s10551-012-1458-4

6

Green supply chain management in China Pressures practices and performance

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7

Institutional-based antecedents and performance outcomes of internal and externalgreen supply chain management practices

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8

The influence of green practices on supply chain performance A case study approach

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9

Extending green practices across the supply chain The impact of upstream anddownstream integration

Cited 703times

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10

Environmental management and manufacturing performance The role ofcollaboration in the supply chain

Cited 715 times

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11

Do environmental collaboration and monitoring enhance organizationalperformance

Cited 69 times

View at Publisher

12

Sustainable Supply Chains Governance Mechanisms to Greening Suppliers

Cited 89 times

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(2004) Illegal Logging and Global Wood Markets The Competitive Impacts on the US Wood ProductsIndustry American Forest amp Paper Association

Susanty A Santoso H Sari DP Parasayu SEffect of internal green supply chain practices on environmental performance of SMEs of wooden furnitureindustry(2017) Proc World Congress on Engineering 2017 2 July 5-7 London UK

Hamel G Prahalad CK

(1989) Harvard Business Review 67 (3) pp 63-76

Carter CR Ellram LMReverse logistics A review of the literature and framework for future investigation(1998) J Bus Logist 19 (1) pp 85-102

Min H Galle WP

(2001) International Journal of Operations and Production Management 21 (9) pp 1222-1238

doi 101108EUM0000000005923

Zsidisin GA Siferd SP

(2001) European Journal of Purchasing and Supply Management 7 (1) pp 61-73 doi 101016S0969-7012(00)00007-1

Green K Morton B New S

(1998) Supply Chain Management 3 (2) pp 89-95 doi 10110813598549810215405

Schlegelmilch BB Bohlen GM Diamantopoulos AThe link between green purchasing decisions and measures of environmental consciousness(1996) Eur J Mark 30 (5) pp 35-55

ElTayeb TK Zailani S Jayaraman K

(2010) Journal of Manufacturing Technology Management 21 (2) pp 206-225 doi 10110817410381011014378

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To revitalize corporate performance we need a whole new model of strategy Strategicintent

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Green purchasing practices of US firms

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Environmental purchasing A framework for theory development

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19

Green purchasing and supply policies Do they improve companies environmentalperformance

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20

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The examination on the drivers for green purchasing adoption among EMS 14001certified companies in Malaysia

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Zhu Q Geng Y Lai K-H

(2010) Journal of Environmental Management 91 (6) pp 1324-1331 doi 101016jjenvman201002013

Diabat A Khodaverdi R Olfat L

(2013) International Journal of Advanced Manufacturing Technology 68 (1-4) pp 949-961 doi 101007s00170-013-4955-4

Laosirihongthong T Adebanjo D Choon Tan K

(2013) Industrial Management amp Data Systems 113 (8) pp 1088-1109 doi 101108IMDS-04-2013-0164

Zhu Q Sarkis J

(2006) Journal of Cleaner Production 14 (5) pp 472-486 doi 101016jjclepro200501003

Zhu Q Sarkis J

(2007) International Journal of Production Research 45 (18-19) pp 4333-4355 doi 10108000207540701440345

Johansson GSuccess factors for integration of ecodesign in product development A review of state of the art(2002) Environ Manage Health 13 (1) pp 98-107

Eltayeb TK Zailani SGoing green through green supply chain initiatives towards environmental sustainability(2009) Oper Supply Chain Manag 2 (2) pp 93-110

Lee SM Kim ST Choi D

(2012) Industrial Management amp Data Systems 112 (8) pp 1148-1180 doi 10110802635571211264609

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Circular economy practices among Chinese manufacturers varying in environmental-oriented supply chain cooperation and the performance implications

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An exploration of green supply chain practices and performances in an automotiveindustry

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Green supply chain management practices and performance

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An inter-sectoral comparison of green supply chain management in China Driversand practices

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The moderating effects of institutional pressures on emergent green supply chainpractices and performance

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Green supply chain management and organizational performance

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Doshi K Sonawane S Sande K Doiphode SGreen Supply Chain Management Operation and Environmental Impact(2016) AADYA-Natl J Manag Technol (NJMT) 6 pp 81-89

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(1998) Industrial Management and Data Systems 98 (7) pp 313-320

doi 10110802635579810241773

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(2011) Transportation Research Part E Logistics and Transportation Review 47 (6) pp 808-821

doi 101016jtre201009013

Angel Latha Mary S Sivagami AN Usha Rani M

(2015) ARPN Journal of Engineering and Applied Sciences 10 (9) pp 4009-4012

Herremans IM Herschovis MS Bertels S

(2009) Journal of Business Ethics 89 (3) pp 449-472 doi 101007s10551-008-0010-z

Holt D Ghobadian A

(2009) Journal of Manufacturing Technology Management 20 (7) pp 933-956 doi 10110817410380910984212

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The impact of external institutional drivers and internal strategy on environmentalperformance

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Purchasings involvement in environmental issues A multi-country perspective

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Evaluating green supply chain management among Chinese manufacturers from theecological modernization perspective

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Cluster validity measures dynamic clustering algorithms

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An empirical study of green supply chain management practices amongst UKmanufacturers

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COVER DAFTAR ISI DAN BUKTI PESERTA DARI EMPAT

NEGARA

2018 The 5th International

Conference on Industrial

Engineering and Applications

Technical Program

April 26-28 2018

Shaw Foundation Alumni House National University of Singapore

Singapore

wwwicieaorg

Sponsored by Assisted by

ICIEA

2018

iii

2018 5th International Conference on Industrial Engineering and Applications

ICIEA 2018Table of Contents

Decision Analysis and Methods

Towards a Decision Support Approach for Selecting Physical Objects in Collaborative Supply Chain Processes

for Cyber Physical System-Transformation 1

Endric Hetterscheid Florian Schluumlter

Decision Support System for Inventory Control of Raw Materialmdash(Case Study PT Suwarni Agro Mandiri Plant

Pariaman Indonesia) 6

Difana Meilani Amelia Andiningtias Dicky Fatrias

Integration AHP and TOPSIS in Shipyard Location Selection 11

Ali Parkhan Aldrin Daeng Vatimbing Imam Djati Widodo

E-Business and E-Commerce

Inventory Management in E-commerce Supply Chain with Lateral Transshipment and Quick Response17

Xueqing Yu Lingyun Wei

Impact of Recommender Systems on Unplanned Purchase Behaviours in e-Commerce 21

Zhang Ying Chen Caixia Gu Wen Liu Xiaogang

Evaluating and Analyzing the Effectiveness of Online Advertising31

Huini Zhou Li Li Xiaoguang Gu

Micro Enterprise and e-Commerce Platform Literature Review and Agenda for Future Research 38

Clara Linggaputri Isti Surjandari Akhmad Hidayatno

Prefacehelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellipxiii

Conference Committeeshelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellipxiv

iv

Global Manufacturing and Engineering Economics

Optimal Manufacturing Outsourcing Decision Based on the Degree of Manufacturing Process

Standardization49

PingYu Chang Thi Thanh Nhan Phan

A Functional Design of a Cost Benefit Analysis Methodology for Transport Infrastructure Projects54

Tiep Nguyen Stephen Cook Indra Gunawan

Demand Management Practices in the Manufacturing Industry An Empirical South African Perspective 60

Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa

Healthcare Systems and Management

A Study on Healthcare-product Supply Chain with a Group Purchasing Organization67

Yin Han Lingyun Wei

A Study on Shortage of Hospital Beds in the Philippines Using System Dynamics 72

Josephine D German John Karlo P Mintildea Claudine Mae N Alfonso Kang-Hung Yang

Research on Health Monitoring Mechanism Based on Service Invocation79

Xuan Mei Xinming Tan

Business Process Reengineering for the Saline Management in Hospitals84

Sith Vilasdechanon Apichat Sopadang

The Acceptance Model of Hospital Information Systems in Thailand A Conceptual Framework Extending

TAM89

Paneepan Sombat Wornchanok Chaiyasoonthorn Singha Chaveesuk

Human Factors

An Experimental Study to Investigate Personality Traits on Pair Programming Efficiency in Extreme

Programming 95

Ramlall Poonam Chuttur M Yasser

Intention of Opening Up the Network of Personal Data 100

Mao-Sung Chen Tung-Kuan Liu Ming-Tien Tsai

The Differences of Individual Spatial Strategy on Their Solving Performance 105

Sakulporn Pornpanom Arisara Jiamsanguanwong

v

Understanding the Model of User Satisfaction in Using Cloud Storage Systems of Employees in Thailand A

Conceptual Framework 110

Kulapa Najantong Singha Chaveesuk Wornchanok Chaiyasoonthorn

Evaluating Variables That Affect Job Satisfaction of Bank Customer Contact Centre Agents in South Africa

116

Eveth Nwobodo-Anyadiegwu Charles Mbohwa Nokukhanya Ndlovu

Information Processing and Engineering

Real-time Localization and Navigation in an Indoor Environment Using Monocular Camera for Visually

Impaired 122

Kruthika Ramesh Nagananda S N Hariharan Ramasangu Rohini Deshpande

Experiment and Optimization of Magnetostrictive for Long Time Operation to Find Amplitude of Vibration

and Thermal Limit 129

Nuttakorn Pukseesang Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa

Some Methods for Measuring the Efficiency of Firms Utilizing Different Technologies 134

Soobin Choi Jaedong Kim Hanjun Lee

Core Challenges to Cloud PLM Adoption in Large Manufacturing Firms 141

Shikha Singh Subhas Chandra Misra

Intelligent Systems

Visual and Hearing Detection Capabilities to Discriminate whether a UAV Invade a Campus Airspace 146

S J Chang K W Li

Reflections on Facilitating the Development of ldquoInternet Plusrdquo Intelligent Manufacturing in China 150

Yong Tao Gang Zhao Qiushi Li Wen Zhao

A Study of Small Complicated Axisymmetric Parts Manufacturing in Industry 40 158

Chengcheng Zhu Shengdun Zhao Shuaipeng Li

Voltage Stability in DC Micro Grid by Controlling Two Battery Units with Hybrid Network Systems 163

Adhi Kusmantoro Ardyono Priyadi Mauridhi Hery Purnomo

Design and Implementation of IoT Based Smart Laboratory 169

M Poongothai P Muthu Subramanian A Rajeswari

vi

Analysis of Microwave Precipitation in the Topographic Barrier for the Lifting Condensation Level of Clouds

Formation 174

Supawat Kotchapradit Thanaset Thosdeekoraphat Samran Santalunai Chanchai Thongsopa

Improved Efficiency of Insect Pest Control System by SSPA 179

Phanupong Saeung Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa

Manufacturing Systems

Optimized Information Exchange Process between CAD and CAMmdashEnhanced Data Exchange in the Field of

Joining Technology from the Viewpoint of an Automotive Supplier 184

Alexander Kreis Mario Hirz Severin Stadler

Efficiency Improvement of Door Frame Manufacturing Process in Wood Product Manufacturing Industry

189

Lerdlekha Sriratana

The Structural Design of 3D Print Head and Execution of Printing via the Robotic Arm ABB IRB 140 194

Martin Pollaacutek Jozef Toumlroumlk Jozef Zajac Marek Kočiško Monika Teliškovaacute

Micro-fabrication Method of Au Micro-wire Structures on Substrate by Chemical Printing and Peeling Process

199

Potejana Potejanasak

Evaluation of Thermal Comfort Room Garment Workshop in Textile Vocational School 203

Anastasia Febiyani Bambang Suhardi Eko Pujiyanto

Modular Measuring System for the Force Distribution in Forming Processes 208

W Zorn L Hamm R Elsner W G Drossel

Gravity Filling System of Slurry for Rod Mill Sand with High Concentration and Research on Technical

Transformation in Jinchuan Mine 214

Li Li-Tao Yang Zhi-Qiang Gao Qian Wang Yong-Ding

Defect Reduction in the Board Front Door Trim Manufacturing Process 220

Punyisa Kuendee

Operations Research

Integrated Railway Timetable Scheduling Optimization Model and Rescheduling Recovery Optimization

Model A Systematic Literature Review 226

Erlangga Bayu Setyawan Dida Diah Damayanti

vii

A Comparative Analysis about the Balance Design of the Assembly Line by Branching amp Bound Method and

Lingo Method 231

Jia Shuyuan Huang Li Li Qin Gu Yonghu

The Optimal Routes and Modes Selection in Multimodal Transportation Networks Based on Improved A

Algorithm 236

Yan Liu Lingyun Wei

Industrial Cluster Optimization Based on Linear Programming 241

Roberto Montemanni Jafar Jamal

Multi-objective Joint Optimization of Batch-discrete Hybrid Flow Shop Scheduling Integrated with Machine

Maintenance 247

Yangyang Fei Huimin Ma

Investigating the Interrelationship between Stochastic Aircraft Routing of Airlines and Maintenance Staffing

of Maintenance Providers 254

Felix T S Chan Abdelrahman E E Eltoukhy

An Modified Relax-and-fix Algorithm for the Multi-level Lot-sizing Problem with Replaceablility 262

Mingyuan Wei Yifei Yuan Canrong Zhang

Height-Based Heuristics for Relocating Containers during Loading Operations 268

Yifei Yuan Canrong Zhang Ting Huang

A Record-to-Record Travel Algorithm for Multi-product and Multi-period Inventory Routing Problem 274

Fadillah Ramadhan Arif Imran Afrin Fauzya Rizana

Developing Tabu Search with Intensification and Diversification for the Seriation Problem 279

Pimprapai Thainiam

A Comparative Study of Mixed-Integer Linear Programming and Genetic Algorithms for Solving Binary

Problems 284

Punyisa Kuendee Udom Janjarassuk

Production Planning and Control

Concurrent Optimization of Job Shop Scheduling and Dynamic and Flexible Facility Layout Planning 289

Ryota Kamoshida

Makespan Minimization on Single Batch-processing Machine Considering Preventive Maintenance 294

Jingying Huang Liya Wang

viii

Customer Kansei-Oriented Restaurant Location Evaluation Using Kansei Engineering 299

Yu-Hsiang Hsiao Guan-Ting Chen

An Improvement Scheme for the Overall Line Effectiveness of a Production Line A Case Study 304

Jieli Li Yuhui Jia Binbin Xu Fei Chen Zhaojun Yang Xiaodong Li

An Adjustment Method for Material Inventory Control Decision Considered in Product Life Cycle 310

Jiun-Shiung Lin Jen-Huei Chang i-Yan Yang

Application of a Hidden Markov Model for Consistency Checking of Process Plant Facility Tag NumbersmdashA

Case Study 314

Jayaram Sivaramakrishnan Gareth Lee

Analyzing Circadian Rhythms for Breaktime Schedulling on Night Shift Work 321

Lovely Lady Ansor Firdaus

Resource-Reconfigured Flow Shop Scheduling and Lot-Sizing Problems in Semiconductor Test 326

Yige Zhang Yuangen Lu Cangrong Zhang

Process Flow Improvement in Production of Noise Filter Products through Lean Manufacturing Technique

333

Rattarak Moonpragarn Rungchat Chompu-inwai

Waste Reduction in the Shoe Sewing Factory 340

Pongpat Phetrungrueng

The Joint Replenishment Problem with Resource Restriction A Note 345

M I M Wahab Y Chen

Aggregate Planning in Canned Pineapple Production Lines 349

Datepard Charoenponyarrat Tuanjai Somboonwiwat

Applications of Data Mining

A Research Study on Unsupervised Machine Learning Algorithms for Early Fault Detection in Predictive

Maintenance 355

Nagdev Amruthnath Tarun Gupta

The Analysis of Matching Learners in Pair Programming Using K-Means 362

Naladtaporn Aottiwerch Urachart Kokaew

Machine Learning Based Approach for Demand Forecasting Anti-aircraft Missiles 367

Jaedong Kim Hanjun Lee Soobin Choi

ix

Quality Control and product lifecycle Management

Simultaneous Prediction Interval-Based Multiobjective Solution Approach for Multiple Quality Characteristics

Optimization 373

Abhinav Kumar Sharma Indrajit Mukherjee

The TQM Integration in Procurement Function Performance 378

Bisalyaputra K

Safety Analysis at Weaving Department of PT X Bogor Using Failure Mode and Effect Analysis (FMEA) and

Fault Tree Analysis (FTA) 382

Prima Fithri Nidi Annisa Riva Lusi Susanti Berry Yuliandra

Success Determinants to Product Lifecycle Management (PLM) Performance 386

Shikha Singh Subhas Chandra Misra

Company Performance Measurement for Automobile Companies a Composite Indicator from an

Environmental Perspective 391

Qinqin Zeng Wouter W A Beelaerts van Blokland Sicco C Santema Gabriel Lodewijks

Loss Time Reduction for Improve Overall Equipment Effectiveness (OEE) 396

Kamolchanok Krachangchan Natcha Thawesaengskulthai

Service Innovation and Management

Estimating Diffusion of Technology Using User Perceptual Values A Conceptual Model 401

Chaudry Bilal Ahmad Khan

Implementation of Innovative Digitalization Methods in Reverse Engineering 406

Monika Teliškovaacute Martin Pollaacutek Jozef Toumlroumlk Jakub Kaščaacutek Petr Baron Viktoria Mezencevova

Topological Evolution of Public Transportation Network A Case Study of Bangkok Rail Transit Network 410

Pijaya Na Bangxang Pisit Jarumaneeroj

A Design of Automated Parking System for Shopping Centers in Metro Manila 415

Ma Janice J Gumasing Charles Aaron V Atienza

Design of an Ergonomic Classroom Chair and Desk for Preschool Students of Selected Public Schools in

Cabuyao City Laguna 420

Ezrha C Godilano Mark Kevin G Galang Hazel Elaine O Ramilo Kristian Roi F Velayo

Design of an Ergonomic Wheelbarrow to Reduce Physiological Demands of General Users 424

Ezrha C Godilano Karl Vincent Casas Aubrey Justine Vargas

x

Ergonomic Intervention Addressing Musculoskeletal Disorders among Poultry Layer Workers 429

Ma Janice J Gumasing Rex Aurelius C Robielos

Wristwatch Development Based on Kansei Engineering 435

Imam Djati Widodo Heavy Zerry Novibrilliawan

Innovative Product Development of Fabric Glass Interlayer 440

Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong

Systems Modeling and Simulation

A Simulation Study of Multi-dimensional Clearing Function Considering Degradation for Semiconductor

Manufacturing 448

Jianqiu Huang Jingying Huang Liya Wang

Productivity Improvement of Tapioca Packing Process through Simulation Modeling Analysis 453

Nara Samattapapong

Modelling the Barriers for Mass Adoption of Electric Vehicles in Indian Automotive Sector An Interpretive

Structural Modeling (ISM) Approach 458

Surya Prakash Sameer Sharma Poudel Maheshwar Dwivedy Dilesh Raj Shrestha

Diagnostics of the Wire Coating Production Line by Implementation of Computation Methods 463

Ivan Kuric Miroslav Cisar Ivan Zajacko Tomas Gal

District Model with Two Types of Vehicles for Transporting Sugarcane 468

Rujirat Patcharamethanon Kanchala Sudtachat

Experiment of Induction Heating Application for Heating Multilayer Metallic Hollow Altered Cylinder 475

Jakkarin Srituvanont Thanaset Thosdeekoraphat Chanchai Thongsopa Samran Santalunai

A Framework for Analyzing and Developing Dashboard Templates for Small and Medium Enterprises 479

Wasinee Noonpakdee Thitiporn Khunkornsiri Acharaphun Phothichai Kriangsak Danaisawat

An Economic Order Quantity Model with Continous Quantity Discount and Probabilistic Demand 484

Ardian Rizaldi Ashaeurizky Dilianaputri Fitri A Anugrah Riska Ummaya Senator Nur Bahagia

Technology and Knowledge Management

Analyzing Interdependencies in a Project Portfolio Using Social Network Analysis Metrics 490

Helal Al Zaabi Hamdi Bashir

Sentiment Analysis of Twitter Corpus Related to Artificial Intelligence Assistants 495

Chae Won Park Dae Ryong Seo

xi

Artificial Neural Neural Network Approach for Technology Life Cyle Construction on Patent Data 499

Muhammad Hanif Ramadhan Vialli Ibrahim Malik Teddy Sjafrizal

A Systematic Literature Review on Knowledge Sharing for Innovation Empirical Study Approach 504

Augustina Asih Rumanti T M A Ari Samadhi Iwan Inrawan Wiratmadja Indryati Sunaryo

Belief Representation of Design Mental Model Based on Design Rationale 510

Chen Ying Jing Shikai Wang Yedong Cheng Dada

Study on Teaching Methods of Fundamental Electrical Courses in Engineering Education 515

Jianpei Chen Fei Gao Lingling Kong Lin Cui

Supply Chain Management

Supply Chain Model for Renewable Energy Resource from Biomass in Vietnam 520

Duy Nguyen Duc Narameth Nananukul

Exploring the Implementation of Green Supply Chain with Cluster and Discriminant AnalysismdashCase Study

Furniture Industry at Central Java Semarang 526

Aries Susanty Diana Puspita Sari

Systematic Literature Review and Improved Model for Mitigating Bullwhip Effect in Low Shelf Life Food

Supply Chain 531

Nia Novitasari Dida Diah Damayanti

Supply Chain Management Performance and Partial Least Square-Structural Equation Model An application

to Thai Tourism Supply Chain 536

Daraka Palang Korrakot Yaibuathet Tippayawong

An Economic Competitiveness Analysis of Power Generation Plants 543

Ndala Yves Mulongo Pule Kholopane

Supplier Selection Considering Sustainablitity Criteria by Using A Hybrid Evaluation Method in Printing

Business 548

Onsiree Mananawigapol Chorkaew Jaturanonda Tuanjai Somboonwiwat

Barriers and Drivers of eBIZ Adoption in the Fashion Supply Chain Preliminary Results 555

Bianca Bindi Virginia Fani Romeo Bandinelli Gilda Massa Gessica Ciaccio Arianna Brutti Piero De

Sabbata

A Simulation Analysis on Regional Logistics Development Based on System Dynamics The Case of Yunnan

Province 560

Yinyuan Si Wensheng Yang Huini Zhou

Lenovo
Highlight

xii

A Sustainability Assessment of Electricity Supply Systems 565

Ndala Yves Mulongo Pule Kholopane

Author Index

1040-1210 Friday 27 Apr

Session B-2 Supply Chain Management Venue Lemongrass Room

Chair

N066

Time 1040-1055

A study on Healthcare-product Supply Chain with a group purchasing organization Ms Yin Han Lingyun Wei Beijing University of posts and telecommunications Beijing China

In order to better understand the impact of group purchasing organization (GPO) on healthcare-product supply chain we build a supply chain model consisting of one manufacturer one competitive source one group purchasing organization(GPO) and n healthcare providers for a single product Providers may purchase from any source for minimizing their total costs Through considering different providersrsquo demands power schemes and revenue sharing between GPO and providers we analyze the performance of supply chain and its members under various situations Numerical examples show some interesting findings (1) When GPO dominates the supply chain GPO can obtain more profits (2)When manufacturer dominates the supply chain and GPO shares its revenue with providers there exists specific revenue sharing rates which increase GPOrsquos profits and reduce providersrsquo cost (3) Manufacturer always can achieve a same optimal profit by changing quantity discount rate when GPO dominates supply chain and shares its revenue with providers

N108

Time 1055-1110

Exploring the Implementation of Green Supply Chain with Cluster and Discriminant Analysis Case Study Furniture Industry at Central Java Semarang Dr Aries Susanty Diana Puspitasari Diponegoro Univeristy Indonesia This study has two objectives First this study aims to categorize the level of the implementation of Green Supply Chain Management (GSCM) practice among Small and Medium Enterprises (SMEs) of wooden furniture in several clusters Second this study aims to find the linear combination of five dimensions of GSCM practices that will discriminate best between prior defined clusters The study used primary data through questionnaires enclosed with the Likert scale 1-5 at 162 SMEs of wooden furniture located in Surakarta Jepara Semarang and Kudus The raw data level of implementation of five dimensions of GSCM practice is analyzed using K-Means cluster and discriminant analysis with the aid of the Statistical Package for the Social Sciences (SPSS) software The result of K-Means cluster analysis indicated that a two-cluster is the optimal number of a group for separating the data of the level of implementation of GSSM practice among SMEs of wooden furniture and the two clusters founded in this research are labeled as early adopter and laggards Then the result of the discriminant analysis indicated that as high as 9877 of the SMEs of wooden furniture was classified correctly The result of discriminant analysis also revealed the discriminant function as Z= (0238IEM) + (0602GPU) + (1161CCO) + (1128ECO) + (1126IRE) - 13124 and the threshold for evaluating a discriminant score of

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Conferences gt 2018 5th International Confer

3 Author(s) Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa View All Authors

Demand management practices in the manufacturing industry An empiricalSouth African perspective

38FullText Views

Abstract

Document Sections

I Introduction

II Literature Review

III Methodology

IV Resultsampinterpretations

V Conclusion

Authors

Figures

References

Keywords

Metrics

Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

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Keywords

Metrics

AbstractThis paper aims to identify and explore Demand Management (DM) practices used within the SouthAfrican Manufacturing industry The study followed a qualitative design approach in order to identifythe relationship between DM methods such as forecasting and the best practices used by therespondents Therefore a purposive sampling technique was used whereby a questionnaire was sentout via email to 15 manufacturing companies before meeting them for a face to face interviewconducted in two weeks Respondents varied from different industries such as automotive wood andpaper chemical food and beverage etc The results demonstrated that although the respondents areaware of the best practices for a good DM system they generally do not apply them entirely becauseof factors like fear of implementing change and failure to quickly adapt themselves to the change thatwould come with those best practices In addition the results also revealed that forecasting is themost used DM method by the respondents and a simple forecasting average is used to predict futuredemand Depending on the company the forecast is done either by a team or by functional areas

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844216

DOI 101109IEA20188387071

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionThe importance of satisfying the customer by meeting the demand has long been recognized bymanagers as crucial to making the organization successful However numerous problems occurand many factors need to be considered in order to give the customer what they want how theywant it as well as where and when they want it Failure to understand crucial characteristics ofdemand will result in supply shortage or excessive stock that will place serious financial burdenson the organization subsequently leading to a loss of market share and customers

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Eric Bakama MikobiDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

Eveth Nwobodo-AnyadiegwuDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

Charles MbohwaDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

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An integrative framework of knowledgemanagement enabled supply chainmanagement2008 IEEE International Conference onIndustrial Engineering and EngineeringManagementPublished 2008

An empirical approach for the application ofknowledge management on downstream supplychain management of Indian public sector oilcompanies2017 Fourteenth International Conference onWireless and Optical Communications Networks(WOCN)Published 2017

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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|

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Conferences gt 2018 5th International Confer

2 Author(s) Shikha Singh Subhas Chandra Misra View All Authors

Core challenges to cloud PLM adoption in large manufacturing firms

60FullText Views

Abstract

Document Sections

I Introduction

II Literature Review

III ResearchMethodology

IV Case Study and DataAnalysis

V Result and Discussion

Show Full Outline

Authors

Figures

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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

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AbstractAs the globalization is at its peak and innovative products are at high demand firms are forced to workin a collaborative manner The product data must be lively available to all the collaborated partnersAlthough on-premise Product Lifecycle Management (PLM) systems are offering the collaborationsand product data management throughout the products lifecycle the Internet of Things (IoT) eraoffers more connectivity at a lesser cost Though most large manufacturing firms have established theon-premise PLM systems yet face some difficulties related to maintenance and upgradations of in-house information technology (IT) infrastructure Hence cloud PLM is under consideration foradoption among many large manufacturing firms However there are several challenges associatedwith cloud PLM adoption decision This work intends to find out the challenges which largemanufacturing firms face while deciding to adopt cloud PLM The empirical investigations have beenattempted to find out the relations among the challenges faced and to provide the guideline on how tofind out the core challenges which needs to be attended before adopting cloud PLM in largemanufacturing firms

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844276

DOI 101109IEA20188387085

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionProduct lifecycle management (PLM) systems are the IT tools [1] which support the PLMbusiness concept [2] to manage the whole lifecycle of a product in firms PLM systems help totransform the organizations into digitized era and make them technologically robust by giving a3D product designing and virtual manufacturing opportunity [3] PLM systems help in substantialcost savings by reducing the real manufacturing efforts Product-related knowledge must need tobe preserved so that it can help in the other phases of product lifecycle such as repair overhaulreuse recycle and or disposal of the product Increasing number of enterprise informationsystems stakeholders and product related information demand the need for a managementapproach which makes the managers capable of managing all the dispersed product informationat one common repository for reuse

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Shikha SinghDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India

Subhas Chandra MisraDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India

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The automation of the technological processesin the Manufacturing Internet of Things contextfor the pharmaceutical enterprises2018 IEEE 9th International Conference onDependable Systems Services andTechnologies (DESSERT)Published 2018

Integration of ERP and Internet of Things inIntelligent Enterprise Management2018 1st International Cognitive CitiesConference (IC3)Published 2018

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raquo Contact amp Support

A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|

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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance

During this time saved searches will not be editable We apologize for any inconvenience

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Conferences gt 2018 5th International Confer

3 Author(s) Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong View All Authors

Innovative product development of fabric glass interlayer

39FullText Views

Abstract

Document Sections

I Introduction

II Methodology

III Conclusion

Authors

Figures

References

Keywords

MetricsPublished in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

References

Keywords

Metrics

AbstractA glass manufacturer in Thailand developed the laminated fabric glass as innovative product in 2013but sales had declined in 2016 Customers survey shows that the satisfaction level decreased due tolong production lead time high-selling price and long installation time This paper aims to develop anew innovative fabric glass interlayer product by adopting 5D innovation development process 5Dconsists of Discover Define Design Develop and Deploy Firstly discover phase adopted Five ForcesAnalysis Customer Behavior Analysis and Customers Satisfaction Survey for specifying marketposition and seeking the hidden customers expectations Define is to summarize the project charteras initiation step in the project management and to scope resources and timeframe Design weadopted the integration of QFD Kano Model and Product Quality Index for prioritizing and translatingcustomer expectations to product specifications Then all concepts were concluded by Pugh MatrixWeighted Sum Score and confirmed the selected concept by financial feasibility study Developprocess is to prototyping to verify the production before scale up Finally generated the riskassessment plan by FMEA and contributed the business plan to ensure the effectivecommercialization in Deploy The developed fabric glass interlayer shows higher customer satisfactionlevel by shorten production lead time from 14 days to 8 days (4285) lower price from 790 bahtft to 485 bahtft (3861) and shorten installation time from 180 minutes to 45 minutes (75)

2

2

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844226

DOI 101109IEA20188387141

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionThe case company is one of the glass manufacturers in Thailand who process the fundamentalfunctional building glass tempered and laminated glass for the architectural construction andinterior decoration The companys vision was stated to be the leader of glass innovation within2022 To be the leader of the glass innovation case company should focus on the continuousinnovative product development The mainly innovative product that had been sold for manyyears was the fabric glass as 52 52 and 47 in 2015 2016 and 2017 respectively

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Ploynaplus ThanasirithamDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

Natcha ThawesaengskulthaiDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

Prasert AkkharaprathomphongDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

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Study of a Customer Satisfaction-OrientedModel for Outsourcing Software QualityManagement Using Quality FunctionDeployment (QFD)2008 4th International Conference on WirelessCommunications Networking and MobileComputingPublished 2008

Fuzzy Eco-Design Product Development byUsing Quality Function Deployment2005 4th International Symposium onEnvironmentally Conscious Design and InverseManufacturingPublished 2005

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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|

My Settings Get HelpBrowse Subscribe

Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance

During this time saved searches will not be editable We apologize for any inconvenience

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IEEEorg IEEE Xplore Digital Library| IEEE-SA| IEEE Spectrum| More Sites| Cart (0) Create Account| Personal Sign In|

All Enter keywords or phrases (Note Searches metadata only by default A search for smart grid = smart AND grid)

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Conferences gt 2018 5th International Confer

2 Author(s) Jingying Huang Liya Wang View All Authors

Makespan minimization on single batch-processing machine consideringpreventive maintenance

37FullText Views

Abstract

Document Sections

I Introduction

II Problem Description

III Batching Rule

IV Improved Heuristics

V ComputationalResults andDiscussions

Show Full Outline

Authors

Figures

References

Keywords

Metrics

Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

References

Keywords

Metrics

AbstractThis paper considers the problem of minimizing makespan on a single batch-processing machineconsidering preventive maintenance A mathematical model for integrating flexible preventivemaintenance into the batch-processing machine scheduling is proposed A two-stage method isproposed to solve the problem A batching rule considering maintenance is proposed to group jobsinto batches firstly And then we improve existing heuristics to schedule production and maintenanceComputational results indicate that the two-stage method based on proposed batching rule andimproved heuristics is effective

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844275

DOI 101109IEA20188387113

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionBPM (Batch processing machine) problem has attracted many researchers in recent years BPMis able to process a group of jobs as long as the number of jobs in the batch is less than or equalto the capacity of the machine To minimize total flow time Rui Xu [1] proposed an ant colonyalgorithm combined with the candidate list NR Parsa [2] proposed an algorithm using a hybridmax-min ant system AH Kashan [3] proposed a batch based hybrid genetic algorithm thatgenerates random batches of jobs and ensures feasibility To minimize total earliness andtardiness of the jobs NR Parsa [4] proposed a dynamic programming algorithm and severalheuristics BPM problem is practically applied in many manufacturing industries One of them issemiconductor wafer manufacturing industry BPM problem is applied in the furnace area in themanufacturing process of semiconductor wafers The machine is only shared by jobs requiringthe particular processing operation [5] That is in reality only semiconductor wafers with thesame kind of process can be grouped into a batch However the papers above did not take thisconstraint into consideration They assumed the jobs with different processing time can begrouped into the same batches Also the above papers did not consider about maintenancewhen grouping and scheduling jobs

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Jingying HuangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina

Liya WangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina

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ACO-based Parallel Machine SchedulingConsidering Both Setup Time and Run-basedPreventive Maintenance with ReliabilityConstraints2018 IEEE International Conference onIndustrial Engineering and EngineeringManagement (IEEM)Published 2018

MSPT2 Heuristic and Dynamic ProgrammingMethod for the Parallel Machine SchedulingProblem with scheduled PreventiveMaintenance2006 International Conference on ServiceSystems and Service ManagementPublished 2006

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IEEE Account

raquo Change UsernamePassword

raquo Update Address

Purchase Details

raquo Payment Options

raquo Order History

raquo View Purchased Documents

Profile Information

raquo Communications Preferences

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raquo Technical Interests

Need Help

raquo US amp Canada +1 800 678 4333

raquo Worldwide +1 732 981 0060

raquo Contact amp Support

A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

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Lenovo
Highlight

KEYNOTE AND INVITE SPEAKERS

Keynote Speech

Keynote Speech ndashI

Abstract of speech

Many products are designed to last longer than

the typical lifespan of human being Its thus a

challenge to validate the design life through

reliability tests even when testing is conducted

under much harsher environment Not only that

test duration is usually constrained but the

samples available for testing may also be costly

andor limited in quantity Statistically optimal

plans will allow for efficient use of testing

resources and yet derive the most information

from the test In this presentation we shall

discuss ideas related to designing test plans for

both constant stress and step stress ALT leading

to the statistical optimal plan for sequential ALT

While that of constant ALT is basically a Bayesian

approach that for the step stress ALT requires

solving a dynamic program using backward

induction For the latter optimal solutions are

only available for exponential lifetime and there

are rooms for further research

Loon Ching TANG

BIO Dr Loon Ching TANG is currently the Director of

Temasek Defence Systems Institute and Professor of

Department of Industrial Systems Engineering and

Management at the National University of Singapore

He obtained his PhD degree from Cornell University in

the field of Operations Research in 1992 and has

published extensively in areas related to industrial

engineering and operations research He has been

presented with a number of best paper awards

including the IIE Transactions 2010 Best Application

Paper Award and 2012 RA EvansPK McElroy Award

for the best paper at Annual RAMS Prof Tang is the

main author of the award-winning book Six Sigma

Advanced Tools for Black Belts and Master Black Belts

Besides being active in the forefront of academic

research in the last 25 years Prof Tang has served as

consultant for many organizations such as the

Ministry of Home Affair Singapore Power Republic of

Singapore Air Force Seagate HP Phillips etc on a

wide range of projects aiming at improving

organizational and operations efficiency especially

through better management of engineering assets He

is currently a fellow of ISEAM the Editor of Quality amp

Reliability Engineering International and an editorial

review board member of the flagship journal of ASQ

Journal of Quality Technology (since 2006) He has

served as the Region VP (Asia) of IIE (2013-16) and a

member of the advisory board of the Singapore

Innovation and Productivity Institute

Apr 26(Thu) 2018 1305-1350

Auditorium Room

ldquoPlanning Sequential Accelerated Life Testingrdquo

Prof Loon Ching TANG

National University of Singapore Singapore

Lenovo
Highlight

Keynote Speech ndashII

George ZHANG

BIO Professor Zhe George Zhang is a professor of

Management Science in the Department of Decision

Sciences at Western Washington University and a

professor of Operations Management in Beedie

School of Business at Simon Fraser University He is

also visiting professor of Sauder School of Business

at the University of British Columbia Dr Zhang

received his BS in Computer Science and MA in

Economics from Nankai University China his MBA

from the Schulich School of Business at York

University and his PhD in Operations research from

the University of Waterloo Professor Zhang has

published many papers in prestigious journals such

as Management Science Operations Research

Manufacturing amp Service Operations Management

Production and Operations Management IIE

Transactions IEEE Transactions Queueing Systems

Journal of Applied Probability Co-authored with

Professor Tian in 2006 he published the research

monograph Vacation Queueing Models - Theory

and Applications the first book on this particular

topic (now highly cited) Professor Zhangs research

interests include queueing theory and applications

and stochastic models for manufacturing and

service systems The main theme of his research is

to bridge the gap between theory and application

obtaining unobservable and sometimes

counter-intuitive but significantpractical

management insights via modeling and quantitative

analysis Currently he is particularly interested in

the quantitative and economic analysis of the

congestion problems in urbanmass transportation

networks healthmedical care systems and public

service systems with both customer service quality

and security concerns As an expert in data analysis

and quantitative modeling he has consulted in

industry and has given research seminars and short

lectures at leading universities around the world He

was invited to present plenary or keynote talks in

several international conferences Professor Zhang

is the one of Editor-in-Chiefs for new journal

Queueing Models and Service Management aan

associate editor of INFOR (Information Systems and

Operations Research) and is on the editorial board

of several international journals in Operations

Research and Management Science

Apr 26(Thu) 2018 1350-1435

Auditorium Room

ldquordquo

Prof George ZHANG

Western Washington University USA

Lenovo
Highlight

Keynote Speech ndashIII

Abstract of speech

The purpose of this paper is to investigate the

generalized age maintenance policies for a system

with random working times When the system fails

it is subject to one of two types of failures with

age-dependent probability type I failure can be

removed by minimal repair and type II failure must

be rectified by replacementA First the system is

preventively replaced before type II failure at time T

or at the completion of Nth working projects

whichever occurs first Two modified models where

the system is preventively replaced before type II

failure at time T or at the completion of Nth

working projects whichever occurs last and it is

preventively replaced at the first completion of the

working project over time T or at the completion of

Nth working projects whichever occurs first are

considered By introducing costs due to repairs

maintenance and replacement the expected cost

per unit time is derived as a criterion of optimality

and the optimal policy that minimizes that cost is

discussed analytically

Shey-Huei SHEU

BIO Professor Shey-Huei Sheu is a Chair Professor

of Department of Statistics and Informatics Science

at the Providence University He is an Honorary

Chair Professor of the Department of Industrial

Management at the National Taiwan University of

Science and Technology He received his MS

degree (1979) in applied mathematics from the

National Tsing Hua University and his PhD degree

(1987) in statistics from the University of Kentucky

He has published in journals such as Naval Research

Logistics Journal of Applied Probability RAIRO

Operations Research Microelectronics and

Reliability Reliability Engineering and System Safety

International Journal of Systems Science Quality

and Reliability Engineering International

International Journal of Reliability Quality and

Safety Engineering Journal of the Operational

Research Society European Journal of the

Operational Research Computers and Operation

Research Computers and Industrial Engineering

Quality Engineering Asia-Pacific Journal of the

Operational Research Communications in

Statistics-Theory and Methods Computers and

Mathematics with Applications Simulation

Modeling Practice and Theory Communications in

Statistics-Simulation and Computation Journal of

Statistical Computation and Simulation

International Journal of Production Economics

Quality Technology and Quantitative Management

The International Journal of Advanced

Manufacturing Technology Expert Systems

International Journal of Computer Mathematics

Journal of Applied Statistics Production Planning

and Control International Journal of Production

Research Applied Mathematical Modelling IEEE

Transactions on Reliability and Annals of

Operations Research

Apr 26(Thu) 2018 1435-1520

Auditorium Room

ldquoThe Generalized Age Maintenance Policies with

Random Working Timesrdquo

Prof Shey-Huei SHEU

Providence University Taiwan

Lenovo
Highlight

Keynote Speech ndashIV

Abstract of speech

IEEE 80211ah a specification belonging to 80211

wireless local area network (WLAN) protocol family

has been recently released to support the

long-range low-power and low-rate wireless

communication among smart devices used in

Internet of Thing (IoT) systems However security

requirements of the energy-constrained devices

have plenty of issues different from the traditional

wireless devices It requires that the lightweight

security protocols have to support low-power and

low-latency as well as the long-lasting features of

quantities of IoT devices The recently released IEEE

statndard IEEE 80211ai has specified a Fast Initial

Link Setup (FILS) which is a brand-new approach

aiming at establishing fast stable and secure links

among smart devices IEEE 80211ai could be applied

to other wireless systems such as the wireless

system of IEEE 80211ah with security

enhancements In this talk I would address the

secureity issues of IEEE 80211ai and IEEE 80211ah

with an new proposal to enhance the

authentication process in the link setup procedure

specified by IEEE 80211ai

Maode MA

BIO Dr Maode Ma is a Fellow of IET He received his

PhD degree in computer science from Hong Kong

University of Science and Technology in 1999 Now

Dr Ma is an Associate Professor in the School of

Electrical and Electronic Engineering at Nanyang

Technological University in Singapore He has

extensive research interests including network

security and wireless networking Dr Ma has about

350 international academic publications including

over 160 journal papers and about 190 conference

papers He has delivered over 50 keynote speeches

at various international conferences He has served

as various chairs for over 100 international

conferences He currently serves as the

Editor-in-Chief of International Journal of Computer

and Communication Engineering and International

Journal of Electronic Transport He also serves as a

Senior Editor or an Associate Editor for other 4

international academic journals Dr Ma is a Senior

Member of IEEE Communication Society and IEEE

Education Society and a Member of ACM He is the

Chair of the IEEE Education Society Singapore

Chapter and the Chair of the ACM Singapore

Chapter He has served as an IEEE Communication

Society Distinguished Lecturer from 2013-2016

Apr 26(Thu) 2018 1530-1615

Auditorium Room

ldquoEfficient and Secure Authentication Schemes for

IEEE 80211ah Networks rdquo

Prof Maode MA

Nanyang Technological University Singapore

Lenovo
Highlight

Keynote Speech ndashV

Abstract of speech

Stochastic aircraft routing (SAR) plays a critical role

in defining the routing plans of airlines which

include assigning the aircraft to flight legs and

determining the time and location of maintenance

to the aircraft Based on the routing plan specified

by the airlines the maintenance providers should

schedule their workforce to perform maintenance

operations by solving the maintenance staffing

problem (MSP) MSP helps maintenance providers

to build their staffing plans which include the

assignment of manpower to each aircraft so that

aircraft receive the required maintenance

operations as planned Practically for airlines the

routing plan will be interrupted (eg flight delays) if

an aircraft cannot be released from the

maintenance station punctually Similarly for

maintenance providers if an aircraft misses the

scheduled appointment at the maintenance station

this will also cause a huge interruption to their

staffing plan Therefore there is an interrelationship

between SAR and MSP In the literature the focus

of each problem has been traditionally considered

separately with only limited consideration of their

interrelationship In this paper we study SAR along

with MSP with the objective of investigating the

interrelationship between SAR and MSP For this

purpose we propose a coordinated configuration

of SAR and MSP that is formulated as a

leader-follower Stackelbery game in which SAR

acts as a leader and MSP acts as a follower This

game is enacted through a bi-level optimization

model which is solved by a bi-level nested ant

colony optimization (ACO) algorithm A case study

of a major airline and maintenance provider located

in the Middle East is presented to demonstrate the

feasibility and potential of the proposed model The

results demonstrate significant saving in the costs

of both companies

Felix TS CHAN

BIO Professor Felix T S Chan received his BSc

Degree in Mechanical Engineering from Brighton

Polytechnic (now University) UK and obtained his

MSc and PhD in Manufacturing Engineering from

the Imperial College of Science and Technology

University of London UK Professor Chan is now

working at the Department of Industrial and

Systems Engineering The Hong Kong Polytechnic

University and also serving as Associate Dean

(Research) at the Faculty of Engineering His current

research interests are Logistics and Supply Chain

Management Operations Management

Distribution Coordination Systems Modelling and

Simulation AI Optimisation To date he has

published 16 book chapters over 300 refereed

international journal papers and 250 peer reviewed

international conference papers h index= 30 under

the Web of Science He is a chartered member of

the Chartered Institute of Logistics and Transport in

Hong Kong According to a study lately published in

the International Journal of Production Research

(httpdxdoiorg1010800020754320151037935)

the study measured the research contributions over

a 26-year time frame (1985-2010) of academic

institutions and individual authors to the field of

Apr 26(Thu) 2018 1615-1700

Auditorium Room

ldquoInvestigating the Interrelationship between

Stochastic Aircraft Routing of Airlines and

Maintenance Staffing of Maintenance Providersrdquo

Prof Felix TS CHAN

The Hong Kong Polytechnic University Hong Kong

Lenovo
Highlight

Operations Management (OM) based on published

articles in 11 top-rated and well-known academic OM

journals Professor Chan was among the top 50

prolific authors list who have made the greatest

overall contribution to the field as measured by the

number of distributed and shared articles published

in the 11 designated journals Also Professor Chan

was Ranked No 3 in The top 100 authors as the

most productive researchers in the field of

Operations Management over the past 10 years

(2001-2010)

COMMITTEE

ICIEA 2018 Organizing Committee

International Advisory Committee

Zhe George Zhang Western Washington University USA

Conference Chairs

Felix T S Chan The Hong Kong Polytechnic University Hong Kong

Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan

Local Organizing Chair

TANG Loon Ching National University of Singapore Singapore

Organizing and Program Committees

Seoung Bum Kim School of Industrial Mangement Engineering Korea University

Usik Lee Inha University Korea

Maode Ma Nanyang Technological University Singapore

Finance Chair

Minghan Xi Dalian Maritime University China

International Technical Committees

Cheng-Feng HuNational Chiayi University Taiwan

Dong-Yuh YangNational Taipei University of Business Taiwan

Mario HirzGraz University of Technology Austria

Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt

Po-Hsiang Liu College of Business and Management in St Johns University USA

Taesu Cheong Korea University Korea

Tien-Lun Liu Chung Yuan Christian University Taiwan

Wei CaiWuhan University of Technology China

Jinguo Huang Huazhong University of Science and Technology China

Yu-Chung Tsao National Taiwan University of Science Technology Taiwan

Yip Mum WaiTunku Abdul Rahman University College Malaysia

Pule Kholopane University of Johannesburg South Africa

Bonivasius Prasetya Ichtiarto mercu buana university Indonesia

Elita Amrina Andalas University Indonesia

Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan

Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong

Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia

Lenovo
Highlight
Lenovo
Highlight
Lenovo
Highlight
Lenovo
Highlight

Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India

Byung Do Chung Yonsei University Korea

M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia

Sandeep Singhal National Institute of Technology India

J W Wang The University of Hong Kong Hong Kong

Ching-Chang Kuo National Taichung University of Science and Technology Taiwan

Kuo-Hsiung Wang Providence University Taiwan

ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia

Sangbok Lee Hansung University Korea

Adrian E Coronado Mondragon Royal Holloway University of London UK

Chin-I Lee Ling Tung University Taiwan

S H ChoiUniversity of Hong Kong Hong Kong

Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan

Wei Cai Wuhan University of Technology China

Hashibah Hamid Universiti Utara Malaysia Malaysia

TMA Ari Samadhi Bandung Institute of Technology Indonesia

Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia

Pi-Chun Hsu Chaoyang University of Technology Taiwan

Mu-Chen Chen National Chiao Tung University Taiwan

Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan

Tsu-Wei Yu Chaoyang University of Technology Taiwan

Lingyun Wei Beijing University of Posts and Telecommunications China

Hamdi Bashir University of sharjahUnited Arab Emirates

LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand

LIU Hai-peng Kunming University of Science and Technology China

Elfira Febriani Trisakti University Indonesia

Yu-Hsiang Hsiao National Taipei University Taiwan

Chien-Chih Wang Ming Chi University of Technology Taiwan

Atichart Harncharnchai Chiang Mai University Thailand

Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)

Switzerland

Bambang Suhardi Universitas Sebelas Maret Indonesia

Ssu Han Chen Ming Chi University of Technology Taiwan

Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia

Augustina Asih Rumanti Bandung Institute of Technology Indonesia

Maheshwar Dwivedy BML Munjal University India

Zhichuan Guan China university of petroleum (East China) China

Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia

Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia

Yenming J Chen National Kaohsiung University of Science and Technology Taiwan

Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia

TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand

Li Li Nanjing University of Science and Technology China

SERTIFIKAT

Page 4: Nilai Maksimal Prosiding - eprints.undip.ac.ideprints.undip.ac.id/70482/1/...of_GSCM_practice_peer_review_lengkap.pdf · discriminant function as Z= (0.238-IeM) + (0.602-GPU) + (1.161-CCO)

References (36)

Funding sponsor Funding number AcronymFunding sponsor Funding number Acronym

Ministry of Higher Education and Scientific Research

Funding textACKNOWLEDGMENT The authors wish to acknowledge to the Ministry of Research and Higher Education for givingthe authors the opportunity to conduct this research through ldquoPenelitian Unggulan Perguruan Tinggi Grandrdquo

Linton JD Klassen R Jayaraman V

(2007) Journal of Operations Management 25 (6) pp 1075-1082 doi 101016jjom200701012

Zhu Q Sarkis J Lai K-H

(2008) International Journal of Production Economics 111 (2) pp 261-273 doi 101016jijpe200611029

Yang C-S Lu C-S Haider JJ Marlow PB

(2013) Transportation Research Part E Logistics and Transportation Review 55 pp 55-73

doi 101016jtre201303005

Srivastava SK

(2007) International Journal of Management Reviews 9 (1) pp 53-80 doi 101111j1468-2370200700202x

Zhu Q Sarkis J

(2004) Journal of Operations Management 22 (3) pp 265-289 doi 101016jjom200401005

ISBN 978-153865747-8Source Type Conference ProceedingOriginal language English

DOI 101109IEA20188387157Document Type Conference PaperPublisher Institute of Electrical and Electronics Engineers Inc

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Sustainable supply chains An introduction

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Confirmation of a measurement model for green supply chain management practicesimplementation

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The effect of green supply chain management on green performance and firmcompetitiveness in the context of container shipping in Taiwan

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Green supply-chain management A state-of-the-art literature review

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Relationships between operational practices and performance among early adopters ofgreen supply chain management practices in Chinese manufacturing enterprises

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Zhu Q Sarkis J Geng Y

(2005) International Journal of Operations and Production Management 25 (5) pp 449-468

doi 10110801443570510593148

Zhu Q Sarkis J Lai K-H

(2013) Journal of Purchasing and Supply Management 19 (2) pp 106-117

doi 101016jpursup201212001

Azevedo SG Carvalho H Cruz Machado V

(2011) Transportation Research Part E Logistics and Transportation Review 47 (6) pp 850-871

doi 101016jtre201105017

Vachon S Klassen RD

(2006) International Journal of Operations and Production Management 26 (7) pp 795-821

doi 10110801443570610672248

Vachon S Klassen RD

(2008) International Journal of Production Economics 111 (2) pp 299-315 doi 101016jijpe200611030

Green Jr KW Zelbst PJ Bhadauria VS Meacham J

(2012) Industrial Management and Data Systems 112 (2) pp 186-205 doi 10110802635571211204254

Gimenez C Sierra V

(2013) Journal of Business Ethics 116 (1) pp 189-203 doi 101007s10551-012-1458-4

6

Green supply chain management in China Pressures practices and performance

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Institutional-based antecedents and performance outcomes of internal and externalgreen supply chain management practices

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8

The influence of green practices on supply chain performance A case study approach

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Extending green practices across the supply chain The impact of upstream anddownstream integration

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Environmental management and manufacturing performance The role ofcollaboration in the supply chain

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Do environmental collaboration and monitoring enhance organizationalperformance

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Sustainable Supply Chains Governance Mechanisms to Greening Suppliers

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(2004) Illegal Logging and Global Wood Markets The Competitive Impacts on the US Wood ProductsIndustry American Forest amp Paper Association

Susanty A Santoso H Sari DP Parasayu SEffect of internal green supply chain practices on environmental performance of SMEs of wooden furnitureindustry(2017) Proc World Congress on Engineering 2017 2 July 5-7 London UK

Hamel G Prahalad CK

(1989) Harvard Business Review 67 (3) pp 63-76

Carter CR Ellram LMReverse logistics A review of the literature and framework for future investigation(1998) J Bus Logist 19 (1) pp 85-102

Min H Galle WP

(2001) International Journal of Operations and Production Management 21 (9) pp 1222-1238

doi 101108EUM0000000005923

Zsidisin GA Siferd SP

(2001) European Journal of Purchasing and Supply Management 7 (1) pp 61-73 doi 101016S0969-7012(00)00007-1

Green K Morton B New S

(1998) Supply Chain Management 3 (2) pp 89-95 doi 10110813598549810215405

Schlegelmilch BB Bohlen GM Diamantopoulos AThe link between green purchasing decisions and measures of environmental consciousness(1996) Eur J Mark 30 (5) pp 35-55

ElTayeb TK Zailani S Jayaraman K

(2010) Journal of Manufacturing Technology Management 21 (2) pp 206-225 doi 10110817410381011014378

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To revitalize corporate performance we need a whole new model of strategy Strategicintent

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Green purchasing practices of US firms

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Environmental purchasing A framework for theory development

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Green purchasing and supply policies Do they improve companies environmentalperformance

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The examination on the drivers for green purchasing adoption among EMS 14001certified companies in Malaysia

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Zhu Q Geng Y Lai K-H

(2010) Journal of Environmental Management 91 (6) pp 1324-1331 doi 101016jjenvman201002013

Diabat A Khodaverdi R Olfat L

(2013) International Journal of Advanced Manufacturing Technology 68 (1-4) pp 949-961 doi 101007s00170-013-4955-4

Laosirihongthong T Adebanjo D Choon Tan K

(2013) Industrial Management amp Data Systems 113 (8) pp 1088-1109 doi 101108IMDS-04-2013-0164

Zhu Q Sarkis J

(2006) Journal of Cleaner Production 14 (5) pp 472-486 doi 101016jjclepro200501003

Zhu Q Sarkis J

(2007) International Journal of Production Research 45 (18-19) pp 4333-4355 doi 10108000207540701440345

Johansson GSuccess factors for integration of ecodesign in product development A review of state of the art(2002) Environ Manage Health 13 (1) pp 98-107

Eltayeb TK Zailani SGoing green through green supply chain initiatives towards environmental sustainability(2009) Oper Supply Chain Manag 2 (2) pp 93-110

Lee SM Kim ST Choi D

(2012) Industrial Management amp Data Systems 112 (8) pp 1148-1180 doi 10110802635571211264609

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Circular economy practices among Chinese manufacturers varying in environmental-oriented supply chain cooperation and the performance implications

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An exploration of green supply chain practices and performances in an automotiveindustry

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Green supply chain management practices and performance

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An inter-sectoral comparison of green supply chain management in China Driversand practices

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The moderating effects of institutional pressures on emergent green supply chainpractices and performance

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doi 10110802635579810241773

Zhu Q Geng Y Sarkis J Lai K-H

(2011) Transportation Research Part E Logistics and Transportation Review 47 (6) pp 808-821

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Angel Latha Mary S Sivagami AN Usha Rani M

(2015) ARPN Journal of Engineering and Applied Sciences 10 (9) pp 4009-4012

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(2009) Journal of Business Ethics 89 (3) pp 449-472 doi 101007s10551-008-0010-z

Holt D Ghobadian A

(2009) Journal of Manufacturing Technology Management 20 (7) pp 933-956 doi 10110817410380910984212

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The impact of external institutional drivers and internal strategy on environmentalperformance

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Purchasings involvement in environmental issues A multi-country perspective

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Evaluating green supply chain management among Chinese manufacturers from theecological modernization perspective

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Cluster validity measures dynamic clustering algorithms

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COVER DAFTAR ISI DAN BUKTI PESERTA DARI EMPAT

NEGARA

2018 The 5th International

Conference on Industrial

Engineering and Applications

Technical Program

April 26-28 2018

Shaw Foundation Alumni House National University of Singapore

Singapore

wwwicieaorg

Sponsored by Assisted by

ICIEA

2018

iii

2018 5th International Conference on Industrial Engineering and Applications

ICIEA 2018Table of Contents

Decision Analysis and Methods

Towards a Decision Support Approach for Selecting Physical Objects in Collaborative Supply Chain Processes

for Cyber Physical System-Transformation 1

Endric Hetterscheid Florian Schluumlter

Decision Support System for Inventory Control of Raw Materialmdash(Case Study PT Suwarni Agro Mandiri Plant

Pariaman Indonesia) 6

Difana Meilani Amelia Andiningtias Dicky Fatrias

Integration AHP and TOPSIS in Shipyard Location Selection 11

Ali Parkhan Aldrin Daeng Vatimbing Imam Djati Widodo

E-Business and E-Commerce

Inventory Management in E-commerce Supply Chain with Lateral Transshipment and Quick Response17

Xueqing Yu Lingyun Wei

Impact of Recommender Systems on Unplanned Purchase Behaviours in e-Commerce 21

Zhang Ying Chen Caixia Gu Wen Liu Xiaogang

Evaluating and Analyzing the Effectiveness of Online Advertising31

Huini Zhou Li Li Xiaoguang Gu

Micro Enterprise and e-Commerce Platform Literature Review and Agenda for Future Research 38

Clara Linggaputri Isti Surjandari Akhmad Hidayatno

Prefacehelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellipxiii

Conference Committeeshelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellipxiv

iv

Global Manufacturing and Engineering Economics

Optimal Manufacturing Outsourcing Decision Based on the Degree of Manufacturing Process

Standardization49

PingYu Chang Thi Thanh Nhan Phan

A Functional Design of a Cost Benefit Analysis Methodology for Transport Infrastructure Projects54

Tiep Nguyen Stephen Cook Indra Gunawan

Demand Management Practices in the Manufacturing Industry An Empirical South African Perspective 60

Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa

Healthcare Systems and Management

A Study on Healthcare-product Supply Chain with a Group Purchasing Organization67

Yin Han Lingyun Wei

A Study on Shortage of Hospital Beds in the Philippines Using System Dynamics 72

Josephine D German John Karlo P Mintildea Claudine Mae N Alfonso Kang-Hung Yang

Research on Health Monitoring Mechanism Based on Service Invocation79

Xuan Mei Xinming Tan

Business Process Reengineering for the Saline Management in Hospitals84

Sith Vilasdechanon Apichat Sopadang

The Acceptance Model of Hospital Information Systems in Thailand A Conceptual Framework Extending

TAM89

Paneepan Sombat Wornchanok Chaiyasoonthorn Singha Chaveesuk

Human Factors

An Experimental Study to Investigate Personality Traits on Pair Programming Efficiency in Extreme

Programming 95

Ramlall Poonam Chuttur M Yasser

Intention of Opening Up the Network of Personal Data 100

Mao-Sung Chen Tung-Kuan Liu Ming-Tien Tsai

The Differences of Individual Spatial Strategy on Their Solving Performance 105

Sakulporn Pornpanom Arisara Jiamsanguanwong

v

Understanding the Model of User Satisfaction in Using Cloud Storage Systems of Employees in Thailand A

Conceptual Framework 110

Kulapa Najantong Singha Chaveesuk Wornchanok Chaiyasoonthorn

Evaluating Variables That Affect Job Satisfaction of Bank Customer Contact Centre Agents in South Africa

116

Eveth Nwobodo-Anyadiegwu Charles Mbohwa Nokukhanya Ndlovu

Information Processing and Engineering

Real-time Localization and Navigation in an Indoor Environment Using Monocular Camera for Visually

Impaired 122

Kruthika Ramesh Nagananda S N Hariharan Ramasangu Rohini Deshpande

Experiment and Optimization of Magnetostrictive for Long Time Operation to Find Amplitude of Vibration

and Thermal Limit 129

Nuttakorn Pukseesang Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa

Some Methods for Measuring the Efficiency of Firms Utilizing Different Technologies 134

Soobin Choi Jaedong Kim Hanjun Lee

Core Challenges to Cloud PLM Adoption in Large Manufacturing Firms 141

Shikha Singh Subhas Chandra Misra

Intelligent Systems

Visual and Hearing Detection Capabilities to Discriminate whether a UAV Invade a Campus Airspace 146

S J Chang K W Li

Reflections on Facilitating the Development of ldquoInternet Plusrdquo Intelligent Manufacturing in China 150

Yong Tao Gang Zhao Qiushi Li Wen Zhao

A Study of Small Complicated Axisymmetric Parts Manufacturing in Industry 40 158

Chengcheng Zhu Shengdun Zhao Shuaipeng Li

Voltage Stability in DC Micro Grid by Controlling Two Battery Units with Hybrid Network Systems 163

Adhi Kusmantoro Ardyono Priyadi Mauridhi Hery Purnomo

Design and Implementation of IoT Based Smart Laboratory 169

M Poongothai P Muthu Subramanian A Rajeswari

vi

Analysis of Microwave Precipitation in the Topographic Barrier for the Lifting Condensation Level of Clouds

Formation 174

Supawat Kotchapradit Thanaset Thosdeekoraphat Samran Santalunai Chanchai Thongsopa

Improved Efficiency of Insect Pest Control System by SSPA 179

Phanupong Saeung Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa

Manufacturing Systems

Optimized Information Exchange Process between CAD and CAMmdashEnhanced Data Exchange in the Field of

Joining Technology from the Viewpoint of an Automotive Supplier 184

Alexander Kreis Mario Hirz Severin Stadler

Efficiency Improvement of Door Frame Manufacturing Process in Wood Product Manufacturing Industry

189

Lerdlekha Sriratana

The Structural Design of 3D Print Head and Execution of Printing via the Robotic Arm ABB IRB 140 194

Martin Pollaacutek Jozef Toumlroumlk Jozef Zajac Marek Kočiško Monika Teliškovaacute

Micro-fabrication Method of Au Micro-wire Structures on Substrate by Chemical Printing and Peeling Process

199

Potejana Potejanasak

Evaluation of Thermal Comfort Room Garment Workshop in Textile Vocational School 203

Anastasia Febiyani Bambang Suhardi Eko Pujiyanto

Modular Measuring System for the Force Distribution in Forming Processes 208

W Zorn L Hamm R Elsner W G Drossel

Gravity Filling System of Slurry for Rod Mill Sand with High Concentration and Research on Technical

Transformation in Jinchuan Mine 214

Li Li-Tao Yang Zhi-Qiang Gao Qian Wang Yong-Ding

Defect Reduction in the Board Front Door Trim Manufacturing Process 220

Punyisa Kuendee

Operations Research

Integrated Railway Timetable Scheduling Optimization Model and Rescheduling Recovery Optimization

Model A Systematic Literature Review 226

Erlangga Bayu Setyawan Dida Diah Damayanti

vii

A Comparative Analysis about the Balance Design of the Assembly Line by Branching amp Bound Method and

Lingo Method 231

Jia Shuyuan Huang Li Li Qin Gu Yonghu

The Optimal Routes and Modes Selection in Multimodal Transportation Networks Based on Improved A

Algorithm 236

Yan Liu Lingyun Wei

Industrial Cluster Optimization Based on Linear Programming 241

Roberto Montemanni Jafar Jamal

Multi-objective Joint Optimization of Batch-discrete Hybrid Flow Shop Scheduling Integrated with Machine

Maintenance 247

Yangyang Fei Huimin Ma

Investigating the Interrelationship between Stochastic Aircraft Routing of Airlines and Maintenance Staffing

of Maintenance Providers 254

Felix T S Chan Abdelrahman E E Eltoukhy

An Modified Relax-and-fix Algorithm for the Multi-level Lot-sizing Problem with Replaceablility 262

Mingyuan Wei Yifei Yuan Canrong Zhang

Height-Based Heuristics for Relocating Containers during Loading Operations 268

Yifei Yuan Canrong Zhang Ting Huang

A Record-to-Record Travel Algorithm for Multi-product and Multi-period Inventory Routing Problem 274

Fadillah Ramadhan Arif Imran Afrin Fauzya Rizana

Developing Tabu Search with Intensification and Diversification for the Seriation Problem 279

Pimprapai Thainiam

A Comparative Study of Mixed-Integer Linear Programming and Genetic Algorithms for Solving Binary

Problems 284

Punyisa Kuendee Udom Janjarassuk

Production Planning and Control

Concurrent Optimization of Job Shop Scheduling and Dynamic and Flexible Facility Layout Planning 289

Ryota Kamoshida

Makespan Minimization on Single Batch-processing Machine Considering Preventive Maintenance 294

Jingying Huang Liya Wang

viii

Customer Kansei-Oriented Restaurant Location Evaluation Using Kansei Engineering 299

Yu-Hsiang Hsiao Guan-Ting Chen

An Improvement Scheme for the Overall Line Effectiveness of a Production Line A Case Study 304

Jieli Li Yuhui Jia Binbin Xu Fei Chen Zhaojun Yang Xiaodong Li

An Adjustment Method for Material Inventory Control Decision Considered in Product Life Cycle 310

Jiun-Shiung Lin Jen-Huei Chang i-Yan Yang

Application of a Hidden Markov Model for Consistency Checking of Process Plant Facility Tag NumbersmdashA

Case Study 314

Jayaram Sivaramakrishnan Gareth Lee

Analyzing Circadian Rhythms for Breaktime Schedulling on Night Shift Work 321

Lovely Lady Ansor Firdaus

Resource-Reconfigured Flow Shop Scheduling and Lot-Sizing Problems in Semiconductor Test 326

Yige Zhang Yuangen Lu Cangrong Zhang

Process Flow Improvement in Production of Noise Filter Products through Lean Manufacturing Technique

333

Rattarak Moonpragarn Rungchat Chompu-inwai

Waste Reduction in the Shoe Sewing Factory 340

Pongpat Phetrungrueng

The Joint Replenishment Problem with Resource Restriction A Note 345

M I M Wahab Y Chen

Aggregate Planning in Canned Pineapple Production Lines 349

Datepard Charoenponyarrat Tuanjai Somboonwiwat

Applications of Data Mining

A Research Study on Unsupervised Machine Learning Algorithms for Early Fault Detection in Predictive

Maintenance 355

Nagdev Amruthnath Tarun Gupta

The Analysis of Matching Learners in Pair Programming Using K-Means 362

Naladtaporn Aottiwerch Urachart Kokaew

Machine Learning Based Approach for Demand Forecasting Anti-aircraft Missiles 367

Jaedong Kim Hanjun Lee Soobin Choi

ix

Quality Control and product lifecycle Management

Simultaneous Prediction Interval-Based Multiobjective Solution Approach for Multiple Quality Characteristics

Optimization 373

Abhinav Kumar Sharma Indrajit Mukherjee

The TQM Integration in Procurement Function Performance 378

Bisalyaputra K

Safety Analysis at Weaving Department of PT X Bogor Using Failure Mode and Effect Analysis (FMEA) and

Fault Tree Analysis (FTA) 382

Prima Fithri Nidi Annisa Riva Lusi Susanti Berry Yuliandra

Success Determinants to Product Lifecycle Management (PLM) Performance 386

Shikha Singh Subhas Chandra Misra

Company Performance Measurement for Automobile Companies a Composite Indicator from an

Environmental Perspective 391

Qinqin Zeng Wouter W A Beelaerts van Blokland Sicco C Santema Gabriel Lodewijks

Loss Time Reduction for Improve Overall Equipment Effectiveness (OEE) 396

Kamolchanok Krachangchan Natcha Thawesaengskulthai

Service Innovation and Management

Estimating Diffusion of Technology Using User Perceptual Values A Conceptual Model 401

Chaudry Bilal Ahmad Khan

Implementation of Innovative Digitalization Methods in Reverse Engineering 406

Monika Teliškovaacute Martin Pollaacutek Jozef Toumlroumlk Jakub Kaščaacutek Petr Baron Viktoria Mezencevova

Topological Evolution of Public Transportation Network A Case Study of Bangkok Rail Transit Network 410

Pijaya Na Bangxang Pisit Jarumaneeroj

A Design of Automated Parking System for Shopping Centers in Metro Manila 415

Ma Janice J Gumasing Charles Aaron V Atienza

Design of an Ergonomic Classroom Chair and Desk for Preschool Students of Selected Public Schools in

Cabuyao City Laguna 420

Ezrha C Godilano Mark Kevin G Galang Hazel Elaine O Ramilo Kristian Roi F Velayo

Design of an Ergonomic Wheelbarrow to Reduce Physiological Demands of General Users 424

Ezrha C Godilano Karl Vincent Casas Aubrey Justine Vargas

x

Ergonomic Intervention Addressing Musculoskeletal Disorders among Poultry Layer Workers 429

Ma Janice J Gumasing Rex Aurelius C Robielos

Wristwatch Development Based on Kansei Engineering 435

Imam Djati Widodo Heavy Zerry Novibrilliawan

Innovative Product Development of Fabric Glass Interlayer 440

Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong

Systems Modeling and Simulation

A Simulation Study of Multi-dimensional Clearing Function Considering Degradation for Semiconductor

Manufacturing 448

Jianqiu Huang Jingying Huang Liya Wang

Productivity Improvement of Tapioca Packing Process through Simulation Modeling Analysis 453

Nara Samattapapong

Modelling the Barriers for Mass Adoption of Electric Vehicles in Indian Automotive Sector An Interpretive

Structural Modeling (ISM) Approach 458

Surya Prakash Sameer Sharma Poudel Maheshwar Dwivedy Dilesh Raj Shrestha

Diagnostics of the Wire Coating Production Line by Implementation of Computation Methods 463

Ivan Kuric Miroslav Cisar Ivan Zajacko Tomas Gal

District Model with Two Types of Vehicles for Transporting Sugarcane 468

Rujirat Patcharamethanon Kanchala Sudtachat

Experiment of Induction Heating Application for Heating Multilayer Metallic Hollow Altered Cylinder 475

Jakkarin Srituvanont Thanaset Thosdeekoraphat Chanchai Thongsopa Samran Santalunai

A Framework for Analyzing and Developing Dashboard Templates for Small and Medium Enterprises 479

Wasinee Noonpakdee Thitiporn Khunkornsiri Acharaphun Phothichai Kriangsak Danaisawat

An Economic Order Quantity Model with Continous Quantity Discount and Probabilistic Demand 484

Ardian Rizaldi Ashaeurizky Dilianaputri Fitri A Anugrah Riska Ummaya Senator Nur Bahagia

Technology and Knowledge Management

Analyzing Interdependencies in a Project Portfolio Using Social Network Analysis Metrics 490

Helal Al Zaabi Hamdi Bashir

Sentiment Analysis of Twitter Corpus Related to Artificial Intelligence Assistants 495

Chae Won Park Dae Ryong Seo

xi

Artificial Neural Neural Network Approach for Technology Life Cyle Construction on Patent Data 499

Muhammad Hanif Ramadhan Vialli Ibrahim Malik Teddy Sjafrizal

A Systematic Literature Review on Knowledge Sharing for Innovation Empirical Study Approach 504

Augustina Asih Rumanti T M A Ari Samadhi Iwan Inrawan Wiratmadja Indryati Sunaryo

Belief Representation of Design Mental Model Based on Design Rationale 510

Chen Ying Jing Shikai Wang Yedong Cheng Dada

Study on Teaching Methods of Fundamental Electrical Courses in Engineering Education 515

Jianpei Chen Fei Gao Lingling Kong Lin Cui

Supply Chain Management

Supply Chain Model for Renewable Energy Resource from Biomass in Vietnam 520

Duy Nguyen Duc Narameth Nananukul

Exploring the Implementation of Green Supply Chain with Cluster and Discriminant AnalysismdashCase Study

Furniture Industry at Central Java Semarang 526

Aries Susanty Diana Puspita Sari

Systematic Literature Review and Improved Model for Mitigating Bullwhip Effect in Low Shelf Life Food

Supply Chain 531

Nia Novitasari Dida Diah Damayanti

Supply Chain Management Performance and Partial Least Square-Structural Equation Model An application

to Thai Tourism Supply Chain 536

Daraka Palang Korrakot Yaibuathet Tippayawong

An Economic Competitiveness Analysis of Power Generation Plants 543

Ndala Yves Mulongo Pule Kholopane

Supplier Selection Considering Sustainablitity Criteria by Using A Hybrid Evaluation Method in Printing

Business 548

Onsiree Mananawigapol Chorkaew Jaturanonda Tuanjai Somboonwiwat

Barriers and Drivers of eBIZ Adoption in the Fashion Supply Chain Preliminary Results 555

Bianca Bindi Virginia Fani Romeo Bandinelli Gilda Massa Gessica Ciaccio Arianna Brutti Piero De

Sabbata

A Simulation Analysis on Regional Logistics Development Based on System Dynamics The Case of Yunnan

Province 560

Yinyuan Si Wensheng Yang Huini Zhou

Lenovo
Highlight

xii

A Sustainability Assessment of Electricity Supply Systems 565

Ndala Yves Mulongo Pule Kholopane

Author Index

1040-1210 Friday 27 Apr

Session B-2 Supply Chain Management Venue Lemongrass Room

Chair

N066

Time 1040-1055

A study on Healthcare-product Supply Chain with a group purchasing organization Ms Yin Han Lingyun Wei Beijing University of posts and telecommunications Beijing China

In order to better understand the impact of group purchasing organization (GPO) on healthcare-product supply chain we build a supply chain model consisting of one manufacturer one competitive source one group purchasing organization(GPO) and n healthcare providers for a single product Providers may purchase from any source for minimizing their total costs Through considering different providersrsquo demands power schemes and revenue sharing between GPO and providers we analyze the performance of supply chain and its members under various situations Numerical examples show some interesting findings (1) When GPO dominates the supply chain GPO can obtain more profits (2)When manufacturer dominates the supply chain and GPO shares its revenue with providers there exists specific revenue sharing rates which increase GPOrsquos profits and reduce providersrsquo cost (3) Manufacturer always can achieve a same optimal profit by changing quantity discount rate when GPO dominates supply chain and shares its revenue with providers

N108

Time 1055-1110

Exploring the Implementation of Green Supply Chain with Cluster and Discriminant Analysis Case Study Furniture Industry at Central Java Semarang Dr Aries Susanty Diana Puspitasari Diponegoro Univeristy Indonesia This study has two objectives First this study aims to categorize the level of the implementation of Green Supply Chain Management (GSCM) practice among Small and Medium Enterprises (SMEs) of wooden furniture in several clusters Second this study aims to find the linear combination of five dimensions of GSCM practices that will discriminate best between prior defined clusters The study used primary data through questionnaires enclosed with the Likert scale 1-5 at 162 SMEs of wooden furniture located in Surakarta Jepara Semarang and Kudus The raw data level of implementation of five dimensions of GSCM practice is analyzed using K-Means cluster and discriminant analysis with the aid of the Statistical Package for the Social Sciences (SPSS) software The result of K-Means cluster analysis indicated that a two-cluster is the optimal number of a group for separating the data of the level of implementation of GSSM practice among SMEs of wooden furniture and the two clusters founded in this research are labeled as early adopter and laggards Then the result of the discriminant analysis indicated that as high as 9877 of the SMEs of wooden furniture was classified correctly The result of discriminant analysis also revealed the discriminant function as Z= (0238IEM) + (0602GPU) + (1161CCO) + (1128ECO) + (1126IRE) - 13124 and the threshold for evaluating a discriminant score of

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Conferences gt 2018 5th International Confer

3 Author(s) Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa View All Authors

Demand management practices in the manufacturing industry An empiricalSouth African perspective

38FullText Views

Abstract

Document Sections

I Introduction

II Literature Review

III Methodology

IV Resultsampinterpretations

V Conclusion

Authors

Figures

References

Keywords

Metrics

Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

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Keywords

Metrics

AbstractThis paper aims to identify and explore Demand Management (DM) practices used within the SouthAfrican Manufacturing industry The study followed a qualitative design approach in order to identifythe relationship between DM methods such as forecasting and the best practices used by therespondents Therefore a purposive sampling technique was used whereby a questionnaire was sentout via email to 15 manufacturing companies before meeting them for a face to face interviewconducted in two weeks Respondents varied from different industries such as automotive wood andpaper chemical food and beverage etc The results demonstrated that although the respondents areaware of the best practices for a good DM system they generally do not apply them entirely becauseof factors like fear of implementing change and failure to quickly adapt themselves to the change thatwould come with those best practices In addition the results also revealed that forecasting is themost used DM method by the respondents and a simple forecasting average is used to predict futuredemand Depending on the company the forecast is done either by a team or by functional areas

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844216

DOI 101109IEA20188387071

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionThe importance of satisfying the customer by meeting the demand has long been recognized bymanagers as crucial to making the organization successful However numerous problems occurand many factors need to be considered in order to give the customer what they want how theywant it as well as where and when they want it Failure to understand crucial characteristics ofdemand will result in supply shortage or excessive stock that will place serious financial burdenson the organization subsequently leading to a loss of market share and customers

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Eric Bakama MikobiDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

Eveth Nwobodo-AnyadiegwuDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

Charles MbohwaDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

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An integrative framework of knowledgemanagement enabled supply chainmanagement2008 IEEE International Conference onIndustrial Engineering and EngineeringManagementPublished 2008

An empirical approach for the application ofknowledge management on downstream supplychain management of Indian public sector oilcompanies2017 Fourteenth International Conference onWireless and Optical Communications Networks(WOCN)Published 2017

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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

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Conferences gt 2018 5th International Confer

2 Author(s) Shikha Singh Subhas Chandra Misra View All Authors

Core challenges to cloud PLM adoption in large manufacturing firms

60FullText Views

Abstract

Document Sections

I Introduction

II Literature Review

III ResearchMethodology

IV Case Study and DataAnalysis

V Result and Discussion

Show Full Outline

Authors

Figures

References

Keywords

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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

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Figures

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Keywords

Metrics

AbstractAs the globalization is at its peak and innovative products are at high demand firms are forced to workin a collaborative manner The product data must be lively available to all the collaborated partnersAlthough on-premise Product Lifecycle Management (PLM) systems are offering the collaborationsand product data management throughout the products lifecycle the Internet of Things (IoT) eraoffers more connectivity at a lesser cost Though most large manufacturing firms have established theon-premise PLM systems yet face some difficulties related to maintenance and upgradations of in-house information technology (IT) infrastructure Hence cloud PLM is under consideration foradoption among many large manufacturing firms However there are several challenges associatedwith cloud PLM adoption decision This work intends to find out the challenges which largemanufacturing firms face while deciding to adopt cloud PLM The empirical investigations have beenattempted to find out the relations among the challenges faced and to provide the guideline on how tofind out the core challenges which needs to be attended before adopting cloud PLM in largemanufacturing firms

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844276

DOI 101109IEA20188387085

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionProduct lifecycle management (PLM) systems are the IT tools [1] which support the PLMbusiness concept [2] to manage the whole lifecycle of a product in firms PLM systems help totransform the organizations into digitized era and make them technologically robust by giving a3D product designing and virtual manufacturing opportunity [3] PLM systems help in substantialcost savings by reducing the real manufacturing efforts Product-related knowledge must need tobe preserved so that it can help in the other phases of product lifecycle such as repair overhaulreuse recycle and or disposal of the product Increasing number of enterprise informationsystems stakeholders and product related information demand the need for a managementapproach which makes the managers capable of managing all the dispersed product informationat one common repository for reuse

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Shikha SinghDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India

Subhas Chandra MisraDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India

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The automation of the technological processesin the Manufacturing Internet of Things contextfor the pharmaceutical enterprises2018 IEEE 9th International Conference onDependable Systems Services andTechnologies (DESSERT)Published 2018

Integration of ERP and Internet of Things inIntelligent Enterprise Management2018 1st International Cognitive CitiesConference (IC3)Published 2018

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See the top organizations patenting intechnologies mentioned in this article

IEEE Account

raquo Change UsernamePassword

raquo Update Address

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Profile Information

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raquo US amp Canada +1 800 678 4333

raquo Worldwide +1 732 981 0060

raquo Contact amp Support

A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|

My Settings Get HelpBrowse Subscribe

Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance

During this time saved searches will not be editable We apologize for any inconvenience

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Conferences gt 2018 5th International Confer

3 Author(s) Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong View All Authors

Innovative product development of fabric glass interlayer

39FullText Views

Abstract

Document Sections

I Introduction

II Methodology

III Conclusion

Authors

Figures

References

Keywords

MetricsPublished in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

References

Keywords

Metrics

AbstractA glass manufacturer in Thailand developed the laminated fabric glass as innovative product in 2013but sales had declined in 2016 Customers survey shows that the satisfaction level decreased due tolong production lead time high-selling price and long installation time This paper aims to develop anew innovative fabric glass interlayer product by adopting 5D innovation development process 5Dconsists of Discover Define Design Develop and Deploy Firstly discover phase adopted Five ForcesAnalysis Customer Behavior Analysis and Customers Satisfaction Survey for specifying marketposition and seeking the hidden customers expectations Define is to summarize the project charteras initiation step in the project management and to scope resources and timeframe Design weadopted the integration of QFD Kano Model and Product Quality Index for prioritizing and translatingcustomer expectations to product specifications Then all concepts were concluded by Pugh MatrixWeighted Sum Score and confirmed the selected concept by financial feasibility study Developprocess is to prototyping to verify the production before scale up Finally generated the riskassessment plan by FMEA and contributed the business plan to ensure the effectivecommercialization in Deploy The developed fabric glass interlayer shows higher customer satisfactionlevel by shorten production lead time from 14 days to 8 days (4285) lower price from 790 bahtft to 485 bahtft (3861) and shorten installation time from 180 minutes to 45 minutes (75)

2

2

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844226

DOI 101109IEA20188387141

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionThe case company is one of the glass manufacturers in Thailand who process the fundamentalfunctional building glass tempered and laminated glass for the architectural construction andinterior decoration The companys vision was stated to be the leader of glass innovation within2022 To be the leader of the glass innovation case company should focus on the continuousinnovative product development The mainly innovative product that had been sold for manyyears was the fabric glass as 52 52 and 47 in 2015 2016 and 2017 respectively

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Ploynaplus ThanasirithamDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

Natcha ThawesaengskulthaiDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

Prasert AkkharaprathomphongDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

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Study of a Customer Satisfaction-OrientedModel for Outsourcing Software QualityManagement Using Quality FunctionDeployment (QFD)2008 4th International Conference on WirelessCommunications Networking and MobileComputingPublished 2008

Fuzzy Eco-Design Product Development byUsing Quality Function Deployment2005 4th International Symposium onEnvironmentally Conscious Design and InverseManufacturingPublished 2005

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Click to Expand

See the top organizations patenting intechnologies mentioned in this article

IEEE Account

raquo Change UsernamePassword

raquo Update Address

Purchase Details

raquo Payment Options

raquo Order History

raquo View Purchased Documents

Profile Information

raquo Communications Preferences

raquo Profession and Education

raquo Technical Interests

Need Help

raquo US amp Canada +1 800 678 4333

raquo Worldwide +1 732 981 0060

raquo Contact amp Support

A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|

My Settings Get HelpBrowse Subscribe

Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance

During this time saved searches will not be editable We apologize for any inconvenience

Lenovo
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Lenovo
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Institutional Sign In

IEEEorg IEEE Xplore Digital Library| IEEE-SA| IEEE Spectrum| More Sites| Cart (0) Create Account| Personal Sign In|

All Enter keywords or phrases (Note Searches metadata only by default A search for smart grid = smart AND grid)

Advanced Search | Other Search Options

Conferences gt 2018 5th International Confer

2 Author(s) Jingying Huang Liya Wang View All Authors

Makespan minimization on single batch-processing machine consideringpreventive maintenance

37FullText Views

Abstract

Document Sections

I Introduction

II Problem Description

III Batching Rule

IV Improved Heuristics

V ComputationalResults andDiscussions

Show Full Outline

Authors

Figures

References

Keywords

Metrics

Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

References

Keywords

Metrics

AbstractThis paper considers the problem of minimizing makespan on a single batch-processing machineconsidering preventive maintenance A mathematical model for integrating flexible preventivemaintenance into the batch-processing machine scheduling is proposed A two-stage method isproposed to solve the problem A batching rule considering maintenance is proposed to group jobsinto batches firstly And then we improve existing heuristics to schedule production and maintenanceComputational results indicate that the two-stage method based on proposed batching rule andimproved heuristics is effective

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844275

DOI 101109IEA20188387113

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionBPM (Batch processing machine) problem has attracted many researchers in recent years BPMis able to process a group of jobs as long as the number of jobs in the batch is less than or equalto the capacity of the machine To minimize total flow time Rui Xu [1] proposed an ant colonyalgorithm combined with the candidate list NR Parsa [2] proposed an algorithm using a hybridmax-min ant system AH Kashan [3] proposed a batch based hybrid genetic algorithm thatgenerates random batches of jobs and ensures feasibility To minimize total earliness andtardiness of the jobs NR Parsa [4] proposed a dynamic programming algorithm and severalheuristics BPM problem is practically applied in many manufacturing industries One of them issemiconductor wafer manufacturing industry BPM problem is applied in the furnace area in themanufacturing process of semiconductor wafers The machine is only shared by jobs requiringthe particular processing operation [5] That is in reality only semiconductor wafers with thesame kind of process can be grouped into a batch However the papers above did not take thisconstraint into consideration They assumed the jobs with different processing time can begrouped into the same batches Also the above papers did not consider about maintenancewhen grouping and scheduling jobs

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Jingying HuangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina

Liya WangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina

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Lenovo
Highlight

KEYNOTE AND INVITE SPEAKERS

Keynote Speech

Keynote Speech ndashI

Abstract of speech

Many products are designed to last longer than

the typical lifespan of human being Its thus a

challenge to validate the design life through

reliability tests even when testing is conducted

under much harsher environment Not only that

test duration is usually constrained but the

samples available for testing may also be costly

andor limited in quantity Statistically optimal

plans will allow for efficient use of testing

resources and yet derive the most information

from the test In this presentation we shall

discuss ideas related to designing test plans for

both constant stress and step stress ALT leading

to the statistical optimal plan for sequential ALT

While that of constant ALT is basically a Bayesian

approach that for the step stress ALT requires

solving a dynamic program using backward

induction For the latter optimal solutions are

only available for exponential lifetime and there

are rooms for further research

Loon Ching TANG

BIO Dr Loon Ching TANG is currently the Director of

Temasek Defence Systems Institute and Professor of

Department of Industrial Systems Engineering and

Management at the National University of Singapore

He obtained his PhD degree from Cornell University in

the field of Operations Research in 1992 and has

published extensively in areas related to industrial

engineering and operations research He has been

presented with a number of best paper awards

including the IIE Transactions 2010 Best Application

Paper Award and 2012 RA EvansPK McElroy Award

for the best paper at Annual RAMS Prof Tang is the

main author of the award-winning book Six Sigma

Advanced Tools for Black Belts and Master Black Belts

Besides being active in the forefront of academic

research in the last 25 years Prof Tang has served as

consultant for many organizations such as the

Ministry of Home Affair Singapore Power Republic of

Singapore Air Force Seagate HP Phillips etc on a

wide range of projects aiming at improving

organizational and operations efficiency especially

through better management of engineering assets He

is currently a fellow of ISEAM the Editor of Quality amp

Reliability Engineering International and an editorial

review board member of the flagship journal of ASQ

Journal of Quality Technology (since 2006) He has

served as the Region VP (Asia) of IIE (2013-16) and a

member of the advisory board of the Singapore

Innovation and Productivity Institute

Apr 26(Thu) 2018 1305-1350

Auditorium Room

ldquoPlanning Sequential Accelerated Life Testingrdquo

Prof Loon Ching TANG

National University of Singapore Singapore

Lenovo
Highlight

Keynote Speech ndashII

George ZHANG

BIO Professor Zhe George Zhang is a professor of

Management Science in the Department of Decision

Sciences at Western Washington University and a

professor of Operations Management in Beedie

School of Business at Simon Fraser University He is

also visiting professor of Sauder School of Business

at the University of British Columbia Dr Zhang

received his BS in Computer Science and MA in

Economics from Nankai University China his MBA

from the Schulich School of Business at York

University and his PhD in Operations research from

the University of Waterloo Professor Zhang has

published many papers in prestigious journals such

as Management Science Operations Research

Manufacturing amp Service Operations Management

Production and Operations Management IIE

Transactions IEEE Transactions Queueing Systems

Journal of Applied Probability Co-authored with

Professor Tian in 2006 he published the research

monograph Vacation Queueing Models - Theory

and Applications the first book on this particular

topic (now highly cited) Professor Zhangs research

interests include queueing theory and applications

and stochastic models for manufacturing and

service systems The main theme of his research is

to bridge the gap between theory and application

obtaining unobservable and sometimes

counter-intuitive but significantpractical

management insights via modeling and quantitative

analysis Currently he is particularly interested in

the quantitative and economic analysis of the

congestion problems in urbanmass transportation

networks healthmedical care systems and public

service systems with both customer service quality

and security concerns As an expert in data analysis

and quantitative modeling he has consulted in

industry and has given research seminars and short

lectures at leading universities around the world He

was invited to present plenary or keynote talks in

several international conferences Professor Zhang

is the one of Editor-in-Chiefs for new journal

Queueing Models and Service Management aan

associate editor of INFOR (Information Systems and

Operations Research) and is on the editorial board

of several international journals in Operations

Research and Management Science

Apr 26(Thu) 2018 1350-1435

Auditorium Room

ldquordquo

Prof George ZHANG

Western Washington University USA

Lenovo
Highlight

Keynote Speech ndashIII

Abstract of speech

The purpose of this paper is to investigate the

generalized age maintenance policies for a system

with random working times When the system fails

it is subject to one of two types of failures with

age-dependent probability type I failure can be

removed by minimal repair and type II failure must

be rectified by replacementA First the system is

preventively replaced before type II failure at time T

or at the completion of Nth working projects

whichever occurs first Two modified models where

the system is preventively replaced before type II

failure at time T or at the completion of Nth

working projects whichever occurs last and it is

preventively replaced at the first completion of the

working project over time T or at the completion of

Nth working projects whichever occurs first are

considered By introducing costs due to repairs

maintenance and replacement the expected cost

per unit time is derived as a criterion of optimality

and the optimal policy that minimizes that cost is

discussed analytically

Shey-Huei SHEU

BIO Professor Shey-Huei Sheu is a Chair Professor

of Department of Statistics and Informatics Science

at the Providence University He is an Honorary

Chair Professor of the Department of Industrial

Management at the National Taiwan University of

Science and Technology He received his MS

degree (1979) in applied mathematics from the

National Tsing Hua University and his PhD degree

(1987) in statistics from the University of Kentucky

He has published in journals such as Naval Research

Logistics Journal of Applied Probability RAIRO

Operations Research Microelectronics and

Reliability Reliability Engineering and System Safety

International Journal of Systems Science Quality

and Reliability Engineering International

International Journal of Reliability Quality and

Safety Engineering Journal of the Operational

Research Society European Journal of the

Operational Research Computers and Operation

Research Computers and Industrial Engineering

Quality Engineering Asia-Pacific Journal of the

Operational Research Communications in

Statistics-Theory and Methods Computers and

Mathematics with Applications Simulation

Modeling Practice and Theory Communications in

Statistics-Simulation and Computation Journal of

Statistical Computation and Simulation

International Journal of Production Economics

Quality Technology and Quantitative Management

The International Journal of Advanced

Manufacturing Technology Expert Systems

International Journal of Computer Mathematics

Journal of Applied Statistics Production Planning

and Control International Journal of Production

Research Applied Mathematical Modelling IEEE

Transactions on Reliability and Annals of

Operations Research

Apr 26(Thu) 2018 1435-1520

Auditorium Room

ldquoThe Generalized Age Maintenance Policies with

Random Working Timesrdquo

Prof Shey-Huei SHEU

Providence University Taiwan

Lenovo
Highlight

Keynote Speech ndashIV

Abstract of speech

IEEE 80211ah a specification belonging to 80211

wireless local area network (WLAN) protocol family

has been recently released to support the

long-range low-power and low-rate wireless

communication among smart devices used in

Internet of Thing (IoT) systems However security

requirements of the energy-constrained devices

have plenty of issues different from the traditional

wireless devices It requires that the lightweight

security protocols have to support low-power and

low-latency as well as the long-lasting features of

quantities of IoT devices The recently released IEEE

statndard IEEE 80211ai has specified a Fast Initial

Link Setup (FILS) which is a brand-new approach

aiming at establishing fast stable and secure links

among smart devices IEEE 80211ai could be applied

to other wireless systems such as the wireless

system of IEEE 80211ah with security

enhancements In this talk I would address the

secureity issues of IEEE 80211ai and IEEE 80211ah

with an new proposal to enhance the

authentication process in the link setup procedure

specified by IEEE 80211ai

Maode MA

BIO Dr Maode Ma is a Fellow of IET He received his

PhD degree in computer science from Hong Kong

University of Science and Technology in 1999 Now

Dr Ma is an Associate Professor in the School of

Electrical and Electronic Engineering at Nanyang

Technological University in Singapore He has

extensive research interests including network

security and wireless networking Dr Ma has about

350 international academic publications including

over 160 journal papers and about 190 conference

papers He has delivered over 50 keynote speeches

at various international conferences He has served

as various chairs for over 100 international

conferences He currently serves as the

Editor-in-Chief of International Journal of Computer

and Communication Engineering and International

Journal of Electronic Transport He also serves as a

Senior Editor or an Associate Editor for other 4

international academic journals Dr Ma is a Senior

Member of IEEE Communication Society and IEEE

Education Society and a Member of ACM He is the

Chair of the IEEE Education Society Singapore

Chapter and the Chair of the ACM Singapore

Chapter He has served as an IEEE Communication

Society Distinguished Lecturer from 2013-2016

Apr 26(Thu) 2018 1530-1615

Auditorium Room

ldquoEfficient and Secure Authentication Schemes for

IEEE 80211ah Networks rdquo

Prof Maode MA

Nanyang Technological University Singapore

Lenovo
Highlight

Keynote Speech ndashV

Abstract of speech

Stochastic aircraft routing (SAR) plays a critical role

in defining the routing plans of airlines which

include assigning the aircraft to flight legs and

determining the time and location of maintenance

to the aircraft Based on the routing plan specified

by the airlines the maintenance providers should

schedule their workforce to perform maintenance

operations by solving the maintenance staffing

problem (MSP) MSP helps maintenance providers

to build their staffing plans which include the

assignment of manpower to each aircraft so that

aircraft receive the required maintenance

operations as planned Practically for airlines the

routing plan will be interrupted (eg flight delays) if

an aircraft cannot be released from the

maintenance station punctually Similarly for

maintenance providers if an aircraft misses the

scheduled appointment at the maintenance station

this will also cause a huge interruption to their

staffing plan Therefore there is an interrelationship

between SAR and MSP In the literature the focus

of each problem has been traditionally considered

separately with only limited consideration of their

interrelationship In this paper we study SAR along

with MSP with the objective of investigating the

interrelationship between SAR and MSP For this

purpose we propose a coordinated configuration

of SAR and MSP that is formulated as a

leader-follower Stackelbery game in which SAR

acts as a leader and MSP acts as a follower This

game is enacted through a bi-level optimization

model which is solved by a bi-level nested ant

colony optimization (ACO) algorithm A case study

of a major airline and maintenance provider located

in the Middle East is presented to demonstrate the

feasibility and potential of the proposed model The

results demonstrate significant saving in the costs

of both companies

Felix TS CHAN

BIO Professor Felix T S Chan received his BSc

Degree in Mechanical Engineering from Brighton

Polytechnic (now University) UK and obtained his

MSc and PhD in Manufacturing Engineering from

the Imperial College of Science and Technology

University of London UK Professor Chan is now

working at the Department of Industrial and

Systems Engineering The Hong Kong Polytechnic

University and also serving as Associate Dean

(Research) at the Faculty of Engineering His current

research interests are Logistics and Supply Chain

Management Operations Management

Distribution Coordination Systems Modelling and

Simulation AI Optimisation To date he has

published 16 book chapters over 300 refereed

international journal papers and 250 peer reviewed

international conference papers h index= 30 under

the Web of Science He is a chartered member of

the Chartered Institute of Logistics and Transport in

Hong Kong According to a study lately published in

the International Journal of Production Research

(httpdxdoiorg1010800020754320151037935)

the study measured the research contributions over

a 26-year time frame (1985-2010) of academic

institutions and individual authors to the field of

Apr 26(Thu) 2018 1615-1700

Auditorium Room

ldquoInvestigating the Interrelationship between

Stochastic Aircraft Routing of Airlines and

Maintenance Staffing of Maintenance Providersrdquo

Prof Felix TS CHAN

The Hong Kong Polytechnic University Hong Kong

Lenovo
Highlight

Operations Management (OM) based on published

articles in 11 top-rated and well-known academic OM

journals Professor Chan was among the top 50

prolific authors list who have made the greatest

overall contribution to the field as measured by the

number of distributed and shared articles published

in the 11 designated journals Also Professor Chan

was Ranked No 3 in The top 100 authors as the

most productive researchers in the field of

Operations Management over the past 10 years

(2001-2010)

COMMITTEE

ICIEA 2018 Organizing Committee

International Advisory Committee

Zhe George Zhang Western Washington University USA

Conference Chairs

Felix T S Chan The Hong Kong Polytechnic University Hong Kong

Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan

Local Organizing Chair

TANG Loon Ching National University of Singapore Singapore

Organizing and Program Committees

Seoung Bum Kim School of Industrial Mangement Engineering Korea University

Usik Lee Inha University Korea

Maode Ma Nanyang Technological University Singapore

Finance Chair

Minghan Xi Dalian Maritime University China

International Technical Committees

Cheng-Feng HuNational Chiayi University Taiwan

Dong-Yuh YangNational Taipei University of Business Taiwan

Mario HirzGraz University of Technology Austria

Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt

Po-Hsiang Liu College of Business and Management in St Johns University USA

Taesu Cheong Korea University Korea

Tien-Lun Liu Chung Yuan Christian University Taiwan

Wei CaiWuhan University of Technology China

Jinguo Huang Huazhong University of Science and Technology China

Yu-Chung Tsao National Taiwan University of Science Technology Taiwan

Yip Mum WaiTunku Abdul Rahman University College Malaysia

Pule Kholopane University of Johannesburg South Africa

Bonivasius Prasetya Ichtiarto mercu buana university Indonesia

Elita Amrina Andalas University Indonesia

Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan

Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong

Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia

Lenovo
Highlight
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Highlight
Lenovo
Highlight
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Highlight

Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India

Byung Do Chung Yonsei University Korea

M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia

Sandeep Singhal National Institute of Technology India

J W Wang The University of Hong Kong Hong Kong

Ching-Chang Kuo National Taichung University of Science and Technology Taiwan

Kuo-Hsiung Wang Providence University Taiwan

ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia

Sangbok Lee Hansung University Korea

Adrian E Coronado Mondragon Royal Holloway University of London UK

Chin-I Lee Ling Tung University Taiwan

S H ChoiUniversity of Hong Kong Hong Kong

Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan

Wei Cai Wuhan University of Technology China

Hashibah Hamid Universiti Utara Malaysia Malaysia

TMA Ari Samadhi Bandung Institute of Technology Indonesia

Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia

Pi-Chun Hsu Chaoyang University of Technology Taiwan

Mu-Chen Chen National Chiao Tung University Taiwan

Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan

Tsu-Wei Yu Chaoyang University of Technology Taiwan

Lingyun Wei Beijing University of Posts and Telecommunications China

Hamdi Bashir University of sharjahUnited Arab Emirates

LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand

LIU Hai-peng Kunming University of Science and Technology China

Elfira Febriani Trisakti University Indonesia

Yu-Hsiang Hsiao National Taipei University Taiwan

Chien-Chih Wang Ming Chi University of Technology Taiwan

Atichart Harncharnchai Chiang Mai University Thailand

Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)

Switzerland

Bambang Suhardi Universitas Sebelas Maret Indonesia

Ssu Han Chen Ming Chi University of Technology Taiwan

Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia

Augustina Asih Rumanti Bandung Institute of Technology Indonesia

Maheshwar Dwivedy BML Munjal University India

Zhichuan Guan China university of petroleum (East China) China

Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia

Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia

Yenming J Chen National Kaohsiung University of Science and Technology Taiwan

Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia

TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand

Li Li Nanjing University of Science and Technology China

SERTIFIKAT

Page 5: Nilai Maksimal Prosiding - eprints.undip.ac.ideprints.undip.ac.id/70482/1/...of_GSCM_practice_peer_review_lengkap.pdf · discriminant function as Z= (0.238-IeM) + (0.602-GPU) + (1.161-CCO)

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(2011) Transportation Research Part E Logistics and Transportation Review 47 (6) pp 850-871

doi 101016jtre201105017

Vachon S Klassen RD

(2006) International Journal of Operations and Production Management 26 (7) pp 795-821

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Vachon S Klassen RD

(2008) International Journal of Production Economics 111 (2) pp 299-315 doi 101016jijpe200611030

Green Jr KW Zelbst PJ Bhadauria VS Meacham J

(2012) Industrial Management and Data Systems 112 (2) pp 186-205 doi 10110802635571211204254

Gimenez C Sierra V

(2013) Journal of Business Ethics 116 (1) pp 189-203 doi 101007s10551-012-1458-4

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Green supply chain management in China Pressures practices and performance

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Institutional-based antecedents and performance outcomes of internal and externalgreen supply chain management practices

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8

The influence of green practices on supply chain performance A case study approach

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9

Extending green practices across the supply chain The impact of upstream anddownstream integration

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10

Environmental management and manufacturing performance The role ofcollaboration in the supply chain

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11

Do environmental collaboration and monitoring enhance organizationalperformance

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12

Sustainable Supply Chains Governance Mechanisms to Greening Suppliers

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(2004) Illegal Logging and Global Wood Markets The Competitive Impacts on the US Wood ProductsIndustry American Forest amp Paper Association

Susanty A Santoso H Sari DP Parasayu SEffect of internal green supply chain practices on environmental performance of SMEs of wooden furnitureindustry(2017) Proc World Congress on Engineering 2017 2 July 5-7 London UK

Hamel G Prahalad CK

(1989) Harvard Business Review 67 (3) pp 63-76

Carter CR Ellram LMReverse logistics A review of the literature and framework for future investigation(1998) J Bus Logist 19 (1) pp 85-102

Min H Galle WP

(2001) International Journal of Operations and Production Management 21 (9) pp 1222-1238

doi 101108EUM0000000005923

Zsidisin GA Siferd SP

(2001) European Journal of Purchasing and Supply Management 7 (1) pp 61-73 doi 101016S0969-7012(00)00007-1

Green K Morton B New S

(1998) Supply Chain Management 3 (2) pp 89-95 doi 10110813598549810215405

Schlegelmilch BB Bohlen GM Diamantopoulos AThe link between green purchasing decisions and measures of environmental consciousness(1996) Eur J Mark 30 (5) pp 35-55

ElTayeb TK Zailani S Jayaraman K

(2010) Journal of Manufacturing Technology Management 21 (2) pp 206-225 doi 10110817410381011014378

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To revitalize corporate performance we need a whole new model of strategy Strategicintent

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Green purchasing practices of US firms

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Environmental purchasing A framework for theory development

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Green purchasing and supply policies Do they improve companies environmentalperformance

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The examination on the drivers for green purchasing adoption among EMS 14001certified companies in Malaysia

Cited 88 times

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Zhu Q Geng Y Lai K-H

(2010) Journal of Environmental Management 91 (6) pp 1324-1331 doi 101016jjenvman201002013

Diabat A Khodaverdi R Olfat L

(2013) International Journal of Advanced Manufacturing Technology 68 (1-4) pp 949-961 doi 101007s00170-013-4955-4

Laosirihongthong T Adebanjo D Choon Tan K

(2013) Industrial Management amp Data Systems 113 (8) pp 1088-1109 doi 101108IMDS-04-2013-0164

Zhu Q Sarkis J

(2006) Journal of Cleaner Production 14 (5) pp 472-486 doi 101016jjclepro200501003

Zhu Q Sarkis J

(2007) International Journal of Production Research 45 (18-19) pp 4333-4355 doi 10108000207540701440345

Johansson GSuccess factors for integration of ecodesign in product development A review of state of the art(2002) Environ Manage Health 13 (1) pp 98-107

Eltayeb TK Zailani SGoing green through green supply chain initiatives towards environmental sustainability(2009) Oper Supply Chain Manag 2 (2) pp 93-110

Lee SM Kim ST Choi D

(2012) Industrial Management amp Data Systems 112 (8) pp 1148-1180 doi 10110802635571211264609

22

Circular economy practices among Chinese manufacturers varying in environmental-oriented supply chain cooperation and the performance implications

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23

An exploration of green supply chain practices and performances in an automotiveindustry

Cited 70 times

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24

Green supply chain management practices and performance

Cited 85 times

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25

An inter-sectoral comparison of green supply chain management in China Driversand practices

Cited 470 times

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26

The moderating effects of institutional pressures on emergent green supply chainpractices and performance

Cited 455 times

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Green supply chain management and organizational performance

Cited 126 times

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(2012) International Journal of Operations and Production Management 32 (6) pp 721-745 doi 10110801443571211230943

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Zsidisin GA Hendrick TE

(1998) Industrial Management and Data Systems 98 (7) pp 313-320

doi 10110802635579810241773

Zhu Q Geng Y Sarkis J Lai K-H

(2011) Transportation Research Part E Logistics and Transportation Review 47 (6) pp 808-821

doi 101016jtre201009013

Angel Latha Mary S Sivagami AN Usha Rani M

(2015) ARPN Journal of Engineering and Applied Sciences 10 (9) pp 4009-4012

Herremans IM Herschovis MS Bertels S

(2009) Journal of Business Ethics 89 (3) pp 449-472 doi 101007s10551-008-0010-z

Holt D Ghobadian A

(2009) Journal of Manufacturing Technology Management 20 (7) pp 933-956 doi 10110817410380910984212

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The impact of external institutional drivers and internal strategy on environmentalperformance

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Purchasings involvement in environmental issues A multi-country perspective

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Evaluating green supply chain management among Chinese manufacturers from theecological modernization perspective

Cited 112timeswwwelseviercomincapublicationsstore600244

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34

Cluster validity measures dynamic clustering algorithms

Cited 11 timeshttpwwwarpnjournalscomjeasresearch_papersrp_2015jeas_0515_2043pdf

35

Leaders and laggards The influence of competing logics on corporate environmentalaction

Cited 33 times

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36

An empirical study of green supply chain management practices amongst UKmanufacturers

Cited 236 times

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COVER DAFTAR ISI DAN BUKTI PESERTA DARI EMPAT

NEGARA

2018 The 5th International

Conference on Industrial

Engineering and Applications

Technical Program

April 26-28 2018

Shaw Foundation Alumni House National University of Singapore

Singapore

wwwicieaorg

Sponsored by Assisted by

ICIEA

2018

iii

2018 5th International Conference on Industrial Engineering and Applications

ICIEA 2018Table of Contents

Decision Analysis and Methods

Towards a Decision Support Approach for Selecting Physical Objects in Collaborative Supply Chain Processes

for Cyber Physical System-Transformation 1

Endric Hetterscheid Florian Schluumlter

Decision Support System for Inventory Control of Raw Materialmdash(Case Study PT Suwarni Agro Mandiri Plant

Pariaman Indonesia) 6

Difana Meilani Amelia Andiningtias Dicky Fatrias

Integration AHP and TOPSIS in Shipyard Location Selection 11

Ali Parkhan Aldrin Daeng Vatimbing Imam Djati Widodo

E-Business and E-Commerce

Inventory Management in E-commerce Supply Chain with Lateral Transshipment and Quick Response17

Xueqing Yu Lingyun Wei

Impact of Recommender Systems on Unplanned Purchase Behaviours in e-Commerce 21

Zhang Ying Chen Caixia Gu Wen Liu Xiaogang

Evaluating and Analyzing the Effectiveness of Online Advertising31

Huini Zhou Li Li Xiaoguang Gu

Micro Enterprise and e-Commerce Platform Literature Review and Agenda for Future Research 38

Clara Linggaputri Isti Surjandari Akhmad Hidayatno

Prefacehelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellipxiii

Conference Committeeshelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellipxiv

iv

Global Manufacturing and Engineering Economics

Optimal Manufacturing Outsourcing Decision Based on the Degree of Manufacturing Process

Standardization49

PingYu Chang Thi Thanh Nhan Phan

A Functional Design of a Cost Benefit Analysis Methodology for Transport Infrastructure Projects54

Tiep Nguyen Stephen Cook Indra Gunawan

Demand Management Practices in the Manufacturing Industry An Empirical South African Perspective 60

Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa

Healthcare Systems and Management

A Study on Healthcare-product Supply Chain with a Group Purchasing Organization67

Yin Han Lingyun Wei

A Study on Shortage of Hospital Beds in the Philippines Using System Dynamics 72

Josephine D German John Karlo P Mintildea Claudine Mae N Alfonso Kang-Hung Yang

Research on Health Monitoring Mechanism Based on Service Invocation79

Xuan Mei Xinming Tan

Business Process Reengineering for the Saline Management in Hospitals84

Sith Vilasdechanon Apichat Sopadang

The Acceptance Model of Hospital Information Systems in Thailand A Conceptual Framework Extending

TAM89

Paneepan Sombat Wornchanok Chaiyasoonthorn Singha Chaveesuk

Human Factors

An Experimental Study to Investigate Personality Traits on Pair Programming Efficiency in Extreme

Programming 95

Ramlall Poonam Chuttur M Yasser

Intention of Opening Up the Network of Personal Data 100

Mao-Sung Chen Tung-Kuan Liu Ming-Tien Tsai

The Differences of Individual Spatial Strategy on Their Solving Performance 105

Sakulporn Pornpanom Arisara Jiamsanguanwong

v

Understanding the Model of User Satisfaction in Using Cloud Storage Systems of Employees in Thailand A

Conceptual Framework 110

Kulapa Najantong Singha Chaveesuk Wornchanok Chaiyasoonthorn

Evaluating Variables That Affect Job Satisfaction of Bank Customer Contact Centre Agents in South Africa

116

Eveth Nwobodo-Anyadiegwu Charles Mbohwa Nokukhanya Ndlovu

Information Processing and Engineering

Real-time Localization and Navigation in an Indoor Environment Using Monocular Camera for Visually

Impaired 122

Kruthika Ramesh Nagananda S N Hariharan Ramasangu Rohini Deshpande

Experiment and Optimization of Magnetostrictive for Long Time Operation to Find Amplitude of Vibration

and Thermal Limit 129

Nuttakorn Pukseesang Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa

Some Methods for Measuring the Efficiency of Firms Utilizing Different Technologies 134

Soobin Choi Jaedong Kim Hanjun Lee

Core Challenges to Cloud PLM Adoption in Large Manufacturing Firms 141

Shikha Singh Subhas Chandra Misra

Intelligent Systems

Visual and Hearing Detection Capabilities to Discriminate whether a UAV Invade a Campus Airspace 146

S J Chang K W Li

Reflections on Facilitating the Development of ldquoInternet Plusrdquo Intelligent Manufacturing in China 150

Yong Tao Gang Zhao Qiushi Li Wen Zhao

A Study of Small Complicated Axisymmetric Parts Manufacturing in Industry 40 158

Chengcheng Zhu Shengdun Zhao Shuaipeng Li

Voltage Stability in DC Micro Grid by Controlling Two Battery Units with Hybrid Network Systems 163

Adhi Kusmantoro Ardyono Priyadi Mauridhi Hery Purnomo

Design and Implementation of IoT Based Smart Laboratory 169

M Poongothai P Muthu Subramanian A Rajeswari

vi

Analysis of Microwave Precipitation in the Topographic Barrier for the Lifting Condensation Level of Clouds

Formation 174

Supawat Kotchapradit Thanaset Thosdeekoraphat Samran Santalunai Chanchai Thongsopa

Improved Efficiency of Insect Pest Control System by SSPA 179

Phanupong Saeung Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa

Manufacturing Systems

Optimized Information Exchange Process between CAD and CAMmdashEnhanced Data Exchange in the Field of

Joining Technology from the Viewpoint of an Automotive Supplier 184

Alexander Kreis Mario Hirz Severin Stadler

Efficiency Improvement of Door Frame Manufacturing Process in Wood Product Manufacturing Industry

189

Lerdlekha Sriratana

The Structural Design of 3D Print Head and Execution of Printing via the Robotic Arm ABB IRB 140 194

Martin Pollaacutek Jozef Toumlroumlk Jozef Zajac Marek Kočiško Monika Teliškovaacute

Micro-fabrication Method of Au Micro-wire Structures on Substrate by Chemical Printing and Peeling Process

199

Potejana Potejanasak

Evaluation of Thermal Comfort Room Garment Workshop in Textile Vocational School 203

Anastasia Febiyani Bambang Suhardi Eko Pujiyanto

Modular Measuring System for the Force Distribution in Forming Processes 208

W Zorn L Hamm R Elsner W G Drossel

Gravity Filling System of Slurry for Rod Mill Sand with High Concentration and Research on Technical

Transformation in Jinchuan Mine 214

Li Li-Tao Yang Zhi-Qiang Gao Qian Wang Yong-Ding

Defect Reduction in the Board Front Door Trim Manufacturing Process 220

Punyisa Kuendee

Operations Research

Integrated Railway Timetable Scheduling Optimization Model and Rescheduling Recovery Optimization

Model A Systematic Literature Review 226

Erlangga Bayu Setyawan Dida Diah Damayanti

vii

A Comparative Analysis about the Balance Design of the Assembly Line by Branching amp Bound Method and

Lingo Method 231

Jia Shuyuan Huang Li Li Qin Gu Yonghu

The Optimal Routes and Modes Selection in Multimodal Transportation Networks Based on Improved A

Algorithm 236

Yan Liu Lingyun Wei

Industrial Cluster Optimization Based on Linear Programming 241

Roberto Montemanni Jafar Jamal

Multi-objective Joint Optimization of Batch-discrete Hybrid Flow Shop Scheduling Integrated with Machine

Maintenance 247

Yangyang Fei Huimin Ma

Investigating the Interrelationship between Stochastic Aircraft Routing of Airlines and Maintenance Staffing

of Maintenance Providers 254

Felix T S Chan Abdelrahman E E Eltoukhy

An Modified Relax-and-fix Algorithm for the Multi-level Lot-sizing Problem with Replaceablility 262

Mingyuan Wei Yifei Yuan Canrong Zhang

Height-Based Heuristics for Relocating Containers during Loading Operations 268

Yifei Yuan Canrong Zhang Ting Huang

A Record-to-Record Travel Algorithm for Multi-product and Multi-period Inventory Routing Problem 274

Fadillah Ramadhan Arif Imran Afrin Fauzya Rizana

Developing Tabu Search with Intensification and Diversification for the Seriation Problem 279

Pimprapai Thainiam

A Comparative Study of Mixed-Integer Linear Programming and Genetic Algorithms for Solving Binary

Problems 284

Punyisa Kuendee Udom Janjarassuk

Production Planning and Control

Concurrent Optimization of Job Shop Scheduling and Dynamic and Flexible Facility Layout Planning 289

Ryota Kamoshida

Makespan Minimization on Single Batch-processing Machine Considering Preventive Maintenance 294

Jingying Huang Liya Wang

viii

Customer Kansei-Oriented Restaurant Location Evaluation Using Kansei Engineering 299

Yu-Hsiang Hsiao Guan-Ting Chen

An Improvement Scheme for the Overall Line Effectiveness of a Production Line A Case Study 304

Jieli Li Yuhui Jia Binbin Xu Fei Chen Zhaojun Yang Xiaodong Li

An Adjustment Method for Material Inventory Control Decision Considered in Product Life Cycle 310

Jiun-Shiung Lin Jen-Huei Chang i-Yan Yang

Application of a Hidden Markov Model for Consistency Checking of Process Plant Facility Tag NumbersmdashA

Case Study 314

Jayaram Sivaramakrishnan Gareth Lee

Analyzing Circadian Rhythms for Breaktime Schedulling on Night Shift Work 321

Lovely Lady Ansor Firdaus

Resource-Reconfigured Flow Shop Scheduling and Lot-Sizing Problems in Semiconductor Test 326

Yige Zhang Yuangen Lu Cangrong Zhang

Process Flow Improvement in Production of Noise Filter Products through Lean Manufacturing Technique

333

Rattarak Moonpragarn Rungchat Chompu-inwai

Waste Reduction in the Shoe Sewing Factory 340

Pongpat Phetrungrueng

The Joint Replenishment Problem with Resource Restriction A Note 345

M I M Wahab Y Chen

Aggregate Planning in Canned Pineapple Production Lines 349

Datepard Charoenponyarrat Tuanjai Somboonwiwat

Applications of Data Mining

A Research Study on Unsupervised Machine Learning Algorithms for Early Fault Detection in Predictive

Maintenance 355

Nagdev Amruthnath Tarun Gupta

The Analysis of Matching Learners in Pair Programming Using K-Means 362

Naladtaporn Aottiwerch Urachart Kokaew

Machine Learning Based Approach for Demand Forecasting Anti-aircraft Missiles 367

Jaedong Kim Hanjun Lee Soobin Choi

ix

Quality Control and product lifecycle Management

Simultaneous Prediction Interval-Based Multiobjective Solution Approach for Multiple Quality Characteristics

Optimization 373

Abhinav Kumar Sharma Indrajit Mukherjee

The TQM Integration in Procurement Function Performance 378

Bisalyaputra K

Safety Analysis at Weaving Department of PT X Bogor Using Failure Mode and Effect Analysis (FMEA) and

Fault Tree Analysis (FTA) 382

Prima Fithri Nidi Annisa Riva Lusi Susanti Berry Yuliandra

Success Determinants to Product Lifecycle Management (PLM) Performance 386

Shikha Singh Subhas Chandra Misra

Company Performance Measurement for Automobile Companies a Composite Indicator from an

Environmental Perspective 391

Qinqin Zeng Wouter W A Beelaerts van Blokland Sicco C Santema Gabriel Lodewijks

Loss Time Reduction for Improve Overall Equipment Effectiveness (OEE) 396

Kamolchanok Krachangchan Natcha Thawesaengskulthai

Service Innovation and Management

Estimating Diffusion of Technology Using User Perceptual Values A Conceptual Model 401

Chaudry Bilal Ahmad Khan

Implementation of Innovative Digitalization Methods in Reverse Engineering 406

Monika Teliškovaacute Martin Pollaacutek Jozef Toumlroumlk Jakub Kaščaacutek Petr Baron Viktoria Mezencevova

Topological Evolution of Public Transportation Network A Case Study of Bangkok Rail Transit Network 410

Pijaya Na Bangxang Pisit Jarumaneeroj

A Design of Automated Parking System for Shopping Centers in Metro Manila 415

Ma Janice J Gumasing Charles Aaron V Atienza

Design of an Ergonomic Classroom Chair and Desk for Preschool Students of Selected Public Schools in

Cabuyao City Laguna 420

Ezrha C Godilano Mark Kevin G Galang Hazel Elaine O Ramilo Kristian Roi F Velayo

Design of an Ergonomic Wheelbarrow to Reduce Physiological Demands of General Users 424

Ezrha C Godilano Karl Vincent Casas Aubrey Justine Vargas

x

Ergonomic Intervention Addressing Musculoskeletal Disorders among Poultry Layer Workers 429

Ma Janice J Gumasing Rex Aurelius C Robielos

Wristwatch Development Based on Kansei Engineering 435

Imam Djati Widodo Heavy Zerry Novibrilliawan

Innovative Product Development of Fabric Glass Interlayer 440

Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong

Systems Modeling and Simulation

A Simulation Study of Multi-dimensional Clearing Function Considering Degradation for Semiconductor

Manufacturing 448

Jianqiu Huang Jingying Huang Liya Wang

Productivity Improvement of Tapioca Packing Process through Simulation Modeling Analysis 453

Nara Samattapapong

Modelling the Barriers for Mass Adoption of Electric Vehicles in Indian Automotive Sector An Interpretive

Structural Modeling (ISM) Approach 458

Surya Prakash Sameer Sharma Poudel Maheshwar Dwivedy Dilesh Raj Shrestha

Diagnostics of the Wire Coating Production Line by Implementation of Computation Methods 463

Ivan Kuric Miroslav Cisar Ivan Zajacko Tomas Gal

District Model with Two Types of Vehicles for Transporting Sugarcane 468

Rujirat Patcharamethanon Kanchala Sudtachat

Experiment of Induction Heating Application for Heating Multilayer Metallic Hollow Altered Cylinder 475

Jakkarin Srituvanont Thanaset Thosdeekoraphat Chanchai Thongsopa Samran Santalunai

A Framework for Analyzing and Developing Dashboard Templates for Small and Medium Enterprises 479

Wasinee Noonpakdee Thitiporn Khunkornsiri Acharaphun Phothichai Kriangsak Danaisawat

An Economic Order Quantity Model with Continous Quantity Discount and Probabilistic Demand 484

Ardian Rizaldi Ashaeurizky Dilianaputri Fitri A Anugrah Riska Ummaya Senator Nur Bahagia

Technology and Knowledge Management

Analyzing Interdependencies in a Project Portfolio Using Social Network Analysis Metrics 490

Helal Al Zaabi Hamdi Bashir

Sentiment Analysis of Twitter Corpus Related to Artificial Intelligence Assistants 495

Chae Won Park Dae Ryong Seo

xi

Artificial Neural Neural Network Approach for Technology Life Cyle Construction on Patent Data 499

Muhammad Hanif Ramadhan Vialli Ibrahim Malik Teddy Sjafrizal

A Systematic Literature Review on Knowledge Sharing for Innovation Empirical Study Approach 504

Augustina Asih Rumanti T M A Ari Samadhi Iwan Inrawan Wiratmadja Indryati Sunaryo

Belief Representation of Design Mental Model Based on Design Rationale 510

Chen Ying Jing Shikai Wang Yedong Cheng Dada

Study on Teaching Methods of Fundamental Electrical Courses in Engineering Education 515

Jianpei Chen Fei Gao Lingling Kong Lin Cui

Supply Chain Management

Supply Chain Model for Renewable Energy Resource from Biomass in Vietnam 520

Duy Nguyen Duc Narameth Nananukul

Exploring the Implementation of Green Supply Chain with Cluster and Discriminant AnalysismdashCase Study

Furniture Industry at Central Java Semarang 526

Aries Susanty Diana Puspita Sari

Systematic Literature Review and Improved Model for Mitigating Bullwhip Effect in Low Shelf Life Food

Supply Chain 531

Nia Novitasari Dida Diah Damayanti

Supply Chain Management Performance and Partial Least Square-Structural Equation Model An application

to Thai Tourism Supply Chain 536

Daraka Palang Korrakot Yaibuathet Tippayawong

An Economic Competitiveness Analysis of Power Generation Plants 543

Ndala Yves Mulongo Pule Kholopane

Supplier Selection Considering Sustainablitity Criteria by Using A Hybrid Evaluation Method in Printing

Business 548

Onsiree Mananawigapol Chorkaew Jaturanonda Tuanjai Somboonwiwat

Barriers and Drivers of eBIZ Adoption in the Fashion Supply Chain Preliminary Results 555

Bianca Bindi Virginia Fani Romeo Bandinelli Gilda Massa Gessica Ciaccio Arianna Brutti Piero De

Sabbata

A Simulation Analysis on Regional Logistics Development Based on System Dynamics The Case of Yunnan

Province 560

Yinyuan Si Wensheng Yang Huini Zhou

Lenovo
Highlight

xii

A Sustainability Assessment of Electricity Supply Systems 565

Ndala Yves Mulongo Pule Kholopane

Author Index

1040-1210 Friday 27 Apr

Session B-2 Supply Chain Management Venue Lemongrass Room

Chair

N066

Time 1040-1055

A study on Healthcare-product Supply Chain with a group purchasing organization Ms Yin Han Lingyun Wei Beijing University of posts and telecommunications Beijing China

In order to better understand the impact of group purchasing organization (GPO) on healthcare-product supply chain we build a supply chain model consisting of one manufacturer one competitive source one group purchasing organization(GPO) and n healthcare providers for a single product Providers may purchase from any source for minimizing their total costs Through considering different providersrsquo demands power schemes and revenue sharing between GPO and providers we analyze the performance of supply chain and its members under various situations Numerical examples show some interesting findings (1) When GPO dominates the supply chain GPO can obtain more profits (2)When manufacturer dominates the supply chain and GPO shares its revenue with providers there exists specific revenue sharing rates which increase GPOrsquos profits and reduce providersrsquo cost (3) Manufacturer always can achieve a same optimal profit by changing quantity discount rate when GPO dominates supply chain and shares its revenue with providers

N108

Time 1055-1110

Exploring the Implementation of Green Supply Chain with Cluster and Discriminant Analysis Case Study Furniture Industry at Central Java Semarang Dr Aries Susanty Diana Puspitasari Diponegoro Univeristy Indonesia This study has two objectives First this study aims to categorize the level of the implementation of Green Supply Chain Management (GSCM) practice among Small and Medium Enterprises (SMEs) of wooden furniture in several clusters Second this study aims to find the linear combination of five dimensions of GSCM practices that will discriminate best between prior defined clusters The study used primary data through questionnaires enclosed with the Likert scale 1-5 at 162 SMEs of wooden furniture located in Surakarta Jepara Semarang and Kudus The raw data level of implementation of five dimensions of GSCM practice is analyzed using K-Means cluster and discriminant analysis with the aid of the Statistical Package for the Social Sciences (SPSS) software The result of K-Means cluster analysis indicated that a two-cluster is the optimal number of a group for separating the data of the level of implementation of GSSM practice among SMEs of wooden furniture and the two clusters founded in this research are labeled as early adopter and laggards Then the result of the discriminant analysis indicated that as high as 9877 of the SMEs of wooden furniture was classified correctly The result of discriminant analysis also revealed the discriminant function as Z= (0238IEM) + (0602GPU) + (1161CCO) + (1128ECO) + (1126IRE) - 13124 and the threshold for evaluating a discriminant score of

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Conferences gt 2018 5th International Confer

3 Author(s) Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa View All Authors

Demand management practices in the manufacturing industry An empiricalSouth African perspective

38FullText Views

Abstract

Document Sections

I Introduction

II Literature Review

III Methodology

IV Resultsampinterpretations

V Conclusion

Authors

Figures

References

Keywords

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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

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AbstractThis paper aims to identify and explore Demand Management (DM) practices used within the SouthAfrican Manufacturing industry The study followed a qualitative design approach in order to identifythe relationship between DM methods such as forecasting and the best practices used by therespondents Therefore a purposive sampling technique was used whereby a questionnaire was sentout via email to 15 manufacturing companies before meeting them for a face to face interviewconducted in two weeks Respondents varied from different industries such as automotive wood andpaper chemical food and beverage etc The results demonstrated that although the respondents areaware of the best practices for a good DM system they generally do not apply them entirely becauseof factors like fear of implementing change and failure to quickly adapt themselves to the change thatwould come with those best practices In addition the results also revealed that forecasting is themost used DM method by the respondents and a simple forecasting average is used to predict futuredemand Depending on the company the forecast is done either by a team or by functional areas

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844216

DOI 101109IEA20188387071

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionThe importance of satisfying the customer by meeting the demand has long been recognized bymanagers as crucial to making the organization successful However numerous problems occurand many factors need to be considered in order to give the customer what they want how theywant it as well as where and when they want it Failure to understand crucial characteristics ofdemand will result in supply shortage or excessive stock that will place serious financial burdenson the organization subsequently leading to a loss of market share and customers

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Eric Bakama MikobiDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

Eveth Nwobodo-AnyadiegwuDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

Charles MbohwaDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

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Conferences gt 2018 5th International Confer

2 Author(s) Shikha Singh Subhas Chandra Misra View All Authors

Core challenges to cloud PLM adoption in large manufacturing firms

60FullText Views

Abstract

Document Sections

I Introduction

II Literature Review

III ResearchMethodology

IV Case Study and DataAnalysis

V Result and Discussion

Show Full Outline

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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

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AbstractAs the globalization is at its peak and innovative products are at high demand firms are forced to workin a collaborative manner The product data must be lively available to all the collaborated partnersAlthough on-premise Product Lifecycle Management (PLM) systems are offering the collaborationsand product data management throughout the products lifecycle the Internet of Things (IoT) eraoffers more connectivity at a lesser cost Though most large manufacturing firms have established theon-premise PLM systems yet face some difficulties related to maintenance and upgradations of in-house information technology (IT) infrastructure Hence cloud PLM is under consideration foradoption among many large manufacturing firms However there are several challenges associatedwith cloud PLM adoption decision This work intends to find out the challenges which largemanufacturing firms face while deciding to adopt cloud PLM The empirical investigations have beenattempted to find out the relations among the challenges faced and to provide the guideline on how tofind out the core challenges which needs to be attended before adopting cloud PLM in largemanufacturing firms

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844276

DOI 101109IEA20188387085

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionProduct lifecycle management (PLM) systems are the IT tools [1] which support the PLMbusiness concept [2] to manage the whole lifecycle of a product in firms PLM systems help totransform the organizations into digitized era and make them technologically robust by giving a3D product designing and virtual manufacturing opportunity [3] PLM systems help in substantialcost savings by reducing the real manufacturing efforts Product-related knowledge must need tobe preserved so that it can help in the other phases of product lifecycle such as repair overhaulreuse recycle and or disposal of the product Increasing number of enterprise informationsystems stakeholders and product related information demand the need for a managementapproach which makes the managers capable of managing all the dispersed product informationat one common repository for reuse

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Shikha SinghDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India

Subhas Chandra MisraDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India

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The automation of the technological processesin the Manufacturing Internet of Things contextfor the pharmaceutical enterprises2018 IEEE 9th International Conference onDependable Systems Services andTechnologies (DESSERT)Published 2018

Integration of ERP and Internet of Things inIntelligent Enterprise Management2018 1st International Cognitive CitiesConference (IC3)Published 2018

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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|

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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance

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Conferences gt 2018 5th International Confer

3 Author(s) Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong View All Authors

Innovative product development of fabric glass interlayer

39FullText Views

Abstract

Document Sections

I Introduction

II Methodology

III Conclusion

Authors

Figures

References

Keywords

MetricsPublished in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

References

Keywords

Metrics

AbstractA glass manufacturer in Thailand developed the laminated fabric glass as innovative product in 2013but sales had declined in 2016 Customers survey shows that the satisfaction level decreased due tolong production lead time high-selling price and long installation time This paper aims to develop anew innovative fabric glass interlayer product by adopting 5D innovation development process 5Dconsists of Discover Define Design Develop and Deploy Firstly discover phase adopted Five ForcesAnalysis Customer Behavior Analysis and Customers Satisfaction Survey for specifying marketposition and seeking the hidden customers expectations Define is to summarize the project charteras initiation step in the project management and to scope resources and timeframe Design weadopted the integration of QFD Kano Model and Product Quality Index for prioritizing and translatingcustomer expectations to product specifications Then all concepts were concluded by Pugh MatrixWeighted Sum Score and confirmed the selected concept by financial feasibility study Developprocess is to prototyping to verify the production before scale up Finally generated the riskassessment plan by FMEA and contributed the business plan to ensure the effectivecommercialization in Deploy The developed fabric glass interlayer shows higher customer satisfactionlevel by shorten production lead time from 14 days to 8 days (4285) lower price from 790 bahtft to 485 bahtft (3861) and shorten installation time from 180 minutes to 45 minutes (75)

2

2

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844226

DOI 101109IEA20188387141

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionThe case company is one of the glass manufacturers in Thailand who process the fundamentalfunctional building glass tempered and laminated glass for the architectural construction andinterior decoration The companys vision was stated to be the leader of glass innovation within2022 To be the leader of the glass innovation case company should focus on the continuousinnovative product development The mainly innovative product that had been sold for manyyears was the fabric glass as 52 52 and 47 in 2015 2016 and 2017 respectively

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Ploynaplus ThanasirithamDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

Natcha ThawesaengskulthaiDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

Prasert AkkharaprathomphongDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

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See the top organizations patenting intechnologies mentioned in this article

IEEE Account

raquo Change UsernamePassword

raquo Update Address

Purchase Details

raquo Payment Options

raquo Order History

raquo View Purchased Documents

Profile Information

raquo Communications Preferences

raquo Profession and Education

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Need Help

raquo US amp Canada +1 800 678 4333

raquo Worldwide +1 732 981 0060

raquo Contact amp Support

A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|

My Settings Get HelpBrowse Subscribe

Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance

During this time saved searches will not be editable We apologize for any inconvenience

Lenovo
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Institutional Sign In

IEEEorg IEEE Xplore Digital Library| IEEE-SA| IEEE Spectrum| More Sites| Cart (0) Create Account| Personal Sign In|

All Enter keywords or phrases (Note Searches metadata only by default A search for smart grid = smart AND grid)

Advanced Search | Other Search Options

Conferences gt 2018 5th International Confer

2 Author(s) Jingying Huang Liya Wang View All Authors

Makespan minimization on single batch-processing machine consideringpreventive maintenance

37FullText Views

Abstract

Document Sections

I Introduction

II Problem Description

III Batching Rule

IV Improved Heuristics

V ComputationalResults andDiscussions

Show Full Outline

Authors

Figures

References

Keywords

Metrics

Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

References

Keywords

Metrics

AbstractThis paper considers the problem of minimizing makespan on a single batch-processing machineconsidering preventive maintenance A mathematical model for integrating flexible preventivemaintenance into the batch-processing machine scheduling is proposed A two-stage method isproposed to solve the problem A batching rule considering maintenance is proposed to group jobsinto batches firstly And then we improve existing heuristics to schedule production and maintenanceComputational results indicate that the two-stage method based on proposed batching rule andimproved heuristics is effective

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844275

DOI 101109IEA20188387113

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionBPM (Batch processing machine) problem has attracted many researchers in recent years BPMis able to process a group of jobs as long as the number of jobs in the batch is less than or equalto the capacity of the machine To minimize total flow time Rui Xu [1] proposed an ant colonyalgorithm combined with the candidate list NR Parsa [2] proposed an algorithm using a hybridmax-min ant system AH Kashan [3] proposed a batch based hybrid genetic algorithm thatgenerates random batches of jobs and ensures feasibility To minimize total earliness andtardiness of the jobs NR Parsa [4] proposed a dynamic programming algorithm and severalheuristics BPM problem is practically applied in many manufacturing industries One of them issemiconductor wafer manufacturing industry BPM problem is applied in the furnace area in themanufacturing process of semiconductor wafers The machine is only shared by jobs requiringthe particular processing operation [5] That is in reality only semiconductor wafers with thesame kind of process can be grouped into a batch However the papers above did not take thisconstraint into consideration They assumed the jobs with different processing time can begrouped into the same batches Also the above papers did not consider about maintenancewhen grouping and scheduling jobs

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Jingying HuangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina

Liya WangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina

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Lenovo
Highlight

KEYNOTE AND INVITE SPEAKERS

Keynote Speech

Keynote Speech ndashI

Abstract of speech

Many products are designed to last longer than

the typical lifespan of human being Its thus a

challenge to validate the design life through

reliability tests even when testing is conducted

under much harsher environment Not only that

test duration is usually constrained but the

samples available for testing may also be costly

andor limited in quantity Statistically optimal

plans will allow for efficient use of testing

resources and yet derive the most information

from the test In this presentation we shall

discuss ideas related to designing test plans for

both constant stress and step stress ALT leading

to the statistical optimal plan for sequential ALT

While that of constant ALT is basically a Bayesian

approach that for the step stress ALT requires

solving a dynamic program using backward

induction For the latter optimal solutions are

only available for exponential lifetime and there

are rooms for further research

Loon Ching TANG

BIO Dr Loon Ching TANG is currently the Director of

Temasek Defence Systems Institute and Professor of

Department of Industrial Systems Engineering and

Management at the National University of Singapore

He obtained his PhD degree from Cornell University in

the field of Operations Research in 1992 and has

published extensively in areas related to industrial

engineering and operations research He has been

presented with a number of best paper awards

including the IIE Transactions 2010 Best Application

Paper Award and 2012 RA EvansPK McElroy Award

for the best paper at Annual RAMS Prof Tang is the

main author of the award-winning book Six Sigma

Advanced Tools for Black Belts and Master Black Belts

Besides being active in the forefront of academic

research in the last 25 years Prof Tang has served as

consultant for many organizations such as the

Ministry of Home Affair Singapore Power Republic of

Singapore Air Force Seagate HP Phillips etc on a

wide range of projects aiming at improving

organizational and operations efficiency especially

through better management of engineering assets He

is currently a fellow of ISEAM the Editor of Quality amp

Reliability Engineering International and an editorial

review board member of the flagship journal of ASQ

Journal of Quality Technology (since 2006) He has

served as the Region VP (Asia) of IIE (2013-16) and a

member of the advisory board of the Singapore

Innovation and Productivity Institute

Apr 26(Thu) 2018 1305-1350

Auditorium Room

ldquoPlanning Sequential Accelerated Life Testingrdquo

Prof Loon Ching TANG

National University of Singapore Singapore

Lenovo
Highlight

Keynote Speech ndashII

George ZHANG

BIO Professor Zhe George Zhang is a professor of

Management Science in the Department of Decision

Sciences at Western Washington University and a

professor of Operations Management in Beedie

School of Business at Simon Fraser University He is

also visiting professor of Sauder School of Business

at the University of British Columbia Dr Zhang

received his BS in Computer Science and MA in

Economics from Nankai University China his MBA

from the Schulich School of Business at York

University and his PhD in Operations research from

the University of Waterloo Professor Zhang has

published many papers in prestigious journals such

as Management Science Operations Research

Manufacturing amp Service Operations Management

Production and Operations Management IIE

Transactions IEEE Transactions Queueing Systems

Journal of Applied Probability Co-authored with

Professor Tian in 2006 he published the research

monograph Vacation Queueing Models - Theory

and Applications the first book on this particular

topic (now highly cited) Professor Zhangs research

interests include queueing theory and applications

and stochastic models for manufacturing and

service systems The main theme of his research is

to bridge the gap between theory and application

obtaining unobservable and sometimes

counter-intuitive but significantpractical

management insights via modeling and quantitative

analysis Currently he is particularly interested in

the quantitative and economic analysis of the

congestion problems in urbanmass transportation

networks healthmedical care systems and public

service systems with both customer service quality

and security concerns As an expert in data analysis

and quantitative modeling he has consulted in

industry and has given research seminars and short

lectures at leading universities around the world He

was invited to present plenary or keynote talks in

several international conferences Professor Zhang

is the one of Editor-in-Chiefs for new journal

Queueing Models and Service Management aan

associate editor of INFOR (Information Systems and

Operations Research) and is on the editorial board

of several international journals in Operations

Research and Management Science

Apr 26(Thu) 2018 1350-1435

Auditorium Room

ldquordquo

Prof George ZHANG

Western Washington University USA

Lenovo
Highlight

Keynote Speech ndashIII

Abstract of speech

The purpose of this paper is to investigate the

generalized age maintenance policies for a system

with random working times When the system fails

it is subject to one of two types of failures with

age-dependent probability type I failure can be

removed by minimal repair and type II failure must

be rectified by replacementA First the system is

preventively replaced before type II failure at time T

or at the completion of Nth working projects

whichever occurs first Two modified models where

the system is preventively replaced before type II

failure at time T or at the completion of Nth

working projects whichever occurs last and it is

preventively replaced at the first completion of the

working project over time T or at the completion of

Nth working projects whichever occurs first are

considered By introducing costs due to repairs

maintenance and replacement the expected cost

per unit time is derived as a criterion of optimality

and the optimal policy that minimizes that cost is

discussed analytically

Shey-Huei SHEU

BIO Professor Shey-Huei Sheu is a Chair Professor

of Department of Statistics and Informatics Science

at the Providence University He is an Honorary

Chair Professor of the Department of Industrial

Management at the National Taiwan University of

Science and Technology He received his MS

degree (1979) in applied mathematics from the

National Tsing Hua University and his PhD degree

(1987) in statistics from the University of Kentucky

He has published in journals such as Naval Research

Logistics Journal of Applied Probability RAIRO

Operations Research Microelectronics and

Reliability Reliability Engineering and System Safety

International Journal of Systems Science Quality

and Reliability Engineering International

International Journal of Reliability Quality and

Safety Engineering Journal of the Operational

Research Society European Journal of the

Operational Research Computers and Operation

Research Computers and Industrial Engineering

Quality Engineering Asia-Pacific Journal of the

Operational Research Communications in

Statistics-Theory and Methods Computers and

Mathematics with Applications Simulation

Modeling Practice and Theory Communications in

Statistics-Simulation and Computation Journal of

Statistical Computation and Simulation

International Journal of Production Economics

Quality Technology and Quantitative Management

The International Journal of Advanced

Manufacturing Technology Expert Systems

International Journal of Computer Mathematics

Journal of Applied Statistics Production Planning

and Control International Journal of Production

Research Applied Mathematical Modelling IEEE

Transactions on Reliability and Annals of

Operations Research

Apr 26(Thu) 2018 1435-1520

Auditorium Room

ldquoThe Generalized Age Maintenance Policies with

Random Working Timesrdquo

Prof Shey-Huei SHEU

Providence University Taiwan

Lenovo
Highlight

Keynote Speech ndashIV

Abstract of speech

IEEE 80211ah a specification belonging to 80211

wireless local area network (WLAN) protocol family

has been recently released to support the

long-range low-power and low-rate wireless

communication among smart devices used in

Internet of Thing (IoT) systems However security

requirements of the energy-constrained devices

have plenty of issues different from the traditional

wireless devices It requires that the lightweight

security protocols have to support low-power and

low-latency as well as the long-lasting features of

quantities of IoT devices The recently released IEEE

statndard IEEE 80211ai has specified a Fast Initial

Link Setup (FILS) which is a brand-new approach

aiming at establishing fast stable and secure links

among smart devices IEEE 80211ai could be applied

to other wireless systems such as the wireless

system of IEEE 80211ah with security

enhancements In this talk I would address the

secureity issues of IEEE 80211ai and IEEE 80211ah

with an new proposal to enhance the

authentication process in the link setup procedure

specified by IEEE 80211ai

Maode MA

BIO Dr Maode Ma is a Fellow of IET He received his

PhD degree in computer science from Hong Kong

University of Science and Technology in 1999 Now

Dr Ma is an Associate Professor in the School of

Electrical and Electronic Engineering at Nanyang

Technological University in Singapore He has

extensive research interests including network

security and wireless networking Dr Ma has about

350 international academic publications including

over 160 journal papers and about 190 conference

papers He has delivered over 50 keynote speeches

at various international conferences He has served

as various chairs for over 100 international

conferences He currently serves as the

Editor-in-Chief of International Journal of Computer

and Communication Engineering and International

Journal of Electronic Transport He also serves as a

Senior Editor or an Associate Editor for other 4

international academic journals Dr Ma is a Senior

Member of IEEE Communication Society and IEEE

Education Society and a Member of ACM He is the

Chair of the IEEE Education Society Singapore

Chapter and the Chair of the ACM Singapore

Chapter He has served as an IEEE Communication

Society Distinguished Lecturer from 2013-2016

Apr 26(Thu) 2018 1530-1615

Auditorium Room

ldquoEfficient and Secure Authentication Schemes for

IEEE 80211ah Networks rdquo

Prof Maode MA

Nanyang Technological University Singapore

Lenovo
Highlight

Keynote Speech ndashV

Abstract of speech

Stochastic aircraft routing (SAR) plays a critical role

in defining the routing plans of airlines which

include assigning the aircraft to flight legs and

determining the time and location of maintenance

to the aircraft Based on the routing plan specified

by the airlines the maintenance providers should

schedule their workforce to perform maintenance

operations by solving the maintenance staffing

problem (MSP) MSP helps maintenance providers

to build their staffing plans which include the

assignment of manpower to each aircraft so that

aircraft receive the required maintenance

operations as planned Practically for airlines the

routing plan will be interrupted (eg flight delays) if

an aircraft cannot be released from the

maintenance station punctually Similarly for

maintenance providers if an aircraft misses the

scheduled appointment at the maintenance station

this will also cause a huge interruption to their

staffing plan Therefore there is an interrelationship

between SAR and MSP In the literature the focus

of each problem has been traditionally considered

separately with only limited consideration of their

interrelationship In this paper we study SAR along

with MSP with the objective of investigating the

interrelationship between SAR and MSP For this

purpose we propose a coordinated configuration

of SAR and MSP that is formulated as a

leader-follower Stackelbery game in which SAR

acts as a leader and MSP acts as a follower This

game is enacted through a bi-level optimization

model which is solved by a bi-level nested ant

colony optimization (ACO) algorithm A case study

of a major airline and maintenance provider located

in the Middle East is presented to demonstrate the

feasibility and potential of the proposed model The

results demonstrate significant saving in the costs

of both companies

Felix TS CHAN

BIO Professor Felix T S Chan received his BSc

Degree in Mechanical Engineering from Brighton

Polytechnic (now University) UK and obtained his

MSc and PhD in Manufacturing Engineering from

the Imperial College of Science and Technology

University of London UK Professor Chan is now

working at the Department of Industrial and

Systems Engineering The Hong Kong Polytechnic

University and also serving as Associate Dean

(Research) at the Faculty of Engineering His current

research interests are Logistics and Supply Chain

Management Operations Management

Distribution Coordination Systems Modelling and

Simulation AI Optimisation To date he has

published 16 book chapters over 300 refereed

international journal papers and 250 peer reviewed

international conference papers h index= 30 under

the Web of Science He is a chartered member of

the Chartered Institute of Logistics and Transport in

Hong Kong According to a study lately published in

the International Journal of Production Research

(httpdxdoiorg1010800020754320151037935)

the study measured the research contributions over

a 26-year time frame (1985-2010) of academic

institutions and individual authors to the field of

Apr 26(Thu) 2018 1615-1700

Auditorium Room

ldquoInvestigating the Interrelationship between

Stochastic Aircraft Routing of Airlines and

Maintenance Staffing of Maintenance Providersrdquo

Prof Felix TS CHAN

The Hong Kong Polytechnic University Hong Kong

Lenovo
Highlight

Operations Management (OM) based on published

articles in 11 top-rated and well-known academic OM

journals Professor Chan was among the top 50

prolific authors list who have made the greatest

overall contribution to the field as measured by the

number of distributed and shared articles published

in the 11 designated journals Also Professor Chan

was Ranked No 3 in The top 100 authors as the

most productive researchers in the field of

Operations Management over the past 10 years

(2001-2010)

COMMITTEE

ICIEA 2018 Organizing Committee

International Advisory Committee

Zhe George Zhang Western Washington University USA

Conference Chairs

Felix T S Chan The Hong Kong Polytechnic University Hong Kong

Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan

Local Organizing Chair

TANG Loon Ching National University of Singapore Singapore

Organizing and Program Committees

Seoung Bum Kim School of Industrial Mangement Engineering Korea University

Usik Lee Inha University Korea

Maode Ma Nanyang Technological University Singapore

Finance Chair

Minghan Xi Dalian Maritime University China

International Technical Committees

Cheng-Feng HuNational Chiayi University Taiwan

Dong-Yuh YangNational Taipei University of Business Taiwan

Mario HirzGraz University of Technology Austria

Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt

Po-Hsiang Liu College of Business and Management in St Johns University USA

Taesu Cheong Korea University Korea

Tien-Lun Liu Chung Yuan Christian University Taiwan

Wei CaiWuhan University of Technology China

Jinguo Huang Huazhong University of Science and Technology China

Yu-Chung Tsao National Taiwan University of Science Technology Taiwan

Yip Mum WaiTunku Abdul Rahman University College Malaysia

Pule Kholopane University of Johannesburg South Africa

Bonivasius Prasetya Ichtiarto mercu buana university Indonesia

Elita Amrina Andalas University Indonesia

Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan

Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong

Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia

Lenovo
Highlight
Lenovo
Highlight
Lenovo
Highlight
Lenovo
Highlight

Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India

Byung Do Chung Yonsei University Korea

M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia

Sandeep Singhal National Institute of Technology India

J W Wang The University of Hong Kong Hong Kong

Ching-Chang Kuo National Taichung University of Science and Technology Taiwan

Kuo-Hsiung Wang Providence University Taiwan

ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia

Sangbok Lee Hansung University Korea

Adrian E Coronado Mondragon Royal Holloway University of London UK

Chin-I Lee Ling Tung University Taiwan

S H ChoiUniversity of Hong Kong Hong Kong

Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan

Wei Cai Wuhan University of Technology China

Hashibah Hamid Universiti Utara Malaysia Malaysia

TMA Ari Samadhi Bandung Institute of Technology Indonesia

Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia

Pi-Chun Hsu Chaoyang University of Technology Taiwan

Mu-Chen Chen National Chiao Tung University Taiwan

Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan

Tsu-Wei Yu Chaoyang University of Technology Taiwan

Lingyun Wei Beijing University of Posts and Telecommunications China

Hamdi Bashir University of sharjahUnited Arab Emirates

LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand

LIU Hai-peng Kunming University of Science and Technology China

Elfira Febriani Trisakti University Indonesia

Yu-Hsiang Hsiao National Taipei University Taiwan

Chien-Chih Wang Ming Chi University of Technology Taiwan

Atichart Harncharnchai Chiang Mai University Thailand

Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)

Switzerland

Bambang Suhardi Universitas Sebelas Maret Indonesia

Ssu Han Chen Ming Chi University of Technology Taiwan

Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia

Augustina Asih Rumanti Bandung Institute of Technology Indonesia

Maheshwar Dwivedy BML Munjal University India

Zhichuan Guan China university of petroleum (East China) China

Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia

Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia

Yenming J Chen National Kaohsiung University of Science and Technology Taiwan

Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia

TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand

Li Li Nanjing University of Science and Technology China

SERTIFIKAT

Page 6: Nilai Maksimal Prosiding - eprints.undip.ac.ideprints.undip.ac.id/70482/1/...of_GSCM_practice_peer_review_lengkap.pdf · discriminant function as Z= (0.238-IeM) + (0.602-GPU) + (1.161-CCO)

(2004) Illegal Logging and Global Wood Markets The Competitive Impacts on the US Wood ProductsIndustry American Forest amp Paper Association

Susanty A Santoso H Sari DP Parasayu SEffect of internal green supply chain practices on environmental performance of SMEs of wooden furnitureindustry(2017) Proc World Congress on Engineering 2017 2 July 5-7 London UK

Hamel G Prahalad CK

(1989) Harvard Business Review 67 (3) pp 63-76

Carter CR Ellram LMReverse logistics A review of the literature and framework for future investigation(1998) J Bus Logist 19 (1) pp 85-102

Min H Galle WP

(2001) International Journal of Operations and Production Management 21 (9) pp 1222-1238

doi 101108EUM0000000005923

Zsidisin GA Siferd SP

(2001) European Journal of Purchasing and Supply Management 7 (1) pp 61-73 doi 101016S0969-7012(00)00007-1

Green K Morton B New S

(1998) Supply Chain Management 3 (2) pp 89-95 doi 10110813598549810215405

Schlegelmilch BB Bohlen GM Diamantopoulos AThe link between green purchasing decisions and measures of environmental consciousness(1996) Eur J Mark 30 (5) pp 35-55

ElTayeb TK Zailani S Jayaraman K

(2010) Journal of Manufacturing Technology Management 21 (2) pp 206-225 doi 10110817410381011014378

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To revitalize corporate performance we need a whole new model of strategy Strategicintent

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Green purchasing practices of US firms

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Environmental purchasing A framework for theory development

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Green purchasing and supply policies Do they improve companies environmentalperformance

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The examination on the drivers for green purchasing adoption among EMS 14001certified companies in Malaysia

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Zhu Q Geng Y Lai K-H

(2010) Journal of Environmental Management 91 (6) pp 1324-1331 doi 101016jjenvman201002013

Diabat A Khodaverdi R Olfat L

(2013) International Journal of Advanced Manufacturing Technology 68 (1-4) pp 949-961 doi 101007s00170-013-4955-4

Laosirihongthong T Adebanjo D Choon Tan K

(2013) Industrial Management amp Data Systems 113 (8) pp 1088-1109 doi 101108IMDS-04-2013-0164

Zhu Q Sarkis J

(2006) Journal of Cleaner Production 14 (5) pp 472-486 doi 101016jjclepro200501003

Zhu Q Sarkis J

(2007) International Journal of Production Research 45 (18-19) pp 4333-4355 doi 10108000207540701440345

Johansson GSuccess factors for integration of ecodesign in product development A review of state of the art(2002) Environ Manage Health 13 (1) pp 98-107

Eltayeb TK Zailani SGoing green through green supply chain initiatives towards environmental sustainability(2009) Oper Supply Chain Manag 2 (2) pp 93-110

Lee SM Kim ST Choi D

(2012) Industrial Management amp Data Systems 112 (8) pp 1148-1180 doi 10110802635571211264609

22

Circular economy practices among Chinese manufacturers varying in environmental-oriented supply chain cooperation and the performance implications

Cited 118 times

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23

An exploration of green supply chain practices and performances in an automotiveindustry

Cited 70 times

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24

Green supply chain management practices and performance

Cited 85 times

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25

An inter-sectoral comparison of green supply chain management in China Driversand practices

Cited 470 times

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26

The moderating effects of institutional pressures on emergent green supply chainpractices and performance

Cited 455 times

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27

Cited 168 times

28

Cited 70 times

29

Green supply chain management and organizational performance

Cited 126 times

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10 of 38

Zailani SHM Eltayeb TK Hsu C-C Tan KC

(2012) International Journal of Operations and Production Management 32 (6) pp 721-745 doi 10110801443571211230943

Doshi K Sonawane S Sande K Doiphode SGreen Supply Chain Management Operation and Environmental Impact(2016) AADYA-Natl J Manag Technol (NJMT) 6 pp 81-89

Zsidisin GA Hendrick TE

(1998) Industrial Management and Data Systems 98 (7) pp 313-320

doi 10110802635579810241773

Zhu Q Geng Y Sarkis J Lai K-H

(2011) Transportation Research Part E Logistics and Transportation Review 47 (6) pp 808-821

doi 101016jtre201009013

Angel Latha Mary S Sivagami AN Usha Rani M

(2015) ARPN Journal of Engineering and Applied Sciences 10 (9) pp 4009-4012

Herremans IM Herschovis MS Bertels S

(2009) Journal of Business Ethics 89 (3) pp 449-472 doi 101007s10551-008-0010-z

Holt D Ghobadian A

(2009) Journal of Manufacturing Technology Management 20 (7) pp 933-956 doi 10110817410380910984212

copy Copyright 2018 Elsevier BV All rights reserved

30

The impact of external institutional drivers and internal strategy on environmentalperformance

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Purchasings involvement in environmental issues A multi-country perspective

Cited 120 timeshttpwwwemeraldinsightcominfojournalsimdsimdsjsp

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33

Evaluating green supply chain management among Chinese manufacturers from theecological modernization perspective

Cited 112timeswwwelseviercomincapublicationsstore600244

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34

Cluster validity measures dynamic clustering algorithms

Cited 11 timeshttpwwwarpnjournalscomjeasresearch_papersrp_2015jeas_0515_2043pdf

35

Leaders and laggards The influence of competing logics on corporate environmentalaction

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36

An empirical study of green supply chain management practices amongst UKmanufacturers

Cited 236 times

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COVER DAFTAR ISI DAN BUKTI PESERTA DARI EMPAT

NEGARA

2018 The 5th International

Conference on Industrial

Engineering and Applications

Technical Program

April 26-28 2018

Shaw Foundation Alumni House National University of Singapore

Singapore

wwwicieaorg

Sponsored by Assisted by

ICIEA

2018

iii

2018 5th International Conference on Industrial Engineering and Applications

ICIEA 2018Table of Contents

Decision Analysis and Methods

Towards a Decision Support Approach for Selecting Physical Objects in Collaborative Supply Chain Processes

for Cyber Physical System-Transformation 1

Endric Hetterscheid Florian Schluumlter

Decision Support System for Inventory Control of Raw Materialmdash(Case Study PT Suwarni Agro Mandiri Plant

Pariaman Indonesia) 6

Difana Meilani Amelia Andiningtias Dicky Fatrias

Integration AHP and TOPSIS in Shipyard Location Selection 11

Ali Parkhan Aldrin Daeng Vatimbing Imam Djati Widodo

E-Business and E-Commerce

Inventory Management in E-commerce Supply Chain with Lateral Transshipment and Quick Response17

Xueqing Yu Lingyun Wei

Impact of Recommender Systems on Unplanned Purchase Behaviours in e-Commerce 21

Zhang Ying Chen Caixia Gu Wen Liu Xiaogang

Evaluating and Analyzing the Effectiveness of Online Advertising31

Huini Zhou Li Li Xiaoguang Gu

Micro Enterprise and e-Commerce Platform Literature Review and Agenda for Future Research 38

Clara Linggaputri Isti Surjandari Akhmad Hidayatno

Prefacehelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellipxiii

Conference Committeeshelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellipxiv

iv

Global Manufacturing and Engineering Economics

Optimal Manufacturing Outsourcing Decision Based on the Degree of Manufacturing Process

Standardization49

PingYu Chang Thi Thanh Nhan Phan

A Functional Design of a Cost Benefit Analysis Methodology for Transport Infrastructure Projects54

Tiep Nguyen Stephen Cook Indra Gunawan

Demand Management Practices in the Manufacturing Industry An Empirical South African Perspective 60

Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa

Healthcare Systems and Management

A Study on Healthcare-product Supply Chain with a Group Purchasing Organization67

Yin Han Lingyun Wei

A Study on Shortage of Hospital Beds in the Philippines Using System Dynamics 72

Josephine D German John Karlo P Mintildea Claudine Mae N Alfonso Kang-Hung Yang

Research on Health Monitoring Mechanism Based on Service Invocation79

Xuan Mei Xinming Tan

Business Process Reengineering for the Saline Management in Hospitals84

Sith Vilasdechanon Apichat Sopadang

The Acceptance Model of Hospital Information Systems in Thailand A Conceptual Framework Extending

TAM89

Paneepan Sombat Wornchanok Chaiyasoonthorn Singha Chaveesuk

Human Factors

An Experimental Study to Investigate Personality Traits on Pair Programming Efficiency in Extreme

Programming 95

Ramlall Poonam Chuttur M Yasser

Intention of Opening Up the Network of Personal Data 100

Mao-Sung Chen Tung-Kuan Liu Ming-Tien Tsai

The Differences of Individual Spatial Strategy on Their Solving Performance 105

Sakulporn Pornpanom Arisara Jiamsanguanwong

v

Understanding the Model of User Satisfaction in Using Cloud Storage Systems of Employees in Thailand A

Conceptual Framework 110

Kulapa Najantong Singha Chaveesuk Wornchanok Chaiyasoonthorn

Evaluating Variables That Affect Job Satisfaction of Bank Customer Contact Centre Agents in South Africa

116

Eveth Nwobodo-Anyadiegwu Charles Mbohwa Nokukhanya Ndlovu

Information Processing and Engineering

Real-time Localization and Navigation in an Indoor Environment Using Monocular Camera for Visually

Impaired 122

Kruthika Ramesh Nagananda S N Hariharan Ramasangu Rohini Deshpande

Experiment and Optimization of Magnetostrictive for Long Time Operation to Find Amplitude of Vibration

and Thermal Limit 129

Nuttakorn Pukseesang Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa

Some Methods for Measuring the Efficiency of Firms Utilizing Different Technologies 134

Soobin Choi Jaedong Kim Hanjun Lee

Core Challenges to Cloud PLM Adoption in Large Manufacturing Firms 141

Shikha Singh Subhas Chandra Misra

Intelligent Systems

Visual and Hearing Detection Capabilities to Discriminate whether a UAV Invade a Campus Airspace 146

S J Chang K W Li

Reflections on Facilitating the Development of ldquoInternet Plusrdquo Intelligent Manufacturing in China 150

Yong Tao Gang Zhao Qiushi Li Wen Zhao

A Study of Small Complicated Axisymmetric Parts Manufacturing in Industry 40 158

Chengcheng Zhu Shengdun Zhao Shuaipeng Li

Voltage Stability in DC Micro Grid by Controlling Two Battery Units with Hybrid Network Systems 163

Adhi Kusmantoro Ardyono Priyadi Mauridhi Hery Purnomo

Design and Implementation of IoT Based Smart Laboratory 169

M Poongothai P Muthu Subramanian A Rajeswari

vi

Analysis of Microwave Precipitation in the Topographic Barrier for the Lifting Condensation Level of Clouds

Formation 174

Supawat Kotchapradit Thanaset Thosdeekoraphat Samran Santalunai Chanchai Thongsopa

Improved Efficiency of Insect Pest Control System by SSPA 179

Phanupong Saeung Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa

Manufacturing Systems

Optimized Information Exchange Process between CAD and CAMmdashEnhanced Data Exchange in the Field of

Joining Technology from the Viewpoint of an Automotive Supplier 184

Alexander Kreis Mario Hirz Severin Stadler

Efficiency Improvement of Door Frame Manufacturing Process in Wood Product Manufacturing Industry

189

Lerdlekha Sriratana

The Structural Design of 3D Print Head and Execution of Printing via the Robotic Arm ABB IRB 140 194

Martin Pollaacutek Jozef Toumlroumlk Jozef Zajac Marek Kočiško Monika Teliškovaacute

Micro-fabrication Method of Au Micro-wire Structures on Substrate by Chemical Printing and Peeling Process

199

Potejana Potejanasak

Evaluation of Thermal Comfort Room Garment Workshop in Textile Vocational School 203

Anastasia Febiyani Bambang Suhardi Eko Pujiyanto

Modular Measuring System for the Force Distribution in Forming Processes 208

W Zorn L Hamm R Elsner W G Drossel

Gravity Filling System of Slurry for Rod Mill Sand with High Concentration and Research on Technical

Transformation in Jinchuan Mine 214

Li Li-Tao Yang Zhi-Qiang Gao Qian Wang Yong-Ding

Defect Reduction in the Board Front Door Trim Manufacturing Process 220

Punyisa Kuendee

Operations Research

Integrated Railway Timetable Scheduling Optimization Model and Rescheduling Recovery Optimization

Model A Systematic Literature Review 226

Erlangga Bayu Setyawan Dida Diah Damayanti

vii

A Comparative Analysis about the Balance Design of the Assembly Line by Branching amp Bound Method and

Lingo Method 231

Jia Shuyuan Huang Li Li Qin Gu Yonghu

The Optimal Routes and Modes Selection in Multimodal Transportation Networks Based on Improved A

Algorithm 236

Yan Liu Lingyun Wei

Industrial Cluster Optimization Based on Linear Programming 241

Roberto Montemanni Jafar Jamal

Multi-objective Joint Optimization of Batch-discrete Hybrid Flow Shop Scheduling Integrated with Machine

Maintenance 247

Yangyang Fei Huimin Ma

Investigating the Interrelationship between Stochastic Aircraft Routing of Airlines and Maintenance Staffing

of Maintenance Providers 254

Felix T S Chan Abdelrahman E E Eltoukhy

An Modified Relax-and-fix Algorithm for the Multi-level Lot-sizing Problem with Replaceablility 262

Mingyuan Wei Yifei Yuan Canrong Zhang

Height-Based Heuristics for Relocating Containers during Loading Operations 268

Yifei Yuan Canrong Zhang Ting Huang

A Record-to-Record Travel Algorithm for Multi-product and Multi-period Inventory Routing Problem 274

Fadillah Ramadhan Arif Imran Afrin Fauzya Rizana

Developing Tabu Search with Intensification and Diversification for the Seriation Problem 279

Pimprapai Thainiam

A Comparative Study of Mixed-Integer Linear Programming and Genetic Algorithms for Solving Binary

Problems 284

Punyisa Kuendee Udom Janjarassuk

Production Planning and Control

Concurrent Optimization of Job Shop Scheduling and Dynamic and Flexible Facility Layout Planning 289

Ryota Kamoshida

Makespan Minimization on Single Batch-processing Machine Considering Preventive Maintenance 294

Jingying Huang Liya Wang

viii

Customer Kansei-Oriented Restaurant Location Evaluation Using Kansei Engineering 299

Yu-Hsiang Hsiao Guan-Ting Chen

An Improvement Scheme for the Overall Line Effectiveness of a Production Line A Case Study 304

Jieli Li Yuhui Jia Binbin Xu Fei Chen Zhaojun Yang Xiaodong Li

An Adjustment Method for Material Inventory Control Decision Considered in Product Life Cycle 310

Jiun-Shiung Lin Jen-Huei Chang i-Yan Yang

Application of a Hidden Markov Model for Consistency Checking of Process Plant Facility Tag NumbersmdashA

Case Study 314

Jayaram Sivaramakrishnan Gareth Lee

Analyzing Circadian Rhythms for Breaktime Schedulling on Night Shift Work 321

Lovely Lady Ansor Firdaus

Resource-Reconfigured Flow Shop Scheduling and Lot-Sizing Problems in Semiconductor Test 326

Yige Zhang Yuangen Lu Cangrong Zhang

Process Flow Improvement in Production of Noise Filter Products through Lean Manufacturing Technique

333

Rattarak Moonpragarn Rungchat Chompu-inwai

Waste Reduction in the Shoe Sewing Factory 340

Pongpat Phetrungrueng

The Joint Replenishment Problem with Resource Restriction A Note 345

M I M Wahab Y Chen

Aggregate Planning in Canned Pineapple Production Lines 349

Datepard Charoenponyarrat Tuanjai Somboonwiwat

Applications of Data Mining

A Research Study on Unsupervised Machine Learning Algorithms for Early Fault Detection in Predictive

Maintenance 355

Nagdev Amruthnath Tarun Gupta

The Analysis of Matching Learners in Pair Programming Using K-Means 362

Naladtaporn Aottiwerch Urachart Kokaew

Machine Learning Based Approach for Demand Forecasting Anti-aircraft Missiles 367

Jaedong Kim Hanjun Lee Soobin Choi

ix

Quality Control and product lifecycle Management

Simultaneous Prediction Interval-Based Multiobjective Solution Approach for Multiple Quality Characteristics

Optimization 373

Abhinav Kumar Sharma Indrajit Mukherjee

The TQM Integration in Procurement Function Performance 378

Bisalyaputra K

Safety Analysis at Weaving Department of PT X Bogor Using Failure Mode and Effect Analysis (FMEA) and

Fault Tree Analysis (FTA) 382

Prima Fithri Nidi Annisa Riva Lusi Susanti Berry Yuliandra

Success Determinants to Product Lifecycle Management (PLM) Performance 386

Shikha Singh Subhas Chandra Misra

Company Performance Measurement for Automobile Companies a Composite Indicator from an

Environmental Perspective 391

Qinqin Zeng Wouter W A Beelaerts van Blokland Sicco C Santema Gabriel Lodewijks

Loss Time Reduction for Improve Overall Equipment Effectiveness (OEE) 396

Kamolchanok Krachangchan Natcha Thawesaengskulthai

Service Innovation and Management

Estimating Diffusion of Technology Using User Perceptual Values A Conceptual Model 401

Chaudry Bilal Ahmad Khan

Implementation of Innovative Digitalization Methods in Reverse Engineering 406

Monika Teliškovaacute Martin Pollaacutek Jozef Toumlroumlk Jakub Kaščaacutek Petr Baron Viktoria Mezencevova

Topological Evolution of Public Transportation Network A Case Study of Bangkok Rail Transit Network 410

Pijaya Na Bangxang Pisit Jarumaneeroj

A Design of Automated Parking System for Shopping Centers in Metro Manila 415

Ma Janice J Gumasing Charles Aaron V Atienza

Design of an Ergonomic Classroom Chair and Desk for Preschool Students of Selected Public Schools in

Cabuyao City Laguna 420

Ezrha C Godilano Mark Kevin G Galang Hazel Elaine O Ramilo Kristian Roi F Velayo

Design of an Ergonomic Wheelbarrow to Reduce Physiological Demands of General Users 424

Ezrha C Godilano Karl Vincent Casas Aubrey Justine Vargas

x

Ergonomic Intervention Addressing Musculoskeletal Disorders among Poultry Layer Workers 429

Ma Janice J Gumasing Rex Aurelius C Robielos

Wristwatch Development Based on Kansei Engineering 435

Imam Djati Widodo Heavy Zerry Novibrilliawan

Innovative Product Development of Fabric Glass Interlayer 440

Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong

Systems Modeling and Simulation

A Simulation Study of Multi-dimensional Clearing Function Considering Degradation for Semiconductor

Manufacturing 448

Jianqiu Huang Jingying Huang Liya Wang

Productivity Improvement of Tapioca Packing Process through Simulation Modeling Analysis 453

Nara Samattapapong

Modelling the Barriers for Mass Adoption of Electric Vehicles in Indian Automotive Sector An Interpretive

Structural Modeling (ISM) Approach 458

Surya Prakash Sameer Sharma Poudel Maheshwar Dwivedy Dilesh Raj Shrestha

Diagnostics of the Wire Coating Production Line by Implementation of Computation Methods 463

Ivan Kuric Miroslav Cisar Ivan Zajacko Tomas Gal

District Model with Two Types of Vehicles for Transporting Sugarcane 468

Rujirat Patcharamethanon Kanchala Sudtachat

Experiment of Induction Heating Application for Heating Multilayer Metallic Hollow Altered Cylinder 475

Jakkarin Srituvanont Thanaset Thosdeekoraphat Chanchai Thongsopa Samran Santalunai

A Framework for Analyzing and Developing Dashboard Templates for Small and Medium Enterprises 479

Wasinee Noonpakdee Thitiporn Khunkornsiri Acharaphun Phothichai Kriangsak Danaisawat

An Economic Order Quantity Model with Continous Quantity Discount and Probabilistic Demand 484

Ardian Rizaldi Ashaeurizky Dilianaputri Fitri A Anugrah Riska Ummaya Senator Nur Bahagia

Technology and Knowledge Management

Analyzing Interdependencies in a Project Portfolio Using Social Network Analysis Metrics 490

Helal Al Zaabi Hamdi Bashir

Sentiment Analysis of Twitter Corpus Related to Artificial Intelligence Assistants 495

Chae Won Park Dae Ryong Seo

xi

Artificial Neural Neural Network Approach for Technology Life Cyle Construction on Patent Data 499

Muhammad Hanif Ramadhan Vialli Ibrahim Malik Teddy Sjafrizal

A Systematic Literature Review on Knowledge Sharing for Innovation Empirical Study Approach 504

Augustina Asih Rumanti T M A Ari Samadhi Iwan Inrawan Wiratmadja Indryati Sunaryo

Belief Representation of Design Mental Model Based on Design Rationale 510

Chen Ying Jing Shikai Wang Yedong Cheng Dada

Study on Teaching Methods of Fundamental Electrical Courses in Engineering Education 515

Jianpei Chen Fei Gao Lingling Kong Lin Cui

Supply Chain Management

Supply Chain Model for Renewable Energy Resource from Biomass in Vietnam 520

Duy Nguyen Duc Narameth Nananukul

Exploring the Implementation of Green Supply Chain with Cluster and Discriminant AnalysismdashCase Study

Furniture Industry at Central Java Semarang 526

Aries Susanty Diana Puspita Sari

Systematic Literature Review and Improved Model for Mitigating Bullwhip Effect in Low Shelf Life Food

Supply Chain 531

Nia Novitasari Dida Diah Damayanti

Supply Chain Management Performance and Partial Least Square-Structural Equation Model An application

to Thai Tourism Supply Chain 536

Daraka Palang Korrakot Yaibuathet Tippayawong

An Economic Competitiveness Analysis of Power Generation Plants 543

Ndala Yves Mulongo Pule Kholopane

Supplier Selection Considering Sustainablitity Criteria by Using A Hybrid Evaluation Method in Printing

Business 548

Onsiree Mananawigapol Chorkaew Jaturanonda Tuanjai Somboonwiwat

Barriers and Drivers of eBIZ Adoption in the Fashion Supply Chain Preliminary Results 555

Bianca Bindi Virginia Fani Romeo Bandinelli Gilda Massa Gessica Ciaccio Arianna Brutti Piero De

Sabbata

A Simulation Analysis on Regional Logistics Development Based on System Dynamics The Case of Yunnan

Province 560

Yinyuan Si Wensheng Yang Huini Zhou

Lenovo
Highlight

xii

A Sustainability Assessment of Electricity Supply Systems 565

Ndala Yves Mulongo Pule Kholopane

Author Index

1040-1210 Friday 27 Apr

Session B-2 Supply Chain Management Venue Lemongrass Room

Chair

N066

Time 1040-1055

A study on Healthcare-product Supply Chain with a group purchasing organization Ms Yin Han Lingyun Wei Beijing University of posts and telecommunications Beijing China

In order to better understand the impact of group purchasing organization (GPO) on healthcare-product supply chain we build a supply chain model consisting of one manufacturer one competitive source one group purchasing organization(GPO) and n healthcare providers for a single product Providers may purchase from any source for minimizing their total costs Through considering different providersrsquo demands power schemes and revenue sharing between GPO and providers we analyze the performance of supply chain and its members under various situations Numerical examples show some interesting findings (1) When GPO dominates the supply chain GPO can obtain more profits (2)When manufacturer dominates the supply chain and GPO shares its revenue with providers there exists specific revenue sharing rates which increase GPOrsquos profits and reduce providersrsquo cost (3) Manufacturer always can achieve a same optimal profit by changing quantity discount rate when GPO dominates supply chain and shares its revenue with providers

N108

Time 1055-1110

Exploring the Implementation of Green Supply Chain with Cluster and Discriminant Analysis Case Study Furniture Industry at Central Java Semarang Dr Aries Susanty Diana Puspitasari Diponegoro Univeristy Indonesia This study has two objectives First this study aims to categorize the level of the implementation of Green Supply Chain Management (GSCM) practice among Small and Medium Enterprises (SMEs) of wooden furniture in several clusters Second this study aims to find the linear combination of five dimensions of GSCM practices that will discriminate best between prior defined clusters The study used primary data through questionnaires enclosed with the Likert scale 1-5 at 162 SMEs of wooden furniture located in Surakarta Jepara Semarang and Kudus The raw data level of implementation of five dimensions of GSCM practice is analyzed using K-Means cluster and discriminant analysis with the aid of the Statistical Package for the Social Sciences (SPSS) software The result of K-Means cluster analysis indicated that a two-cluster is the optimal number of a group for separating the data of the level of implementation of GSSM practice among SMEs of wooden furniture and the two clusters founded in this research are labeled as early adopter and laggards Then the result of the discriminant analysis indicated that as high as 9877 of the SMEs of wooden furniture was classified correctly The result of discriminant analysis also revealed the discriminant function as Z= (0238IEM) + (0602GPU) + (1161CCO) + (1128ECO) + (1126IRE) - 13124 and the threshold for evaluating a discriminant score of

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Conferences gt 2018 5th International Confer

3 Author(s) Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa View All Authors

Demand management practices in the manufacturing industry An empiricalSouth African perspective

38FullText Views

Abstract

Document Sections

I Introduction

II Literature Review

III Methodology

IV Resultsampinterpretations

V Conclusion

Authors

Figures

References

Keywords

Metrics

Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

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Keywords

Metrics

AbstractThis paper aims to identify and explore Demand Management (DM) practices used within the SouthAfrican Manufacturing industry The study followed a qualitative design approach in order to identifythe relationship between DM methods such as forecasting and the best practices used by therespondents Therefore a purposive sampling technique was used whereby a questionnaire was sentout via email to 15 manufacturing companies before meeting them for a face to face interviewconducted in two weeks Respondents varied from different industries such as automotive wood andpaper chemical food and beverage etc The results demonstrated that although the respondents areaware of the best practices for a good DM system they generally do not apply them entirely becauseof factors like fear of implementing change and failure to quickly adapt themselves to the change thatwould come with those best practices In addition the results also revealed that forecasting is themost used DM method by the respondents and a simple forecasting average is used to predict futuredemand Depending on the company the forecast is done either by a team or by functional areas

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844216

DOI 101109IEA20188387071

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionThe importance of satisfying the customer by meeting the demand has long been recognized bymanagers as crucial to making the organization successful However numerous problems occurand many factors need to be considered in order to give the customer what they want how theywant it as well as where and when they want it Failure to understand crucial characteristics ofdemand will result in supply shortage or excessive stock that will place serious financial burdenson the organization subsequently leading to a loss of market share and customers

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Eric Bakama MikobiDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

Eveth Nwobodo-AnyadiegwuDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

Charles MbohwaDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

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An integrative framework of knowledgemanagement enabled supply chainmanagement2008 IEEE International Conference onIndustrial Engineering and EngineeringManagementPublished 2008

An empirical approach for the application ofknowledge management on downstream supplychain management of Indian public sector oilcompanies2017 Fourteenth International Conference onWireless and Optical Communications Networks(WOCN)Published 2017

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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|

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Conferences gt 2018 5th International Confer

2 Author(s) Shikha Singh Subhas Chandra Misra View All Authors

Core challenges to cloud PLM adoption in large manufacturing firms

60FullText Views

Abstract

Document Sections

I Introduction

II Literature Review

III ResearchMethodology

IV Case Study and DataAnalysis

V Result and Discussion

Show Full Outline

Authors

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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

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Metrics

AbstractAs the globalization is at its peak and innovative products are at high demand firms are forced to workin a collaborative manner The product data must be lively available to all the collaborated partnersAlthough on-premise Product Lifecycle Management (PLM) systems are offering the collaborationsand product data management throughout the products lifecycle the Internet of Things (IoT) eraoffers more connectivity at a lesser cost Though most large manufacturing firms have established theon-premise PLM systems yet face some difficulties related to maintenance and upgradations of in-house information technology (IT) infrastructure Hence cloud PLM is under consideration foradoption among many large manufacturing firms However there are several challenges associatedwith cloud PLM adoption decision This work intends to find out the challenges which largemanufacturing firms face while deciding to adopt cloud PLM The empirical investigations have beenattempted to find out the relations among the challenges faced and to provide the guideline on how tofind out the core challenges which needs to be attended before adopting cloud PLM in largemanufacturing firms

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844276

DOI 101109IEA20188387085

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionProduct lifecycle management (PLM) systems are the IT tools [1] which support the PLMbusiness concept [2] to manage the whole lifecycle of a product in firms PLM systems help totransform the organizations into digitized era and make them technologically robust by giving a3D product designing and virtual manufacturing opportunity [3] PLM systems help in substantialcost savings by reducing the real manufacturing efforts Product-related knowledge must need tobe preserved so that it can help in the other phases of product lifecycle such as repair overhaulreuse recycle and or disposal of the product Increasing number of enterprise informationsystems stakeholders and product related information demand the need for a managementapproach which makes the managers capable of managing all the dispersed product informationat one common repository for reuse

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Shikha SinghDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India

Subhas Chandra MisraDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India

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The automation of the technological processesin the Manufacturing Internet of Things contextfor the pharmaceutical enterprises2018 IEEE 9th International Conference onDependable Systems Services andTechnologies (DESSERT)Published 2018

Integration of ERP and Internet of Things inIntelligent Enterprise Management2018 1st International Cognitive CitiesConference (IC3)Published 2018

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See the top organizations patenting intechnologies mentioned in this article

IEEE Account

raquo Change UsernamePassword

raquo Update Address

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raquo Payment Options

raquo Order History

raquo View Purchased Documents

Profile Information

raquo Communications Preferences

raquo Profession and Education

raquo Technical Interests

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raquo US amp Canada +1 800 678 4333

raquo Worldwide +1 732 981 0060

raquo Contact amp Support

A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|

My Settings Get HelpBrowse Subscribe

Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance

During this time saved searches will not be editable We apologize for any inconvenience

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All Enter keywords or phrases (Note Searches metadata only by default A search for smart grid = smart AND grid)

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Conferences gt 2018 5th International Confer

3 Author(s) Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong View All Authors

Innovative product development of fabric glass interlayer

39FullText Views

Abstract

Document Sections

I Introduction

II Methodology

III Conclusion

Authors

Figures

References

Keywords

MetricsPublished in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

References

Keywords

Metrics

AbstractA glass manufacturer in Thailand developed the laminated fabric glass as innovative product in 2013but sales had declined in 2016 Customers survey shows that the satisfaction level decreased due tolong production lead time high-selling price and long installation time This paper aims to develop anew innovative fabric glass interlayer product by adopting 5D innovation development process 5Dconsists of Discover Define Design Develop and Deploy Firstly discover phase adopted Five ForcesAnalysis Customer Behavior Analysis and Customers Satisfaction Survey for specifying marketposition and seeking the hidden customers expectations Define is to summarize the project charteras initiation step in the project management and to scope resources and timeframe Design weadopted the integration of QFD Kano Model and Product Quality Index for prioritizing and translatingcustomer expectations to product specifications Then all concepts were concluded by Pugh MatrixWeighted Sum Score and confirmed the selected concept by financial feasibility study Developprocess is to prototyping to verify the production before scale up Finally generated the riskassessment plan by FMEA and contributed the business plan to ensure the effectivecommercialization in Deploy The developed fabric glass interlayer shows higher customer satisfactionlevel by shorten production lead time from 14 days to 8 days (4285) lower price from 790 bahtft to 485 bahtft (3861) and shorten installation time from 180 minutes to 45 minutes (75)

2

2

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844226

DOI 101109IEA20188387141

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionThe case company is one of the glass manufacturers in Thailand who process the fundamentalfunctional building glass tempered and laminated glass for the architectural construction andinterior decoration The companys vision was stated to be the leader of glass innovation within2022 To be the leader of the glass innovation case company should focus on the continuousinnovative product development The mainly innovative product that had been sold for manyyears was the fabric glass as 52 52 and 47 in 2015 2016 and 2017 respectively

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Ploynaplus ThanasirithamDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

Natcha ThawesaengskulthaiDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

Prasert AkkharaprathomphongDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

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Study of a Customer Satisfaction-OrientedModel for Outsourcing Software QualityManagement Using Quality FunctionDeployment (QFD)2008 4th International Conference on WirelessCommunications Networking and MobileComputingPublished 2008

Fuzzy Eco-Design Product Development byUsing Quality Function Deployment2005 4th International Symposium onEnvironmentally Conscious Design and InverseManufacturingPublished 2005

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See the top organizations patenting intechnologies mentioned in this article

IEEE Account

raquo Change UsernamePassword

raquo Update Address

Purchase Details

raquo Payment Options

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raquo View Purchased Documents

Profile Information

raquo Communications Preferences

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Need Help

raquo US amp Canada +1 800 678 4333

raquo Worldwide +1 732 981 0060

raquo Contact amp Support

A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|

My Settings Get HelpBrowse Subscribe

Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance

During this time saved searches will not be editable We apologize for any inconvenience

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IEEEorg IEEE Xplore Digital Library| IEEE-SA| IEEE Spectrum| More Sites| Cart (0) Create Account| Personal Sign In|

All Enter keywords or phrases (Note Searches metadata only by default A search for smart grid = smart AND grid)

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Conferences gt 2018 5th International Confer

2 Author(s) Jingying Huang Liya Wang View All Authors

Makespan minimization on single batch-processing machine consideringpreventive maintenance

37FullText Views

Abstract

Document Sections

I Introduction

II Problem Description

III Batching Rule

IV Improved Heuristics

V ComputationalResults andDiscussions

Show Full Outline

Authors

Figures

References

Keywords

Metrics

Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

References

Keywords

Metrics

AbstractThis paper considers the problem of minimizing makespan on a single batch-processing machineconsidering preventive maintenance A mathematical model for integrating flexible preventivemaintenance into the batch-processing machine scheduling is proposed A two-stage method isproposed to solve the problem A batching rule considering maintenance is proposed to group jobsinto batches firstly And then we improve existing heuristics to schedule production and maintenanceComputational results indicate that the two-stage method based on proposed batching rule andimproved heuristics is effective

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844275

DOI 101109IEA20188387113

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionBPM (Batch processing machine) problem has attracted many researchers in recent years BPMis able to process a group of jobs as long as the number of jobs in the batch is less than or equalto the capacity of the machine To minimize total flow time Rui Xu [1] proposed an ant colonyalgorithm combined with the candidate list NR Parsa [2] proposed an algorithm using a hybridmax-min ant system AH Kashan [3] proposed a batch based hybrid genetic algorithm thatgenerates random batches of jobs and ensures feasibility To minimize total earliness andtardiness of the jobs NR Parsa [4] proposed a dynamic programming algorithm and severalheuristics BPM problem is practically applied in many manufacturing industries One of them issemiconductor wafer manufacturing industry BPM problem is applied in the furnace area in themanufacturing process of semiconductor wafers The machine is only shared by jobs requiringthe particular processing operation [5] That is in reality only semiconductor wafers with thesame kind of process can be grouped into a batch However the papers above did not take thisconstraint into consideration They assumed the jobs with different processing time can begrouped into the same batches Also the above papers did not consider about maintenancewhen grouping and scheduling jobs

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Jingying HuangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina

Liya WangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina

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ACO-based Parallel Machine SchedulingConsidering Both Setup Time and Run-basedPreventive Maintenance with ReliabilityConstraints2018 IEEE International Conference onIndustrial Engineering and EngineeringManagement (IEEM)Published 2018

MSPT2 Heuristic and Dynamic ProgrammingMethod for the Parallel Machine SchedulingProblem with scheduled PreventiveMaintenance2006 International Conference on ServiceSystems and Service ManagementPublished 2006

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Lenovo
Highlight

KEYNOTE AND INVITE SPEAKERS

Keynote Speech

Keynote Speech ndashI

Abstract of speech

Many products are designed to last longer than

the typical lifespan of human being Its thus a

challenge to validate the design life through

reliability tests even when testing is conducted

under much harsher environment Not only that

test duration is usually constrained but the

samples available for testing may also be costly

andor limited in quantity Statistically optimal

plans will allow for efficient use of testing

resources and yet derive the most information

from the test In this presentation we shall

discuss ideas related to designing test plans for

both constant stress and step stress ALT leading

to the statistical optimal plan for sequential ALT

While that of constant ALT is basically a Bayesian

approach that for the step stress ALT requires

solving a dynamic program using backward

induction For the latter optimal solutions are

only available for exponential lifetime and there

are rooms for further research

Loon Ching TANG

BIO Dr Loon Ching TANG is currently the Director of

Temasek Defence Systems Institute and Professor of

Department of Industrial Systems Engineering and

Management at the National University of Singapore

He obtained his PhD degree from Cornell University in

the field of Operations Research in 1992 and has

published extensively in areas related to industrial

engineering and operations research He has been

presented with a number of best paper awards

including the IIE Transactions 2010 Best Application

Paper Award and 2012 RA EvansPK McElroy Award

for the best paper at Annual RAMS Prof Tang is the

main author of the award-winning book Six Sigma

Advanced Tools for Black Belts and Master Black Belts

Besides being active in the forefront of academic

research in the last 25 years Prof Tang has served as

consultant for many organizations such as the

Ministry of Home Affair Singapore Power Republic of

Singapore Air Force Seagate HP Phillips etc on a

wide range of projects aiming at improving

organizational and operations efficiency especially

through better management of engineering assets He

is currently a fellow of ISEAM the Editor of Quality amp

Reliability Engineering International and an editorial

review board member of the flagship journal of ASQ

Journal of Quality Technology (since 2006) He has

served as the Region VP (Asia) of IIE (2013-16) and a

member of the advisory board of the Singapore

Innovation and Productivity Institute

Apr 26(Thu) 2018 1305-1350

Auditorium Room

ldquoPlanning Sequential Accelerated Life Testingrdquo

Prof Loon Ching TANG

National University of Singapore Singapore

Lenovo
Highlight

Keynote Speech ndashII

George ZHANG

BIO Professor Zhe George Zhang is a professor of

Management Science in the Department of Decision

Sciences at Western Washington University and a

professor of Operations Management in Beedie

School of Business at Simon Fraser University He is

also visiting professor of Sauder School of Business

at the University of British Columbia Dr Zhang

received his BS in Computer Science and MA in

Economics from Nankai University China his MBA

from the Schulich School of Business at York

University and his PhD in Operations research from

the University of Waterloo Professor Zhang has

published many papers in prestigious journals such

as Management Science Operations Research

Manufacturing amp Service Operations Management

Production and Operations Management IIE

Transactions IEEE Transactions Queueing Systems

Journal of Applied Probability Co-authored with

Professor Tian in 2006 he published the research

monograph Vacation Queueing Models - Theory

and Applications the first book on this particular

topic (now highly cited) Professor Zhangs research

interests include queueing theory and applications

and stochastic models for manufacturing and

service systems The main theme of his research is

to bridge the gap between theory and application

obtaining unobservable and sometimes

counter-intuitive but significantpractical

management insights via modeling and quantitative

analysis Currently he is particularly interested in

the quantitative and economic analysis of the

congestion problems in urbanmass transportation

networks healthmedical care systems and public

service systems with both customer service quality

and security concerns As an expert in data analysis

and quantitative modeling he has consulted in

industry and has given research seminars and short

lectures at leading universities around the world He

was invited to present plenary or keynote talks in

several international conferences Professor Zhang

is the one of Editor-in-Chiefs for new journal

Queueing Models and Service Management aan

associate editor of INFOR (Information Systems and

Operations Research) and is on the editorial board

of several international journals in Operations

Research and Management Science

Apr 26(Thu) 2018 1350-1435

Auditorium Room

ldquordquo

Prof George ZHANG

Western Washington University USA

Lenovo
Highlight

Keynote Speech ndashIII

Abstract of speech

The purpose of this paper is to investigate the

generalized age maintenance policies for a system

with random working times When the system fails

it is subject to one of two types of failures with

age-dependent probability type I failure can be

removed by minimal repair and type II failure must

be rectified by replacementA First the system is

preventively replaced before type II failure at time T

or at the completion of Nth working projects

whichever occurs first Two modified models where

the system is preventively replaced before type II

failure at time T or at the completion of Nth

working projects whichever occurs last and it is

preventively replaced at the first completion of the

working project over time T or at the completion of

Nth working projects whichever occurs first are

considered By introducing costs due to repairs

maintenance and replacement the expected cost

per unit time is derived as a criterion of optimality

and the optimal policy that minimizes that cost is

discussed analytically

Shey-Huei SHEU

BIO Professor Shey-Huei Sheu is a Chair Professor

of Department of Statistics and Informatics Science

at the Providence University He is an Honorary

Chair Professor of the Department of Industrial

Management at the National Taiwan University of

Science and Technology He received his MS

degree (1979) in applied mathematics from the

National Tsing Hua University and his PhD degree

(1987) in statistics from the University of Kentucky

He has published in journals such as Naval Research

Logistics Journal of Applied Probability RAIRO

Operations Research Microelectronics and

Reliability Reliability Engineering and System Safety

International Journal of Systems Science Quality

and Reliability Engineering International

International Journal of Reliability Quality and

Safety Engineering Journal of the Operational

Research Society European Journal of the

Operational Research Computers and Operation

Research Computers and Industrial Engineering

Quality Engineering Asia-Pacific Journal of the

Operational Research Communications in

Statistics-Theory and Methods Computers and

Mathematics with Applications Simulation

Modeling Practice and Theory Communications in

Statistics-Simulation and Computation Journal of

Statistical Computation and Simulation

International Journal of Production Economics

Quality Technology and Quantitative Management

The International Journal of Advanced

Manufacturing Technology Expert Systems

International Journal of Computer Mathematics

Journal of Applied Statistics Production Planning

and Control International Journal of Production

Research Applied Mathematical Modelling IEEE

Transactions on Reliability and Annals of

Operations Research

Apr 26(Thu) 2018 1435-1520

Auditorium Room

ldquoThe Generalized Age Maintenance Policies with

Random Working Timesrdquo

Prof Shey-Huei SHEU

Providence University Taiwan

Lenovo
Highlight

Keynote Speech ndashIV

Abstract of speech

IEEE 80211ah a specification belonging to 80211

wireless local area network (WLAN) protocol family

has been recently released to support the

long-range low-power and low-rate wireless

communication among smart devices used in

Internet of Thing (IoT) systems However security

requirements of the energy-constrained devices

have plenty of issues different from the traditional

wireless devices It requires that the lightweight

security protocols have to support low-power and

low-latency as well as the long-lasting features of

quantities of IoT devices The recently released IEEE

statndard IEEE 80211ai has specified a Fast Initial

Link Setup (FILS) which is a brand-new approach

aiming at establishing fast stable and secure links

among smart devices IEEE 80211ai could be applied

to other wireless systems such as the wireless

system of IEEE 80211ah with security

enhancements In this talk I would address the

secureity issues of IEEE 80211ai and IEEE 80211ah

with an new proposal to enhance the

authentication process in the link setup procedure

specified by IEEE 80211ai

Maode MA

BIO Dr Maode Ma is a Fellow of IET He received his

PhD degree in computer science from Hong Kong

University of Science and Technology in 1999 Now

Dr Ma is an Associate Professor in the School of

Electrical and Electronic Engineering at Nanyang

Technological University in Singapore He has

extensive research interests including network

security and wireless networking Dr Ma has about

350 international academic publications including

over 160 journal papers and about 190 conference

papers He has delivered over 50 keynote speeches

at various international conferences He has served

as various chairs for over 100 international

conferences He currently serves as the

Editor-in-Chief of International Journal of Computer

and Communication Engineering and International

Journal of Electronic Transport He also serves as a

Senior Editor or an Associate Editor for other 4

international academic journals Dr Ma is a Senior

Member of IEEE Communication Society and IEEE

Education Society and a Member of ACM He is the

Chair of the IEEE Education Society Singapore

Chapter and the Chair of the ACM Singapore

Chapter He has served as an IEEE Communication

Society Distinguished Lecturer from 2013-2016

Apr 26(Thu) 2018 1530-1615

Auditorium Room

ldquoEfficient and Secure Authentication Schemes for

IEEE 80211ah Networks rdquo

Prof Maode MA

Nanyang Technological University Singapore

Lenovo
Highlight

Keynote Speech ndashV

Abstract of speech

Stochastic aircraft routing (SAR) plays a critical role

in defining the routing plans of airlines which

include assigning the aircraft to flight legs and

determining the time and location of maintenance

to the aircraft Based on the routing plan specified

by the airlines the maintenance providers should

schedule their workforce to perform maintenance

operations by solving the maintenance staffing

problem (MSP) MSP helps maintenance providers

to build their staffing plans which include the

assignment of manpower to each aircraft so that

aircraft receive the required maintenance

operations as planned Practically for airlines the

routing plan will be interrupted (eg flight delays) if

an aircraft cannot be released from the

maintenance station punctually Similarly for

maintenance providers if an aircraft misses the

scheduled appointment at the maintenance station

this will also cause a huge interruption to their

staffing plan Therefore there is an interrelationship

between SAR and MSP In the literature the focus

of each problem has been traditionally considered

separately with only limited consideration of their

interrelationship In this paper we study SAR along

with MSP with the objective of investigating the

interrelationship between SAR and MSP For this

purpose we propose a coordinated configuration

of SAR and MSP that is formulated as a

leader-follower Stackelbery game in which SAR

acts as a leader and MSP acts as a follower This

game is enacted through a bi-level optimization

model which is solved by a bi-level nested ant

colony optimization (ACO) algorithm A case study

of a major airline and maintenance provider located

in the Middle East is presented to demonstrate the

feasibility and potential of the proposed model The

results demonstrate significant saving in the costs

of both companies

Felix TS CHAN

BIO Professor Felix T S Chan received his BSc

Degree in Mechanical Engineering from Brighton

Polytechnic (now University) UK and obtained his

MSc and PhD in Manufacturing Engineering from

the Imperial College of Science and Technology

University of London UK Professor Chan is now

working at the Department of Industrial and

Systems Engineering The Hong Kong Polytechnic

University and also serving as Associate Dean

(Research) at the Faculty of Engineering His current

research interests are Logistics and Supply Chain

Management Operations Management

Distribution Coordination Systems Modelling and

Simulation AI Optimisation To date he has

published 16 book chapters over 300 refereed

international journal papers and 250 peer reviewed

international conference papers h index= 30 under

the Web of Science He is a chartered member of

the Chartered Institute of Logistics and Transport in

Hong Kong According to a study lately published in

the International Journal of Production Research

(httpdxdoiorg1010800020754320151037935)

the study measured the research contributions over

a 26-year time frame (1985-2010) of academic

institutions and individual authors to the field of

Apr 26(Thu) 2018 1615-1700

Auditorium Room

ldquoInvestigating the Interrelationship between

Stochastic Aircraft Routing of Airlines and

Maintenance Staffing of Maintenance Providersrdquo

Prof Felix TS CHAN

The Hong Kong Polytechnic University Hong Kong

Lenovo
Highlight

Operations Management (OM) based on published

articles in 11 top-rated and well-known academic OM

journals Professor Chan was among the top 50

prolific authors list who have made the greatest

overall contribution to the field as measured by the

number of distributed and shared articles published

in the 11 designated journals Also Professor Chan

was Ranked No 3 in The top 100 authors as the

most productive researchers in the field of

Operations Management over the past 10 years

(2001-2010)

COMMITTEE

ICIEA 2018 Organizing Committee

International Advisory Committee

Zhe George Zhang Western Washington University USA

Conference Chairs

Felix T S Chan The Hong Kong Polytechnic University Hong Kong

Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan

Local Organizing Chair

TANG Loon Ching National University of Singapore Singapore

Organizing and Program Committees

Seoung Bum Kim School of Industrial Mangement Engineering Korea University

Usik Lee Inha University Korea

Maode Ma Nanyang Technological University Singapore

Finance Chair

Minghan Xi Dalian Maritime University China

International Technical Committees

Cheng-Feng HuNational Chiayi University Taiwan

Dong-Yuh YangNational Taipei University of Business Taiwan

Mario HirzGraz University of Technology Austria

Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt

Po-Hsiang Liu College of Business and Management in St Johns University USA

Taesu Cheong Korea University Korea

Tien-Lun Liu Chung Yuan Christian University Taiwan

Wei CaiWuhan University of Technology China

Jinguo Huang Huazhong University of Science and Technology China

Yu-Chung Tsao National Taiwan University of Science Technology Taiwan

Yip Mum WaiTunku Abdul Rahman University College Malaysia

Pule Kholopane University of Johannesburg South Africa

Bonivasius Prasetya Ichtiarto mercu buana university Indonesia

Elita Amrina Andalas University Indonesia

Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan

Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong

Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia

Lenovo
Highlight
Lenovo
Highlight
Lenovo
Highlight
Lenovo
Highlight

Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India

Byung Do Chung Yonsei University Korea

M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia

Sandeep Singhal National Institute of Technology India

J W Wang The University of Hong Kong Hong Kong

Ching-Chang Kuo National Taichung University of Science and Technology Taiwan

Kuo-Hsiung Wang Providence University Taiwan

ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia

Sangbok Lee Hansung University Korea

Adrian E Coronado Mondragon Royal Holloway University of London UK

Chin-I Lee Ling Tung University Taiwan

S H ChoiUniversity of Hong Kong Hong Kong

Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan

Wei Cai Wuhan University of Technology China

Hashibah Hamid Universiti Utara Malaysia Malaysia

TMA Ari Samadhi Bandung Institute of Technology Indonesia

Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia

Pi-Chun Hsu Chaoyang University of Technology Taiwan

Mu-Chen Chen National Chiao Tung University Taiwan

Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan

Tsu-Wei Yu Chaoyang University of Technology Taiwan

Lingyun Wei Beijing University of Posts and Telecommunications China

Hamdi Bashir University of sharjahUnited Arab Emirates

LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand

LIU Hai-peng Kunming University of Science and Technology China

Elfira Febriani Trisakti University Indonesia

Yu-Hsiang Hsiao National Taipei University Taiwan

Chien-Chih Wang Ming Chi University of Technology Taiwan

Atichart Harncharnchai Chiang Mai University Thailand

Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)

Switzerland

Bambang Suhardi Universitas Sebelas Maret Indonesia

Ssu Han Chen Ming Chi University of Technology Taiwan

Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia

Augustina Asih Rumanti Bandung Institute of Technology Indonesia

Maheshwar Dwivedy BML Munjal University India

Zhichuan Guan China university of petroleum (East China) China

Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia

Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia

Yenming J Chen National Kaohsiung University of Science and Technology Taiwan

Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia

TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand

Li Li Nanjing University of Science and Technology China

SERTIFIKAT

Page 7: Nilai Maksimal Prosiding - eprints.undip.ac.ideprints.undip.ac.id/70482/1/...of_GSCM_practice_peer_review_lengkap.pdf · discriminant function as Z= (0.238-IeM) + (0.602-GPU) + (1.161-CCO)

Zhu Q Geng Y Lai K-H

(2010) Journal of Environmental Management 91 (6) pp 1324-1331 doi 101016jjenvman201002013

Diabat A Khodaverdi R Olfat L

(2013) International Journal of Advanced Manufacturing Technology 68 (1-4) pp 949-961 doi 101007s00170-013-4955-4

Laosirihongthong T Adebanjo D Choon Tan K

(2013) Industrial Management amp Data Systems 113 (8) pp 1088-1109 doi 101108IMDS-04-2013-0164

Zhu Q Sarkis J

(2006) Journal of Cleaner Production 14 (5) pp 472-486 doi 101016jjclepro200501003

Zhu Q Sarkis J

(2007) International Journal of Production Research 45 (18-19) pp 4333-4355 doi 10108000207540701440345

Johansson GSuccess factors for integration of ecodesign in product development A review of state of the art(2002) Environ Manage Health 13 (1) pp 98-107

Eltayeb TK Zailani SGoing green through green supply chain initiatives towards environmental sustainability(2009) Oper Supply Chain Manag 2 (2) pp 93-110

Lee SM Kim ST Choi D

(2012) Industrial Management amp Data Systems 112 (8) pp 1148-1180 doi 10110802635571211264609

22

Circular economy practices among Chinese manufacturers varying in environmental-oriented supply chain cooperation and the performance implications

Cited 118 times

View at Publisher

23

An exploration of green supply chain practices and performances in an automotiveindustry

Cited 70 times

View at Publisher

24

Green supply chain management practices and performance

Cited 85 times

View at Publisher

25

An inter-sectoral comparison of green supply chain management in China Driversand practices

Cited 470 times

View at Publisher

26

The moderating effects of institutional pressures on emergent green supply chainpractices and performance

Cited 455 times

View at Publisher

27

Cited 168 times

28

Cited 70 times

29

Green supply chain management and organizational performance

Cited 126 times

View at Publisher

10 of 38

Zailani SHM Eltayeb TK Hsu C-C Tan KC

(2012) International Journal of Operations and Production Management 32 (6) pp 721-745 doi 10110801443571211230943

Doshi K Sonawane S Sande K Doiphode SGreen Supply Chain Management Operation and Environmental Impact(2016) AADYA-Natl J Manag Technol (NJMT) 6 pp 81-89

Zsidisin GA Hendrick TE

(1998) Industrial Management and Data Systems 98 (7) pp 313-320

doi 10110802635579810241773

Zhu Q Geng Y Sarkis J Lai K-H

(2011) Transportation Research Part E Logistics and Transportation Review 47 (6) pp 808-821

doi 101016jtre201009013

Angel Latha Mary S Sivagami AN Usha Rani M

(2015) ARPN Journal of Engineering and Applied Sciences 10 (9) pp 4009-4012

Herremans IM Herschovis MS Bertels S

(2009) Journal of Business Ethics 89 (3) pp 449-472 doi 101007s10551-008-0010-z

Holt D Ghobadian A

(2009) Journal of Manufacturing Technology Management 20 (7) pp 933-956 doi 10110817410380910984212

copy Copyright 2018 Elsevier BV All rights reserved

30

The impact of external institutional drivers and internal strategy on environmentalperformance

Cited 91 times

View at Publisher

31

Cited 2 times

32

Purchasings involvement in environmental issues A multi-country perspective

Cited 120 timeshttpwwwemeraldinsightcominfojournalsimdsimdsjsp

View at Publisher

33

Evaluating green supply chain management among Chinese manufacturers from theecological modernization perspective

Cited 112timeswwwelseviercomincapublicationsstore600244

View at Publisher

34

Cluster validity measures dynamic clustering algorithms

Cited 11 timeshttpwwwarpnjournalscomjeasresearch_papersrp_2015jeas_0515_2043pdf

35

Leaders and laggards The influence of competing logics on corporate environmentalaction

Cited 33 times

View at Publisher

36

An empirical study of green supply chain management practices amongst UKmanufacturers

Cited 236 times

View at Publisher

Back to results Previous Next Top of page

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COVER DAFTAR ISI DAN BUKTI PESERTA DARI EMPAT

NEGARA

2018 The 5th International

Conference on Industrial

Engineering and Applications

Technical Program

April 26-28 2018

Shaw Foundation Alumni House National University of Singapore

Singapore

wwwicieaorg

Sponsored by Assisted by

ICIEA

2018

iii

2018 5th International Conference on Industrial Engineering and Applications

ICIEA 2018Table of Contents

Decision Analysis and Methods

Towards a Decision Support Approach for Selecting Physical Objects in Collaborative Supply Chain Processes

for Cyber Physical System-Transformation 1

Endric Hetterscheid Florian Schluumlter

Decision Support System for Inventory Control of Raw Materialmdash(Case Study PT Suwarni Agro Mandiri Plant

Pariaman Indonesia) 6

Difana Meilani Amelia Andiningtias Dicky Fatrias

Integration AHP and TOPSIS in Shipyard Location Selection 11

Ali Parkhan Aldrin Daeng Vatimbing Imam Djati Widodo

E-Business and E-Commerce

Inventory Management in E-commerce Supply Chain with Lateral Transshipment and Quick Response17

Xueqing Yu Lingyun Wei

Impact of Recommender Systems on Unplanned Purchase Behaviours in e-Commerce 21

Zhang Ying Chen Caixia Gu Wen Liu Xiaogang

Evaluating and Analyzing the Effectiveness of Online Advertising31

Huini Zhou Li Li Xiaoguang Gu

Micro Enterprise and e-Commerce Platform Literature Review and Agenda for Future Research 38

Clara Linggaputri Isti Surjandari Akhmad Hidayatno

Prefacehelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellipxiii

Conference Committeeshelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellipxiv

iv

Global Manufacturing and Engineering Economics

Optimal Manufacturing Outsourcing Decision Based on the Degree of Manufacturing Process

Standardization49

PingYu Chang Thi Thanh Nhan Phan

A Functional Design of a Cost Benefit Analysis Methodology for Transport Infrastructure Projects54

Tiep Nguyen Stephen Cook Indra Gunawan

Demand Management Practices in the Manufacturing Industry An Empirical South African Perspective 60

Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa

Healthcare Systems and Management

A Study on Healthcare-product Supply Chain with a Group Purchasing Organization67

Yin Han Lingyun Wei

A Study on Shortage of Hospital Beds in the Philippines Using System Dynamics 72

Josephine D German John Karlo P Mintildea Claudine Mae N Alfonso Kang-Hung Yang

Research on Health Monitoring Mechanism Based on Service Invocation79

Xuan Mei Xinming Tan

Business Process Reengineering for the Saline Management in Hospitals84

Sith Vilasdechanon Apichat Sopadang

The Acceptance Model of Hospital Information Systems in Thailand A Conceptual Framework Extending

TAM89

Paneepan Sombat Wornchanok Chaiyasoonthorn Singha Chaveesuk

Human Factors

An Experimental Study to Investigate Personality Traits on Pair Programming Efficiency in Extreme

Programming 95

Ramlall Poonam Chuttur M Yasser

Intention of Opening Up the Network of Personal Data 100

Mao-Sung Chen Tung-Kuan Liu Ming-Tien Tsai

The Differences of Individual Spatial Strategy on Their Solving Performance 105

Sakulporn Pornpanom Arisara Jiamsanguanwong

v

Understanding the Model of User Satisfaction in Using Cloud Storage Systems of Employees in Thailand A

Conceptual Framework 110

Kulapa Najantong Singha Chaveesuk Wornchanok Chaiyasoonthorn

Evaluating Variables That Affect Job Satisfaction of Bank Customer Contact Centre Agents in South Africa

116

Eveth Nwobodo-Anyadiegwu Charles Mbohwa Nokukhanya Ndlovu

Information Processing and Engineering

Real-time Localization and Navigation in an Indoor Environment Using Monocular Camera for Visually

Impaired 122

Kruthika Ramesh Nagananda S N Hariharan Ramasangu Rohini Deshpande

Experiment and Optimization of Magnetostrictive for Long Time Operation to Find Amplitude of Vibration

and Thermal Limit 129

Nuttakorn Pukseesang Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa

Some Methods for Measuring the Efficiency of Firms Utilizing Different Technologies 134

Soobin Choi Jaedong Kim Hanjun Lee

Core Challenges to Cloud PLM Adoption in Large Manufacturing Firms 141

Shikha Singh Subhas Chandra Misra

Intelligent Systems

Visual and Hearing Detection Capabilities to Discriminate whether a UAV Invade a Campus Airspace 146

S J Chang K W Li

Reflections on Facilitating the Development of ldquoInternet Plusrdquo Intelligent Manufacturing in China 150

Yong Tao Gang Zhao Qiushi Li Wen Zhao

A Study of Small Complicated Axisymmetric Parts Manufacturing in Industry 40 158

Chengcheng Zhu Shengdun Zhao Shuaipeng Li

Voltage Stability in DC Micro Grid by Controlling Two Battery Units with Hybrid Network Systems 163

Adhi Kusmantoro Ardyono Priyadi Mauridhi Hery Purnomo

Design and Implementation of IoT Based Smart Laboratory 169

M Poongothai P Muthu Subramanian A Rajeswari

vi

Analysis of Microwave Precipitation in the Topographic Barrier for the Lifting Condensation Level of Clouds

Formation 174

Supawat Kotchapradit Thanaset Thosdeekoraphat Samran Santalunai Chanchai Thongsopa

Improved Efficiency of Insect Pest Control System by SSPA 179

Phanupong Saeung Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa

Manufacturing Systems

Optimized Information Exchange Process between CAD and CAMmdashEnhanced Data Exchange in the Field of

Joining Technology from the Viewpoint of an Automotive Supplier 184

Alexander Kreis Mario Hirz Severin Stadler

Efficiency Improvement of Door Frame Manufacturing Process in Wood Product Manufacturing Industry

189

Lerdlekha Sriratana

The Structural Design of 3D Print Head and Execution of Printing via the Robotic Arm ABB IRB 140 194

Martin Pollaacutek Jozef Toumlroumlk Jozef Zajac Marek Kočiško Monika Teliškovaacute

Micro-fabrication Method of Au Micro-wire Structures on Substrate by Chemical Printing and Peeling Process

199

Potejana Potejanasak

Evaluation of Thermal Comfort Room Garment Workshop in Textile Vocational School 203

Anastasia Febiyani Bambang Suhardi Eko Pujiyanto

Modular Measuring System for the Force Distribution in Forming Processes 208

W Zorn L Hamm R Elsner W G Drossel

Gravity Filling System of Slurry for Rod Mill Sand with High Concentration and Research on Technical

Transformation in Jinchuan Mine 214

Li Li-Tao Yang Zhi-Qiang Gao Qian Wang Yong-Ding

Defect Reduction in the Board Front Door Trim Manufacturing Process 220

Punyisa Kuendee

Operations Research

Integrated Railway Timetable Scheduling Optimization Model and Rescheduling Recovery Optimization

Model A Systematic Literature Review 226

Erlangga Bayu Setyawan Dida Diah Damayanti

vii

A Comparative Analysis about the Balance Design of the Assembly Line by Branching amp Bound Method and

Lingo Method 231

Jia Shuyuan Huang Li Li Qin Gu Yonghu

The Optimal Routes and Modes Selection in Multimodal Transportation Networks Based on Improved A

Algorithm 236

Yan Liu Lingyun Wei

Industrial Cluster Optimization Based on Linear Programming 241

Roberto Montemanni Jafar Jamal

Multi-objective Joint Optimization of Batch-discrete Hybrid Flow Shop Scheduling Integrated with Machine

Maintenance 247

Yangyang Fei Huimin Ma

Investigating the Interrelationship between Stochastic Aircraft Routing of Airlines and Maintenance Staffing

of Maintenance Providers 254

Felix T S Chan Abdelrahman E E Eltoukhy

An Modified Relax-and-fix Algorithm for the Multi-level Lot-sizing Problem with Replaceablility 262

Mingyuan Wei Yifei Yuan Canrong Zhang

Height-Based Heuristics for Relocating Containers during Loading Operations 268

Yifei Yuan Canrong Zhang Ting Huang

A Record-to-Record Travel Algorithm for Multi-product and Multi-period Inventory Routing Problem 274

Fadillah Ramadhan Arif Imran Afrin Fauzya Rizana

Developing Tabu Search with Intensification and Diversification for the Seriation Problem 279

Pimprapai Thainiam

A Comparative Study of Mixed-Integer Linear Programming and Genetic Algorithms for Solving Binary

Problems 284

Punyisa Kuendee Udom Janjarassuk

Production Planning and Control

Concurrent Optimization of Job Shop Scheduling and Dynamic and Flexible Facility Layout Planning 289

Ryota Kamoshida

Makespan Minimization on Single Batch-processing Machine Considering Preventive Maintenance 294

Jingying Huang Liya Wang

viii

Customer Kansei-Oriented Restaurant Location Evaluation Using Kansei Engineering 299

Yu-Hsiang Hsiao Guan-Ting Chen

An Improvement Scheme for the Overall Line Effectiveness of a Production Line A Case Study 304

Jieli Li Yuhui Jia Binbin Xu Fei Chen Zhaojun Yang Xiaodong Li

An Adjustment Method for Material Inventory Control Decision Considered in Product Life Cycle 310

Jiun-Shiung Lin Jen-Huei Chang i-Yan Yang

Application of a Hidden Markov Model for Consistency Checking of Process Plant Facility Tag NumbersmdashA

Case Study 314

Jayaram Sivaramakrishnan Gareth Lee

Analyzing Circadian Rhythms for Breaktime Schedulling on Night Shift Work 321

Lovely Lady Ansor Firdaus

Resource-Reconfigured Flow Shop Scheduling and Lot-Sizing Problems in Semiconductor Test 326

Yige Zhang Yuangen Lu Cangrong Zhang

Process Flow Improvement in Production of Noise Filter Products through Lean Manufacturing Technique

333

Rattarak Moonpragarn Rungchat Chompu-inwai

Waste Reduction in the Shoe Sewing Factory 340

Pongpat Phetrungrueng

The Joint Replenishment Problem with Resource Restriction A Note 345

M I M Wahab Y Chen

Aggregate Planning in Canned Pineapple Production Lines 349

Datepard Charoenponyarrat Tuanjai Somboonwiwat

Applications of Data Mining

A Research Study on Unsupervised Machine Learning Algorithms for Early Fault Detection in Predictive

Maintenance 355

Nagdev Amruthnath Tarun Gupta

The Analysis of Matching Learners in Pair Programming Using K-Means 362

Naladtaporn Aottiwerch Urachart Kokaew

Machine Learning Based Approach for Demand Forecasting Anti-aircraft Missiles 367

Jaedong Kim Hanjun Lee Soobin Choi

ix

Quality Control and product lifecycle Management

Simultaneous Prediction Interval-Based Multiobjective Solution Approach for Multiple Quality Characteristics

Optimization 373

Abhinav Kumar Sharma Indrajit Mukherjee

The TQM Integration in Procurement Function Performance 378

Bisalyaputra K

Safety Analysis at Weaving Department of PT X Bogor Using Failure Mode and Effect Analysis (FMEA) and

Fault Tree Analysis (FTA) 382

Prima Fithri Nidi Annisa Riva Lusi Susanti Berry Yuliandra

Success Determinants to Product Lifecycle Management (PLM) Performance 386

Shikha Singh Subhas Chandra Misra

Company Performance Measurement for Automobile Companies a Composite Indicator from an

Environmental Perspective 391

Qinqin Zeng Wouter W A Beelaerts van Blokland Sicco C Santema Gabriel Lodewijks

Loss Time Reduction for Improve Overall Equipment Effectiveness (OEE) 396

Kamolchanok Krachangchan Natcha Thawesaengskulthai

Service Innovation and Management

Estimating Diffusion of Technology Using User Perceptual Values A Conceptual Model 401

Chaudry Bilal Ahmad Khan

Implementation of Innovative Digitalization Methods in Reverse Engineering 406

Monika Teliškovaacute Martin Pollaacutek Jozef Toumlroumlk Jakub Kaščaacutek Petr Baron Viktoria Mezencevova

Topological Evolution of Public Transportation Network A Case Study of Bangkok Rail Transit Network 410

Pijaya Na Bangxang Pisit Jarumaneeroj

A Design of Automated Parking System for Shopping Centers in Metro Manila 415

Ma Janice J Gumasing Charles Aaron V Atienza

Design of an Ergonomic Classroom Chair and Desk for Preschool Students of Selected Public Schools in

Cabuyao City Laguna 420

Ezrha C Godilano Mark Kevin G Galang Hazel Elaine O Ramilo Kristian Roi F Velayo

Design of an Ergonomic Wheelbarrow to Reduce Physiological Demands of General Users 424

Ezrha C Godilano Karl Vincent Casas Aubrey Justine Vargas

x

Ergonomic Intervention Addressing Musculoskeletal Disorders among Poultry Layer Workers 429

Ma Janice J Gumasing Rex Aurelius C Robielos

Wristwatch Development Based on Kansei Engineering 435

Imam Djati Widodo Heavy Zerry Novibrilliawan

Innovative Product Development of Fabric Glass Interlayer 440

Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong

Systems Modeling and Simulation

A Simulation Study of Multi-dimensional Clearing Function Considering Degradation for Semiconductor

Manufacturing 448

Jianqiu Huang Jingying Huang Liya Wang

Productivity Improvement of Tapioca Packing Process through Simulation Modeling Analysis 453

Nara Samattapapong

Modelling the Barriers for Mass Adoption of Electric Vehicles in Indian Automotive Sector An Interpretive

Structural Modeling (ISM) Approach 458

Surya Prakash Sameer Sharma Poudel Maheshwar Dwivedy Dilesh Raj Shrestha

Diagnostics of the Wire Coating Production Line by Implementation of Computation Methods 463

Ivan Kuric Miroslav Cisar Ivan Zajacko Tomas Gal

District Model with Two Types of Vehicles for Transporting Sugarcane 468

Rujirat Patcharamethanon Kanchala Sudtachat

Experiment of Induction Heating Application for Heating Multilayer Metallic Hollow Altered Cylinder 475

Jakkarin Srituvanont Thanaset Thosdeekoraphat Chanchai Thongsopa Samran Santalunai

A Framework for Analyzing and Developing Dashboard Templates for Small and Medium Enterprises 479

Wasinee Noonpakdee Thitiporn Khunkornsiri Acharaphun Phothichai Kriangsak Danaisawat

An Economic Order Quantity Model with Continous Quantity Discount and Probabilistic Demand 484

Ardian Rizaldi Ashaeurizky Dilianaputri Fitri A Anugrah Riska Ummaya Senator Nur Bahagia

Technology and Knowledge Management

Analyzing Interdependencies in a Project Portfolio Using Social Network Analysis Metrics 490

Helal Al Zaabi Hamdi Bashir

Sentiment Analysis of Twitter Corpus Related to Artificial Intelligence Assistants 495

Chae Won Park Dae Ryong Seo

xi

Artificial Neural Neural Network Approach for Technology Life Cyle Construction on Patent Data 499

Muhammad Hanif Ramadhan Vialli Ibrahim Malik Teddy Sjafrizal

A Systematic Literature Review on Knowledge Sharing for Innovation Empirical Study Approach 504

Augustina Asih Rumanti T M A Ari Samadhi Iwan Inrawan Wiratmadja Indryati Sunaryo

Belief Representation of Design Mental Model Based on Design Rationale 510

Chen Ying Jing Shikai Wang Yedong Cheng Dada

Study on Teaching Methods of Fundamental Electrical Courses in Engineering Education 515

Jianpei Chen Fei Gao Lingling Kong Lin Cui

Supply Chain Management

Supply Chain Model for Renewable Energy Resource from Biomass in Vietnam 520

Duy Nguyen Duc Narameth Nananukul

Exploring the Implementation of Green Supply Chain with Cluster and Discriminant AnalysismdashCase Study

Furniture Industry at Central Java Semarang 526

Aries Susanty Diana Puspita Sari

Systematic Literature Review and Improved Model for Mitigating Bullwhip Effect in Low Shelf Life Food

Supply Chain 531

Nia Novitasari Dida Diah Damayanti

Supply Chain Management Performance and Partial Least Square-Structural Equation Model An application

to Thai Tourism Supply Chain 536

Daraka Palang Korrakot Yaibuathet Tippayawong

An Economic Competitiveness Analysis of Power Generation Plants 543

Ndala Yves Mulongo Pule Kholopane

Supplier Selection Considering Sustainablitity Criteria by Using A Hybrid Evaluation Method in Printing

Business 548

Onsiree Mananawigapol Chorkaew Jaturanonda Tuanjai Somboonwiwat

Barriers and Drivers of eBIZ Adoption in the Fashion Supply Chain Preliminary Results 555

Bianca Bindi Virginia Fani Romeo Bandinelli Gilda Massa Gessica Ciaccio Arianna Brutti Piero De

Sabbata

A Simulation Analysis on Regional Logistics Development Based on System Dynamics The Case of Yunnan

Province 560

Yinyuan Si Wensheng Yang Huini Zhou

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Highlight

xii

A Sustainability Assessment of Electricity Supply Systems 565

Ndala Yves Mulongo Pule Kholopane

Author Index

1040-1210 Friday 27 Apr

Session B-2 Supply Chain Management Venue Lemongrass Room

Chair

N066

Time 1040-1055

A study on Healthcare-product Supply Chain with a group purchasing organization Ms Yin Han Lingyun Wei Beijing University of posts and telecommunications Beijing China

In order to better understand the impact of group purchasing organization (GPO) on healthcare-product supply chain we build a supply chain model consisting of one manufacturer one competitive source one group purchasing organization(GPO) and n healthcare providers for a single product Providers may purchase from any source for minimizing their total costs Through considering different providersrsquo demands power schemes and revenue sharing between GPO and providers we analyze the performance of supply chain and its members under various situations Numerical examples show some interesting findings (1) When GPO dominates the supply chain GPO can obtain more profits (2)When manufacturer dominates the supply chain and GPO shares its revenue with providers there exists specific revenue sharing rates which increase GPOrsquos profits and reduce providersrsquo cost (3) Manufacturer always can achieve a same optimal profit by changing quantity discount rate when GPO dominates supply chain and shares its revenue with providers

N108

Time 1055-1110

Exploring the Implementation of Green Supply Chain with Cluster and Discriminant Analysis Case Study Furniture Industry at Central Java Semarang Dr Aries Susanty Diana Puspitasari Diponegoro Univeristy Indonesia This study has two objectives First this study aims to categorize the level of the implementation of Green Supply Chain Management (GSCM) practice among Small and Medium Enterprises (SMEs) of wooden furniture in several clusters Second this study aims to find the linear combination of five dimensions of GSCM practices that will discriminate best between prior defined clusters The study used primary data through questionnaires enclosed with the Likert scale 1-5 at 162 SMEs of wooden furniture located in Surakarta Jepara Semarang and Kudus The raw data level of implementation of five dimensions of GSCM practice is analyzed using K-Means cluster and discriminant analysis with the aid of the Statistical Package for the Social Sciences (SPSS) software The result of K-Means cluster analysis indicated that a two-cluster is the optimal number of a group for separating the data of the level of implementation of GSSM practice among SMEs of wooden furniture and the two clusters founded in this research are labeled as early adopter and laggards Then the result of the discriminant analysis indicated that as high as 9877 of the SMEs of wooden furniture was classified correctly The result of discriminant analysis also revealed the discriminant function as Z= (0238IEM) + (0602GPU) + (1161CCO) + (1128ECO) + (1126IRE) - 13124 and the threshold for evaluating a discriminant score of

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Conferences gt 2018 5th International Confer

3 Author(s) Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa View All Authors

Demand management practices in the manufacturing industry An empiricalSouth African perspective

38FullText Views

Abstract

Document Sections

I Introduction

II Literature Review

III Methodology

IV Resultsampinterpretations

V Conclusion

Authors

Figures

References

Keywords

Metrics

Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

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Keywords

Metrics

AbstractThis paper aims to identify and explore Demand Management (DM) practices used within the SouthAfrican Manufacturing industry The study followed a qualitative design approach in order to identifythe relationship between DM methods such as forecasting and the best practices used by therespondents Therefore a purposive sampling technique was used whereby a questionnaire was sentout via email to 15 manufacturing companies before meeting them for a face to face interviewconducted in two weeks Respondents varied from different industries such as automotive wood andpaper chemical food and beverage etc The results demonstrated that although the respondents areaware of the best practices for a good DM system they generally do not apply them entirely becauseof factors like fear of implementing change and failure to quickly adapt themselves to the change thatwould come with those best practices In addition the results also revealed that forecasting is themost used DM method by the respondents and a simple forecasting average is used to predict futuredemand Depending on the company the forecast is done either by a team or by functional areas

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844216

DOI 101109IEA20188387071

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionThe importance of satisfying the customer by meeting the demand has long been recognized bymanagers as crucial to making the organization successful However numerous problems occurand many factors need to be considered in order to give the customer what they want how theywant it as well as where and when they want it Failure to understand crucial characteristics ofdemand will result in supply shortage or excessive stock that will place serious financial burdenson the organization subsequently leading to a loss of market share and customers

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Eric Bakama MikobiDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

Eveth Nwobodo-AnyadiegwuDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

Charles MbohwaDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

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An integrative framework of knowledgemanagement enabled supply chainmanagement2008 IEEE International Conference onIndustrial Engineering and EngineeringManagementPublished 2008

An empirical approach for the application ofknowledge management on downstream supplychain management of Indian public sector oilcompanies2017 Fourteenth International Conference onWireless and Optical Communications Networks(WOCN)Published 2017

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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

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Conferences gt 2018 5th International Confer

2 Author(s) Shikha Singh Subhas Chandra Misra View All Authors

Core challenges to cloud PLM adoption in large manufacturing firms

60FullText Views

Abstract

Document Sections

I Introduction

II Literature Review

III ResearchMethodology

IV Case Study and DataAnalysis

V Result and Discussion

Show Full Outline

Authors

Figures

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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

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AbstractAs the globalization is at its peak and innovative products are at high demand firms are forced to workin a collaborative manner The product data must be lively available to all the collaborated partnersAlthough on-premise Product Lifecycle Management (PLM) systems are offering the collaborationsand product data management throughout the products lifecycle the Internet of Things (IoT) eraoffers more connectivity at a lesser cost Though most large manufacturing firms have established theon-premise PLM systems yet face some difficulties related to maintenance and upgradations of in-house information technology (IT) infrastructure Hence cloud PLM is under consideration foradoption among many large manufacturing firms However there are several challenges associatedwith cloud PLM adoption decision This work intends to find out the challenges which largemanufacturing firms face while deciding to adopt cloud PLM The empirical investigations have beenattempted to find out the relations among the challenges faced and to provide the guideline on how tofind out the core challenges which needs to be attended before adopting cloud PLM in largemanufacturing firms

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844276

DOI 101109IEA20188387085

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionProduct lifecycle management (PLM) systems are the IT tools [1] which support the PLMbusiness concept [2] to manage the whole lifecycle of a product in firms PLM systems help totransform the organizations into digitized era and make them technologically robust by giving a3D product designing and virtual manufacturing opportunity [3] PLM systems help in substantialcost savings by reducing the real manufacturing efforts Product-related knowledge must need tobe preserved so that it can help in the other phases of product lifecycle such as repair overhaulreuse recycle and or disposal of the product Increasing number of enterprise informationsystems stakeholders and product related information demand the need for a managementapproach which makes the managers capable of managing all the dispersed product informationat one common repository for reuse

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Shikha SinghDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India

Subhas Chandra MisraDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India

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The automation of the technological processesin the Manufacturing Internet of Things contextfor the pharmaceutical enterprises2018 IEEE 9th International Conference onDependable Systems Services andTechnologies (DESSERT)Published 2018

Integration of ERP and Internet of Things inIntelligent Enterprise Management2018 1st International Cognitive CitiesConference (IC3)Published 2018

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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|

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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance

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Conferences gt 2018 5th International Confer

3 Author(s) Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong View All Authors

Innovative product development of fabric glass interlayer

39FullText Views

Abstract

Document Sections

I Introduction

II Methodology

III Conclusion

Authors

Figures

References

Keywords

MetricsPublished in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

References

Keywords

Metrics

AbstractA glass manufacturer in Thailand developed the laminated fabric glass as innovative product in 2013but sales had declined in 2016 Customers survey shows that the satisfaction level decreased due tolong production lead time high-selling price and long installation time This paper aims to develop anew innovative fabric glass interlayer product by adopting 5D innovation development process 5Dconsists of Discover Define Design Develop and Deploy Firstly discover phase adopted Five ForcesAnalysis Customer Behavior Analysis and Customers Satisfaction Survey for specifying marketposition and seeking the hidden customers expectations Define is to summarize the project charteras initiation step in the project management and to scope resources and timeframe Design weadopted the integration of QFD Kano Model and Product Quality Index for prioritizing and translatingcustomer expectations to product specifications Then all concepts were concluded by Pugh MatrixWeighted Sum Score and confirmed the selected concept by financial feasibility study Developprocess is to prototyping to verify the production before scale up Finally generated the riskassessment plan by FMEA and contributed the business plan to ensure the effectivecommercialization in Deploy The developed fabric glass interlayer shows higher customer satisfactionlevel by shorten production lead time from 14 days to 8 days (4285) lower price from 790 bahtft to 485 bahtft (3861) and shorten installation time from 180 minutes to 45 minutes (75)

2

2

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844226

DOI 101109IEA20188387141

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionThe case company is one of the glass manufacturers in Thailand who process the fundamentalfunctional building glass tempered and laminated glass for the architectural construction andinterior decoration The companys vision was stated to be the leader of glass innovation within2022 To be the leader of the glass innovation case company should focus on the continuousinnovative product development The mainly innovative product that had been sold for manyyears was the fabric glass as 52 52 and 47 in 2015 2016 and 2017 respectively

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Ploynaplus ThanasirithamDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

Natcha ThawesaengskulthaiDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

Prasert AkkharaprathomphongDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

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Study of a Customer Satisfaction-OrientedModel for Outsourcing Software QualityManagement Using Quality FunctionDeployment (QFD)2008 4th International Conference on WirelessCommunications Networking and MobileComputingPublished 2008

Fuzzy Eco-Design Product Development byUsing Quality Function Deployment2005 4th International Symposium onEnvironmentally Conscious Design and InverseManufacturingPublished 2005

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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|

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Conferences gt 2018 5th International Confer

2 Author(s) Jingying Huang Liya Wang View All Authors

Makespan minimization on single batch-processing machine consideringpreventive maintenance

37FullText Views

Abstract

Document Sections

I Introduction

II Problem Description

III Batching Rule

IV Improved Heuristics

V ComputationalResults andDiscussions

Show Full Outline

Authors

Figures

References

Keywords

Metrics

Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

References

Keywords

Metrics

AbstractThis paper considers the problem of minimizing makespan on a single batch-processing machineconsidering preventive maintenance A mathematical model for integrating flexible preventivemaintenance into the batch-processing machine scheduling is proposed A two-stage method isproposed to solve the problem A batching rule considering maintenance is proposed to group jobsinto batches firstly And then we improve existing heuristics to schedule production and maintenanceComputational results indicate that the two-stage method based on proposed batching rule andimproved heuristics is effective

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844275

DOI 101109IEA20188387113

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionBPM (Batch processing machine) problem has attracted many researchers in recent years BPMis able to process a group of jobs as long as the number of jobs in the batch is less than or equalto the capacity of the machine To minimize total flow time Rui Xu [1] proposed an ant colonyalgorithm combined with the candidate list NR Parsa [2] proposed an algorithm using a hybridmax-min ant system AH Kashan [3] proposed a batch based hybrid genetic algorithm thatgenerates random batches of jobs and ensures feasibility To minimize total earliness andtardiness of the jobs NR Parsa [4] proposed a dynamic programming algorithm and severalheuristics BPM problem is practically applied in many manufacturing industries One of them issemiconductor wafer manufacturing industry BPM problem is applied in the furnace area in themanufacturing process of semiconductor wafers The machine is only shared by jobs requiringthe particular processing operation [5] That is in reality only semiconductor wafers with thesame kind of process can be grouped into a batch However the papers above did not take thisconstraint into consideration They assumed the jobs with different processing time can begrouped into the same batches Also the above papers did not consider about maintenancewhen grouping and scheduling jobs

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Jingying HuangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina

Liya WangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina

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ACO-based Parallel Machine SchedulingConsidering Both Setup Time and Run-basedPreventive Maintenance with ReliabilityConstraints2018 IEEE International Conference onIndustrial Engineering and EngineeringManagement (IEEM)Published 2018

MSPT2 Heuristic and Dynamic ProgrammingMethod for the Parallel Machine SchedulingProblem with scheduled PreventiveMaintenance2006 International Conference on ServiceSystems and Service ManagementPublished 2006

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About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|

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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance

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KEYNOTE AND INVITE SPEAKERS

Keynote Speech

Keynote Speech ndashI

Abstract of speech

Many products are designed to last longer than

the typical lifespan of human being Its thus a

challenge to validate the design life through

reliability tests even when testing is conducted

under much harsher environment Not only that

test duration is usually constrained but the

samples available for testing may also be costly

andor limited in quantity Statistically optimal

plans will allow for efficient use of testing

resources and yet derive the most information

from the test In this presentation we shall

discuss ideas related to designing test plans for

both constant stress and step stress ALT leading

to the statistical optimal plan for sequential ALT

While that of constant ALT is basically a Bayesian

approach that for the step stress ALT requires

solving a dynamic program using backward

induction For the latter optimal solutions are

only available for exponential lifetime and there

are rooms for further research

Loon Ching TANG

BIO Dr Loon Ching TANG is currently the Director of

Temasek Defence Systems Institute and Professor of

Department of Industrial Systems Engineering and

Management at the National University of Singapore

He obtained his PhD degree from Cornell University in

the field of Operations Research in 1992 and has

published extensively in areas related to industrial

engineering and operations research He has been

presented with a number of best paper awards

including the IIE Transactions 2010 Best Application

Paper Award and 2012 RA EvansPK McElroy Award

for the best paper at Annual RAMS Prof Tang is the

main author of the award-winning book Six Sigma

Advanced Tools for Black Belts and Master Black Belts

Besides being active in the forefront of academic

research in the last 25 years Prof Tang has served as

consultant for many organizations such as the

Ministry of Home Affair Singapore Power Republic of

Singapore Air Force Seagate HP Phillips etc on a

wide range of projects aiming at improving

organizational and operations efficiency especially

through better management of engineering assets He

is currently a fellow of ISEAM the Editor of Quality amp

Reliability Engineering International and an editorial

review board member of the flagship journal of ASQ

Journal of Quality Technology (since 2006) He has

served as the Region VP (Asia) of IIE (2013-16) and a

member of the advisory board of the Singapore

Innovation and Productivity Institute

Apr 26(Thu) 2018 1305-1350

Auditorium Room

ldquoPlanning Sequential Accelerated Life Testingrdquo

Prof Loon Ching TANG

National University of Singapore Singapore

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Keynote Speech ndashII

George ZHANG

BIO Professor Zhe George Zhang is a professor of

Management Science in the Department of Decision

Sciences at Western Washington University and a

professor of Operations Management in Beedie

School of Business at Simon Fraser University He is

also visiting professor of Sauder School of Business

at the University of British Columbia Dr Zhang

received his BS in Computer Science and MA in

Economics from Nankai University China his MBA

from the Schulich School of Business at York

University and his PhD in Operations research from

the University of Waterloo Professor Zhang has

published many papers in prestigious journals such

as Management Science Operations Research

Manufacturing amp Service Operations Management

Production and Operations Management IIE

Transactions IEEE Transactions Queueing Systems

Journal of Applied Probability Co-authored with

Professor Tian in 2006 he published the research

monograph Vacation Queueing Models - Theory

and Applications the first book on this particular

topic (now highly cited) Professor Zhangs research

interests include queueing theory and applications

and stochastic models for manufacturing and

service systems The main theme of his research is

to bridge the gap between theory and application

obtaining unobservable and sometimes

counter-intuitive but significantpractical

management insights via modeling and quantitative

analysis Currently he is particularly interested in

the quantitative and economic analysis of the

congestion problems in urbanmass transportation

networks healthmedical care systems and public

service systems with both customer service quality

and security concerns As an expert in data analysis

and quantitative modeling he has consulted in

industry and has given research seminars and short

lectures at leading universities around the world He

was invited to present plenary or keynote talks in

several international conferences Professor Zhang

is the one of Editor-in-Chiefs for new journal

Queueing Models and Service Management aan

associate editor of INFOR (Information Systems and

Operations Research) and is on the editorial board

of several international journals in Operations

Research and Management Science

Apr 26(Thu) 2018 1350-1435

Auditorium Room

ldquordquo

Prof George ZHANG

Western Washington University USA

Lenovo
Highlight

Keynote Speech ndashIII

Abstract of speech

The purpose of this paper is to investigate the

generalized age maintenance policies for a system

with random working times When the system fails

it is subject to one of two types of failures with

age-dependent probability type I failure can be

removed by minimal repair and type II failure must

be rectified by replacementA First the system is

preventively replaced before type II failure at time T

or at the completion of Nth working projects

whichever occurs first Two modified models where

the system is preventively replaced before type II

failure at time T or at the completion of Nth

working projects whichever occurs last and it is

preventively replaced at the first completion of the

working project over time T or at the completion of

Nth working projects whichever occurs first are

considered By introducing costs due to repairs

maintenance and replacement the expected cost

per unit time is derived as a criterion of optimality

and the optimal policy that minimizes that cost is

discussed analytically

Shey-Huei SHEU

BIO Professor Shey-Huei Sheu is a Chair Professor

of Department of Statistics and Informatics Science

at the Providence University He is an Honorary

Chair Professor of the Department of Industrial

Management at the National Taiwan University of

Science and Technology He received his MS

degree (1979) in applied mathematics from the

National Tsing Hua University and his PhD degree

(1987) in statistics from the University of Kentucky

He has published in journals such as Naval Research

Logistics Journal of Applied Probability RAIRO

Operations Research Microelectronics and

Reliability Reliability Engineering and System Safety

International Journal of Systems Science Quality

and Reliability Engineering International

International Journal of Reliability Quality and

Safety Engineering Journal of the Operational

Research Society European Journal of the

Operational Research Computers and Operation

Research Computers and Industrial Engineering

Quality Engineering Asia-Pacific Journal of the

Operational Research Communications in

Statistics-Theory and Methods Computers and

Mathematics with Applications Simulation

Modeling Practice and Theory Communications in

Statistics-Simulation and Computation Journal of

Statistical Computation and Simulation

International Journal of Production Economics

Quality Technology and Quantitative Management

The International Journal of Advanced

Manufacturing Technology Expert Systems

International Journal of Computer Mathematics

Journal of Applied Statistics Production Planning

and Control International Journal of Production

Research Applied Mathematical Modelling IEEE

Transactions on Reliability and Annals of

Operations Research

Apr 26(Thu) 2018 1435-1520

Auditorium Room

ldquoThe Generalized Age Maintenance Policies with

Random Working Timesrdquo

Prof Shey-Huei SHEU

Providence University Taiwan

Lenovo
Highlight

Keynote Speech ndashIV

Abstract of speech

IEEE 80211ah a specification belonging to 80211

wireless local area network (WLAN) protocol family

has been recently released to support the

long-range low-power and low-rate wireless

communication among smart devices used in

Internet of Thing (IoT) systems However security

requirements of the energy-constrained devices

have plenty of issues different from the traditional

wireless devices It requires that the lightweight

security protocols have to support low-power and

low-latency as well as the long-lasting features of

quantities of IoT devices The recently released IEEE

statndard IEEE 80211ai has specified a Fast Initial

Link Setup (FILS) which is a brand-new approach

aiming at establishing fast stable and secure links

among smart devices IEEE 80211ai could be applied

to other wireless systems such as the wireless

system of IEEE 80211ah with security

enhancements In this talk I would address the

secureity issues of IEEE 80211ai and IEEE 80211ah

with an new proposal to enhance the

authentication process in the link setup procedure

specified by IEEE 80211ai

Maode MA

BIO Dr Maode Ma is a Fellow of IET He received his

PhD degree in computer science from Hong Kong

University of Science and Technology in 1999 Now

Dr Ma is an Associate Professor in the School of

Electrical and Electronic Engineering at Nanyang

Technological University in Singapore He has

extensive research interests including network

security and wireless networking Dr Ma has about

350 international academic publications including

over 160 journal papers and about 190 conference

papers He has delivered over 50 keynote speeches

at various international conferences He has served

as various chairs for over 100 international

conferences He currently serves as the

Editor-in-Chief of International Journal of Computer

and Communication Engineering and International

Journal of Electronic Transport He also serves as a

Senior Editor or an Associate Editor for other 4

international academic journals Dr Ma is a Senior

Member of IEEE Communication Society and IEEE

Education Society and a Member of ACM He is the

Chair of the IEEE Education Society Singapore

Chapter and the Chair of the ACM Singapore

Chapter He has served as an IEEE Communication

Society Distinguished Lecturer from 2013-2016

Apr 26(Thu) 2018 1530-1615

Auditorium Room

ldquoEfficient and Secure Authentication Schemes for

IEEE 80211ah Networks rdquo

Prof Maode MA

Nanyang Technological University Singapore

Lenovo
Highlight

Keynote Speech ndashV

Abstract of speech

Stochastic aircraft routing (SAR) plays a critical role

in defining the routing plans of airlines which

include assigning the aircraft to flight legs and

determining the time and location of maintenance

to the aircraft Based on the routing plan specified

by the airlines the maintenance providers should

schedule their workforce to perform maintenance

operations by solving the maintenance staffing

problem (MSP) MSP helps maintenance providers

to build their staffing plans which include the

assignment of manpower to each aircraft so that

aircraft receive the required maintenance

operations as planned Practically for airlines the

routing plan will be interrupted (eg flight delays) if

an aircraft cannot be released from the

maintenance station punctually Similarly for

maintenance providers if an aircraft misses the

scheduled appointment at the maintenance station

this will also cause a huge interruption to their

staffing plan Therefore there is an interrelationship

between SAR and MSP In the literature the focus

of each problem has been traditionally considered

separately with only limited consideration of their

interrelationship In this paper we study SAR along

with MSP with the objective of investigating the

interrelationship between SAR and MSP For this

purpose we propose a coordinated configuration

of SAR and MSP that is formulated as a

leader-follower Stackelbery game in which SAR

acts as a leader and MSP acts as a follower This

game is enacted through a bi-level optimization

model which is solved by a bi-level nested ant

colony optimization (ACO) algorithm A case study

of a major airline and maintenance provider located

in the Middle East is presented to demonstrate the

feasibility and potential of the proposed model The

results demonstrate significant saving in the costs

of both companies

Felix TS CHAN

BIO Professor Felix T S Chan received his BSc

Degree in Mechanical Engineering from Brighton

Polytechnic (now University) UK and obtained his

MSc and PhD in Manufacturing Engineering from

the Imperial College of Science and Technology

University of London UK Professor Chan is now

working at the Department of Industrial and

Systems Engineering The Hong Kong Polytechnic

University and also serving as Associate Dean

(Research) at the Faculty of Engineering His current

research interests are Logistics and Supply Chain

Management Operations Management

Distribution Coordination Systems Modelling and

Simulation AI Optimisation To date he has

published 16 book chapters over 300 refereed

international journal papers and 250 peer reviewed

international conference papers h index= 30 under

the Web of Science He is a chartered member of

the Chartered Institute of Logistics and Transport in

Hong Kong According to a study lately published in

the International Journal of Production Research

(httpdxdoiorg1010800020754320151037935)

the study measured the research contributions over

a 26-year time frame (1985-2010) of academic

institutions and individual authors to the field of

Apr 26(Thu) 2018 1615-1700

Auditorium Room

ldquoInvestigating the Interrelationship between

Stochastic Aircraft Routing of Airlines and

Maintenance Staffing of Maintenance Providersrdquo

Prof Felix TS CHAN

The Hong Kong Polytechnic University Hong Kong

Lenovo
Highlight

Operations Management (OM) based on published

articles in 11 top-rated and well-known academic OM

journals Professor Chan was among the top 50

prolific authors list who have made the greatest

overall contribution to the field as measured by the

number of distributed and shared articles published

in the 11 designated journals Also Professor Chan

was Ranked No 3 in The top 100 authors as the

most productive researchers in the field of

Operations Management over the past 10 years

(2001-2010)

COMMITTEE

ICIEA 2018 Organizing Committee

International Advisory Committee

Zhe George Zhang Western Washington University USA

Conference Chairs

Felix T S Chan The Hong Kong Polytechnic University Hong Kong

Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan

Local Organizing Chair

TANG Loon Ching National University of Singapore Singapore

Organizing and Program Committees

Seoung Bum Kim School of Industrial Mangement Engineering Korea University

Usik Lee Inha University Korea

Maode Ma Nanyang Technological University Singapore

Finance Chair

Minghan Xi Dalian Maritime University China

International Technical Committees

Cheng-Feng HuNational Chiayi University Taiwan

Dong-Yuh YangNational Taipei University of Business Taiwan

Mario HirzGraz University of Technology Austria

Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt

Po-Hsiang Liu College of Business and Management in St Johns University USA

Taesu Cheong Korea University Korea

Tien-Lun Liu Chung Yuan Christian University Taiwan

Wei CaiWuhan University of Technology China

Jinguo Huang Huazhong University of Science and Technology China

Yu-Chung Tsao National Taiwan University of Science Technology Taiwan

Yip Mum WaiTunku Abdul Rahman University College Malaysia

Pule Kholopane University of Johannesburg South Africa

Bonivasius Prasetya Ichtiarto mercu buana university Indonesia

Elita Amrina Andalas University Indonesia

Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan

Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong

Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia

Lenovo
Highlight
Lenovo
Highlight
Lenovo
Highlight
Lenovo
Highlight

Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India

Byung Do Chung Yonsei University Korea

M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia

Sandeep Singhal National Institute of Technology India

J W Wang The University of Hong Kong Hong Kong

Ching-Chang Kuo National Taichung University of Science and Technology Taiwan

Kuo-Hsiung Wang Providence University Taiwan

ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia

Sangbok Lee Hansung University Korea

Adrian E Coronado Mondragon Royal Holloway University of London UK

Chin-I Lee Ling Tung University Taiwan

S H ChoiUniversity of Hong Kong Hong Kong

Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan

Wei Cai Wuhan University of Technology China

Hashibah Hamid Universiti Utara Malaysia Malaysia

TMA Ari Samadhi Bandung Institute of Technology Indonesia

Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia

Pi-Chun Hsu Chaoyang University of Technology Taiwan

Mu-Chen Chen National Chiao Tung University Taiwan

Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan

Tsu-Wei Yu Chaoyang University of Technology Taiwan

Lingyun Wei Beijing University of Posts and Telecommunications China

Hamdi Bashir University of sharjahUnited Arab Emirates

LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand

LIU Hai-peng Kunming University of Science and Technology China

Elfira Febriani Trisakti University Indonesia

Yu-Hsiang Hsiao National Taipei University Taiwan

Chien-Chih Wang Ming Chi University of Technology Taiwan

Atichart Harncharnchai Chiang Mai University Thailand

Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)

Switzerland

Bambang Suhardi Universitas Sebelas Maret Indonesia

Ssu Han Chen Ming Chi University of Technology Taiwan

Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia

Augustina Asih Rumanti Bandung Institute of Technology Indonesia

Maheshwar Dwivedy BML Munjal University India

Zhichuan Guan China university of petroleum (East China) China

Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia

Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia

Yenming J Chen National Kaohsiung University of Science and Technology Taiwan

Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia

TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand

Li Li Nanjing University of Science and Technology China

SERTIFIKAT

Page 8: Nilai Maksimal Prosiding - eprints.undip.ac.ideprints.undip.ac.id/70482/1/...of_GSCM_practice_peer_review_lengkap.pdf · discriminant function as Z= (0.238-IeM) + (0.602-GPU) + (1.161-CCO)

10 of 38

Zailani SHM Eltayeb TK Hsu C-C Tan KC

(2012) International Journal of Operations and Production Management 32 (6) pp 721-745 doi 10110801443571211230943

Doshi K Sonawane S Sande K Doiphode SGreen Supply Chain Management Operation and Environmental Impact(2016) AADYA-Natl J Manag Technol (NJMT) 6 pp 81-89

Zsidisin GA Hendrick TE

(1998) Industrial Management and Data Systems 98 (7) pp 313-320

doi 10110802635579810241773

Zhu Q Geng Y Sarkis J Lai K-H

(2011) Transportation Research Part E Logistics and Transportation Review 47 (6) pp 808-821

doi 101016jtre201009013

Angel Latha Mary S Sivagami AN Usha Rani M

(2015) ARPN Journal of Engineering and Applied Sciences 10 (9) pp 4009-4012

Herremans IM Herschovis MS Bertels S

(2009) Journal of Business Ethics 89 (3) pp 449-472 doi 101007s10551-008-0010-z

Holt D Ghobadian A

(2009) Journal of Manufacturing Technology Management 20 (7) pp 933-956 doi 10110817410380910984212

copy Copyright 2018 Elsevier BV All rights reserved

30

The impact of external institutional drivers and internal strategy on environmentalperformance

Cited 91 times

View at Publisher

31

Cited 2 times

32

Purchasings involvement in environmental issues A multi-country perspective

Cited 120 timeshttpwwwemeraldinsightcominfojournalsimdsimdsjsp

View at Publisher

33

Evaluating green supply chain management among Chinese manufacturers from theecological modernization perspective

Cited 112timeswwwelseviercomincapublicationsstore600244

View at Publisher

34

Cluster validity measures dynamic clustering algorithms

Cited 11 timeshttpwwwarpnjournalscomjeasresearch_papersrp_2015jeas_0515_2043pdf

35

Leaders and laggards The influence of competing logics on corporate environmentalaction

Cited 33 times

View at Publisher

36

An empirical study of green supply chain management practices amongst UKmanufacturers

Cited 236 times

View at Publisher

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COVER DAFTAR ISI DAN BUKTI PESERTA DARI EMPAT

NEGARA

2018 The 5th International

Conference on Industrial

Engineering and Applications

Technical Program

April 26-28 2018

Shaw Foundation Alumni House National University of Singapore

Singapore

wwwicieaorg

Sponsored by Assisted by

ICIEA

2018

iii

2018 5th International Conference on Industrial Engineering and Applications

ICIEA 2018Table of Contents

Decision Analysis and Methods

Towards a Decision Support Approach for Selecting Physical Objects in Collaborative Supply Chain Processes

for Cyber Physical System-Transformation 1

Endric Hetterscheid Florian Schluumlter

Decision Support System for Inventory Control of Raw Materialmdash(Case Study PT Suwarni Agro Mandiri Plant

Pariaman Indonesia) 6

Difana Meilani Amelia Andiningtias Dicky Fatrias

Integration AHP and TOPSIS in Shipyard Location Selection 11

Ali Parkhan Aldrin Daeng Vatimbing Imam Djati Widodo

E-Business and E-Commerce

Inventory Management in E-commerce Supply Chain with Lateral Transshipment and Quick Response17

Xueqing Yu Lingyun Wei

Impact of Recommender Systems on Unplanned Purchase Behaviours in e-Commerce 21

Zhang Ying Chen Caixia Gu Wen Liu Xiaogang

Evaluating and Analyzing the Effectiveness of Online Advertising31

Huini Zhou Li Li Xiaoguang Gu

Micro Enterprise and e-Commerce Platform Literature Review and Agenda for Future Research 38

Clara Linggaputri Isti Surjandari Akhmad Hidayatno

Prefacehelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellipxiii

Conference Committeeshelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellipxiv

iv

Global Manufacturing and Engineering Economics

Optimal Manufacturing Outsourcing Decision Based on the Degree of Manufacturing Process

Standardization49

PingYu Chang Thi Thanh Nhan Phan

A Functional Design of a Cost Benefit Analysis Methodology for Transport Infrastructure Projects54

Tiep Nguyen Stephen Cook Indra Gunawan

Demand Management Practices in the Manufacturing Industry An Empirical South African Perspective 60

Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa

Healthcare Systems and Management

A Study on Healthcare-product Supply Chain with a Group Purchasing Organization67

Yin Han Lingyun Wei

A Study on Shortage of Hospital Beds in the Philippines Using System Dynamics 72

Josephine D German John Karlo P Mintildea Claudine Mae N Alfonso Kang-Hung Yang

Research on Health Monitoring Mechanism Based on Service Invocation79

Xuan Mei Xinming Tan

Business Process Reengineering for the Saline Management in Hospitals84

Sith Vilasdechanon Apichat Sopadang

The Acceptance Model of Hospital Information Systems in Thailand A Conceptual Framework Extending

TAM89

Paneepan Sombat Wornchanok Chaiyasoonthorn Singha Chaveesuk

Human Factors

An Experimental Study to Investigate Personality Traits on Pair Programming Efficiency in Extreme

Programming 95

Ramlall Poonam Chuttur M Yasser

Intention of Opening Up the Network of Personal Data 100

Mao-Sung Chen Tung-Kuan Liu Ming-Tien Tsai

The Differences of Individual Spatial Strategy on Their Solving Performance 105

Sakulporn Pornpanom Arisara Jiamsanguanwong

v

Understanding the Model of User Satisfaction in Using Cloud Storage Systems of Employees in Thailand A

Conceptual Framework 110

Kulapa Najantong Singha Chaveesuk Wornchanok Chaiyasoonthorn

Evaluating Variables That Affect Job Satisfaction of Bank Customer Contact Centre Agents in South Africa

116

Eveth Nwobodo-Anyadiegwu Charles Mbohwa Nokukhanya Ndlovu

Information Processing and Engineering

Real-time Localization and Navigation in an Indoor Environment Using Monocular Camera for Visually

Impaired 122

Kruthika Ramesh Nagananda S N Hariharan Ramasangu Rohini Deshpande

Experiment and Optimization of Magnetostrictive for Long Time Operation to Find Amplitude of Vibration

and Thermal Limit 129

Nuttakorn Pukseesang Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa

Some Methods for Measuring the Efficiency of Firms Utilizing Different Technologies 134

Soobin Choi Jaedong Kim Hanjun Lee

Core Challenges to Cloud PLM Adoption in Large Manufacturing Firms 141

Shikha Singh Subhas Chandra Misra

Intelligent Systems

Visual and Hearing Detection Capabilities to Discriminate whether a UAV Invade a Campus Airspace 146

S J Chang K W Li

Reflections on Facilitating the Development of ldquoInternet Plusrdquo Intelligent Manufacturing in China 150

Yong Tao Gang Zhao Qiushi Li Wen Zhao

A Study of Small Complicated Axisymmetric Parts Manufacturing in Industry 40 158

Chengcheng Zhu Shengdun Zhao Shuaipeng Li

Voltage Stability in DC Micro Grid by Controlling Two Battery Units with Hybrid Network Systems 163

Adhi Kusmantoro Ardyono Priyadi Mauridhi Hery Purnomo

Design and Implementation of IoT Based Smart Laboratory 169

M Poongothai P Muthu Subramanian A Rajeswari

vi

Analysis of Microwave Precipitation in the Topographic Barrier for the Lifting Condensation Level of Clouds

Formation 174

Supawat Kotchapradit Thanaset Thosdeekoraphat Samran Santalunai Chanchai Thongsopa

Improved Efficiency of Insect Pest Control System by SSPA 179

Phanupong Saeung Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa

Manufacturing Systems

Optimized Information Exchange Process between CAD and CAMmdashEnhanced Data Exchange in the Field of

Joining Technology from the Viewpoint of an Automotive Supplier 184

Alexander Kreis Mario Hirz Severin Stadler

Efficiency Improvement of Door Frame Manufacturing Process in Wood Product Manufacturing Industry

189

Lerdlekha Sriratana

The Structural Design of 3D Print Head and Execution of Printing via the Robotic Arm ABB IRB 140 194

Martin Pollaacutek Jozef Toumlroumlk Jozef Zajac Marek Kočiško Monika Teliškovaacute

Micro-fabrication Method of Au Micro-wire Structures on Substrate by Chemical Printing and Peeling Process

199

Potejana Potejanasak

Evaluation of Thermal Comfort Room Garment Workshop in Textile Vocational School 203

Anastasia Febiyani Bambang Suhardi Eko Pujiyanto

Modular Measuring System for the Force Distribution in Forming Processes 208

W Zorn L Hamm R Elsner W G Drossel

Gravity Filling System of Slurry for Rod Mill Sand with High Concentration and Research on Technical

Transformation in Jinchuan Mine 214

Li Li-Tao Yang Zhi-Qiang Gao Qian Wang Yong-Ding

Defect Reduction in the Board Front Door Trim Manufacturing Process 220

Punyisa Kuendee

Operations Research

Integrated Railway Timetable Scheduling Optimization Model and Rescheduling Recovery Optimization

Model A Systematic Literature Review 226

Erlangga Bayu Setyawan Dida Diah Damayanti

vii

A Comparative Analysis about the Balance Design of the Assembly Line by Branching amp Bound Method and

Lingo Method 231

Jia Shuyuan Huang Li Li Qin Gu Yonghu

The Optimal Routes and Modes Selection in Multimodal Transportation Networks Based on Improved A

Algorithm 236

Yan Liu Lingyun Wei

Industrial Cluster Optimization Based on Linear Programming 241

Roberto Montemanni Jafar Jamal

Multi-objective Joint Optimization of Batch-discrete Hybrid Flow Shop Scheduling Integrated with Machine

Maintenance 247

Yangyang Fei Huimin Ma

Investigating the Interrelationship between Stochastic Aircraft Routing of Airlines and Maintenance Staffing

of Maintenance Providers 254

Felix T S Chan Abdelrahman E E Eltoukhy

An Modified Relax-and-fix Algorithm for the Multi-level Lot-sizing Problem with Replaceablility 262

Mingyuan Wei Yifei Yuan Canrong Zhang

Height-Based Heuristics for Relocating Containers during Loading Operations 268

Yifei Yuan Canrong Zhang Ting Huang

A Record-to-Record Travel Algorithm for Multi-product and Multi-period Inventory Routing Problem 274

Fadillah Ramadhan Arif Imran Afrin Fauzya Rizana

Developing Tabu Search with Intensification and Diversification for the Seriation Problem 279

Pimprapai Thainiam

A Comparative Study of Mixed-Integer Linear Programming and Genetic Algorithms for Solving Binary

Problems 284

Punyisa Kuendee Udom Janjarassuk

Production Planning and Control

Concurrent Optimization of Job Shop Scheduling and Dynamic and Flexible Facility Layout Planning 289

Ryota Kamoshida

Makespan Minimization on Single Batch-processing Machine Considering Preventive Maintenance 294

Jingying Huang Liya Wang

viii

Customer Kansei-Oriented Restaurant Location Evaluation Using Kansei Engineering 299

Yu-Hsiang Hsiao Guan-Ting Chen

An Improvement Scheme for the Overall Line Effectiveness of a Production Line A Case Study 304

Jieli Li Yuhui Jia Binbin Xu Fei Chen Zhaojun Yang Xiaodong Li

An Adjustment Method for Material Inventory Control Decision Considered in Product Life Cycle 310

Jiun-Shiung Lin Jen-Huei Chang i-Yan Yang

Application of a Hidden Markov Model for Consistency Checking of Process Plant Facility Tag NumbersmdashA

Case Study 314

Jayaram Sivaramakrishnan Gareth Lee

Analyzing Circadian Rhythms for Breaktime Schedulling on Night Shift Work 321

Lovely Lady Ansor Firdaus

Resource-Reconfigured Flow Shop Scheduling and Lot-Sizing Problems in Semiconductor Test 326

Yige Zhang Yuangen Lu Cangrong Zhang

Process Flow Improvement in Production of Noise Filter Products through Lean Manufacturing Technique

333

Rattarak Moonpragarn Rungchat Chompu-inwai

Waste Reduction in the Shoe Sewing Factory 340

Pongpat Phetrungrueng

The Joint Replenishment Problem with Resource Restriction A Note 345

M I M Wahab Y Chen

Aggregate Planning in Canned Pineapple Production Lines 349

Datepard Charoenponyarrat Tuanjai Somboonwiwat

Applications of Data Mining

A Research Study on Unsupervised Machine Learning Algorithms for Early Fault Detection in Predictive

Maintenance 355

Nagdev Amruthnath Tarun Gupta

The Analysis of Matching Learners in Pair Programming Using K-Means 362

Naladtaporn Aottiwerch Urachart Kokaew

Machine Learning Based Approach for Demand Forecasting Anti-aircraft Missiles 367

Jaedong Kim Hanjun Lee Soobin Choi

ix

Quality Control and product lifecycle Management

Simultaneous Prediction Interval-Based Multiobjective Solution Approach for Multiple Quality Characteristics

Optimization 373

Abhinav Kumar Sharma Indrajit Mukherjee

The TQM Integration in Procurement Function Performance 378

Bisalyaputra K

Safety Analysis at Weaving Department of PT X Bogor Using Failure Mode and Effect Analysis (FMEA) and

Fault Tree Analysis (FTA) 382

Prima Fithri Nidi Annisa Riva Lusi Susanti Berry Yuliandra

Success Determinants to Product Lifecycle Management (PLM) Performance 386

Shikha Singh Subhas Chandra Misra

Company Performance Measurement for Automobile Companies a Composite Indicator from an

Environmental Perspective 391

Qinqin Zeng Wouter W A Beelaerts van Blokland Sicco C Santema Gabriel Lodewijks

Loss Time Reduction for Improve Overall Equipment Effectiveness (OEE) 396

Kamolchanok Krachangchan Natcha Thawesaengskulthai

Service Innovation and Management

Estimating Diffusion of Technology Using User Perceptual Values A Conceptual Model 401

Chaudry Bilal Ahmad Khan

Implementation of Innovative Digitalization Methods in Reverse Engineering 406

Monika Teliškovaacute Martin Pollaacutek Jozef Toumlroumlk Jakub Kaščaacutek Petr Baron Viktoria Mezencevova

Topological Evolution of Public Transportation Network A Case Study of Bangkok Rail Transit Network 410

Pijaya Na Bangxang Pisit Jarumaneeroj

A Design of Automated Parking System for Shopping Centers in Metro Manila 415

Ma Janice J Gumasing Charles Aaron V Atienza

Design of an Ergonomic Classroom Chair and Desk for Preschool Students of Selected Public Schools in

Cabuyao City Laguna 420

Ezrha C Godilano Mark Kevin G Galang Hazel Elaine O Ramilo Kristian Roi F Velayo

Design of an Ergonomic Wheelbarrow to Reduce Physiological Demands of General Users 424

Ezrha C Godilano Karl Vincent Casas Aubrey Justine Vargas

x

Ergonomic Intervention Addressing Musculoskeletal Disorders among Poultry Layer Workers 429

Ma Janice J Gumasing Rex Aurelius C Robielos

Wristwatch Development Based on Kansei Engineering 435

Imam Djati Widodo Heavy Zerry Novibrilliawan

Innovative Product Development of Fabric Glass Interlayer 440

Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong

Systems Modeling and Simulation

A Simulation Study of Multi-dimensional Clearing Function Considering Degradation for Semiconductor

Manufacturing 448

Jianqiu Huang Jingying Huang Liya Wang

Productivity Improvement of Tapioca Packing Process through Simulation Modeling Analysis 453

Nara Samattapapong

Modelling the Barriers for Mass Adoption of Electric Vehicles in Indian Automotive Sector An Interpretive

Structural Modeling (ISM) Approach 458

Surya Prakash Sameer Sharma Poudel Maheshwar Dwivedy Dilesh Raj Shrestha

Diagnostics of the Wire Coating Production Line by Implementation of Computation Methods 463

Ivan Kuric Miroslav Cisar Ivan Zajacko Tomas Gal

District Model with Two Types of Vehicles for Transporting Sugarcane 468

Rujirat Patcharamethanon Kanchala Sudtachat

Experiment of Induction Heating Application for Heating Multilayer Metallic Hollow Altered Cylinder 475

Jakkarin Srituvanont Thanaset Thosdeekoraphat Chanchai Thongsopa Samran Santalunai

A Framework for Analyzing and Developing Dashboard Templates for Small and Medium Enterprises 479

Wasinee Noonpakdee Thitiporn Khunkornsiri Acharaphun Phothichai Kriangsak Danaisawat

An Economic Order Quantity Model with Continous Quantity Discount and Probabilistic Demand 484

Ardian Rizaldi Ashaeurizky Dilianaputri Fitri A Anugrah Riska Ummaya Senator Nur Bahagia

Technology and Knowledge Management

Analyzing Interdependencies in a Project Portfolio Using Social Network Analysis Metrics 490

Helal Al Zaabi Hamdi Bashir

Sentiment Analysis of Twitter Corpus Related to Artificial Intelligence Assistants 495

Chae Won Park Dae Ryong Seo

xi

Artificial Neural Neural Network Approach for Technology Life Cyle Construction on Patent Data 499

Muhammad Hanif Ramadhan Vialli Ibrahim Malik Teddy Sjafrizal

A Systematic Literature Review on Knowledge Sharing for Innovation Empirical Study Approach 504

Augustina Asih Rumanti T M A Ari Samadhi Iwan Inrawan Wiratmadja Indryati Sunaryo

Belief Representation of Design Mental Model Based on Design Rationale 510

Chen Ying Jing Shikai Wang Yedong Cheng Dada

Study on Teaching Methods of Fundamental Electrical Courses in Engineering Education 515

Jianpei Chen Fei Gao Lingling Kong Lin Cui

Supply Chain Management

Supply Chain Model for Renewable Energy Resource from Biomass in Vietnam 520

Duy Nguyen Duc Narameth Nananukul

Exploring the Implementation of Green Supply Chain with Cluster and Discriminant AnalysismdashCase Study

Furniture Industry at Central Java Semarang 526

Aries Susanty Diana Puspita Sari

Systematic Literature Review and Improved Model for Mitigating Bullwhip Effect in Low Shelf Life Food

Supply Chain 531

Nia Novitasari Dida Diah Damayanti

Supply Chain Management Performance and Partial Least Square-Structural Equation Model An application

to Thai Tourism Supply Chain 536

Daraka Palang Korrakot Yaibuathet Tippayawong

An Economic Competitiveness Analysis of Power Generation Plants 543

Ndala Yves Mulongo Pule Kholopane

Supplier Selection Considering Sustainablitity Criteria by Using A Hybrid Evaluation Method in Printing

Business 548

Onsiree Mananawigapol Chorkaew Jaturanonda Tuanjai Somboonwiwat

Barriers and Drivers of eBIZ Adoption in the Fashion Supply Chain Preliminary Results 555

Bianca Bindi Virginia Fani Romeo Bandinelli Gilda Massa Gessica Ciaccio Arianna Brutti Piero De

Sabbata

A Simulation Analysis on Regional Logistics Development Based on System Dynamics The Case of Yunnan

Province 560

Yinyuan Si Wensheng Yang Huini Zhou

Lenovo
Highlight

xii

A Sustainability Assessment of Electricity Supply Systems 565

Ndala Yves Mulongo Pule Kholopane

Author Index

1040-1210 Friday 27 Apr

Session B-2 Supply Chain Management Venue Lemongrass Room

Chair

N066

Time 1040-1055

A study on Healthcare-product Supply Chain with a group purchasing organization Ms Yin Han Lingyun Wei Beijing University of posts and telecommunications Beijing China

In order to better understand the impact of group purchasing organization (GPO) on healthcare-product supply chain we build a supply chain model consisting of one manufacturer one competitive source one group purchasing organization(GPO) and n healthcare providers for a single product Providers may purchase from any source for minimizing their total costs Through considering different providersrsquo demands power schemes and revenue sharing between GPO and providers we analyze the performance of supply chain and its members under various situations Numerical examples show some interesting findings (1) When GPO dominates the supply chain GPO can obtain more profits (2)When manufacturer dominates the supply chain and GPO shares its revenue with providers there exists specific revenue sharing rates which increase GPOrsquos profits and reduce providersrsquo cost (3) Manufacturer always can achieve a same optimal profit by changing quantity discount rate when GPO dominates supply chain and shares its revenue with providers

N108

Time 1055-1110

Exploring the Implementation of Green Supply Chain with Cluster and Discriminant Analysis Case Study Furniture Industry at Central Java Semarang Dr Aries Susanty Diana Puspitasari Diponegoro Univeristy Indonesia This study has two objectives First this study aims to categorize the level of the implementation of Green Supply Chain Management (GSCM) practice among Small and Medium Enterprises (SMEs) of wooden furniture in several clusters Second this study aims to find the linear combination of five dimensions of GSCM practices that will discriminate best between prior defined clusters The study used primary data through questionnaires enclosed with the Likert scale 1-5 at 162 SMEs of wooden furniture located in Surakarta Jepara Semarang and Kudus The raw data level of implementation of five dimensions of GSCM practice is analyzed using K-Means cluster and discriminant analysis with the aid of the Statistical Package for the Social Sciences (SPSS) software The result of K-Means cluster analysis indicated that a two-cluster is the optimal number of a group for separating the data of the level of implementation of GSSM practice among SMEs of wooden furniture and the two clusters founded in this research are labeled as early adopter and laggards Then the result of the discriminant analysis indicated that as high as 9877 of the SMEs of wooden furniture was classified correctly The result of discriminant analysis also revealed the discriminant function as Z= (0238IEM) + (0602GPU) + (1161CCO) + (1128ECO) + (1126IRE) - 13124 and the threshold for evaluating a discriminant score of

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Conferences gt 2018 5th International Confer

3 Author(s) Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa View All Authors

Demand management practices in the manufacturing industry An empiricalSouth African perspective

38FullText Views

Abstract

Document Sections

I Introduction

II Literature Review

III Methodology

IV Resultsampinterpretations

V Conclusion

Authors

Figures

References

Keywords

Metrics

Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

References

Keywords

Metrics

AbstractThis paper aims to identify and explore Demand Management (DM) practices used within the SouthAfrican Manufacturing industry The study followed a qualitative design approach in order to identifythe relationship between DM methods such as forecasting and the best practices used by therespondents Therefore a purposive sampling technique was used whereby a questionnaire was sentout via email to 15 manufacturing companies before meeting them for a face to face interviewconducted in two weeks Respondents varied from different industries such as automotive wood andpaper chemical food and beverage etc The results demonstrated that although the respondents areaware of the best practices for a good DM system they generally do not apply them entirely becauseof factors like fear of implementing change and failure to quickly adapt themselves to the change thatwould come with those best practices In addition the results also revealed that forecasting is themost used DM method by the respondents and a simple forecasting average is used to predict futuredemand Depending on the company the forecast is done either by a team or by functional areas

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844216

DOI 101109IEA20188387071

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionThe importance of satisfying the customer by meeting the demand has long been recognized bymanagers as crucial to making the organization successful However numerous problems occurand many factors need to be considered in order to give the customer what they want how theywant it as well as where and when they want it Failure to understand crucial characteristics ofdemand will result in supply shortage or excessive stock that will place serious financial burdenson the organization subsequently leading to a loss of market share and customers

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Eric Bakama MikobiDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

Eveth Nwobodo-AnyadiegwuDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

Charles MbohwaDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

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An integrative framework of knowledgemanagement enabled supply chainmanagement2008 IEEE International Conference onIndustrial Engineering and EngineeringManagementPublished 2008

An empirical approach for the application ofknowledge management on downstream supplychain management of Indian public sector oilcompanies2017 Fourteenth International Conference onWireless and Optical Communications Networks(WOCN)Published 2017

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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

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Conferences gt 2018 5th International Confer

2 Author(s) Shikha Singh Subhas Chandra Misra View All Authors

Core challenges to cloud PLM adoption in large manufacturing firms

60FullText Views

Abstract

Document Sections

I Introduction

II Literature Review

III ResearchMethodology

IV Case Study and DataAnalysis

V Result and Discussion

Show Full Outline

Authors

Figures

References

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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

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Metrics

AbstractAs the globalization is at its peak and innovative products are at high demand firms are forced to workin a collaborative manner The product data must be lively available to all the collaborated partnersAlthough on-premise Product Lifecycle Management (PLM) systems are offering the collaborationsand product data management throughout the products lifecycle the Internet of Things (IoT) eraoffers more connectivity at a lesser cost Though most large manufacturing firms have established theon-premise PLM systems yet face some difficulties related to maintenance and upgradations of in-house information technology (IT) infrastructure Hence cloud PLM is under consideration foradoption among many large manufacturing firms However there are several challenges associatedwith cloud PLM adoption decision This work intends to find out the challenges which largemanufacturing firms face while deciding to adopt cloud PLM The empirical investigations have beenattempted to find out the relations among the challenges faced and to provide the guideline on how tofind out the core challenges which needs to be attended before adopting cloud PLM in largemanufacturing firms

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844276

DOI 101109IEA20188387085

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionProduct lifecycle management (PLM) systems are the IT tools [1] which support the PLMbusiness concept [2] to manage the whole lifecycle of a product in firms PLM systems help totransform the organizations into digitized era and make them technologically robust by giving a3D product designing and virtual manufacturing opportunity [3] PLM systems help in substantialcost savings by reducing the real manufacturing efforts Product-related knowledge must need tobe preserved so that it can help in the other phases of product lifecycle such as repair overhaulreuse recycle and or disposal of the product Increasing number of enterprise informationsystems stakeholders and product related information demand the need for a managementapproach which makes the managers capable of managing all the dispersed product informationat one common repository for reuse

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Shikha SinghDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India

Subhas Chandra MisraDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India

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The automation of the technological processesin the Manufacturing Internet of Things contextfor the pharmaceutical enterprises2018 IEEE 9th International Conference onDependable Systems Services andTechnologies (DESSERT)Published 2018

Integration of ERP and Internet of Things inIntelligent Enterprise Management2018 1st International Cognitive CitiesConference (IC3)Published 2018

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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|

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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance

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Conferences gt 2018 5th International Confer

3 Author(s) Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong View All Authors

Innovative product development of fabric glass interlayer

39FullText Views

Abstract

Document Sections

I Introduction

II Methodology

III Conclusion

Authors

Figures

References

Keywords

MetricsPublished in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

References

Keywords

Metrics

AbstractA glass manufacturer in Thailand developed the laminated fabric glass as innovative product in 2013but sales had declined in 2016 Customers survey shows that the satisfaction level decreased due tolong production lead time high-selling price and long installation time This paper aims to develop anew innovative fabric glass interlayer product by adopting 5D innovation development process 5Dconsists of Discover Define Design Develop and Deploy Firstly discover phase adopted Five ForcesAnalysis Customer Behavior Analysis and Customers Satisfaction Survey for specifying marketposition and seeking the hidden customers expectations Define is to summarize the project charteras initiation step in the project management and to scope resources and timeframe Design weadopted the integration of QFD Kano Model and Product Quality Index for prioritizing and translatingcustomer expectations to product specifications Then all concepts were concluded by Pugh MatrixWeighted Sum Score and confirmed the selected concept by financial feasibility study Developprocess is to prototyping to verify the production before scale up Finally generated the riskassessment plan by FMEA and contributed the business plan to ensure the effectivecommercialization in Deploy The developed fabric glass interlayer shows higher customer satisfactionlevel by shorten production lead time from 14 days to 8 days (4285) lower price from 790 bahtft to 485 bahtft (3861) and shorten installation time from 180 minutes to 45 minutes (75)

2

2

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844226

DOI 101109IEA20188387141

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionThe case company is one of the glass manufacturers in Thailand who process the fundamentalfunctional building glass tempered and laminated glass for the architectural construction andinterior decoration The companys vision was stated to be the leader of glass innovation within2022 To be the leader of the glass innovation case company should focus on the continuousinnovative product development The mainly innovative product that had been sold for manyyears was the fabric glass as 52 52 and 47 in 2015 2016 and 2017 respectively

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Ploynaplus ThanasirithamDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

Natcha ThawesaengskulthaiDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

Prasert AkkharaprathomphongDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

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Study of a Customer Satisfaction-OrientedModel for Outsourcing Software QualityManagement Using Quality FunctionDeployment (QFD)2008 4th International Conference on WirelessCommunications Networking and MobileComputingPublished 2008

Fuzzy Eco-Design Product Development byUsing Quality Function Deployment2005 4th International Symposium onEnvironmentally Conscious Design and InverseManufacturingPublished 2005

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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|

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Conferences gt 2018 5th International Confer

2 Author(s) Jingying Huang Liya Wang View All Authors

Makespan minimization on single batch-processing machine consideringpreventive maintenance

37FullText Views

Abstract

Document Sections

I Introduction

II Problem Description

III Batching Rule

IV Improved Heuristics

V ComputationalResults andDiscussions

Show Full Outline

Authors

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References

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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

References

Keywords

Metrics

AbstractThis paper considers the problem of minimizing makespan on a single batch-processing machineconsidering preventive maintenance A mathematical model for integrating flexible preventivemaintenance into the batch-processing machine scheduling is proposed A two-stage method isproposed to solve the problem A batching rule considering maintenance is proposed to group jobsinto batches firstly And then we improve existing heuristics to schedule production and maintenanceComputational results indicate that the two-stage method based on proposed batching rule andimproved heuristics is effective

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844275

DOI 101109IEA20188387113

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionBPM (Batch processing machine) problem has attracted many researchers in recent years BPMis able to process a group of jobs as long as the number of jobs in the batch is less than or equalto the capacity of the machine To minimize total flow time Rui Xu [1] proposed an ant colonyalgorithm combined with the candidate list NR Parsa [2] proposed an algorithm using a hybridmax-min ant system AH Kashan [3] proposed a batch based hybrid genetic algorithm thatgenerates random batches of jobs and ensures feasibility To minimize total earliness andtardiness of the jobs NR Parsa [4] proposed a dynamic programming algorithm and severalheuristics BPM problem is practically applied in many manufacturing industries One of them issemiconductor wafer manufacturing industry BPM problem is applied in the furnace area in themanufacturing process of semiconductor wafers The machine is only shared by jobs requiringthe particular processing operation [5] That is in reality only semiconductor wafers with thesame kind of process can be grouped into a batch However the papers above did not take thisconstraint into consideration They assumed the jobs with different processing time can begrouped into the same batches Also the above papers did not consider about maintenancewhen grouping and scheduling jobs

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Jingying HuangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina

Liya WangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina

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ACO-based Parallel Machine SchedulingConsidering Both Setup Time and Run-basedPreventive Maintenance with ReliabilityConstraints2018 IEEE International Conference onIndustrial Engineering and EngineeringManagement (IEEM)Published 2018

MSPT2 Heuristic and Dynamic ProgrammingMethod for the Parallel Machine SchedulingProblem with scheduled PreventiveMaintenance2006 International Conference on ServiceSystems and Service ManagementPublished 2006

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About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|

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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance

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KEYNOTE AND INVITE SPEAKERS

Keynote Speech

Keynote Speech ndashI

Abstract of speech

Many products are designed to last longer than

the typical lifespan of human being Its thus a

challenge to validate the design life through

reliability tests even when testing is conducted

under much harsher environment Not only that

test duration is usually constrained but the

samples available for testing may also be costly

andor limited in quantity Statistically optimal

plans will allow for efficient use of testing

resources and yet derive the most information

from the test In this presentation we shall

discuss ideas related to designing test plans for

both constant stress and step stress ALT leading

to the statistical optimal plan for sequential ALT

While that of constant ALT is basically a Bayesian

approach that for the step stress ALT requires

solving a dynamic program using backward

induction For the latter optimal solutions are

only available for exponential lifetime and there

are rooms for further research

Loon Ching TANG

BIO Dr Loon Ching TANG is currently the Director of

Temasek Defence Systems Institute and Professor of

Department of Industrial Systems Engineering and

Management at the National University of Singapore

He obtained his PhD degree from Cornell University in

the field of Operations Research in 1992 and has

published extensively in areas related to industrial

engineering and operations research He has been

presented with a number of best paper awards

including the IIE Transactions 2010 Best Application

Paper Award and 2012 RA EvansPK McElroy Award

for the best paper at Annual RAMS Prof Tang is the

main author of the award-winning book Six Sigma

Advanced Tools for Black Belts and Master Black Belts

Besides being active in the forefront of academic

research in the last 25 years Prof Tang has served as

consultant for many organizations such as the

Ministry of Home Affair Singapore Power Republic of

Singapore Air Force Seagate HP Phillips etc on a

wide range of projects aiming at improving

organizational and operations efficiency especially

through better management of engineering assets He

is currently a fellow of ISEAM the Editor of Quality amp

Reliability Engineering International and an editorial

review board member of the flagship journal of ASQ

Journal of Quality Technology (since 2006) He has

served as the Region VP (Asia) of IIE (2013-16) and a

member of the advisory board of the Singapore

Innovation and Productivity Institute

Apr 26(Thu) 2018 1305-1350

Auditorium Room

ldquoPlanning Sequential Accelerated Life Testingrdquo

Prof Loon Ching TANG

National University of Singapore Singapore

Lenovo
Highlight

Keynote Speech ndashII

George ZHANG

BIO Professor Zhe George Zhang is a professor of

Management Science in the Department of Decision

Sciences at Western Washington University and a

professor of Operations Management in Beedie

School of Business at Simon Fraser University He is

also visiting professor of Sauder School of Business

at the University of British Columbia Dr Zhang

received his BS in Computer Science and MA in

Economics from Nankai University China his MBA

from the Schulich School of Business at York

University and his PhD in Operations research from

the University of Waterloo Professor Zhang has

published many papers in prestigious journals such

as Management Science Operations Research

Manufacturing amp Service Operations Management

Production and Operations Management IIE

Transactions IEEE Transactions Queueing Systems

Journal of Applied Probability Co-authored with

Professor Tian in 2006 he published the research

monograph Vacation Queueing Models - Theory

and Applications the first book on this particular

topic (now highly cited) Professor Zhangs research

interests include queueing theory and applications

and stochastic models for manufacturing and

service systems The main theme of his research is

to bridge the gap between theory and application

obtaining unobservable and sometimes

counter-intuitive but significantpractical

management insights via modeling and quantitative

analysis Currently he is particularly interested in

the quantitative and economic analysis of the

congestion problems in urbanmass transportation

networks healthmedical care systems and public

service systems with both customer service quality

and security concerns As an expert in data analysis

and quantitative modeling he has consulted in

industry and has given research seminars and short

lectures at leading universities around the world He

was invited to present plenary or keynote talks in

several international conferences Professor Zhang

is the one of Editor-in-Chiefs for new journal

Queueing Models and Service Management aan

associate editor of INFOR (Information Systems and

Operations Research) and is on the editorial board

of several international journals in Operations

Research and Management Science

Apr 26(Thu) 2018 1350-1435

Auditorium Room

ldquordquo

Prof George ZHANG

Western Washington University USA

Lenovo
Highlight

Keynote Speech ndashIII

Abstract of speech

The purpose of this paper is to investigate the

generalized age maintenance policies for a system

with random working times When the system fails

it is subject to one of two types of failures with

age-dependent probability type I failure can be

removed by minimal repair and type II failure must

be rectified by replacementA First the system is

preventively replaced before type II failure at time T

or at the completion of Nth working projects

whichever occurs first Two modified models where

the system is preventively replaced before type II

failure at time T or at the completion of Nth

working projects whichever occurs last and it is

preventively replaced at the first completion of the

working project over time T or at the completion of

Nth working projects whichever occurs first are

considered By introducing costs due to repairs

maintenance and replacement the expected cost

per unit time is derived as a criterion of optimality

and the optimal policy that minimizes that cost is

discussed analytically

Shey-Huei SHEU

BIO Professor Shey-Huei Sheu is a Chair Professor

of Department of Statistics and Informatics Science

at the Providence University He is an Honorary

Chair Professor of the Department of Industrial

Management at the National Taiwan University of

Science and Technology He received his MS

degree (1979) in applied mathematics from the

National Tsing Hua University and his PhD degree

(1987) in statistics from the University of Kentucky

He has published in journals such as Naval Research

Logistics Journal of Applied Probability RAIRO

Operations Research Microelectronics and

Reliability Reliability Engineering and System Safety

International Journal of Systems Science Quality

and Reliability Engineering International

International Journal of Reliability Quality and

Safety Engineering Journal of the Operational

Research Society European Journal of the

Operational Research Computers and Operation

Research Computers and Industrial Engineering

Quality Engineering Asia-Pacific Journal of the

Operational Research Communications in

Statistics-Theory and Methods Computers and

Mathematics with Applications Simulation

Modeling Practice and Theory Communications in

Statistics-Simulation and Computation Journal of

Statistical Computation and Simulation

International Journal of Production Economics

Quality Technology and Quantitative Management

The International Journal of Advanced

Manufacturing Technology Expert Systems

International Journal of Computer Mathematics

Journal of Applied Statistics Production Planning

and Control International Journal of Production

Research Applied Mathematical Modelling IEEE

Transactions on Reliability and Annals of

Operations Research

Apr 26(Thu) 2018 1435-1520

Auditorium Room

ldquoThe Generalized Age Maintenance Policies with

Random Working Timesrdquo

Prof Shey-Huei SHEU

Providence University Taiwan

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Highlight

Keynote Speech ndashIV

Abstract of speech

IEEE 80211ah a specification belonging to 80211

wireless local area network (WLAN) protocol family

has been recently released to support the

long-range low-power and low-rate wireless

communication among smart devices used in

Internet of Thing (IoT) systems However security

requirements of the energy-constrained devices

have plenty of issues different from the traditional

wireless devices It requires that the lightweight

security protocols have to support low-power and

low-latency as well as the long-lasting features of

quantities of IoT devices The recently released IEEE

statndard IEEE 80211ai has specified a Fast Initial

Link Setup (FILS) which is a brand-new approach

aiming at establishing fast stable and secure links

among smart devices IEEE 80211ai could be applied

to other wireless systems such as the wireless

system of IEEE 80211ah with security

enhancements In this talk I would address the

secureity issues of IEEE 80211ai and IEEE 80211ah

with an new proposal to enhance the

authentication process in the link setup procedure

specified by IEEE 80211ai

Maode MA

BIO Dr Maode Ma is a Fellow of IET He received his

PhD degree in computer science from Hong Kong

University of Science and Technology in 1999 Now

Dr Ma is an Associate Professor in the School of

Electrical and Electronic Engineering at Nanyang

Technological University in Singapore He has

extensive research interests including network

security and wireless networking Dr Ma has about

350 international academic publications including

over 160 journal papers and about 190 conference

papers He has delivered over 50 keynote speeches

at various international conferences He has served

as various chairs for over 100 international

conferences He currently serves as the

Editor-in-Chief of International Journal of Computer

and Communication Engineering and International

Journal of Electronic Transport He also serves as a

Senior Editor or an Associate Editor for other 4

international academic journals Dr Ma is a Senior

Member of IEEE Communication Society and IEEE

Education Society and a Member of ACM He is the

Chair of the IEEE Education Society Singapore

Chapter and the Chair of the ACM Singapore

Chapter He has served as an IEEE Communication

Society Distinguished Lecturer from 2013-2016

Apr 26(Thu) 2018 1530-1615

Auditorium Room

ldquoEfficient and Secure Authentication Schemes for

IEEE 80211ah Networks rdquo

Prof Maode MA

Nanyang Technological University Singapore

Lenovo
Highlight

Keynote Speech ndashV

Abstract of speech

Stochastic aircraft routing (SAR) plays a critical role

in defining the routing plans of airlines which

include assigning the aircraft to flight legs and

determining the time and location of maintenance

to the aircraft Based on the routing plan specified

by the airlines the maintenance providers should

schedule their workforce to perform maintenance

operations by solving the maintenance staffing

problem (MSP) MSP helps maintenance providers

to build their staffing plans which include the

assignment of manpower to each aircraft so that

aircraft receive the required maintenance

operations as planned Practically for airlines the

routing plan will be interrupted (eg flight delays) if

an aircraft cannot be released from the

maintenance station punctually Similarly for

maintenance providers if an aircraft misses the

scheduled appointment at the maintenance station

this will also cause a huge interruption to their

staffing plan Therefore there is an interrelationship

between SAR and MSP In the literature the focus

of each problem has been traditionally considered

separately with only limited consideration of their

interrelationship In this paper we study SAR along

with MSP with the objective of investigating the

interrelationship between SAR and MSP For this

purpose we propose a coordinated configuration

of SAR and MSP that is formulated as a

leader-follower Stackelbery game in which SAR

acts as a leader and MSP acts as a follower This

game is enacted through a bi-level optimization

model which is solved by a bi-level nested ant

colony optimization (ACO) algorithm A case study

of a major airline and maintenance provider located

in the Middle East is presented to demonstrate the

feasibility and potential of the proposed model The

results demonstrate significant saving in the costs

of both companies

Felix TS CHAN

BIO Professor Felix T S Chan received his BSc

Degree in Mechanical Engineering from Brighton

Polytechnic (now University) UK and obtained his

MSc and PhD in Manufacturing Engineering from

the Imperial College of Science and Technology

University of London UK Professor Chan is now

working at the Department of Industrial and

Systems Engineering The Hong Kong Polytechnic

University and also serving as Associate Dean

(Research) at the Faculty of Engineering His current

research interests are Logistics and Supply Chain

Management Operations Management

Distribution Coordination Systems Modelling and

Simulation AI Optimisation To date he has

published 16 book chapters over 300 refereed

international journal papers and 250 peer reviewed

international conference papers h index= 30 under

the Web of Science He is a chartered member of

the Chartered Institute of Logistics and Transport in

Hong Kong According to a study lately published in

the International Journal of Production Research

(httpdxdoiorg1010800020754320151037935)

the study measured the research contributions over

a 26-year time frame (1985-2010) of academic

institutions and individual authors to the field of

Apr 26(Thu) 2018 1615-1700

Auditorium Room

ldquoInvestigating the Interrelationship between

Stochastic Aircraft Routing of Airlines and

Maintenance Staffing of Maintenance Providersrdquo

Prof Felix TS CHAN

The Hong Kong Polytechnic University Hong Kong

Lenovo
Highlight

Operations Management (OM) based on published

articles in 11 top-rated and well-known academic OM

journals Professor Chan was among the top 50

prolific authors list who have made the greatest

overall contribution to the field as measured by the

number of distributed and shared articles published

in the 11 designated journals Also Professor Chan

was Ranked No 3 in The top 100 authors as the

most productive researchers in the field of

Operations Management over the past 10 years

(2001-2010)

COMMITTEE

ICIEA 2018 Organizing Committee

International Advisory Committee

Zhe George Zhang Western Washington University USA

Conference Chairs

Felix T S Chan The Hong Kong Polytechnic University Hong Kong

Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan

Local Organizing Chair

TANG Loon Ching National University of Singapore Singapore

Organizing and Program Committees

Seoung Bum Kim School of Industrial Mangement Engineering Korea University

Usik Lee Inha University Korea

Maode Ma Nanyang Technological University Singapore

Finance Chair

Minghan Xi Dalian Maritime University China

International Technical Committees

Cheng-Feng HuNational Chiayi University Taiwan

Dong-Yuh YangNational Taipei University of Business Taiwan

Mario HirzGraz University of Technology Austria

Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt

Po-Hsiang Liu College of Business and Management in St Johns University USA

Taesu Cheong Korea University Korea

Tien-Lun Liu Chung Yuan Christian University Taiwan

Wei CaiWuhan University of Technology China

Jinguo Huang Huazhong University of Science and Technology China

Yu-Chung Tsao National Taiwan University of Science Technology Taiwan

Yip Mum WaiTunku Abdul Rahman University College Malaysia

Pule Kholopane University of Johannesburg South Africa

Bonivasius Prasetya Ichtiarto mercu buana university Indonesia

Elita Amrina Andalas University Indonesia

Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan

Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong

Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia

Lenovo
Highlight
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Highlight
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Highlight
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Highlight

Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India

Byung Do Chung Yonsei University Korea

M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia

Sandeep Singhal National Institute of Technology India

J W Wang The University of Hong Kong Hong Kong

Ching-Chang Kuo National Taichung University of Science and Technology Taiwan

Kuo-Hsiung Wang Providence University Taiwan

ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia

Sangbok Lee Hansung University Korea

Adrian E Coronado Mondragon Royal Holloway University of London UK

Chin-I Lee Ling Tung University Taiwan

S H ChoiUniversity of Hong Kong Hong Kong

Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan

Wei Cai Wuhan University of Technology China

Hashibah Hamid Universiti Utara Malaysia Malaysia

TMA Ari Samadhi Bandung Institute of Technology Indonesia

Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia

Pi-Chun Hsu Chaoyang University of Technology Taiwan

Mu-Chen Chen National Chiao Tung University Taiwan

Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan

Tsu-Wei Yu Chaoyang University of Technology Taiwan

Lingyun Wei Beijing University of Posts and Telecommunications China

Hamdi Bashir University of sharjahUnited Arab Emirates

LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand

LIU Hai-peng Kunming University of Science and Technology China

Elfira Febriani Trisakti University Indonesia

Yu-Hsiang Hsiao National Taipei University Taiwan

Chien-Chih Wang Ming Chi University of Technology Taiwan

Atichart Harncharnchai Chiang Mai University Thailand

Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)

Switzerland

Bambang Suhardi Universitas Sebelas Maret Indonesia

Ssu Han Chen Ming Chi University of Technology Taiwan

Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia

Augustina Asih Rumanti Bandung Institute of Technology Indonesia

Maheshwar Dwivedy BML Munjal University India

Zhichuan Guan China university of petroleum (East China) China

Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia

Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia

Yenming J Chen National Kaohsiung University of Science and Technology Taiwan

Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia

TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand

Li Li Nanjing University of Science and Technology China

SERTIFIKAT

Page 9: Nilai Maksimal Prosiding - eprints.undip.ac.ideprints.undip.ac.id/70482/1/...of_GSCM_practice_peer_review_lengkap.pdf · discriminant function as Z= (0.238-IeM) + (0.602-GPU) + (1.161-CCO)

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use of cookies

COVER DAFTAR ISI DAN BUKTI PESERTA DARI EMPAT

NEGARA

2018 The 5th International

Conference on Industrial

Engineering and Applications

Technical Program

April 26-28 2018

Shaw Foundation Alumni House National University of Singapore

Singapore

wwwicieaorg

Sponsored by Assisted by

ICIEA

2018

iii

2018 5th International Conference on Industrial Engineering and Applications

ICIEA 2018Table of Contents

Decision Analysis and Methods

Towards a Decision Support Approach for Selecting Physical Objects in Collaborative Supply Chain Processes

for Cyber Physical System-Transformation 1

Endric Hetterscheid Florian Schluumlter

Decision Support System for Inventory Control of Raw Materialmdash(Case Study PT Suwarni Agro Mandiri Plant

Pariaman Indonesia) 6

Difana Meilani Amelia Andiningtias Dicky Fatrias

Integration AHP and TOPSIS in Shipyard Location Selection 11

Ali Parkhan Aldrin Daeng Vatimbing Imam Djati Widodo

E-Business and E-Commerce

Inventory Management in E-commerce Supply Chain with Lateral Transshipment and Quick Response17

Xueqing Yu Lingyun Wei

Impact of Recommender Systems on Unplanned Purchase Behaviours in e-Commerce 21

Zhang Ying Chen Caixia Gu Wen Liu Xiaogang

Evaluating and Analyzing the Effectiveness of Online Advertising31

Huini Zhou Li Li Xiaoguang Gu

Micro Enterprise and e-Commerce Platform Literature Review and Agenda for Future Research 38

Clara Linggaputri Isti Surjandari Akhmad Hidayatno

Prefacehelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellipxiii

Conference Committeeshelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellipxiv

iv

Global Manufacturing and Engineering Economics

Optimal Manufacturing Outsourcing Decision Based on the Degree of Manufacturing Process

Standardization49

PingYu Chang Thi Thanh Nhan Phan

A Functional Design of a Cost Benefit Analysis Methodology for Transport Infrastructure Projects54

Tiep Nguyen Stephen Cook Indra Gunawan

Demand Management Practices in the Manufacturing Industry An Empirical South African Perspective 60

Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa

Healthcare Systems and Management

A Study on Healthcare-product Supply Chain with a Group Purchasing Organization67

Yin Han Lingyun Wei

A Study on Shortage of Hospital Beds in the Philippines Using System Dynamics 72

Josephine D German John Karlo P Mintildea Claudine Mae N Alfonso Kang-Hung Yang

Research on Health Monitoring Mechanism Based on Service Invocation79

Xuan Mei Xinming Tan

Business Process Reengineering for the Saline Management in Hospitals84

Sith Vilasdechanon Apichat Sopadang

The Acceptance Model of Hospital Information Systems in Thailand A Conceptual Framework Extending

TAM89

Paneepan Sombat Wornchanok Chaiyasoonthorn Singha Chaveesuk

Human Factors

An Experimental Study to Investigate Personality Traits on Pair Programming Efficiency in Extreme

Programming 95

Ramlall Poonam Chuttur M Yasser

Intention of Opening Up the Network of Personal Data 100

Mao-Sung Chen Tung-Kuan Liu Ming-Tien Tsai

The Differences of Individual Spatial Strategy on Their Solving Performance 105

Sakulporn Pornpanom Arisara Jiamsanguanwong

v

Understanding the Model of User Satisfaction in Using Cloud Storage Systems of Employees in Thailand A

Conceptual Framework 110

Kulapa Najantong Singha Chaveesuk Wornchanok Chaiyasoonthorn

Evaluating Variables That Affect Job Satisfaction of Bank Customer Contact Centre Agents in South Africa

116

Eveth Nwobodo-Anyadiegwu Charles Mbohwa Nokukhanya Ndlovu

Information Processing and Engineering

Real-time Localization and Navigation in an Indoor Environment Using Monocular Camera for Visually

Impaired 122

Kruthika Ramesh Nagananda S N Hariharan Ramasangu Rohini Deshpande

Experiment and Optimization of Magnetostrictive for Long Time Operation to Find Amplitude of Vibration

and Thermal Limit 129

Nuttakorn Pukseesang Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa

Some Methods for Measuring the Efficiency of Firms Utilizing Different Technologies 134

Soobin Choi Jaedong Kim Hanjun Lee

Core Challenges to Cloud PLM Adoption in Large Manufacturing Firms 141

Shikha Singh Subhas Chandra Misra

Intelligent Systems

Visual and Hearing Detection Capabilities to Discriminate whether a UAV Invade a Campus Airspace 146

S J Chang K W Li

Reflections on Facilitating the Development of ldquoInternet Plusrdquo Intelligent Manufacturing in China 150

Yong Tao Gang Zhao Qiushi Li Wen Zhao

A Study of Small Complicated Axisymmetric Parts Manufacturing in Industry 40 158

Chengcheng Zhu Shengdun Zhao Shuaipeng Li

Voltage Stability in DC Micro Grid by Controlling Two Battery Units with Hybrid Network Systems 163

Adhi Kusmantoro Ardyono Priyadi Mauridhi Hery Purnomo

Design and Implementation of IoT Based Smart Laboratory 169

M Poongothai P Muthu Subramanian A Rajeswari

vi

Analysis of Microwave Precipitation in the Topographic Barrier for the Lifting Condensation Level of Clouds

Formation 174

Supawat Kotchapradit Thanaset Thosdeekoraphat Samran Santalunai Chanchai Thongsopa

Improved Efficiency of Insect Pest Control System by SSPA 179

Phanupong Saeung Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa

Manufacturing Systems

Optimized Information Exchange Process between CAD and CAMmdashEnhanced Data Exchange in the Field of

Joining Technology from the Viewpoint of an Automotive Supplier 184

Alexander Kreis Mario Hirz Severin Stadler

Efficiency Improvement of Door Frame Manufacturing Process in Wood Product Manufacturing Industry

189

Lerdlekha Sriratana

The Structural Design of 3D Print Head and Execution of Printing via the Robotic Arm ABB IRB 140 194

Martin Pollaacutek Jozef Toumlroumlk Jozef Zajac Marek Kočiško Monika Teliškovaacute

Micro-fabrication Method of Au Micro-wire Structures on Substrate by Chemical Printing and Peeling Process

199

Potejana Potejanasak

Evaluation of Thermal Comfort Room Garment Workshop in Textile Vocational School 203

Anastasia Febiyani Bambang Suhardi Eko Pujiyanto

Modular Measuring System for the Force Distribution in Forming Processes 208

W Zorn L Hamm R Elsner W G Drossel

Gravity Filling System of Slurry for Rod Mill Sand with High Concentration and Research on Technical

Transformation in Jinchuan Mine 214

Li Li-Tao Yang Zhi-Qiang Gao Qian Wang Yong-Ding

Defect Reduction in the Board Front Door Trim Manufacturing Process 220

Punyisa Kuendee

Operations Research

Integrated Railway Timetable Scheduling Optimization Model and Rescheduling Recovery Optimization

Model A Systematic Literature Review 226

Erlangga Bayu Setyawan Dida Diah Damayanti

vii

A Comparative Analysis about the Balance Design of the Assembly Line by Branching amp Bound Method and

Lingo Method 231

Jia Shuyuan Huang Li Li Qin Gu Yonghu

The Optimal Routes and Modes Selection in Multimodal Transportation Networks Based on Improved A

Algorithm 236

Yan Liu Lingyun Wei

Industrial Cluster Optimization Based on Linear Programming 241

Roberto Montemanni Jafar Jamal

Multi-objective Joint Optimization of Batch-discrete Hybrid Flow Shop Scheduling Integrated with Machine

Maintenance 247

Yangyang Fei Huimin Ma

Investigating the Interrelationship between Stochastic Aircraft Routing of Airlines and Maintenance Staffing

of Maintenance Providers 254

Felix T S Chan Abdelrahman E E Eltoukhy

An Modified Relax-and-fix Algorithm for the Multi-level Lot-sizing Problem with Replaceablility 262

Mingyuan Wei Yifei Yuan Canrong Zhang

Height-Based Heuristics for Relocating Containers during Loading Operations 268

Yifei Yuan Canrong Zhang Ting Huang

A Record-to-Record Travel Algorithm for Multi-product and Multi-period Inventory Routing Problem 274

Fadillah Ramadhan Arif Imran Afrin Fauzya Rizana

Developing Tabu Search with Intensification and Diversification for the Seriation Problem 279

Pimprapai Thainiam

A Comparative Study of Mixed-Integer Linear Programming and Genetic Algorithms for Solving Binary

Problems 284

Punyisa Kuendee Udom Janjarassuk

Production Planning and Control

Concurrent Optimization of Job Shop Scheduling and Dynamic and Flexible Facility Layout Planning 289

Ryota Kamoshida

Makespan Minimization on Single Batch-processing Machine Considering Preventive Maintenance 294

Jingying Huang Liya Wang

viii

Customer Kansei-Oriented Restaurant Location Evaluation Using Kansei Engineering 299

Yu-Hsiang Hsiao Guan-Ting Chen

An Improvement Scheme for the Overall Line Effectiveness of a Production Line A Case Study 304

Jieli Li Yuhui Jia Binbin Xu Fei Chen Zhaojun Yang Xiaodong Li

An Adjustment Method for Material Inventory Control Decision Considered in Product Life Cycle 310

Jiun-Shiung Lin Jen-Huei Chang i-Yan Yang

Application of a Hidden Markov Model for Consistency Checking of Process Plant Facility Tag NumbersmdashA

Case Study 314

Jayaram Sivaramakrishnan Gareth Lee

Analyzing Circadian Rhythms for Breaktime Schedulling on Night Shift Work 321

Lovely Lady Ansor Firdaus

Resource-Reconfigured Flow Shop Scheduling and Lot-Sizing Problems in Semiconductor Test 326

Yige Zhang Yuangen Lu Cangrong Zhang

Process Flow Improvement in Production of Noise Filter Products through Lean Manufacturing Technique

333

Rattarak Moonpragarn Rungchat Chompu-inwai

Waste Reduction in the Shoe Sewing Factory 340

Pongpat Phetrungrueng

The Joint Replenishment Problem with Resource Restriction A Note 345

M I M Wahab Y Chen

Aggregate Planning in Canned Pineapple Production Lines 349

Datepard Charoenponyarrat Tuanjai Somboonwiwat

Applications of Data Mining

A Research Study on Unsupervised Machine Learning Algorithms for Early Fault Detection in Predictive

Maintenance 355

Nagdev Amruthnath Tarun Gupta

The Analysis of Matching Learners in Pair Programming Using K-Means 362

Naladtaporn Aottiwerch Urachart Kokaew

Machine Learning Based Approach for Demand Forecasting Anti-aircraft Missiles 367

Jaedong Kim Hanjun Lee Soobin Choi

ix

Quality Control and product lifecycle Management

Simultaneous Prediction Interval-Based Multiobjective Solution Approach for Multiple Quality Characteristics

Optimization 373

Abhinav Kumar Sharma Indrajit Mukherjee

The TQM Integration in Procurement Function Performance 378

Bisalyaputra K

Safety Analysis at Weaving Department of PT X Bogor Using Failure Mode and Effect Analysis (FMEA) and

Fault Tree Analysis (FTA) 382

Prima Fithri Nidi Annisa Riva Lusi Susanti Berry Yuliandra

Success Determinants to Product Lifecycle Management (PLM) Performance 386

Shikha Singh Subhas Chandra Misra

Company Performance Measurement for Automobile Companies a Composite Indicator from an

Environmental Perspective 391

Qinqin Zeng Wouter W A Beelaerts van Blokland Sicco C Santema Gabriel Lodewijks

Loss Time Reduction for Improve Overall Equipment Effectiveness (OEE) 396

Kamolchanok Krachangchan Natcha Thawesaengskulthai

Service Innovation and Management

Estimating Diffusion of Technology Using User Perceptual Values A Conceptual Model 401

Chaudry Bilal Ahmad Khan

Implementation of Innovative Digitalization Methods in Reverse Engineering 406

Monika Teliškovaacute Martin Pollaacutek Jozef Toumlroumlk Jakub Kaščaacutek Petr Baron Viktoria Mezencevova

Topological Evolution of Public Transportation Network A Case Study of Bangkok Rail Transit Network 410

Pijaya Na Bangxang Pisit Jarumaneeroj

A Design of Automated Parking System for Shopping Centers in Metro Manila 415

Ma Janice J Gumasing Charles Aaron V Atienza

Design of an Ergonomic Classroom Chair and Desk for Preschool Students of Selected Public Schools in

Cabuyao City Laguna 420

Ezrha C Godilano Mark Kevin G Galang Hazel Elaine O Ramilo Kristian Roi F Velayo

Design of an Ergonomic Wheelbarrow to Reduce Physiological Demands of General Users 424

Ezrha C Godilano Karl Vincent Casas Aubrey Justine Vargas

x

Ergonomic Intervention Addressing Musculoskeletal Disorders among Poultry Layer Workers 429

Ma Janice J Gumasing Rex Aurelius C Robielos

Wristwatch Development Based on Kansei Engineering 435

Imam Djati Widodo Heavy Zerry Novibrilliawan

Innovative Product Development of Fabric Glass Interlayer 440

Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong

Systems Modeling and Simulation

A Simulation Study of Multi-dimensional Clearing Function Considering Degradation for Semiconductor

Manufacturing 448

Jianqiu Huang Jingying Huang Liya Wang

Productivity Improvement of Tapioca Packing Process through Simulation Modeling Analysis 453

Nara Samattapapong

Modelling the Barriers for Mass Adoption of Electric Vehicles in Indian Automotive Sector An Interpretive

Structural Modeling (ISM) Approach 458

Surya Prakash Sameer Sharma Poudel Maheshwar Dwivedy Dilesh Raj Shrestha

Diagnostics of the Wire Coating Production Line by Implementation of Computation Methods 463

Ivan Kuric Miroslav Cisar Ivan Zajacko Tomas Gal

District Model with Two Types of Vehicles for Transporting Sugarcane 468

Rujirat Patcharamethanon Kanchala Sudtachat

Experiment of Induction Heating Application for Heating Multilayer Metallic Hollow Altered Cylinder 475

Jakkarin Srituvanont Thanaset Thosdeekoraphat Chanchai Thongsopa Samran Santalunai

A Framework for Analyzing and Developing Dashboard Templates for Small and Medium Enterprises 479

Wasinee Noonpakdee Thitiporn Khunkornsiri Acharaphun Phothichai Kriangsak Danaisawat

An Economic Order Quantity Model with Continous Quantity Discount and Probabilistic Demand 484

Ardian Rizaldi Ashaeurizky Dilianaputri Fitri A Anugrah Riska Ummaya Senator Nur Bahagia

Technology and Knowledge Management

Analyzing Interdependencies in a Project Portfolio Using Social Network Analysis Metrics 490

Helal Al Zaabi Hamdi Bashir

Sentiment Analysis of Twitter Corpus Related to Artificial Intelligence Assistants 495

Chae Won Park Dae Ryong Seo

xi

Artificial Neural Neural Network Approach for Technology Life Cyle Construction on Patent Data 499

Muhammad Hanif Ramadhan Vialli Ibrahim Malik Teddy Sjafrizal

A Systematic Literature Review on Knowledge Sharing for Innovation Empirical Study Approach 504

Augustina Asih Rumanti T M A Ari Samadhi Iwan Inrawan Wiratmadja Indryati Sunaryo

Belief Representation of Design Mental Model Based on Design Rationale 510

Chen Ying Jing Shikai Wang Yedong Cheng Dada

Study on Teaching Methods of Fundamental Electrical Courses in Engineering Education 515

Jianpei Chen Fei Gao Lingling Kong Lin Cui

Supply Chain Management

Supply Chain Model for Renewable Energy Resource from Biomass in Vietnam 520

Duy Nguyen Duc Narameth Nananukul

Exploring the Implementation of Green Supply Chain with Cluster and Discriminant AnalysismdashCase Study

Furniture Industry at Central Java Semarang 526

Aries Susanty Diana Puspita Sari

Systematic Literature Review and Improved Model for Mitigating Bullwhip Effect in Low Shelf Life Food

Supply Chain 531

Nia Novitasari Dida Diah Damayanti

Supply Chain Management Performance and Partial Least Square-Structural Equation Model An application

to Thai Tourism Supply Chain 536

Daraka Palang Korrakot Yaibuathet Tippayawong

An Economic Competitiveness Analysis of Power Generation Plants 543

Ndala Yves Mulongo Pule Kholopane

Supplier Selection Considering Sustainablitity Criteria by Using A Hybrid Evaluation Method in Printing

Business 548

Onsiree Mananawigapol Chorkaew Jaturanonda Tuanjai Somboonwiwat

Barriers and Drivers of eBIZ Adoption in the Fashion Supply Chain Preliminary Results 555

Bianca Bindi Virginia Fani Romeo Bandinelli Gilda Massa Gessica Ciaccio Arianna Brutti Piero De

Sabbata

A Simulation Analysis on Regional Logistics Development Based on System Dynamics The Case of Yunnan

Province 560

Yinyuan Si Wensheng Yang Huini Zhou

Lenovo
Highlight

xii

A Sustainability Assessment of Electricity Supply Systems 565

Ndala Yves Mulongo Pule Kholopane

Author Index

1040-1210 Friday 27 Apr

Session B-2 Supply Chain Management Venue Lemongrass Room

Chair

N066

Time 1040-1055

A study on Healthcare-product Supply Chain with a group purchasing organization Ms Yin Han Lingyun Wei Beijing University of posts and telecommunications Beijing China

In order to better understand the impact of group purchasing organization (GPO) on healthcare-product supply chain we build a supply chain model consisting of one manufacturer one competitive source one group purchasing organization(GPO) and n healthcare providers for a single product Providers may purchase from any source for minimizing their total costs Through considering different providersrsquo demands power schemes and revenue sharing between GPO and providers we analyze the performance of supply chain and its members under various situations Numerical examples show some interesting findings (1) When GPO dominates the supply chain GPO can obtain more profits (2)When manufacturer dominates the supply chain and GPO shares its revenue with providers there exists specific revenue sharing rates which increase GPOrsquos profits and reduce providersrsquo cost (3) Manufacturer always can achieve a same optimal profit by changing quantity discount rate when GPO dominates supply chain and shares its revenue with providers

N108

Time 1055-1110

Exploring the Implementation of Green Supply Chain with Cluster and Discriminant Analysis Case Study Furniture Industry at Central Java Semarang Dr Aries Susanty Diana Puspitasari Diponegoro Univeristy Indonesia This study has two objectives First this study aims to categorize the level of the implementation of Green Supply Chain Management (GSCM) practice among Small and Medium Enterprises (SMEs) of wooden furniture in several clusters Second this study aims to find the linear combination of five dimensions of GSCM practices that will discriminate best between prior defined clusters The study used primary data through questionnaires enclosed with the Likert scale 1-5 at 162 SMEs of wooden furniture located in Surakarta Jepara Semarang and Kudus The raw data level of implementation of five dimensions of GSCM practice is analyzed using K-Means cluster and discriminant analysis with the aid of the Statistical Package for the Social Sciences (SPSS) software The result of K-Means cluster analysis indicated that a two-cluster is the optimal number of a group for separating the data of the level of implementation of GSSM practice among SMEs of wooden furniture and the two clusters founded in this research are labeled as early adopter and laggards Then the result of the discriminant analysis indicated that as high as 9877 of the SMEs of wooden furniture was classified correctly The result of discriminant analysis also revealed the discriminant function as Z= (0238IEM) + (0602GPU) + (1161CCO) + (1128ECO) + (1126IRE) - 13124 and the threshold for evaluating a discriminant score of

Lenovo
Highlight

Institutional Sign In

IEEEorg IEEE Xplore Digital Library| IEEE-SA| IEEE Spectrum| More Sites| Cart (0) Create Account| Personal Sign In|

All Enter keywords or phrases (Note Searches metadata only by default A search for smart grid = smart AND grid)

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Conferences gt 2018 5th International Confer

3 Author(s) Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa View All Authors

Demand management practices in the manufacturing industry An empiricalSouth African perspective

38FullText Views

Abstract

Document Sections

I Introduction

II Literature Review

III Methodology

IV Resultsampinterpretations

V Conclusion

Authors

Figures

References

Keywords

Metrics

Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

References

Keywords

Metrics

AbstractThis paper aims to identify and explore Demand Management (DM) practices used within the SouthAfrican Manufacturing industry The study followed a qualitative design approach in order to identifythe relationship between DM methods such as forecasting and the best practices used by therespondents Therefore a purposive sampling technique was used whereby a questionnaire was sentout via email to 15 manufacturing companies before meeting them for a face to face interviewconducted in two weeks Respondents varied from different industries such as automotive wood andpaper chemical food and beverage etc The results demonstrated that although the respondents areaware of the best practices for a good DM system they generally do not apply them entirely becauseof factors like fear of implementing change and failure to quickly adapt themselves to the change thatwould come with those best practices In addition the results also revealed that forecasting is themost used DM method by the respondents and a simple forecasting average is used to predict futuredemand Depending on the company the forecast is done either by a team or by functional areas

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844216

DOI 101109IEA20188387071

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionThe importance of satisfying the customer by meeting the demand has long been recognized bymanagers as crucial to making the organization successful However numerous problems occurand many factors need to be considered in order to give the customer what they want how theywant it as well as where and when they want it Failure to understand crucial characteristics ofdemand will result in supply shortage or excessive stock that will place serious financial burdenson the organization subsequently leading to a loss of market share and customers

Sign in to Continue Reading

Eric Bakama MikobiDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

Eveth Nwobodo-AnyadiegwuDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

Charles MbohwaDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

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Conferences gt 2018 5th International Confer

2 Author(s) Shikha Singh Subhas Chandra Misra View All Authors

Core challenges to cloud PLM adoption in large manufacturing firms

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Abstract

Document Sections

I Introduction

II Literature Review

III ResearchMethodology

IV Case Study and DataAnalysis

V Result and Discussion

Show Full Outline

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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

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AbstractAs the globalization is at its peak and innovative products are at high demand firms are forced to workin a collaborative manner The product data must be lively available to all the collaborated partnersAlthough on-premise Product Lifecycle Management (PLM) systems are offering the collaborationsand product data management throughout the products lifecycle the Internet of Things (IoT) eraoffers more connectivity at a lesser cost Though most large manufacturing firms have established theon-premise PLM systems yet face some difficulties related to maintenance and upgradations of in-house information technology (IT) infrastructure Hence cloud PLM is under consideration foradoption among many large manufacturing firms However there are several challenges associatedwith cloud PLM adoption decision This work intends to find out the challenges which largemanufacturing firms face while deciding to adopt cloud PLM The empirical investigations have beenattempted to find out the relations among the challenges faced and to provide the guideline on how tofind out the core challenges which needs to be attended before adopting cloud PLM in largemanufacturing firms

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844276

DOI 101109IEA20188387085

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionProduct lifecycle management (PLM) systems are the IT tools [1] which support the PLMbusiness concept [2] to manage the whole lifecycle of a product in firms PLM systems help totransform the organizations into digitized era and make them technologically robust by giving a3D product designing and virtual manufacturing opportunity [3] PLM systems help in substantialcost savings by reducing the real manufacturing efforts Product-related knowledge must need tobe preserved so that it can help in the other phases of product lifecycle such as repair overhaulreuse recycle and or disposal of the product Increasing number of enterprise informationsystems stakeholders and product related information demand the need for a managementapproach which makes the managers capable of managing all the dispersed product informationat one common repository for reuse

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Shikha SinghDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India

Subhas Chandra MisraDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India

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Conferences gt 2018 5th International Confer

3 Author(s) Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong View All Authors

Innovative product development of fabric glass interlayer

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Abstract

Document Sections

I Introduction

II Methodology

III Conclusion

Authors

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References

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AbstractA glass manufacturer in Thailand developed the laminated fabric glass as innovative product in 2013but sales had declined in 2016 Customers survey shows that the satisfaction level decreased due tolong production lead time high-selling price and long installation time This paper aims to develop anew innovative fabric glass interlayer product by adopting 5D innovation development process 5Dconsists of Discover Define Design Develop and Deploy Firstly discover phase adopted Five ForcesAnalysis Customer Behavior Analysis and Customers Satisfaction Survey for specifying marketposition and seeking the hidden customers expectations Define is to summarize the project charteras initiation step in the project management and to scope resources and timeframe Design weadopted the integration of QFD Kano Model and Product Quality Index for prioritizing and translatingcustomer expectations to product specifications Then all concepts were concluded by Pugh MatrixWeighted Sum Score and confirmed the selected concept by financial feasibility study Developprocess is to prototyping to verify the production before scale up Finally generated the riskassessment plan by FMEA and contributed the business plan to ensure the effectivecommercialization in Deploy The developed fabric glass interlayer shows higher customer satisfactionlevel by shorten production lead time from 14 days to 8 days (4285) lower price from 790 bahtft to 485 bahtft (3861) and shorten installation time from 180 minutes to 45 minutes (75)

2

2

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844226

DOI 101109IEA20188387141

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionThe case company is one of the glass manufacturers in Thailand who process the fundamentalfunctional building glass tempered and laminated glass for the architectural construction andinterior decoration The companys vision was stated to be the leader of glass innovation within2022 To be the leader of the glass innovation case company should focus on the continuousinnovative product development The mainly innovative product that had been sold for manyyears was the fabric glass as 52 52 and 47 in 2015 2016 and 2017 respectively

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Ploynaplus ThanasirithamDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

Natcha ThawesaengskulthaiDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

Prasert AkkharaprathomphongDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

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Conferences gt 2018 5th International Confer

2 Author(s) Jingying Huang Liya Wang View All Authors

Makespan minimization on single batch-processing machine consideringpreventive maintenance

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Abstract

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I Introduction

II Problem Description

III Batching Rule

IV Improved Heuristics

V ComputationalResults andDiscussions

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AbstractThis paper considers the problem of minimizing makespan on a single batch-processing machineconsidering preventive maintenance A mathematical model for integrating flexible preventivemaintenance into the batch-processing machine scheduling is proposed A two-stage method isproposed to solve the problem A batching rule considering maintenance is proposed to group jobsinto batches firstly And then we improve existing heuristics to schedule production and maintenanceComputational results indicate that the two-stage method based on proposed batching rule andimproved heuristics is effective

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844275

DOI 101109IEA20188387113

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionBPM (Batch processing machine) problem has attracted many researchers in recent years BPMis able to process a group of jobs as long as the number of jobs in the batch is less than or equalto the capacity of the machine To minimize total flow time Rui Xu [1] proposed an ant colonyalgorithm combined with the candidate list NR Parsa [2] proposed an algorithm using a hybridmax-min ant system AH Kashan [3] proposed a batch based hybrid genetic algorithm thatgenerates random batches of jobs and ensures feasibility To minimize total earliness andtardiness of the jobs NR Parsa [4] proposed a dynamic programming algorithm and severalheuristics BPM problem is practically applied in many manufacturing industries One of them issemiconductor wafer manufacturing industry BPM problem is applied in the furnace area in themanufacturing process of semiconductor wafers The machine is only shared by jobs requiringthe particular processing operation [5] That is in reality only semiconductor wafers with thesame kind of process can be grouped into a batch However the papers above did not take thisconstraint into consideration They assumed the jobs with different processing time can begrouped into the same batches Also the above papers did not consider about maintenancewhen grouping and scheduling jobs

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Jingying HuangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina

Liya WangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina

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KEYNOTE AND INVITE SPEAKERS

Keynote Speech

Keynote Speech ndashI

Abstract of speech

Many products are designed to last longer than

the typical lifespan of human being Its thus a

challenge to validate the design life through

reliability tests even when testing is conducted

under much harsher environment Not only that

test duration is usually constrained but the

samples available for testing may also be costly

andor limited in quantity Statistically optimal

plans will allow for efficient use of testing

resources and yet derive the most information

from the test In this presentation we shall

discuss ideas related to designing test plans for

both constant stress and step stress ALT leading

to the statistical optimal plan for sequential ALT

While that of constant ALT is basically a Bayesian

approach that for the step stress ALT requires

solving a dynamic program using backward

induction For the latter optimal solutions are

only available for exponential lifetime and there

are rooms for further research

Loon Ching TANG

BIO Dr Loon Ching TANG is currently the Director of

Temasek Defence Systems Institute and Professor of

Department of Industrial Systems Engineering and

Management at the National University of Singapore

He obtained his PhD degree from Cornell University in

the field of Operations Research in 1992 and has

published extensively in areas related to industrial

engineering and operations research He has been

presented with a number of best paper awards

including the IIE Transactions 2010 Best Application

Paper Award and 2012 RA EvansPK McElroy Award

for the best paper at Annual RAMS Prof Tang is the

main author of the award-winning book Six Sigma

Advanced Tools for Black Belts and Master Black Belts

Besides being active in the forefront of academic

research in the last 25 years Prof Tang has served as

consultant for many organizations such as the

Ministry of Home Affair Singapore Power Republic of

Singapore Air Force Seagate HP Phillips etc on a

wide range of projects aiming at improving

organizational and operations efficiency especially

through better management of engineering assets He

is currently a fellow of ISEAM the Editor of Quality amp

Reliability Engineering International and an editorial

review board member of the flagship journal of ASQ

Journal of Quality Technology (since 2006) He has

served as the Region VP (Asia) of IIE (2013-16) and a

member of the advisory board of the Singapore

Innovation and Productivity Institute

Apr 26(Thu) 2018 1305-1350

Auditorium Room

ldquoPlanning Sequential Accelerated Life Testingrdquo

Prof Loon Ching TANG

National University of Singapore Singapore

Lenovo
Highlight

Keynote Speech ndashII

George ZHANG

BIO Professor Zhe George Zhang is a professor of

Management Science in the Department of Decision

Sciences at Western Washington University and a

professor of Operations Management in Beedie

School of Business at Simon Fraser University He is

also visiting professor of Sauder School of Business

at the University of British Columbia Dr Zhang

received his BS in Computer Science and MA in

Economics from Nankai University China his MBA

from the Schulich School of Business at York

University and his PhD in Operations research from

the University of Waterloo Professor Zhang has

published many papers in prestigious journals such

as Management Science Operations Research

Manufacturing amp Service Operations Management

Production and Operations Management IIE

Transactions IEEE Transactions Queueing Systems

Journal of Applied Probability Co-authored with

Professor Tian in 2006 he published the research

monograph Vacation Queueing Models - Theory

and Applications the first book on this particular

topic (now highly cited) Professor Zhangs research

interests include queueing theory and applications

and stochastic models for manufacturing and

service systems The main theme of his research is

to bridge the gap between theory and application

obtaining unobservable and sometimes

counter-intuitive but significantpractical

management insights via modeling and quantitative

analysis Currently he is particularly interested in

the quantitative and economic analysis of the

congestion problems in urbanmass transportation

networks healthmedical care systems and public

service systems with both customer service quality

and security concerns As an expert in data analysis

and quantitative modeling he has consulted in

industry and has given research seminars and short

lectures at leading universities around the world He

was invited to present plenary or keynote talks in

several international conferences Professor Zhang

is the one of Editor-in-Chiefs for new journal

Queueing Models and Service Management aan

associate editor of INFOR (Information Systems and

Operations Research) and is on the editorial board

of several international journals in Operations

Research and Management Science

Apr 26(Thu) 2018 1350-1435

Auditorium Room

ldquordquo

Prof George ZHANG

Western Washington University USA

Lenovo
Highlight

Keynote Speech ndashIII

Abstract of speech

The purpose of this paper is to investigate the

generalized age maintenance policies for a system

with random working times When the system fails

it is subject to one of two types of failures with

age-dependent probability type I failure can be

removed by minimal repair and type II failure must

be rectified by replacementA First the system is

preventively replaced before type II failure at time T

or at the completion of Nth working projects

whichever occurs first Two modified models where

the system is preventively replaced before type II

failure at time T or at the completion of Nth

working projects whichever occurs last and it is

preventively replaced at the first completion of the

working project over time T or at the completion of

Nth working projects whichever occurs first are

considered By introducing costs due to repairs

maintenance and replacement the expected cost

per unit time is derived as a criterion of optimality

and the optimal policy that minimizes that cost is

discussed analytically

Shey-Huei SHEU

BIO Professor Shey-Huei Sheu is a Chair Professor

of Department of Statistics and Informatics Science

at the Providence University He is an Honorary

Chair Professor of the Department of Industrial

Management at the National Taiwan University of

Science and Technology He received his MS

degree (1979) in applied mathematics from the

National Tsing Hua University and his PhD degree

(1987) in statistics from the University of Kentucky

He has published in journals such as Naval Research

Logistics Journal of Applied Probability RAIRO

Operations Research Microelectronics and

Reliability Reliability Engineering and System Safety

International Journal of Systems Science Quality

and Reliability Engineering International

International Journal of Reliability Quality and

Safety Engineering Journal of the Operational

Research Society European Journal of the

Operational Research Computers and Operation

Research Computers and Industrial Engineering

Quality Engineering Asia-Pacific Journal of the

Operational Research Communications in

Statistics-Theory and Methods Computers and

Mathematics with Applications Simulation

Modeling Practice and Theory Communications in

Statistics-Simulation and Computation Journal of

Statistical Computation and Simulation

International Journal of Production Economics

Quality Technology and Quantitative Management

The International Journal of Advanced

Manufacturing Technology Expert Systems

International Journal of Computer Mathematics

Journal of Applied Statistics Production Planning

and Control International Journal of Production

Research Applied Mathematical Modelling IEEE

Transactions on Reliability and Annals of

Operations Research

Apr 26(Thu) 2018 1435-1520

Auditorium Room

ldquoThe Generalized Age Maintenance Policies with

Random Working Timesrdquo

Prof Shey-Huei SHEU

Providence University Taiwan

Lenovo
Highlight

Keynote Speech ndashIV

Abstract of speech

IEEE 80211ah a specification belonging to 80211

wireless local area network (WLAN) protocol family

has been recently released to support the

long-range low-power and low-rate wireless

communication among smart devices used in

Internet of Thing (IoT) systems However security

requirements of the energy-constrained devices

have plenty of issues different from the traditional

wireless devices It requires that the lightweight

security protocols have to support low-power and

low-latency as well as the long-lasting features of

quantities of IoT devices The recently released IEEE

statndard IEEE 80211ai has specified a Fast Initial

Link Setup (FILS) which is a brand-new approach

aiming at establishing fast stable and secure links

among smart devices IEEE 80211ai could be applied

to other wireless systems such as the wireless

system of IEEE 80211ah with security

enhancements In this talk I would address the

secureity issues of IEEE 80211ai and IEEE 80211ah

with an new proposal to enhance the

authentication process in the link setup procedure

specified by IEEE 80211ai

Maode MA

BIO Dr Maode Ma is a Fellow of IET He received his

PhD degree in computer science from Hong Kong

University of Science and Technology in 1999 Now

Dr Ma is an Associate Professor in the School of

Electrical and Electronic Engineering at Nanyang

Technological University in Singapore He has

extensive research interests including network

security and wireless networking Dr Ma has about

350 international academic publications including

over 160 journal papers and about 190 conference

papers He has delivered over 50 keynote speeches

at various international conferences He has served

as various chairs for over 100 international

conferences He currently serves as the

Editor-in-Chief of International Journal of Computer

and Communication Engineering and International

Journal of Electronic Transport He also serves as a

Senior Editor or an Associate Editor for other 4

international academic journals Dr Ma is a Senior

Member of IEEE Communication Society and IEEE

Education Society and a Member of ACM He is the

Chair of the IEEE Education Society Singapore

Chapter and the Chair of the ACM Singapore

Chapter He has served as an IEEE Communication

Society Distinguished Lecturer from 2013-2016

Apr 26(Thu) 2018 1530-1615

Auditorium Room

ldquoEfficient and Secure Authentication Schemes for

IEEE 80211ah Networks rdquo

Prof Maode MA

Nanyang Technological University Singapore

Lenovo
Highlight

Keynote Speech ndashV

Abstract of speech

Stochastic aircraft routing (SAR) plays a critical role

in defining the routing plans of airlines which

include assigning the aircraft to flight legs and

determining the time and location of maintenance

to the aircraft Based on the routing plan specified

by the airlines the maintenance providers should

schedule their workforce to perform maintenance

operations by solving the maintenance staffing

problem (MSP) MSP helps maintenance providers

to build their staffing plans which include the

assignment of manpower to each aircraft so that

aircraft receive the required maintenance

operations as planned Practically for airlines the

routing plan will be interrupted (eg flight delays) if

an aircraft cannot be released from the

maintenance station punctually Similarly for

maintenance providers if an aircraft misses the

scheduled appointment at the maintenance station

this will also cause a huge interruption to their

staffing plan Therefore there is an interrelationship

between SAR and MSP In the literature the focus

of each problem has been traditionally considered

separately with only limited consideration of their

interrelationship In this paper we study SAR along

with MSP with the objective of investigating the

interrelationship between SAR and MSP For this

purpose we propose a coordinated configuration

of SAR and MSP that is formulated as a

leader-follower Stackelbery game in which SAR

acts as a leader and MSP acts as a follower This

game is enacted through a bi-level optimization

model which is solved by a bi-level nested ant

colony optimization (ACO) algorithm A case study

of a major airline and maintenance provider located

in the Middle East is presented to demonstrate the

feasibility and potential of the proposed model The

results demonstrate significant saving in the costs

of both companies

Felix TS CHAN

BIO Professor Felix T S Chan received his BSc

Degree in Mechanical Engineering from Brighton

Polytechnic (now University) UK and obtained his

MSc and PhD in Manufacturing Engineering from

the Imperial College of Science and Technology

University of London UK Professor Chan is now

working at the Department of Industrial and

Systems Engineering The Hong Kong Polytechnic

University and also serving as Associate Dean

(Research) at the Faculty of Engineering His current

research interests are Logistics and Supply Chain

Management Operations Management

Distribution Coordination Systems Modelling and

Simulation AI Optimisation To date he has

published 16 book chapters over 300 refereed

international journal papers and 250 peer reviewed

international conference papers h index= 30 under

the Web of Science He is a chartered member of

the Chartered Institute of Logistics and Transport in

Hong Kong According to a study lately published in

the International Journal of Production Research

(httpdxdoiorg1010800020754320151037935)

the study measured the research contributions over

a 26-year time frame (1985-2010) of academic

institutions and individual authors to the field of

Apr 26(Thu) 2018 1615-1700

Auditorium Room

ldquoInvestigating the Interrelationship between

Stochastic Aircraft Routing of Airlines and

Maintenance Staffing of Maintenance Providersrdquo

Prof Felix TS CHAN

The Hong Kong Polytechnic University Hong Kong

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Highlight

Operations Management (OM) based on published

articles in 11 top-rated and well-known academic OM

journals Professor Chan was among the top 50

prolific authors list who have made the greatest

overall contribution to the field as measured by the

number of distributed and shared articles published

in the 11 designated journals Also Professor Chan

was Ranked No 3 in The top 100 authors as the

most productive researchers in the field of

Operations Management over the past 10 years

(2001-2010)

COMMITTEE

ICIEA 2018 Organizing Committee

International Advisory Committee

Zhe George Zhang Western Washington University USA

Conference Chairs

Felix T S Chan The Hong Kong Polytechnic University Hong Kong

Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan

Local Organizing Chair

TANG Loon Ching National University of Singapore Singapore

Organizing and Program Committees

Seoung Bum Kim School of Industrial Mangement Engineering Korea University

Usik Lee Inha University Korea

Maode Ma Nanyang Technological University Singapore

Finance Chair

Minghan Xi Dalian Maritime University China

International Technical Committees

Cheng-Feng HuNational Chiayi University Taiwan

Dong-Yuh YangNational Taipei University of Business Taiwan

Mario HirzGraz University of Technology Austria

Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt

Po-Hsiang Liu College of Business and Management in St Johns University USA

Taesu Cheong Korea University Korea

Tien-Lun Liu Chung Yuan Christian University Taiwan

Wei CaiWuhan University of Technology China

Jinguo Huang Huazhong University of Science and Technology China

Yu-Chung Tsao National Taiwan University of Science Technology Taiwan

Yip Mum WaiTunku Abdul Rahman University College Malaysia

Pule Kholopane University of Johannesburg South Africa

Bonivasius Prasetya Ichtiarto mercu buana university Indonesia

Elita Amrina Andalas University Indonesia

Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan

Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong

Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia

Lenovo
Highlight
Lenovo
Highlight
Lenovo
Highlight
Lenovo
Highlight

Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India

Byung Do Chung Yonsei University Korea

M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia

Sandeep Singhal National Institute of Technology India

J W Wang The University of Hong Kong Hong Kong

Ching-Chang Kuo National Taichung University of Science and Technology Taiwan

Kuo-Hsiung Wang Providence University Taiwan

ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia

Sangbok Lee Hansung University Korea

Adrian E Coronado Mondragon Royal Holloway University of London UK

Chin-I Lee Ling Tung University Taiwan

S H ChoiUniversity of Hong Kong Hong Kong

Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan

Wei Cai Wuhan University of Technology China

Hashibah Hamid Universiti Utara Malaysia Malaysia

TMA Ari Samadhi Bandung Institute of Technology Indonesia

Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia

Pi-Chun Hsu Chaoyang University of Technology Taiwan

Mu-Chen Chen National Chiao Tung University Taiwan

Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan

Tsu-Wei Yu Chaoyang University of Technology Taiwan

Lingyun Wei Beijing University of Posts and Telecommunications China

Hamdi Bashir University of sharjahUnited Arab Emirates

LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand

LIU Hai-peng Kunming University of Science and Technology China

Elfira Febriani Trisakti University Indonesia

Yu-Hsiang Hsiao National Taipei University Taiwan

Chien-Chih Wang Ming Chi University of Technology Taiwan

Atichart Harncharnchai Chiang Mai University Thailand

Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)

Switzerland

Bambang Suhardi Universitas Sebelas Maret Indonesia

Ssu Han Chen Ming Chi University of Technology Taiwan

Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia

Augustina Asih Rumanti Bandung Institute of Technology Indonesia

Maheshwar Dwivedy BML Munjal University India

Zhichuan Guan China university of petroleum (East China) China

Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia

Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia

Yenming J Chen National Kaohsiung University of Science and Technology Taiwan

Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia

TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand

Li Li Nanjing University of Science and Technology China

SERTIFIKAT

Page 10: Nilai Maksimal Prosiding - eprints.undip.ac.ideprints.undip.ac.id/70482/1/...of_GSCM_practice_peer_review_lengkap.pdf · discriminant function as Z= (0.238-IeM) + (0.602-GPU) + (1.161-CCO)

COVER DAFTAR ISI DAN BUKTI PESERTA DARI EMPAT

NEGARA

2018 The 5th International

Conference on Industrial

Engineering and Applications

Technical Program

April 26-28 2018

Shaw Foundation Alumni House National University of Singapore

Singapore

wwwicieaorg

Sponsored by Assisted by

ICIEA

2018

iii

2018 5th International Conference on Industrial Engineering and Applications

ICIEA 2018Table of Contents

Decision Analysis and Methods

Towards a Decision Support Approach for Selecting Physical Objects in Collaborative Supply Chain Processes

for Cyber Physical System-Transformation 1

Endric Hetterscheid Florian Schluumlter

Decision Support System for Inventory Control of Raw Materialmdash(Case Study PT Suwarni Agro Mandiri Plant

Pariaman Indonesia) 6

Difana Meilani Amelia Andiningtias Dicky Fatrias

Integration AHP and TOPSIS in Shipyard Location Selection 11

Ali Parkhan Aldrin Daeng Vatimbing Imam Djati Widodo

E-Business and E-Commerce

Inventory Management in E-commerce Supply Chain with Lateral Transshipment and Quick Response17

Xueqing Yu Lingyun Wei

Impact of Recommender Systems on Unplanned Purchase Behaviours in e-Commerce 21

Zhang Ying Chen Caixia Gu Wen Liu Xiaogang

Evaluating and Analyzing the Effectiveness of Online Advertising31

Huini Zhou Li Li Xiaoguang Gu

Micro Enterprise and e-Commerce Platform Literature Review and Agenda for Future Research 38

Clara Linggaputri Isti Surjandari Akhmad Hidayatno

Prefacehelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellipxiii

Conference Committeeshelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellipxiv

iv

Global Manufacturing and Engineering Economics

Optimal Manufacturing Outsourcing Decision Based on the Degree of Manufacturing Process

Standardization49

PingYu Chang Thi Thanh Nhan Phan

A Functional Design of a Cost Benefit Analysis Methodology for Transport Infrastructure Projects54

Tiep Nguyen Stephen Cook Indra Gunawan

Demand Management Practices in the Manufacturing Industry An Empirical South African Perspective 60

Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa

Healthcare Systems and Management

A Study on Healthcare-product Supply Chain with a Group Purchasing Organization67

Yin Han Lingyun Wei

A Study on Shortage of Hospital Beds in the Philippines Using System Dynamics 72

Josephine D German John Karlo P Mintildea Claudine Mae N Alfonso Kang-Hung Yang

Research on Health Monitoring Mechanism Based on Service Invocation79

Xuan Mei Xinming Tan

Business Process Reengineering for the Saline Management in Hospitals84

Sith Vilasdechanon Apichat Sopadang

The Acceptance Model of Hospital Information Systems in Thailand A Conceptual Framework Extending

TAM89

Paneepan Sombat Wornchanok Chaiyasoonthorn Singha Chaveesuk

Human Factors

An Experimental Study to Investigate Personality Traits on Pair Programming Efficiency in Extreme

Programming 95

Ramlall Poonam Chuttur M Yasser

Intention of Opening Up the Network of Personal Data 100

Mao-Sung Chen Tung-Kuan Liu Ming-Tien Tsai

The Differences of Individual Spatial Strategy on Their Solving Performance 105

Sakulporn Pornpanom Arisara Jiamsanguanwong

v

Understanding the Model of User Satisfaction in Using Cloud Storage Systems of Employees in Thailand A

Conceptual Framework 110

Kulapa Najantong Singha Chaveesuk Wornchanok Chaiyasoonthorn

Evaluating Variables That Affect Job Satisfaction of Bank Customer Contact Centre Agents in South Africa

116

Eveth Nwobodo-Anyadiegwu Charles Mbohwa Nokukhanya Ndlovu

Information Processing and Engineering

Real-time Localization and Navigation in an Indoor Environment Using Monocular Camera for Visually

Impaired 122

Kruthika Ramesh Nagananda S N Hariharan Ramasangu Rohini Deshpande

Experiment and Optimization of Magnetostrictive for Long Time Operation to Find Amplitude of Vibration

and Thermal Limit 129

Nuttakorn Pukseesang Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa

Some Methods for Measuring the Efficiency of Firms Utilizing Different Technologies 134

Soobin Choi Jaedong Kim Hanjun Lee

Core Challenges to Cloud PLM Adoption in Large Manufacturing Firms 141

Shikha Singh Subhas Chandra Misra

Intelligent Systems

Visual and Hearing Detection Capabilities to Discriminate whether a UAV Invade a Campus Airspace 146

S J Chang K W Li

Reflections on Facilitating the Development of ldquoInternet Plusrdquo Intelligent Manufacturing in China 150

Yong Tao Gang Zhao Qiushi Li Wen Zhao

A Study of Small Complicated Axisymmetric Parts Manufacturing in Industry 40 158

Chengcheng Zhu Shengdun Zhao Shuaipeng Li

Voltage Stability in DC Micro Grid by Controlling Two Battery Units with Hybrid Network Systems 163

Adhi Kusmantoro Ardyono Priyadi Mauridhi Hery Purnomo

Design and Implementation of IoT Based Smart Laboratory 169

M Poongothai P Muthu Subramanian A Rajeswari

vi

Analysis of Microwave Precipitation in the Topographic Barrier for the Lifting Condensation Level of Clouds

Formation 174

Supawat Kotchapradit Thanaset Thosdeekoraphat Samran Santalunai Chanchai Thongsopa

Improved Efficiency of Insect Pest Control System by SSPA 179

Phanupong Saeung Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa

Manufacturing Systems

Optimized Information Exchange Process between CAD and CAMmdashEnhanced Data Exchange in the Field of

Joining Technology from the Viewpoint of an Automotive Supplier 184

Alexander Kreis Mario Hirz Severin Stadler

Efficiency Improvement of Door Frame Manufacturing Process in Wood Product Manufacturing Industry

189

Lerdlekha Sriratana

The Structural Design of 3D Print Head and Execution of Printing via the Robotic Arm ABB IRB 140 194

Martin Pollaacutek Jozef Toumlroumlk Jozef Zajac Marek Kočiško Monika Teliškovaacute

Micro-fabrication Method of Au Micro-wire Structures on Substrate by Chemical Printing and Peeling Process

199

Potejana Potejanasak

Evaluation of Thermal Comfort Room Garment Workshop in Textile Vocational School 203

Anastasia Febiyani Bambang Suhardi Eko Pujiyanto

Modular Measuring System for the Force Distribution in Forming Processes 208

W Zorn L Hamm R Elsner W G Drossel

Gravity Filling System of Slurry for Rod Mill Sand with High Concentration and Research on Technical

Transformation in Jinchuan Mine 214

Li Li-Tao Yang Zhi-Qiang Gao Qian Wang Yong-Ding

Defect Reduction in the Board Front Door Trim Manufacturing Process 220

Punyisa Kuendee

Operations Research

Integrated Railway Timetable Scheduling Optimization Model and Rescheduling Recovery Optimization

Model A Systematic Literature Review 226

Erlangga Bayu Setyawan Dida Diah Damayanti

vii

A Comparative Analysis about the Balance Design of the Assembly Line by Branching amp Bound Method and

Lingo Method 231

Jia Shuyuan Huang Li Li Qin Gu Yonghu

The Optimal Routes and Modes Selection in Multimodal Transportation Networks Based on Improved A

Algorithm 236

Yan Liu Lingyun Wei

Industrial Cluster Optimization Based on Linear Programming 241

Roberto Montemanni Jafar Jamal

Multi-objective Joint Optimization of Batch-discrete Hybrid Flow Shop Scheduling Integrated with Machine

Maintenance 247

Yangyang Fei Huimin Ma

Investigating the Interrelationship between Stochastic Aircraft Routing of Airlines and Maintenance Staffing

of Maintenance Providers 254

Felix T S Chan Abdelrahman E E Eltoukhy

An Modified Relax-and-fix Algorithm for the Multi-level Lot-sizing Problem with Replaceablility 262

Mingyuan Wei Yifei Yuan Canrong Zhang

Height-Based Heuristics for Relocating Containers during Loading Operations 268

Yifei Yuan Canrong Zhang Ting Huang

A Record-to-Record Travel Algorithm for Multi-product and Multi-period Inventory Routing Problem 274

Fadillah Ramadhan Arif Imran Afrin Fauzya Rizana

Developing Tabu Search with Intensification and Diversification for the Seriation Problem 279

Pimprapai Thainiam

A Comparative Study of Mixed-Integer Linear Programming and Genetic Algorithms for Solving Binary

Problems 284

Punyisa Kuendee Udom Janjarassuk

Production Planning and Control

Concurrent Optimization of Job Shop Scheduling and Dynamic and Flexible Facility Layout Planning 289

Ryota Kamoshida

Makespan Minimization on Single Batch-processing Machine Considering Preventive Maintenance 294

Jingying Huang Liya Wang

viii

Customer Kansei-Oriented Restaurant Location Evaluation Using Kansei Engineering 299

Yu-Hsiang Hsiao Guan-Ting Chen

An Improvement Scheme for the Overall Line Effectiveness of a Production Line A Case Study 304

Jieli Li Yuhui Jia Binbin Xu Fei Chen Zhaojun Yang Xiaodong Li

An Adjustment Method for Material Inventory Control Decision Considered in Product Life Cycle 310

Jiun-Shiung Lin Jen-Huei Chang i-Yan Yang

Application of a Hidden Markov Model for Consistency Checking of Process Plant Facility Tag NumbersmdashA

Case Study 314

Jayaram Sivaramakrishnan Gareth Lee

Analyzing Circadian Rhythms for Breaktime Schedulling on Night Shift Work 321

Lovely Lady Ansor Firdaus

Resource-Reconfigured Flow Shop Scheduling and Lot-Sizing Problems in Semiconductor Test 326

Yige Zhang Yuangen Lu Cangrong Zhang

Process Flow Improvement in Production of Noise Filter Products through Lean Manufacturing Technique

333

Rattarak Moonpragarn Rungchat Chompu-inwai

Waste Reduction in the Shoe Sewing Factory 340

Pongpat Phetrungrueng

The Joint Replenishment Problem with Resource Restriction A Note 345

M I M Wahab Y Chen

Aggregate Planning in Canned Pineapple Production Lines 349

Datepard Charoenponyarrat Tuanjai Somboonwiwat

Applications of Data Mining

A Research Study on Unsupervised Machine Learning Algorithms for Early Fault Detection in Predictive

Maintenance 355

Nagdev Amruthnath Tarun Gupta

The Analysis of Matching Learners in Pair Programming Using K-Means 362

Naladtaporn Aottiwerch Urachart Kokaew

Machine Learning Based Approach for Demand Forecasting Anti-aircraft Missiles 367

Jaedong Kim Hanjun Lee Soobin Choi

ix

Quality Control and product lifecycle Management

Simultaneous Prediction Interval-Based Multiobjective Solution Approach for Multiple Quality Characteristics

Optimization 373

Abhinav Kumar Sharma Indrajit Mukherjee

The TQM Integration in Procurement Function Performance 378

Bisalyaputra K

Safety Analysis at Weaving Department of PT X Bogor Using Failure Mode and Effect Analysis (FMEA) and

Fault Tree Analysis (FTA) 382

Prima Fithri Nidi Annisa Riva Lusi Susanti Berry Yuliandra

Success Determinants to Product Lifecycle Management (PLM) Performance 386

Shikha Singh Subhas Chandra Misra

Company Performance Measurement for Automobile Companies a Composite Indicator from an

Environmental Perspective 391

Qinqin Zeng Wouter W A Beelaerts van Blokland Sicco C Santema Gabriel Lodewijks

Loss Time Reduction for Improve Overall Equipment Effectiveness (OEE) 396

Kamolchanok Krachangchan Natcha Thawesaengskulthai

Service Innovation and Management

Estimating Diffusion of Technology Using User Perceptual Values A Conceptual Model 401

Chaudry Bilal Ahmad Khan

Implementation of Innovative Digitalization Methods in Reverse Engineering 406

Monika Teliškovaacute Martin Pollaacutek Jozef Toumlroumlk Jakub Kaščaacutek Petr Baron Viktoria Mezencevova

Topological Evolution of Public Transportation Network A Case Study of Bangkok Rail Transit Network 410

Pijaya Na Bangxang Pisit Jarumaneeroj

A Design of Automated Parking System for Shopping Centers in Metro Manila 415

Ma Janice J Gumasing Charles Aaron V Atienza

Design of an Ergonomic Classroom Chair and Desk for Preschool Students of Selected Public Schools in

Cabuyao City Laguna 420

Ezrha C Godilano Mark Kevin G Galang Hazel Elaine O Ramilo Kristian Roi F Velayo

Design of an Ergonomic Wheelbarrow to Reduce Physiological Demands of General Users 424

Ezrha C Godilano Karl Vincent Casas Aubrey Justine Vargas

x

Ergonomic Intervention Addressing Musculoskeletal Disorders among Poultry Layer Workers 429

Ma Janice J Gumasing Rex Aurelius C Robielos

Wristwatch Development Based on Kansei Engineering 435

Imam Djati Widodo Heavy Zerry Novibrilliawan

Innovative Product Development of Fabric Glass Interlayer 440

Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong

Systems Modeling and Simulation

A Simulation Study of Multi-dimensional Clearing Function Considering Degradation for Semiconductor

Manufacturing 448

Jianqiu Huang Jingying Huang Liya Wang

Productivity Improvement of Tapioca Packing Process through Simulation Modeling Analysis 453

Nara Samattapapong

Modelling the Barriers for Mass Adoption of Electric Vehicles in Indian Automotive Sector An Interpretive

Structural Modeling (ISM) Approach 458

Surya Prakash Sameer Sharma Poudel Maheshwar Dwivedy Dilesh Raj Shrestha

Diagnostics of the Wire Coating Production Line by Implementation of Computation Methods 463

Ivan Kuric Miroslav Cisar Ivan Zajacko Tomas Gal

District Model with Two Types of Vehicles for Transporting Sugarcane 468

Rujirat Patcharamethanon Kanchala Sudtachat

Experiment of Induction Heating Application for Heating Multilayer Metallic Hollow Altered Cylinder 475

Jakkarin Srituvanont Thanaset Thosdeekoraphat Chanchai Thongsopa Samran Santalunai

A Framework for Analyzing and Developing Dashboard Templates for Small and Medium Enterprises 479

Wasinee Noonpakdee Thitiporn Khunkornsiri Acharaphun Phothichai Kriangsak Danaisawat

An Economic Order Quantity Model with Continous Quantity Discount and Probabilistic Demand 484

Ardian Rizaldi Ashaeurizky Dilianaputri Fitri A Anugrah Riska Ummaya Senator Nur Bahagia

Technology and Knowledge Management

Analyzing Interdependencies in a Project Portfolio Using Social Network Analysis Metrics 490

Helal Al Zaabi Hamdi Bashir

Sentiment Analysis of Twitter Corpus Related to Artificial Intelligence Assistants 495

Chae Won Park Dae Ryong Seo

xi

Artificial Neural Neural Network Approach for Technology Life Cyle Construction on Patent Data 499

Muhammad Hanif Ramadhan Vialli Ibrahim Malik Teddy Sjafrizal

A Systematic Literature Review on Knowledge Sharing for Innovation Empirical Study Approach 504

Augustina Asih Rumanti T M A Ari Samadhi Iwan Inrawan Wiratmadja Indryati Sunaryo

Belief Representation of Design Mental Model Based on Design Rationale 510

Chen Ying Jing Shikai Wang Yedong Cheng Dada

Study on Teaching Methods of Fundamental Electrical Courses in Engineering Education 515

Jianpei Chen Fei Gao Lingling Kong Lin Cui

Supply Chain Management

Supply Chain Model for Renewable Energy Resource from Biomass in Vietnam 520

Duy Nguyen Duc Narameth Nananukul

Exploring the Implementation of Green Supply Chain with Cluster and Discriminant AnalysismdashCase Study

Furniture Industry at Central Java Semarang 526

Aries Susanty Diana Puspita Sari

Systematic Literature Review and Improved Model for Mitigating Bullwhip Effect in Low Shelf Life Food

Supply Chain 531

Nia Novitasari Dida Diah Damayanti

Supply Chain Management Performance and Partial Least Square-Structural Equation Model An application

to Thai Tourism Supply Chain 536

Daraka Palang Korrakot Yaibuathet Tippayawong

An Economic Competitiveness Analysis of Power Generation Plants 543

Ndala Yves Mulongo Pule Kholopane

Supplier Selection Considering Sustainablitity Criteria by Using A Hybrid Evaluation Method in Printing

Business 548

Onsiree Mananawigapol Chorkaew Jaturanonda Tuanjai Somboonwiwat

Barriers and Drivers of eBIZ Adoption in the Fashion Supply Chain Preliminary Results 555

Bianca Bindi Virginia Fani Romeo Bandinelli Gilda Massa Gessica Ciaccio Arianna Brutti Piero De

Sabbata

A Simulation Analysis on Regional Logistics Development Based on System Dynamics The Case of Yunnan

Province 560

Yinyuan Si Wensheng Yang Huini Zhou

Lenovo
Highlight

xii

A Sustainability Assessment of Electricity Supply Systems 565

Ndala Yves Mulongo Pule Kholopane

Author Index

1040-1210 Friday 27 Apr

Session B-2 Supply Chain Management Venue Lemongrass Room

Chair

N066

Time 1040-1055

A study on Healthcare-product Supply Chain with a group purchasing organization Ms Yin Han Lingyun Wei Beijing University of posts and telecommunications Beijing China

In order to better understand the impact of group purchasing organization (GPO) on healthcare-product supply chain we build a supply chain model consisting of one manufacturer one competitive source one group purchasing organization(GPO) and n healthcare providers for a single product Providers may purchase from any source for minimizing their total costs Through considering different providersrsquo demands power schemes and revenue sharing between GPO and providers we analyze the performance of supply chain and its members under various situations Numerical examples show some interesting findings (1) When GPO dominates the supply chain GPO can obtain more profits (2)When manufacturer dominates the supply chain and GPO shares its revenue with providers there exists specific revenue sharing rates which increase GPOrsquos profits and reduce providersrsquo cost (3) Manufacturer always can achieve a same optimal profit by changing quantity discount rate when GPO dominates supply chain and shares its revenue with providers

N108

Time 1055-1110

Exploring the Implementation of Green Supply Chain with Cluster and Discriminant Analysis Case Study Furniture Industry at Central Java Semarang Dr Aries Susanty Diana Puspitasari Diponegoro Univeristy Indonesia This study has two objectives First this study aims to categorize the level of the implementation of Green Supply Chain Management (GSCM) practice among Small and Medium Enterprises (SMEs) of wooden furniture in several clusters Second this study aims to find the linear combination of five dimensions of GSCM practices that will discriminate best between prior defined clusters The study used primary data through questionnaires enclosed with the Likert scale 1-5 at 162 SMEs of wooden furniture located in Surakarta Jepara Semarang and Kudus The raw data level of implementation of five dimensions of GSCM practice is analyzed using K-Means cluster and discriminant analysis with the aid of the Statistical Package for the Social Sciences (SPSS) software The result of K-Means cluster analysis indicated that a two-cluster is the optimal number of a group for separating the data of the level of implementation of GSSM practice among SMEs of wooden furniture and the two clusters founded in this research are labeled as early adopter and laggards Then the result of the discriminant analysis indicated that as high as 9877 of the SMEs of wooden furniture was classified correctly The result of discriminant analysis also revealed the discriminant function as Z= (0238IEM) + (0602GPU) + (1161CCO) + (1128ECO) + (1126IRE) - 13124 and the threshold for evaluating a discriminant score of

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Conferences gt 2018 5th International Confer

3 Author(s) Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa View All Authors

Demand management practices in the manufacturing industry An empiricalSouth African perspective

38FullText Views

Abstract

Document Sections

I Introduction

II Literature Review

III Methodology

IV Resultsampinterpretations

V Conclusion

Authors

Figures

References

Keywords

Metrics

Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

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Keywords

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AbstractThis paper aims to identify and explore Demand Management (DM) practices used within the SouthAfrican Manufacturing industry The study followed a qualitative design approach in order to identifythe relationship between DM methods such as forecasting and the best practices used by therespondents Therefore a purposive sampling technique was used whereby a questionnaire was sentout via email to 15 manufacturing companies before meeting them for a face to face interviewconducted in two weeks Respondents varied from different industries such as automotive wood andpaper chemical food and beverage etc The results demonstrated that although the respondents areaware of the best practices for a good DM system they generally do not apply them entirely becauseof factors like fear of implementing change and failure to quickly adapt themselves to the change thatwould come with those best practices In addition the results also revealed that forecasting is themost used DM method by the respondents and a simple forecasting average is used to predict futuredemand Depending on the company the forecast is done either by a team or by functional areas

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844216

DOI 101109IEA20188387071

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionThe importance of satisfying the customer by meeting the demand has long been recognized bymanagers as crucial to making the organization successful However numerous problems occurand many factors need to be considered in order to give the customer what they want how theywant it as well as where and when they want it Failure to understand crucial characteristics ofdemand will result in supply shortage or excessive stock that will place serious financial burdenson the organization subsequently leading to a loss of market share and customers

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Eric Bakama MikobiDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

Eveth Nwobodo-AnyadiegwuDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

Charles MbohwaDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

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An empirical approach for the application ofknowledge management on downstream supplychain management of Indian public sector oilcompanies2017 Fourteenth International Conference onWireless and Optical Communications Networks(WOCN)Published 2017

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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|

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Conferences gt 2018 5th International Confer

2 Author(s) Shikha Singh Subhas Chandra Misra View All Authors

Core challenges to cloud PLM adoption in large manufacturing firms

60FullText Views

Abstract

Document Sections

I Introduction

II Literature Review

III ResearchMethodology

IV Case Study and DataAnalysis

V Result and Discussion

Show Full Outline

Authors

Figures

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Metrics

Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

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Keywords

Metrics

AbstractAs the globalization is at its peak and innovative products are at high demand firms are forced to workin a collaborative manner The product data must be lively available to all the collaborated partnersAlthough on-premise Product Lifecycle Management (PLM) systems are offering the collaborationsand product data management throughout the products lifecycle the Internet of Things (IoT) eraoffers more connectivity at a lesser cost Though most large manufacturing firms have established theon-premise PLM systems yet face some difficulties related to maintenance and upgradations of in-house information technology (IT) infrastructure Hence cloud PLM is under consideration foradoption among many large manufacturing firms However there are several challenges associatedwith cloud PLM adoption decision This work intends to find out the challenges which largemanufacturing firms face while deciding to adopt cloud PLM The empirical investigations have beenattempted to find out the relations among the challenges faced and to provide the guideline on how tofind out the core challenges which needs to be attended before adopting cloud PLM in largemanufacturing firms

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844276

DOI 101109IEA20188387085

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionProduct lifecycle management (PLM) systems are the IT tools [1] which support the PLMbusiness concept [2] to manage the whole lifecycle of a product in firms PLM systems help totransform the organizations into digitized era and make them technologically robust by giving a3D product designing and virtual manufacturing opportunity [3] PLM systems help in substantialcost savings by reducing the real manufacturing efforts Product-related knowledge must need tobe preserved so that it can help in the other phases of product lifecycle such as repair overhaulreuse recycle and or disposal of the product Increasing number of enterprise informationsystems stakeholders and product related information demand the need for a managementapproach which makes the managers capable of managing all the dispersed product informationat one common repository for reuse

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Shikha SinghDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India

Subhas Chandra MisraDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India

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The automation of the technological processesin the Manufacturing Internet of Things contextfor the pharmaceutical enterprises2018 IEEE 9th International Conference onDependable Systems Services andTechnologies (DESSERT)Published 2018

Integration of ERP and Internet of Things inIntelligent Enterprise Management2018 1st International Cognitive CitiesConference (IC3)Published 2018

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See the top organizations patenting intechnologies mentioned in this article

IEEE Account

raquo Change UsernamePassword

raquo Update Address

Purchase Details

raquo Payment Options

raquo Order History

raquo View Purchased Documents

Profile Information

raquo Communications Preferences

raquo Profession and Education

raquo Technical Interests

Need Help

raquo US amp Canada +1 800 678 4333

raquo Worldwide +1 732 981 0060

raquo Contact amp Support

A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|

My Settings Get HelpBrowse Subscribe

Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance

During this time saved searches will not be editable We apologize for any inconvenience

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Institutional Sign In

IEEEorg IEEE Xplore Digital Library| IEEE-SA| IEEE Spectrum| More Sites| Cart (0) Create Account| Personal Sign In|

All Enter keywords or phrases (Note Searches metadata only by default A search for smart grid = smart AND grid)

Advanced Search | Other Search Options

Conferences gt 2018 5th International Confer

3 Author(s) Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong View All Authors

Innovative product development of fabric glass interlayer

39FullText Views

Abstract

Document Sections

I Introduction

II Methodology

III Conclusion

Authors

Figures

References

Keywords

MetricsPublished in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

References

Keywords

Metrics

AbstractA glass manufacturer in Thailand developed the laminated fabric glass as innovative product in 2013but sales had declined in 2016 Customers survey shows that the satisfaction level decreased due tolong production lead time high-selling price and long installation time This paper aims to develop anew innovative fabric glass interlayer product by adopting 5D innovation development process 5Dconsists of Discover Define Design Develop and Deploy Firstly discover phase adopted Five ForcesAnalysis Customer Behavior Analysis and Customers Satisfaction Survey for specifying marketposition and seeking the hidden customers expectations Define is to summarize the project charteras initiation step in the project management and to scope resources and timeframe Design weadopted the integration of QFD Kano Model and Product Quality Index for prioritizing and translatingcustomer expectations to product specifications Then all concepts were concluded by Pugh MatrixWeighted Sum Score and confirmed the selected concept by financial feasibility study Developprocess is to prototyping to verify the production before scale up Finally generated the riskassessment plan by FMEA and contributed the business plan to ensure the effectivecommercialization in Deploy The developed fabric glass interlayer shows higher customer satisfactionlevel by shorten production lead time from 14 days to 8 days (4285) lower price from 790 bahtft to 485 bahtft (3861) and shorten installation time from 180 minutes to 45 minutes (75)

2

2

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844226

DOI 101109IEA20188387141

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionThe case company is one of the glass manufacturers in Thailand who process the fundamentalfunctional building glass tempered and laminated glass for the architectural construction andinterior decoration The companys vision was stated to be the leader of glass innovation within2022 To be the leader of the glass innovation case company should focus on the continuousinnovative product development The mainly innovative product that had been sold for manyyears was the fabric glass as 52 52 and 47 in 2015 2016 and 2017 respectively

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Ploynaplus ThanasirithamDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

Natcha ThawesaengskulthaiDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

Prasert AkkharaprathomphongDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

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Conferences gt 2018 5th International Confer

2 Author(s) Jingying Huang Liya Wang View All Authors

Makespan minimization on single batch-processing machine consideringpreventive maintenance

37FullText Views

Abstract

Document Sections

I Introduction

II Problem Description

III Batching Rule

IV Improved Heuristics

V ComputationalResults andDiscussions

Show Full Outline

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Figures

References

Keywords

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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

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AbstractThis paper considers the problem of minimizing makespan on a single batch-processing machineconsidering preventive maintenance A mathematical model for integrating flexible preventivemaintenance into the batch-processing machine scheduling is proposed A two-stage method isproposed to solve the problem A batching rule considering maintenance is proposed to group jobsinto batches firstly And then we improve existing heuristics to schedule production and maintenanceComputational results indicate that the two-stage method based on proposed batching rule andimproved heuristics is effective

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844275

DOI 101109IEA20188387113

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionBPM (Batch processing machine) problem has attracted many researchers in recent years BPMis able to process a group of jobs as long as the number of jobs in the batch is less than or equalto the capacity of the machine To minimize total flow time Rui Xu [1] proposed an ant colonyalgorithm combined with the candidate list NR Parsa [2] proposed an algorithm using a hybridmax-min ant system AH Kashan [3] proposed a batch based hybrid genetic algorithm thatgenerates random batches of jobs and ensures feasibility To minimize total earliness andtardiness of the jobs NR Parsa [4] proposed a dynamic programming algorithm and severalheuristics BPM problem is practically applied in many manufacturing industries One of them issemiconductor wafer manufacturing industry BPM problem is applied in the furnace area in themanufacturing process of semiconductor wafers The machine is only shared by jobs requiringthe particular processing operation [5] That is in reality only semiconductor wafers with thesame kind of process can be grouped into a batch However the papers above did not take thisconstraint into consideration They assumed the jobs with different processing time can begrouped into the same batches Also the above papers did not consider about maintenancewhen grouping and scheduling jobs

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Jingying HuangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina

Liya WangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina

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raquo Update Address

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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|

My Settings Get HelpBrowse Subscribe

Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance

During this time saved searches will not be editable We apologize for any inconvenience

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KEYNOTE AND INVITE SPEAKERS

Keynote Speech

Keynote Speech ndashI

Abstract of speech

Many products are designed to last longer than

the typical lifespan of human being Its thus a

challenge to validate the design life through

reliability tests even when testing is conducted

under much harsher environment Not only that

test duration is usually constrained but the

samples available for testing may also be costly

andor limited in quantity Statistically optimal

plans will allow for efficient use of testing

resources and yet derive the most information

from the test In this presentation we shall

discuss ideas related to designing test plans for

both constant stress and step stress ALT leading

to the statistical optimal plan for sequential ALT

While that of constant ALT is basically a Bayesian

approach that for the step stress ALT requires

solving a dynamic program using backward

induction For the latter optimal solutions are

only available for exponential lifetime and there

are rooms for further research

Loon Ching TANG

BIO Dr Loon Ching TANG is currently the Director of

Temasek Defence Systems Institute and Professor of

Department of Industrial Systems Engineering and

Management at the National University of Singapore

He obtained his PhD degree from Cornell University in

the field of Operations Research in 1992 and has

published extensively in areas related to industrial

engineering and operations research He has been

presented with a number of best paper awards

including the IIE Transactions 2010 Best Application

Paper Award and 2012 RA EvansPK McElroy Award

for the best paper at Annual RAMS Prof Tang is the

main author of the award-winning book Six Sigma

Advanced Tools for Black Belts and Master Black Belts

Besides being active in the forefront of academic

research in the last 25 years Prof Tang has served as

consultant for many organizations such as the

Ministry of Home Affair Singapore Power Republic of

Singapore Air Force Seagate HP Phillips etc on a

wide range of projects aiming at improving

organizational and operations efficiency especially

through better management of engineering assets He

is currently a fellow of ISEAM the Editor of Quality amp

Reliability Engineering International and an editorial

review board member of the flagship journal of ASQ

Journal of Quality Technology (since 2006) He has

served as the Region VP (Asia) of IIE (2013-16) and a

member of the advisory board of the Singapore

Innovation and Productivity Institute

Apr 26(Thu) 2018 1305-1350

Auditorium Room

ldquoPlanning Sequential Accelerated Life Testingrdquo

Prof Loon Ching TANG

National University of Singapore Singapore

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Highlight

Keynote Speech ndashII

George ZHANG

BIO Professor Zhe George Zhang is a professor of

Management Science in the Department of Decision

Sciences at Western Washington University and a

professor of Operations Management in Beedie

School of Business at Simon Fraser University He is

also visiting professor of Sauder School of Business

at the University of British Columbia Dr Zhang

received his BS in Computer Science and MA in

Economics from Nankai University China his MBA

from the Schulich School of Business at York

University and his PhD in Operations research from

the University of Waterloo Professor Zhang has

published many papers in prestigious journals such

as Management Science Operations Research

Manufacturing amp Service Operations Management

Production and Operations Management IIE

Transactions IEEE Transactions Queueing Systems

Journal of Applied Probability Co-authored with

Professor Tian in 2006 he published the research

monograph Vacation Queueing Models - Theory

and Applications the first book on this particular

topic (now highly cited) Professor Zhangs research

interests include queueing theory and applications

and stochastic models for manufacturing and

service systems The main theme of his research is

to bridge the gap between theory and application

obtaining unobservable and sometimes

counter-intuitive but significantpractical

management insights via modeling and quantitative

analysis Currently he is particularly interested in

the quantitative and economic analysis of the

congestion problems in urbanmass transportation

networks healthmedical care systems and public

service systems with both customer service quality

and security concerns As an expert in data analysis

and quantitative modeling he has consulted in

industry and has given research seminars and short

lectures at leading universities around the world He

was invited to present plenary or keynote talks in

several international conferences Professor Zhang

is the one of Editor-in-Chiefs for new journal

Queueing Models and Service Management aan

associate editor of INFOR (Information Systems and

Operations Research) and is on the editorial board

of several international journals in Operations

Research and Management Science

Apr 26(Thu) 2018 1350-1435

Auditorium Room

ldquordquo

Prof George ZHANG

Western Washington University USA

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Highlight

Keynote Speech ndashIII

Abstract of speech

The purpose of this paper is to investigate the

generalized age maintenance policies for a system

with random working times When the system fails

it is subject to one of two types of failures with

age-dependent probability type I failure can be

removed by minimal repair and type II failure must

be rectified by replacementA First the system is

preventively replaced before type II failure at time T

or at the completion of Nth working projects

whichever occurs first Two modified models where

the system is preventively replaced before type II

failure at time T or at the completion of Nth

working projects whichever occurs last and it is

preventively replaced at the first completion of the

working project over time T or at the completion of

Nth working projects whichever occurs first are

considered By introducing costs due to repairs

maintenance and replacement the expected cost

per unit time is derived as a criterion of optimality

and the optimal policy that minimizes that cost is

discussed analytically

Shey-Huei SHEU

BIO Professor Shey-Huei Sheu is a Chair Professor

of Department of Statistics and Informatics Science

at the Providence University He is an Honorary

Chair Professor of the Department of Industrial

Management at the National Taiwan University of

Science and Technology He received his MS

degree (1979) in applied mathematics from the

National Tsing Hua University and his PhD degree

(1987) in statistics from the University of Kentucky

He has published in journals such as Naval Research

Logistics Journal of Applied Probability RAIRO

Operations Research Microelectronics and

Reliability Reliability Engineering and System Safety

International Journal of Systems Science Quality

and Reliability Engineering International

International Journal of Reliability Quality and

Safety Engineering Journal of the Operational

Research Society European Journal of the

Operational Research Computers and Operation

Research Computers and Industrial Engineering

Quality Engineering Asia-Pacific Journal of the

Operational Research Communications in

Statistics-Theory and Methods Computers and

Mathematics with Applications Simulation

Modeling Practice and Theory Communications in

Statistics-Simulation and Computation Journal of

Statistical Computation and Simulation

International Journal of Production Economics

Quality Technology and Quantitative Management

The International Journal of Advanced

Manufacturing Technology Expert Systems

International Journal of Computer Mathematics

Journal of Applied Statistics Production Planning

and Control International Journal of Production

Research Applied Mathematical Modelling IEEE

Transactions on Reliability and Annals of

Operations Research

Apr 26(Thu) 2018 1435-1520

Auditorium Room

ldquoThe Generalized Age Maintenance Policies with

Random Working Timesrdquo

Prof Shey-Huei SHEU

Providence University Taiwan

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Highlight

Keynote Speech ndashIV

Abstract of speech

IEEE 80211ah a specification belonging to 80211

wireless local area network (WLAN) protocol family

has been recently released to support the

long-range low-power and low-rate wireless

communication among smart devices used in

Internet of Thing (IoT) systems However security

requirements of the energy-constrained devices

have plenty of issues different from the traditional

wireless devices It requires that the lightweight

security protocols have to support low-power and

low-latency as well as the long-lasting features of

quantities of IoT devices The recently released IEEE

statndard IEEE 80211ai has specified a Fast Initial

Link Setup (FILS) which is a brand-new approach

aiming at establishing fast stable and secure links

among smart devices IEEE 80211ai could be applied

to other wireless systems such as the wireless

system of IEEE 80211ah with security

enhancements In this talk I would address the

secureity issues of IEEE 80211ai and IEEE 80211ah

with an new proposal to enhance the

authentication process in the link setup procedure

specified by IEEE 80211ai

Maode MA

BIO Dr Maode Ma is a Fellow of IET He received his

PhD degree in computer science from Hong Kong

University of Science and Technology in 1999 Now

Dr Ma is an Associate Professor in the School of

Electrical and Electronic Engineering at Nanyang

Technological University in Singapore He has

extensive research interests including network

security and wireless networking Dr Ma has about

350 international academic publications including

over 160 journal papers and about 190 conference

papers He has delivered over 50 keynote speeches

at various international conferences He has served

as various chairs for over 100 international

conferences He currently serves as the

Editor-in-Chief of International Journal of Computer

and Communication Engineering and International

Journal of Electronic Transport He also serves as a

Senior Editor or an Associate Editor for other 4

international academic journals Dr Ma is a Senior

Member of IEEE Communication Society and IEEE

Education Society and a Member of ACM He is the

Chair of the IEEE Education Society Singapore

Chapter and the Chair of the ACM Singapore

Chapter He has served as an IEEE Communication

Society Distinguished Lecturer from 2013-2016

Apr 26(Thu) 2018 1530-1615

Auditorium Room

ldquoEfficient and Secure Authentication Schemes for

IEEE 80211ah Networks rdquo

Prof Maode MA

Nanyang Technological University Singapore

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Highlight

Keynote Speech ndashV

Abstract of speech

Stochastic aircraft routing (SAR) plays a critical role

in defining the routing plans of airlines which

include assigning the aircraft to flight legs and

determining the time and location of maintenance

to the aircraft Based on the routing plan specified

by the airlines the maintenance providers should

schedule their workforce to perform maintenance

operations by solving the maintenance staffing

problem (MSP) MSP helps maintenance providers

to build their staffing plans which include the

assignment of manpower to each aircraft so that

aircraft receive the required maintenance

operations as planned Practically for airlines the

routing plan will be interrupted (eg flight delays) if

an aircraft cannot be released from the

maintenance station punctually Similarly for

maintenance providers if an aircraft misses the

scheduled appointment at the maintenance station

this will also cause a huge interruption to their

staffing plan Therefore there is an interrelationship

between SAR and MSP In the literature the focus

of each problem has been traditionally considered

separately with only limited consideration of their

interrelationship In this paper we study SAR along

with MSP with the objective of investigating the

interrelationship between SAR and MSP For this

purpose we propose a coordinated configuration

of SAR and MSP that is formulated as a

leader-follower Stackelbery game in which SAR

acts as a leader and MSP acts as a follower This

game is enacted through a bi-level optimization

model which is solved by a bi-level nested ant

colony optimization (ACO) algorithm A case study

of a major airline and maintenance provider located

in the Middle East is presented to demonstrate the

feasibility and potential of the proposed model The

results demonstrate significant saving in the costs

of both companies

Felix TS CHAN

BIO Professor Felix T S Chan received his BSc

Degree in Mechanical Engineering from Brighton

Polytechnic (now University) UK and obtained his

MSc and PhD in Manufacturing Engineering from

the Imperial College of Science and Technology

University of London UK Professor Chan is now

working at the Department of Industrial and

Systems Engineering The Hong Kong Polytechnic

University and also serving as Associate Dean

(Research) at the Faculty of Engineering His current

research interests are Logistics and Supply Chain

Management Operations Management

Distribution Coordination Systems Modelling and

Simulation AI Optimisation To date he has

published 16 book chapters over 300 refereed

international journal papers and 250 peer reviewed

international conference papers h index= 30 under

the Web of Science He is a chartered member of

the Chartered Institute of Logistics and Transport in

Hong Kong According to a study lately published in

the International Journal of Production Research

(httpdxdoiorg1010800020754320151037935)

the study measured the research contributions over

a 26-year time frame (1985-2010) of academic

institutions and individual authors to the field of

Apr 26(Thu) 2018 1615-1700

Auditorium Room

ldquoInvestigating the Interrelationship between

Stochastic Aircraft Routing of Airlines and

Maintenance Staffing of Maintenance Providersrdquo

Prof Felix TS CHAN

The Hong Kong Polytechnic University Hong Kong

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Highlight

Operations Management (OM) based on published

articles in 11 top-rated and well-known academic OM

journals Professor Chan was among the top 50

prolific authors list who have made the greatest

overall contribution to the field as measured by the

number of distributed and shared articles published

in the 11 designated journals Also Professor Chan

was Ranked No 3 in The top 100 authors as the

most productive researchers in the field of

Operations Management over the past 10 years

(2001-2010)

COMMITTEE

ICIEA 2018 Organizing Committee

International Advisory Committee

Zhe George Zhang Western Washington University USA

Conference Chairs

Felix T S Chan The Hong Kong Polytechnic University Hong Kong

Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan

Local Organizing Chair

TANG Loon Ching National University of Singapore Singapore

Organizing and Program Committees

Seoung Bum Kim School of Industrial Mangement Engineering Korea University

Usik Lee Inha University Korea

Maode Ma Nanyang Technological University Singapore

Finance Chair

Minghan Xi Dalian Maritime University China

International Technical Committees

Cheng-Feng HuNational Chiayi University Taiwan

Dong-Yuh YangNational Taipei University of Business Taiwan

Mario HirzGraz University of Technology Austria

Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt

Po-Hsiang Liu College of Business and Management in St Johns University USA

Taesu Cheong Korea University Korea

Tien-Lun Liu Chung Yuan Christian University Taiwan

Wei CaiWuhan University of Technology China

Jinguo Huang Huazhong University of Science and Technology China

Yu-Chung Tsao National Taiwan University of Science Technology Taiwan

Yip Mum WaiTunku Abdul Rahman University College Malaysia

Pule Kholopane University of Johannesburg South Africa

Bonivasius Prasetya Ichtiarto mercu buana university Indonesia

Elita Amrina Andalas University Indonesia

Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan

Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong

Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia

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Highlight
Lenovo
Highlight
Lenovo
Highlight
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Highlight

Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India

Byung Do Chung Yonsei University Korea

M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia

Sandeep Singhal National Institute of Technology India

J W Wang The University of Hong Kong Hong Kong

Ching-Chang Kuo National Taichung University of Science and Technology Taiwan

Kuo-Hsiung Wang Providence University Taiwan

ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia

Sangbok Lee Hansung University Korea

Adrian E Coronado Mondragon Royal Holloway University of London UK

Chin-I Lee Ling Tung University Taiwan

S H ChoiUniversity of Hong Kong Hong Kong

Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan

Wei Cai Wuhan University of Technology China

Hashibah Hamid Universiti Utara Malaysia Malaysia

TMA Ari Samadhi Bandung Institute of Technology Indonesia

Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia

Pi-Chun Hsu Chaoyang University of Technology Taiwan

Mu-Chen Chen National Chiao Tung University Taiwan

Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan

Tsu-Wei Yu Chaoyang University of Technology Taiwan

Lingyun Wei Beijing University of Posts and Telecommunications China

Hamdi Bashir University of sharjahUnited Arab Emirates

LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand

LIU Hai-peng Kunming University of Science and Technology China

Elfira Febriani Trisakti University Indonesia

Yu-Hsiang Hsiao National Taipei University Taiwan

Chien-Chih Wang Ming Chi University of Technology Taiwan

Atichart Harncharnchai Chiang Mai University Thailand

Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)

Switzerland

Bambang Suhardi Universitas Sebelas Maret Indonesia

Ssu Han Chen Ming Chi University of Technology Taiwan

Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia

Augustina Asih Rumanti Bandung Institute of Technology Indonesia

Maheshwar Dwivedy BML Munjal University India

Zhichuan Guan China university of petroleum (East China) China

Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia

Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia

Yenming J Chen National Kaohsiung University of Science and Technology Taiwan

Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia

TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand

Li Li Nanjing University of Science and Technology China

SERTIFIKAT

Page 11: Nilai Maksimal Prosiding - eprints.undip.ac.ideprints.undip.ac.id/70482/1/...of_GSCM_practice_peer_review_lengkap.pdf · discriminant function as Z= (0.238-IeM) + (0.602-GPU) + (1.161-CCO)

2018 The 5th International

Conference on Industrial

Engineering and Applications

Technical Program

April 26-28 2018

Shaw Foundation Alumni House National University of Singapore

Singapore

wwwicieaorg

Sponsored by Assisted by

ICIEA

2018

iii

2018 5th International Conference on Industrial Engineering and Applications

ICIEA 2018Table of Contents

Decision Analysis and Methods

Towards a Decision Support Approach for Selecting Physical Objects in Collaborative Supply Chain Processes

for Cyber Physical System-Transformation 1

Endric Hetterscheid Florian Schluumlter

Decision Support System for Inventory Control of Raw Materialmdash(Case Study PT Suwarni Agro Mandiri Plant

Pariaman Indonesia) 6

Difana Meilani Amelia Andiningtias Dicky Fatrias

Integration AHP and TOPSIS in Shipyard Location Selection 11

Ali Parkhan Aldrin Daeng Vatimbing Imam Djati Widodo

E-Business and E-Commerce

Inventory Management in E-commerce Supply Chain with Lateral Transshipment and Quick Response17

Xueqing Yu Lingyun Wei

Impact of Recommender Systems on Unplanned Purchase Behaviours in e-Commerce 21

Zhang Ying Chen Caixia Gu Wen Liu Xiaogang

Evaluating and Analyzing the Effectiveness of Online Advertising31

Huini Zhou Li Li Xiaoguang Gu

Micro Enterprise and e-Commerce Platform Literature Review and Agenda for Future Research 38

Clara Linggaputri Isti Surjandari Akhmad Hidayatno

Prefacehelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellipxiii

Conference Committeeshelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellipxiv

iv

Global Manufacturing and Engineering Economics

Optimal Manufacturing Outsourcing Decision Based on the Degree of Manufacturing Process

Standardization49

PingYu Chang Thi Thanh Nhan Phan

A Functional Design of a Cost Benefit Analysis Methodology for Transport Infrastructure Projects54

Tiep Nguyen Stephen Cook Indra Gunawan

Demand Management Practices in the Manufacturing Industry An Empirical South African Perspective 60

Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa

Healthcare Systems and Management

A Study on Healthcare-product Supply Chain with a Group Purchasing Organization67

Yin Han Lingyun Wei

A Study on Shortage of Hospital Beds in the Philippines Using System Dynamics 72

Josephine D German John Karlo P Mintildea Claudine Mae N Alfonso Kang-Hung Yang

Research on Health Monitoring Mechanism Based on Service Invocation79

Xuan Mei Xinming Tan

Business Process Reengineering for the Saline Management in Hospitals84

Sith Vilasdechanon Apichat Sopadang

The Acceptance Model of Hospital Information Systems in Thailand A Conceptual Framework Extending

TAM89

Paneepan Sombat Wornchanok Chaiyasoonthorn Singha Chaveesuk

Human Factors

An Experimental Study to Investigate Personality Traits on Pair Programming Efficiency in Extreme

Programming 95

Ramlall Poonam Chuttur M Yasser

Intention of Opening Up the Network of Personal Data 100

Mao-Sung Chen Tung-Kuan Liu Ming-Tien Tsai

The Differences of Individual Spatial Strategy on Their Solving Performance 105

Sakulporn Pornpanom Arisara Jiamsanguanwong

v

Understanding the Model of User Satisfaction in Using Cloud Storage Systems of Employees in Thailand A

Conceptual Framework 110

Kulapa Najantong Singha Chaveesuk Wornchanok Chaiyasoonthorn

Evaluating Variables That Affect Job Satisfaction of Bank Customer Contact Centre Agents in South Africa

116

Eveth Nwobodo-Anyadiegwu Charles Mbohwa Nokukhanya Ndlovu

Information Processing and Engineering

Real-time Localization and Navigation in an Indoor Environment Using Monocular Camera for Visually

Impaired 122

Kruthika Ramesh Nagananda S N Hariharan Ramasangu Rohini Deshpande

Experiment and Optimization of Magnetostrictive for Long Time Operation to Find Amplitude of Vibration

and Thermal Limit 129

Nuttakorn Pukseesang Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa

Some Methods for Measuring the Efficiency of Firms Utilizing Different Technologies 134

Soobin Choi Jaedong Kim Hanjun Lee

Core Challenges to Cloud PLM Adoption in Large Manufacturing Firms 141

Shikha Singh Subhas Chandra Misra

Intelligent Systems

Visual and Hearing Detection Capabilities to Discriminate whether a UAV Invade a Campus Airspace 146

S J Chang K W Li

Reflections on Facilitating the Development of ldquoInternet Plusrdquo Intelligent Manufacturing in China 150

Yong Tao Gang Zhao Qiushi Li Wen Zhao

A Study of Small Complicated Axisymmetric Parts Manufacturing in Industry 40 158

Chengcheng Zhu Shengdun Zhao Shuaipeng Li

Voltage Stability in DC Micro Grid by Controlling Two Battery Units with Hybrid Network Systems 163

Adhi Kusmantoro Ardyono Priyadi Mauridhi Hery Purnomo

Design and Implementation of IoT Based Smart Laboratory 169

M Poongothai P Muthu Subramanian A Rajeswari

vi

Analysis of Microwave Precipitation in the Topographic Barrier for the Lifting Condensation Level of Clouds

Formation 174

Supawat Kotchapradit Thanaset Thosdeekoraphat Samran Santalunai Chanchai Thongsopa

Improved Efficiency of Insect Pest Control System by SSPA 179

Phanupong Saeung Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa

Manufacturing Systems

Optimized Information Exchange Process between CAD and CAMmdashEnhanced Data Exchange in the Field of

Joining Technology from the Viewpoint of an Automotive Supplier 184

Alexander Kreis Mario Hirz Severin Stadler

Efficiency Improvement of Door Frame Manufacturing Process in Wood Product Manufacturing Industry

189

Lerdlekha Sriratana

The Structural Design of 3D Print Head and Execution of Printing via the Robotic Arm ABB IRB 140 194

Martin Pollaacutek Jozef Toumlroumlk Jozef Zajac Marek Kočiško Monika Teliškovaacute

Micro-fabrication Method of Au Micro-wire Structures on Substrate by Chemical Printing and Peeling Process

199

Potejana Potejanasak

Evaluation of Thermal Comfort Room Garment Workshop in Textile Vocational School 203

Anastasia Febiyani Bambang Suhardi Eko Pujiyanto

Modular Measuring System for the Force Distribution in Forming Processes 208

W Zorn L Hamm R Elsner W G Drossel

Gravity Filling System of Slurry for Rod Mill Sand with High Concentration and Research on Technical

Transformation in Jinchuan Mine 214

Li Li-Tao Yang Zhi-Qiang Gao Qian Wang Yong-Ding

Defect Reduction in the Board Front Door Trim Manufacturing Process 220

Punyisa Kuendee

Operations Research

Integrated Railway Timetable Scheduling Optimization Model and Rescheduling Recovery Optimization

Model A Systematic Literature Review 226

Erlangga Bayu Setyawan Dida Diah Damayanti

vii

A Comparative Analysis about the Balance Design of the Assembly Line by Branching amp Bound Method and

Lingo Method 231

Jia Shuyuan Huang Li Li Qin Gu Yonghu

The Optimal Routes and Modes Selection in Multimodal Transportation Networks Based on Improved A

Algorithm 236

Yan Liu Lingyun Wei

Industrial Cluster Optimization Based on Linear Programming 241

Roberto Montemanni Jafar Jamal

Multi-objective Joint Optimization of Batch-discrete Hybrid Flow Shop Scheduling Integrated with Machine

Maintenance 247

Yangyang Fei Huimin Ma

Investigating the Interrelationship between Stochastic Aircraft Routing of Airlines and Maintenance Staffing

of Maintenance Providers 254

Felix T S Chan Abdelrahman E E Eltoukhy

An Modified Relax-and-fix Algorithm for the Multi-level Lot-sizing Problem with Replaceablility 262

Mingyuan Wei Yifei Yuan Canrong Zhang

Height-Based Heuristics for Relocating Containers during Loading Operations 268

Yifei Yuan Canrong Zhang Ting Huang

A Record-to-Record Travel Algorithm for Multi-product and Multi-period Inventory Routing Problem 274

Fadillah Ramadhan Arif Imran Afrin Fauzya Rizana

Developing Tabu Search with Intensification and Diversification for the Seriation Problem 279

Pimprapai Thainiam

A Comparative Study of Mixed-Integer Linear Programming and Genetic Algorithms for Solving Binary

Problems 284

Punyisa Kuendee Udom Janjarassuk

Production Planning and Control

Concurrent Optimization of Job Shop Scheduling and Dynamic and Flexible Facility Layout Planning 289

Ryota Kamoshida

Makespan Minimization on Single Batch-processing Machine Considering Preventive Maintenance 294

Jingying Huang Liya Wang

viii

Customer Kansei-Oriented Restaurant Location Evaluation Using Kansei Engineering 299

Yu-Hsiang Hsiao Guan-Ting Chen

An Improvement Scheme for the Overall Line Effectiveness of a Production Line A Case Study 304

Jieli Li Yuhui Jia Binbin Xu Fei Chen Zhaojun Yang Xiaodong Li

An Adjustment Method for Material Inventory Control Decision Considered in Product Life Cycle 310

Jiun-Shiung Lin Jen-Huei Chang i-Yan Yang

Application of a Hidden Markov Model for Consistency Checking of Process Plant Facility Tag NumbersmdashA

Case Study 314

Jayaram Sivaramakrishnan Gareth Lee

Analyzing Circadian Rhythms for Breaktime Schedulling on Night Shift Work 321

Lovely Lady Ansor Firdaus

Resource-Reconfigured Flow Shop Scheduling and Lot-Sizing Problems in Semiconductor Test 326

Yige Zhang Yuangen Lu Cangrong Zhang

Process Flow Improvement in Production of Noise Filter Products through Lean Manufacturing Technique

333

Rattarak Moonpragarn Rungchat Chompu-inwai

Waste Reduction in the Shoe Sewing Factory 340

Pongpat Phetrungrueng

The Joint Replenishment Problem with Resource Restriction A Note 345

M I M Wahab Y Chen

Aggregate Planning in Canned Pineapple Production Lines 349

Datepard Charoenponyarrat Tuanjai Somboonwiwat

Applications of Data Mining

A Research Study on Unsupervised Machine Learning Algorithms for Early Fault Detection in Predictive

Maintenance 355

Nagdev Amruthnath Tarun Gupta

The Analysis of Matching Learners in Pair Programming Using K-Means 362

Naladtaporn Aottiwerch Urachart Kokaew

Machine Learning Based Approach for Demand Forecasting Anti-aircraft Missiles 367

Jaedong Kim Hanjun Lee Soobin Choi

ix

Quality Control and product lifecycle Management

Simultaneous Prediction Interval-Based Multiobjective Solution Approach for Multiple Quality Characteristics

Optimization 373

Abhinav Kumar Sharma Indrajit Mukherjee

The TQM Integration in Procurement Function Performance 378

Bisalyaputra K

Safety Analysis at Weaving Department of PT X Bogor Using Failure Mode and Effect Analysis (FMEA) and

Fault Tree Analysis (FTA) 382

Prima Fithri Nidi Annisa Riva Lusi Susanti Berry Yuliandra

Success Determinants to Product Lifecycle Management (PLM) Performance 386

Shikha Singh Subhas Chandra Misra

Company Performance Measurement for Automobile Companies a Composite Indicator from an

Environmental Perspective 391

Qinqin Zeng Wouter W A Beelaerts van Blokland Sicco C Santema Gabriel Lodewijks

Loss Time Reduction for Improve Overall Equipment Effectiveness (OEE) 396

Kamolchanok Krachangchan Natcha Thawesaengskulthai

Service Innovation and Management

Estimating Diffusion of Technology Using User Perceptual Values A Conceptual Model 401

Chaudry Bilal Ahmad Khan

Implementation of Innovative Digitalization Methods in Reverse Engineering 406

Monika Teliškovaacute Martin Pollaacutek Jozef Toumlroumlk Jakub Kaščaacutek Petr Baron Viktoria Mezencevova

Topological Evolution of Public Transportation Network A Case Study of Bangkok Rail Transit Network 410

Pijaya Na Bangxang Pisit Jarumaneeroj

A Design of Automated Parking System for Shopping Centers in Metro Manila 415

Ma Janice J Gumasing Charles Aaron V Atienza

Design of an Ergonomic Classroom Chair and Desk for Preschool Students of Selected Public Schools in

Cabuyao City Laguna 420

Ezrha C Godilano Mark Kevin G Galang Hazel Elaine O Ramilo Kristian Roi F Velayo

Design of an Ergonomic Wheelbarrow to Reduce Physiological Demands of General Users 424

Ezrha C Godilano Karl Vincent Casas Aubrey Justine Vargas

x

Ergonomic Intervention Addressing Musculoskeletal Disorders among Poultry Layer Workers 429

Ma Janice J Gumasing Rex Aurelius C Robielos

Wristwatch Development Based on Kansei Engineering 435

Imam Djati Widodo Heavy Zerry Novibrilliawan

Innovative Product Development of Fabric Glass Interlayer 440

Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong

Systems Modeling and Simulation

A Simulation Study of Multi-dimensional Clearing Function Considering Degradation for Semiconductor

Manufacturing 448

Jianqiu Huang Jingying Huang Liya Wang

Productivity Improvement of Tapioca Packing Process through Simulation Modeling Analysis 453

Nara Samattapapong

Modelling the Barriers for Mass Adoption of Electric Vehicles in Indian Automotive Sector An Interpretive

Structural Modeling (ISM) Approach 458

Surya Prakash Sameer Sharma Poudel Maheshwar Dwivedy Dilesh Raj Shrestha

Diagnostics of the Wire Coating Production Line by Implementation of Computation Methods 463

Ivan Kuric Miroslav Cisar Ivan Zajacko Tomas Gal

District Model with Two Types of Vehicles for Transporting Sugarcane 468

Rujirat Patcharamethanon Kanchala Sudtachat

Experiment of Induction Heating Application for Heating Multilayer Metallic Hollow Altered Cylinder 475

Jakkarin Srituvanont Thanaset Thosdeekoraphat Chanchai Thongsopa Samran Santalunai

A Framework for Analyzing and Developing Dashboard Templates for Small and Medium Enterprises 479

Wasinee Noonpakdee Thitiporn Khunkornsiri Acharaphun Phothichai Kriangsak Danaisawat

An Economic Order Quantity Model with Continous Quantity Discount and Probabilistic Demand 484

Ardian Rizaldi Ashaeurizky Dilianaputri Fitri A Anugrah Riska Ummaya Senator Nur Bahagia

Technology and Knowledge Management

Analyzing Interdependencies in a Project Portfolio Using Social Network Analysis Metrics 490

Helal Al Zaabi Hamdi Bashir

Sentiment Analysis of Twitter Corpus Related to Artificial Intelligence Assistants 495

Chae Won Park Dae Ryong Seo

xi

Artificial Neural Neural Network Approach for Technology Life Cyle Construction on Patent Data 499

Muhammad Hanif Ramadhan Vialli Ibrahim Malik Teddy Sjafrizal

A Systematic Literature Review on Knowledge Sharing for Innovation Empirical Study Approach 504

Augustina Asih Rumanti T M A Ari Samadhi Iwan Inrawan Wiratmadja Indryati Sunaryo

Belief Representation of Design Mental Model Based on Design Rationale 510

Chen Ying Jing Shikai Wang Yedong Cheng Dada

Study on Teaching Methods of Fundamental Electrical Courses in Engineering Education 515

Jianpei Chen Fei Gao Lingling Kong Lin Cui

Supply Chain Management

Supply Chain Model for Renewable Energy Resource from Biomass in Vietnam 520

Duy Nguyen Duc Narameth Nananukul

Exploring the Implementation of Green Supply Chain with Cluster and Discriminant AnalysismdashCase Study

Furniture Industry at Central Java Semarang 526

Aries Susanty Diana Puspita Sari

Systematic Literature Review and Improved Model for Mitigating Bullwhip Effect in Low Shelf Life Food

Supply Chain 531

Nia Novitasari Dida Diah Damayanti

Supply Chain Management Performance and Partial Least Square-Structural Equation Model An application

to Thai Tourism Supply Chain 536

Daraka Palang Korrakot Yaibuathet Tippayawong

An Economic Competitiveness Analysis of Power Generation Plants 543

Ndala Yves Mulongo Pule Kholopane

Supplier Selection Considering Sustainablitity Criteria by Using A Hybrid Evaluation Method in Printing

Business 548

Onsiree Mananawigapol Chorkaew Jaturanonda Tuanjai Somboonwiwat

Barriers and Drivers of eBIZ Adoption in the Fashion Supply Chain Preliminary Results 555

Bianca Bindi Virginia Fani Romeo Bandinelli Gilda Massa Gessica Ciaccio Arianna Brutti Piero De

Sabbata

A Simulation Analysis on Regional Logistics Development Based on System Dynamics The Case of Yunnan

Province 560

Yinyuan Si Wensheng Yang Huini Zhou

Lenovo
Highlight

xii

A Sustainability Assessment of Electricity Supply Systems 565

Ndala Yves Mulongo Pule Kholopane

Author Index

1040-1210 Friday 27 Apr

Session B-2 Supply Chain Management Venue Lemongrass Room

Chair

N066

Time 1040-1055

A study on Healthcare-product Supply Chain with a group purchasing organization Ms Yin Han Lingyun Wei Beijing University of posts and telecommunications Beijing China

In order to better understand the impact of group purchasing organization (GPO) on healthcare-product supply chain we build a supply chain model consisting of one manufacturer one competitive source one group purchasing organization(GPO) and n healthcare providers for a single product Providers may purchase from any source for minimizing their total costs Through considering different providersrsquo demands power schemes and revenue sharing between GPO and providers we analyze the performance of supply chain and its members under various situations Numerical examples show some interesting findings (1) When GPO dominates the supply chain GPO can obtain more profits (2)When manufacturer dominates the supply chain and GPO shares its revenue with providers there exists specific revenue sharing rates which increase GPOrsquos profits and reduce providersrsquo cost (3) Manufacturer always can achieve a same optimal profit by changing quantity discount rate when GPO dominates supply chain and shares its revenue with providers

N108

Time 1055-1110

Exploring the Implementation of Green Supply Chain with Cluster and Discriminant Analysis Case Study Furniture Industry at Central Java Semarang Dr Aries Susanty Diana Puspitasari Diponegoro Univeristy Indonesia This study has two objectives First this study aims to categorize the level of the implementation of Green Supply Chain Management (GSCM) practice among Small and Medium Enterprises (SMEs) of wooden furniture in several clusters Second this study aims to find the linear combination of five dimensions of GSCM practices that will discriminate best between prior defined clusters The study used primary data through questionnaires enclosed with the Likert scale 1-5 at 162 SMEs of wooden furniture located in Surakarta Jepara Semarang and Kudus The raw data level of implementation of five dimensions of GSCM practice is analyzed using K-Means cluster and discriminant analysis with the aid of the Statistical Package for the Social Sciences (SPSS) software The result of K-Means cluster analysis indicated that a two-cluster is the optimal number of a group for separating the data of the level of implementation of GSSM practice among SMEs of wooden furniture and the two clusters founded in this research are labeled as early adopter and laggards Then the result of the discriminant analysis indicated that as high as 9877 of the SMEs of wooden furniture was classified correctly The result of discriminant analysis also revealed the discriminant function as Z= (0238IEM) + (0602GPU) + (1161CCO) + (1128ECO) + (1126IRE) - 13124 and the threshold for evaluating a discriminant score of

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Conferences gt 2018 5th International Confer

3 Author(s) Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa View All Authors

Demand management practices in the manufacturing industry An empiricalSouth African perspective

38FullText Views

Abstract

Document Sections

I Introduction

II Literature Review

III Methodology

IV Resultsampinterpretations

V Conclusion

Authors

Figures

References

Keywords

Metrics

Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

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Keywords

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AbstractThis paper aims to identify and explore Demand Management (DM) practices used within the SouthAfrican Manufacturing industry The study followed a qualitative design approach in order to identifythe relationship between DM methods such as forecasting and the best practices used by therespondents Therefore a purposive sampling technique was used whereby a questionnaire was sentout via email to 15 manufacturing companies before meeting them for a face to face interviewconducted in two weeks Respondents varied from different industries such as automotive wood andpaper chemical food and beverage etc The results demonstrated that although the respondents areaware of the best practices for a good DM system they generally do not apply them entirely becauseof factors like fear of implementing change and failure to quickly adapt themselves to the change thatwould come with those best practices In addition the results also revealed that forecasting is themost used DM method by the respondents and a simple forecasting average is used to predict futuredemand Depending on the company the forecast is done either by a team or by functional areas

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844216

DOI 101109IEA20188387071

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionThe importance of satisfying the customer by meeting the demand has long been recognized bymanagers as crucial to making the organization successful However numerous problems occurand many factors need to be considered in order to give the customer what they want how theywant it as well as where and when they want it Failure to understand crucial characteristics ofdemand will result in supply shortage or excessive stock that will place serious financial burdenson the organization subsequently leading to a loss of market share and customers

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Eric Bakama MikobiDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

Eveth Nwobodo-AnyadiegwuDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

Charles MbohwaDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

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An integrative framework of knowledgemanagement enabled supply chainmanagement2008 IEEE International Conference onIndustrial Engineering and EngineeringManagementPublished 2008

An empirical approach for the application ofknowledge management on downstream supplychain management of Indian public sector oilcompanies2017 Fourteenth International Conference onWireless and Optical Communications Networks(WOCN)Published 2017

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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

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Conferences gt 2018 5th International Confer

2 Author(s) Shikha Singh Subhas Chandra Misra View All Authors

Core challenges to cloud PLM adoption in large manufacturing firms

60FullText Views

Abstract

Document Sections

I Introduction

II Literature Review

III ResearchMethodology

IV Case Study and DataAnalysis

V Result and Discussion

Show Full Outline

Authors

Figures

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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

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AbstractAs the globalization is at its peak and innovative products are at high demand firms are forced to workin a collaborative manner The product data must be lively available to all the collaborated partnersAlthough on-premise Product Lifecycle Management (PLM) systems are offering the collaborationsand product data management throughout the products lifecycle the Internet of Things (IoT) eraoffers more connectivity at a lesser cost Though most large manufacturing firms have established theon-premise PLM systems yet face some difficulties related to maintenance and upgradations of in-house information technology (IT) infrastructure Hence cloud PLM is under consideration foradoption among many large manufacturing firms However there are several challenges associatedwith cloud PLM adoption decision This work intends to find out the challenges which largemanufacturing firms face while deciding to adopt cloud PLM The empirical investigations have beenattempted to find out the relations among the challenges faced and to provide the guideline on how tofind out the core challenges which needs to be attended before adopting cloud PLM in largemanufacturing firms

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844276

DOI 101109IEA20188387085

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionProduct lifecycle management (PLM) systems are the IT tools [1] which support the PLMbusiness concept [2] to manage the whole lifecycle of a product in firms PLM systems help totransform the organizations into digitized era and make them technologically robust by giving a3D product designing and virtual manufacturing opportunity [3] PLM systems help in substantialcost savings by reducing the real manufacturing efforts Product-related knowledge must need tobe preserved so that it can help in the other phases of product lifecycle such as repair overhaulreuse recycle and or disposal of the product Increasing number of enterprise informationsystems stakeholders and product related information demand the need for a managementapproach which makes the managers capable of managing all the dispersed product informationat one common repository for reuse

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Shikha SinghDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India

Subhas Chandra MisraDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India

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The automation of the technological processesin the Manufacturing Internet of Things contextfor the pharmaceutical enterprises2018 IEEE 9th International Conference onDependable Systems Services andTechnologies (DESSERT)Published 2018

Integration of ERP and Internet of Things inIntelligent Enterprise Management2018 1st International Cognitive CitiesConference (IC3)Published 2018

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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|

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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance

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Conferences gt 2018 5th International Confer

3 Author(s) Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong View All Authors

Innovative product development of fabric glass interlayer

39FullText Views

Abstract

Document Sections

I Introduction

II Methodology

III Conclusion

Authors

Figures

References

Keywords

MetricsPublished in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

References

Keywords

Metrics

AbstractA glass manufacturer in Thailand developed the laminated fabric glass as innovative product in 2013but sales had declined in 2016 Customers survey shows that the satisfaction level decreased due tolong production lead time high-selling price and long installation time This paper aims to develop anew innovative fabric glass interlayer product by adopting 5D innovation development process 5Dconsists of Discover Define Design Develop and Deploy Firstly discover phase adopted Five ForcesAnalysis Customer Behavior Analysis and Customers Satisfaction Survey for specifying marketposition and seeking the hidden customers expectations Define is to summarize the project charteras initiation step in the project management and to scope resources and timeframe Design weadopted the integration of QFD Kano Model and Product Quality Index for prioritizing and translatingcustomer expectations to product specifications Then all concepts were concluded by Pugh MatrixWeighted Sum Score and confirmed the selected concept by financial feasibility study Developprocess is to prototyping to verify the production before scale up Finally generated the riskassessment plan by FMEA and contributed the business plan to ensure the effectivecommercialization in Deploy The developed fabric glass interlayer shows higher customer satisfactionlevel by shorten production lead time from 14 days to 8 days (4285) lower price from 790 bahtft to 485 bahtft (3861) and shorten installation time from 180 minutes to 45 minutes (75)

2

2

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844226

DOI 101109IEA20188387141

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionThe case company is one of the glass manufacturers in Thailand who process the fundamentalfunctional building glass tempered and laminated glass for the architectural construction andinterior decoration The companys vision was stated to be the leader of glass innovation within2022 To be the leader of the glass innovation case company should focus on the continuousinnovative product development The mainly innovative product that had been sold for manyyears was the fabric glass as 52 52 and 47 in 2015 2016 and 2017 respectively

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Ploynaplus ThanasirithamDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

Natcha ThawesaengskulthaiDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

Prasert AkkharaprathomphongDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

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Study of a Customer Satisfaction-OrientedModel for Outsourcing Software QualityManagement Using Quality FunctionDeployment (QFD)2008 4th International Conference on WirelessCommunications Networking and MobileComputingPublished 2008

Fuzzy Eco-Design Product Development byUsing Quality Function Deployment2005 4th International Symposium onEnvironmentally Conscious Design and InverseManufacturingPublished 2005

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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|

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Conferences gt 2018 5th International Confer

2 Author(s) Jingying Huang Liya Wang View All Authors

Makespan minimization on single batch-processing machine consideringpreventive maintenance

37FullText Views

Abstract

Document Sections

I Introduction

II Problem Description

III Batching Rule

IV Improved Heuristics

V ComputationalResults andDiscussions

Show Full Outline

Authors

Figures

References

Keywords

Metrics

Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

References

Keywords

Metrics

AbstractThis paper considers the problem of minimizing makespan on a single batch-processing machineconsidering preventive maintenance A mathematical model for integrating flexible preventivemaintenance into the batch-processing machine scheduling is proposed A two-stage method isproposed to solve the problem A batching rule considering maintenance is proposed to group jobsinto batches firstly And then we improve existing heuristics to schedule production and maintenanceComputational results indicate that the two-stage method based on proposed batching rule andimproved heuristics is effective

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844275

DOI 101109IEA20188387113

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionBPM (Batch processing machine) problem has attracted many researchers in recent years BPMis able to process a group of jobs as long as the number of jobs in the batch is less than or equalto the capacity of the machine To minimize total flow time Rui Xu [1] proposed an ant colonyalgorithm combined with the candidate list NR Parsa [2] proposed an algorithm using a hybridmax-min ant system AH Kashan [3] proposed a batch based hybrid genetic algorithm thatgenerates random batches of jobs and ensures feasibility To minimize total earliness andtardiness of the jobs NR Parsa [4] proposed a dynamic programming algorithm and severalheuristics BPM problem is practically applied in many manufacturing industries One of them issemiconductor wafer manufacturing industry BPM problem is applied in the furnace area in themanufacturing process of semiconductor wafers The machine is only shared by jobs requiringthe particular processing operation [5] That is in reality only semiconductor wafers with thesame kind of process can be grouped into a batch However the papers above did not take thisconstraint into consideration They assumed the jobs with different processing time can begrouped into the same batches Also the above papers did not consider about maintenancewhen grouping and scheduling jobs

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Jingying HuangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina

Liya WangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina

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ACO-based Parallel Machine SchedulingConsidering Both Setup Time and Run-basedPreventive Maintenance with ReliabilityConstraints2018 IEEE International Conference onIndustrial Engineering and EngineeringManagement (IEEM)Published 2018

MSPT2 Heuristic and Dynamic ProgrammingMethod for the Parallel Machine SchedulingProblem with scheduled PreventiveMaintenance2006 International Conference on ServiceSystems and Service ManagementPublished 2006

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About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|

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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance

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KEYNOTE AND INVITE SPEAKERS

Keynote Speech

Keynote Speech ndashI

Abstract of speech

Many products are designed to last longer than

the typical lifespan of human being Its thus a

challenge to validate the design life through

reliability tests even when testing is conducted

under much harsher environment Not only that

test duration is usually constrained but the

samples available for testing may also be costly

andor limited in quantity Statistically optimal

plans will allow for efficient use of testing

resources and yet derive the most information

from the test In this presentation we shall

discuss ideas related to designing test plans for

both constant stress and step stress ALT leading

to the statistical optimal plan for sequential ALT

While that of constant ALT is basically a Bayesian

approach that for the step stress ALT requires

solving a dynamic program using backward

induction For the latter optimal solutions are

only available for exponential lifetime and there

are rooms for further research

Loon Ching TANG

BIO Dr Loon Ching TANG is currently the Director of

Temasek Defence Systems Institute and Professor of

Department of Industrial Systems Engineering and

Management at the National University of Singapore

He obtained his PhD degree from Cornell University in

the field of Operations Research in 1992 and has

published extensively in areas related to industrial

engineering and operations research He has been

presented with a number of best paper awards

including the IIE Transactions 2010 Best Application

Paper Award and 2012 RA EvansPK McElroy Award

for the best paper at Annual RAMS Prof Tang is the

main author of the award-winning book Six Sigma

Advanced Tools for Black Belts and Master Black Belts

Besides being active in the forefront of academic

research in the last 25 years Prof Tang has served as

consultant for many organizations such as the

Ministry of Home Affair Singapore Power Republic of

Singapore Air Force Seagate HP Phillips etc on a

wide range of projects aiming at improving

organizational and operations efficiency especially

through better management of engineering assets He

is currently a fellow of ISEAM the Editor of Quality amp

Reliability Engineering International and an editorial

review board member of the flagship journal of ASQ

Journal of Quality Technology (since 2006) He has

served as the Region VP (Asia) of IIE (2013-16) and a

member of the advisory board of the Singapore

Innovation and Productivity Institute

Apr 26(Thu) 2018 1305-1350

Auditorium Room

ldquoPlanning Sequential Accelerated Life Testingrdquo

Prof Loon Ching TANG

National University of Singapore Singapore

Lenovo
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Keynote Speech ndashII

George ZHANG

BIO Professor Zhe George Zhang is a professor of

Management Science in the Department of Decision

Sciences at Western Washington University and a

professor of Operations Management in Beedie

School of Business at Simon Fraser University He is

also visiting professor of Sauder School of Business

at the University of British Columbia Dr Zhang

received his BS in Computer Science and MA in

Economics from Nankai University China his MBA

from the Schulich School of Business at York

University and his PhD in Operations research from

the University of Waterloo Professor Zhang has

published many papers in prestigious journals such

as Management Science Operations Research

Manufacturing amp Service Operations Management

Production and Operations Management IIE

Transactions IEEE Transactions Queueing Systems

Journal of Applied Probability Co-authored with

Professor Tian in 2006 he published the research

monograph Vacation Queueing Models - Theory

and Applications the first book on this particular

topic (now highly cited) Professor Zhangs research

interests include queueing theory and applications

and stochastic models for manufacturing and

service systems The main theme of his research is

to bridge the gap between theory and application

obtaining unobservable and sometimes

counter-intuitive but significantpractical

management insights via modeling and quantitative

analysis Currently he is particularly interested in

the quantitative and economic analysis of the

congestion problems in urbanmass transportation

networks healthmedical care systems and public

service systems with both customer service quality

and security concerns As an expert in data analysis

and quantitative modeling he has consulted in

industry and has given research seminars and short

lectures at leading universities around the world He

was invited to present plenary or keynote talks in

several international conferences Professor Zhang

is the one of Editor-in-Chiefs for new journal

Queueing Models and Service Management aan

associate editor of INFOR (Information Systems and

Operations Research) and is on the editorial board

of several international journals in Operations

Research and Management Science

Apr 26(Thu) 2018 1350-1435

Auditorium Room

ldquordquo

Prof George ZHANG

Western Washington University USA

Lenovo
Highlight

Keynote Speech ndashIII

Abstract of speech

The purpose of this paper is to investigate the

generalized age maintenance policies for a system

with random working times When the system fails

it is subject to one of two types of failures with

age-dependent probability type I failure can be

removed by minimal repair and type II failure must

be rectified by replacementA First the system is

preventively replaced before type II failure at time T

or at the completion of Nth working projects

whichever occurs first Two modified models where

the system is preventively replaced before type II

failure at time T or at the completion of Nth

working projects whichever occurs last and it is

preventively replaced at the first completion of the

working project over time T or at the completion of

Nth working projects whichever occurs first are

considered By introducing costs due to repairs

maintenance and replacement the expected cost

per unit time is derived as a criterion of optimality

and the optimal policy that minimizes that cost is

discussed analytically

Shey-Huei SHEU

BIO Professor Shey-Huei Sheu is a Chair Professor

of Department of Statistics and Informatics Science

at the Providence University He is an Honorary

Chair Professor of the Department of Industrial

Management at the National Taiwan University of

Science and Technology He received his MS

degree (1979) in applied mathematics from the

National Tsing Hua University and his PhD degree

(1987) in statistics from the University of Kentucky

He has published in journals such as Naval Research

Logistics Journal of Applied Probability RAIRO

Operations Research Microelectronics and

Reliability Reliability Engineering and System Safety

International Journal of Systems Science Quality

and Reliability Engineering International

International Journal of Reliability Quality and

Safety Engineering Journal of the Operational

Research Society European Journal of the

Operational Research Computers and Operation

Research Computers and Industrial Engineering

Quality Engineering Asia-Pacific Journal of the

Operational Research Communications in

Statistics-Theory and Methods Computers and

Mathematics with Applications Simulation

Modeling Practice and Theory Communications in

Statistics-Simulation and Computation Journal of

Statistical Computation and Simulation

International Journal of Production Economics

Quality Technology and Quantitative Management

The International Journal of Advanced

Manufacturing Technology Expert Systems

International Journal of Computer Mathematics

Journal of Applied Statistics Production Planning

and Control International Journal of Production

Research Applied Mathematical Modelling IEEE

Transactions on Reliability and Annals of

Operations Research

Apr 26(Thu) 2018 1435-1520

Auditorium Room

ldquoThe Generalized Age Maintenance Policies with

Random Working Timesrdquo

Prof Shey-Huei SHEU

Providence University Taiwan

Lenovo
Highlight

Keynote Speech ndashIV

Abstract of speech

IEEE 80211ah a specification belonging to 80211

wireless local area network (WLAN) protocol family

has been recently released to support the

long-range low-power and low-rate wireless

communication among smart devices used in

Internet of Thing (IoT) systems However security

requirements of the energy-constrained devices

have plenty of issues different from the traditional

wireless devices It requires that the lightweight

security protocols have to support low-power and

low-latency as well as the long-lasting features of

quantities of IoT devices The recently released IEEE

statndard IEEE 80211ai has specified a Fast Initial

Link Setup (FILS) which is a brand-new approach

aiming at establishing fast stable and secure links

among smart devices IEEE 80211ai could be applied

to other wireless systems such as the wireless

system of IEEE 80211ah with security

enhancements In this talk I would address the

secureity issues of IEEE 80211ai and IEEE 80211ah

with an new proposal to enhance the

authentication process in the link setup procedure

specified by IEEE 80211ai

Maode MA

BIO Dr Maode Ma is a Fellow of IET He received his

PhD degree in computer science from Hong Kong

University of Science and Technology in 1999 Now

Dr Ma is an Associate Professor in the School of

Electrical and Electronic Engineering at Nanyang

Technological University in Singapore He has

extensive research interests including network

security and wireless networking Dr Ma has about

350 international academic publications including

over 160 journal papers and about 190 conference

papers He has delivered over 50 keynote speeches

at various international conferences He has served

as various chairs for over 100 international

conferences He currently serves as the

Editor-in-Chief of International Journal of Computer

and Communication Engineering and International

Journal of Electronic Transport He also serves as a

Senior Editor or an Associate Editor for other 4

international academic journals Dr Ma is a Senior

Member of IEEE Communication Society and IEEE

Education Society and a Member of ACM He is the

Chair of the IEEE Education Society Singapore

Chapter and the Chair of the ACM Singapore

Chapter He has served as an IEEE Communication

Society Distinguished Lecturer from 2013-2016

Apr 26(Thu) 2018 1530-1615

Auditorium Room

ldquoEfficient and Secure Authentication Schemes for

IEEE 80211ah Networks rdquo

Prof Maode MA

Nanyang Technological University Singapore

Lenovo
Highlight

Keynote Speech ndashV

Abstract of speech

Stochastic aircraft routing (SAR) plays a critical role

in defining the routing plans of airlines which

include assigning the aircraft to flight legs and

determining the time and location of maintenance

to the aircraft Based on the routing plan specified

by the airlines the maintenance providers should

schedule their workforce to perform maintenance

operations by solving the maintenance staffing

problem (MSP) MSP helps maintenance providers

to build their staffing plans which include the

assignment of manpower to each aircraft so that

aircraft receive the required maintenance

operations as planned Practically for airlines the

routing plan will be interrupted (eg flight delays) if

an aircraft cannot be released from the

maintenance station punctually Similarly for

maintenance providers if an aircraft misses the

scheduled appointment at the maintenance station

this will also cause a huge interruption to their

staffing plan Therefore there is an interrelationship

between SAR and MSP In the literature the focus

of each problem has been traditionally considered

separately with only limited consideration of their

interrelationship In this paper we study SAR along

with MSP with the objective of investigating the

interrelationship between SAR and MSP For this

purpose we propose a coordinated configuration

of SAR and MSP that is formulated as a

leader-follower Stackelbery game in which SAR

acts as a leader and MSP acts as a follower This

game is enacted through a bi-level optimization

model which is solved by a bi-level nested ant

colony optimization (ACO) algorithm A case study

of a major airline and maintenance provider located

in the Middle East is presented to demonstrate the

feasibility and potential of the proposed model The

results demonstrate significant saving in the costs

of both companies

Felix TS CHAN

BIO Professor Felix T S Chan received his BSc

Degree in Mechanical Engineering from Brighton

Polytechnic (now University) UK and obtained his

MSc and PhD in Manufacturing Engineering from

the Imperial College of Science and Technology

University of London UK Professor Chan is now

working at the Department of Industrial and

Systems Engineering The Hong Kong Polytechnic

University and also serving as Associate Dean

(Research) at the Faculty of Engineering His current

research interests are Logistics and Supply Chain

Management Operations Management

Distribution Coordination Systems Modelling and

Simulation AI Optimisation To date he has

published 16 book chapters over 300 refereed

international journal papers and 250 peer reviewed

international conference papers h index= 30 under

the Web of Science He is a chartered member of

the Chartered Institute of Logistics and Transport in

Hong Kong According to a study lately published in

the International Journal of Production Research

(httpdxdoiorg1010800020754320151037935)

the study measured the research contributions over

a 26-year time frame (1985-2010) of academic

institutions and individual authors to the field of

Apr 26(Thu) 2018 1615-1700

Auditorium Room

ldquoInvestigating the Interrelationship between

Stochastic Aircraft Routing of Airlines and

Maintenance Staffing of Maintenance Providersrdquo

Prof Felix TS CHAN

The Hong Kong Polytechnic University Hong Kong

Lenovo
Highlight

Operations Management (OM) based on published

articles in 11 top-rated and well-known academic OM

journals Professor Chan was among the top 50

prolific authors list who have made the greatest

overall contribution to the field as measured by the

number of distributed and shared articles published

in the 11 designated journals Also Professor Chan

was Ranked No 3 in The top 100 authors as the

most productive researchers in the field of

Operations Management over the past 10 years

(2001-2010)

COMMITTEE

ICIEA 2018 Organizing Committee

International Advisory Committee

Zhe George Zhang Western Washington University USA

Conference Chairs

Felix T S Chan The Hong Kong Polytechnic University Hong Kong

Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan

Local Organizing Chair

TANG Loon Ching National University of Singapore Singapore

Organizing and Program Committees

Seoung Bum Kim School of Industrial Mangement Engineering Korea University

Usik Lee Inha University Korea

Maode Ma Nanyang Technological University Singapore

Finance Chair

Minghan Xi Dalian Maritime University China

International Technical Committees

Cheng-Feng HuNational Chiayi University Taiwan

Dong-Yuh YangNational Taipei University of Business Taiwan

Mario HirzGraz University of Technology Austria

Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt

Po-Hsiang Liu College of Business and Management in St Johns University USA

Taesu Cheong Korea University Korea

Tien-Lun Liu Chung Yuan Christian University Taiwan

Wei CaiWuhan University of Technology China

Jinguo Huang Huazhong University of Science and Technology China

Yu-Chung Tsao National Taiwan University of Science Technology Taiwan

Yip Mum WaiTunku Abdul Rahman University College Malaysia

Pule Kholopane University of Johannesburg South Africa

Bonivasius Prasetya Ichtiarto mercu buana university Indonesia

Elita Amrina Andalas University Indonesia

Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan

Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong

Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia

Lenovo
Highlight
Lenovo
Highlight
Lenovo
Highlight
Lenovo
Highlight

Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India

Byung Do Chung Yonsei University Korea

M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia

Sandeep Singhal National Institute of Technology India

J W Wang The University of Hong Kong Hong Kong

Ching-Chang Kuo National Taichung University of Science and Technology Taiwan

Kuo-Hsiung Wang Providence University Taiwan

ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia

Sangbok Lee Hansung University Korea

Adrian E Coronado Mondragon Royal Holloway University of London UK

Chin-I Lee Ling Tung University Taiwan

S H ChoiUniversity of Hong Kong Hong Kong

Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan

Wei Cai Wuhan University of Technology China

Hashibah Hamid Universiti Utara Malaysia Malaysia

TMA Ari Samadhi Bandung Institute of Technology Indonesia

Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia

Pi-Chun Hsu Chaoyang University of Technology Taiwan

Mu-Chen Chen National Chiao Tung University Taiwan

Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan

Tsu-Wei Yu Chaoyang University of Technology Taiwan

Lingyun Wei Beijing University of Posts and Telecommunications China

Hamdi Bashir University of sharjahUnited Arab Emirates

LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand

LIU Hai-peng Kunming University of Science and Technology China

Elfira Febriani Trisakti University Indonesia

Yu-Hsiang Hsiao National Taipei University Taiwan

Chien-Chih Wang Ming Chi University of Technology Taiwan

Atichart Harncharnchai Chiang Mai University Thailand

Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)

Switzerland

Bambang Suhardi Universitas Sebelas Maret Indonesia

Ssu Han Chen Ming Chi University of Technology Taiwan

Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia

Augustina Asih Rumanti Bandung Institute of Technology Indonesia

Maheshwar Dwivedy BML Munjal University India

Zhichuan Guan China university of petroleum (East China) China

Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia

Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia

Yenming J Chen National Kaohsiung University of Science and Technology Taiwan

Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia

TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand

Li Li Nanjing University of Science and Technology China

SERTIFIKAT

Page 12: Nilai Maksimal Prosiding - eprints.undip.ac.ideprints.undip.ac.id/70482/1/...of_GSCM_practice_peer_review_lengkap.pdf · discriminant function as Z= (0.238-IeM) + (0.602-GPU) + (1.161-CCO)

iii

2018 5th International Conference on Industrial Engineering and Applications

ICIEA 2018Table of Contents

Decision Analysis and Methods

Towards a Decision Support Approach for Selecting Physical Objects in Collaborative Supply Chain Processes

for Cyber Physical System-Transformation 1

Endric Hetterscheid Florian Schluumlter

Decision Support System for Inventory Control of Raw Materialmdash(Case Study PT Suwarni Agro Mandiri Plant

Pariaman Indonesia) 6

Difana Meilani Amelia Andiningtias Dicky Fatrias

Integration AHP and TOPSIS in Shipyard Location Selection 11

Ali Parkhan Aldrin Daeng Vatimbing Imam Djati Widodo

E-Business and E-Commerce

Inventory Management in E-commerce Supply Chain with Lateral Transshipment and Quick Response17

Xueqing Yu Lingyun Wei

Impact of Recommender Systems on Unplanned Purchase Behaviours in e-Commerce 21

Zhang Ying Chen Caixia Gu Wen Liu Xiaogang

Evaluating and Analyzing the Effectiveness of Online Advertising31

Huini Zhou Li Li Xiaoguang Gu

Micro Enterprise and e-Commerce Platform Literature Review and Agenda for Future Research 38

Clara Linggaputri Isti Surjandari Akhmad Hidayatno

Prefacehelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellipxiii

Conference Committeeshelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphelliphellipxiv

iv

Global Manufacturing and Engineering Economics

Optimal Manufacturing Outsourcing Decision Based on the Degree of Manufacturing Process

Standardization49

PingYu Chang Thi Thanh Nhan Phan

A Functional Design of a Cost Benefit Analysis Methodology for Transport Infrastructure Projects54

Tiep Nguyen Stephen Cook Indra Gunawan

Demand Management Practices in the Manufacturing Industry An Empirical South African Perspective 60

Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa

Healthcare Systems and Management

A Study on Healthcare-product Supply Chain with a Group Purchasing Organization67

Yin Han Lingyun Wei

A Study on Shortage of Hospital Beds in the Philippines Using System Dynamics 72

Josephine D German John Karlo P Mintildea Claudine Mae N Alfonso Kang-Hung Yang

Research on Health Monitoring Mechanism Based on Service Invocation79

Xuan Mei Xinming Tan

Business Process Reengineering for the Saline Management in Hospitals84

Sith Vilasdechanon Apichat Sopadang

The Acceptance Model of Hospital Information Systems in Thailand A Conceptual Framework Extending

TAM89

Paneepan Sombat Wornchanok Chaiyasoonthorn Singha Chaveesuk

Human Factors

An Experimental Study to Investigate Personality Traits on Pair Programming Efficiency in Extreme

Programming 95

Ramlall Poonam Chuttur M Yasser

Intention of Opening Up the Network of Personal Data 100

Mao-Sung Chen Tung-Kuan Liu Ming-Tien Tsai

The Differences of Individual Spatial Strategy on Their Solving Performance 105

Sakulporn Pornpanom Arisara Jiamsanguanwong

v

Understanding the Model of User Satisfaction in Using Cloud Storage Systems of Employees in Thailand A

Conceptual Framework 110

Kulapa Najantong Singha Chaveesuk Wornchanok Chaiyasoonthorn

Evaluating Variables That Affect Job Satisfaction of Bank Customer Contact Centre Agents in South Africa

116

Eveth Nwobodo-Anyadiegwu Charles Mbohwa Nokukhanya Ndlovu

Information Processing and Engineering

Real-time Localization and Navigation in an Indoor Environment Using Monocular Camera for Visually

Impaired 122

Kruthika Ramesh Nagananda S N Hariharan Ramasangu Rohini Deshpande

Experiment and Optimization of Magnetostrictive for Long Time Operation to Find Amplitude of Vibration

and Thermal Limit 129

Nuttakorn Pukseesang Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa

Some Methods for Measuring the Efficiency of Firms Utilizing Different Technologies 134

Soobin Choi Jaedong Kim Hanjun Lee

Core Challenges to Cloud PLM Adoption in Large Manufacturing Firms 141

Shikha Singh Subhas Chandra Misra

Intelligent Systems

Visual and Hearing Detection Capabilities to Discriminate whether a UAV Invade a Campus Airspace 146

S J Chang K W Li

Reflections on Facilitating the Development of ldquoInternet Plusrdquo Intelligent Manufacturing in China 150

Yong Tao Gang Zhao Qiushi Li Wen Zhao

A Study of Small Complicated Axisymmetric Parts Manufacturing in Industry 40 158

Chengcheng Zhu Shengdun Zhao Shuaipeng Li

Voltage Stability in DC Micro Grid by Controlling Two Battery Units with Hybrid Network Systems 163

Adhi Kusmantoro Ardyono Priyadi Mauridhi Hery Purnomo

Design and Implementation of IoT Based Smart Laboratory 169

M Poongothai P Muthu Subramanian A Rajeswari

vi

Analysis of Microwave Precipitation in the Topographic Barrier for the Lifting Condensation Level of Clouds

Formation 174

Supawat Kotchapradit Thanaset Thosdeekoraphat Samran Santalunai Chanchai Thongsopa

Improved Efficiency of Insect Pest Control System by SSPA 179

Phanupong Saeung Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa

Manufacturing Systems

Optimized Information Exchange Process between CAD and CAMmdashEnhanced Data Exchange in the Field of

Joining Technology from the Viewpoint of an Automotive Supplier 184

Alexander Kreis Mario Hirz Severin Stadler

Efficiency Improvement of Door Frame Manufacturing Process in Wood Product Manufacturing Industry

189

Lerdlekha Sriratana

The Structural Design of 3D Print Head and Execution of Printing via the Robotic Arm ABB IRB 140 194

Martin Pollaacutek Jozef Toumlroumlk Jozef Zajac Marek Kočiško Monika Teliškovaacute

Micro-fabrication Method of Au Micro-wire Structures on Substrate by Chemical Printing and Peeling Process

199

Potejana Potejanasak

Evaluation of Thermal Comfort Room Garment Workshop in Textile Vocational School 203

Anastasia Febiyani Bambang Suhardi Eko Pujiyanto

Modular Measuring System for the Force Distribution in Forming Processes 208

W Zorn L Hamm R Elsner W G Drossel

Gravity Filling System of Slurry for Rod Mill Sand with High Concentration and Research on Technical

Transformation in Jinchuan Mine 214

Li Li-Tao Yang Zhi-Qiang Gao Qian Wang Yong-Ding

Defect Reduction in the Board Front Door Trim Manufacturing Process 220

Punyisa Kuendee

Operations Research

Integrated Railway Timetable Scheduling Optimization Model and Rescheduling Recovery Optimization

Model A Systematic Literature Review 226

Erlangga Bayu Setyawan Dida Diah Damayanti

vii

A Comparative Analysis about the Balance Design of the Assembly Line by Branching amp Bound Method and

Lingo Method 231

Jia Shuyuan Huang Li Li Qin Gu Yonghu

The Optimal Routes and Modes Selection in Multimodal Transportation Networks Based on Improved A

Algorithm 236

Yan Liu Lingyun Wei

Industrial Cluster Optimization Based on Linear Programming 241

Roberto Montemanni Jafar Jamal

Multi-objective Joint Optimization of Batch-discrete Hybrid Flow Shop Scheduling Integrated with Machine

Maintenance 247

Yangyang Fei Huimin Ma

Investigating the Interrelationship between Stochastic Aircraft Routing of Airlines and Maintenance Staffing

of Maintenance Providers 254

Felix T S Chan Abdelrahman E E Eltoukhy

An Modified Relax-and-fix Algorithm for the Multi-level Lot-sizing Problem with Replaceablility 262

Mingyuan Wei Yifei Yuan Canrong Zhang

Height-Based Heuristics for Relocating Containers during Loading Operations 268

Yifei Yuan Canrong Zhang Ting Huang

A Record-to-Record Travel Algorithm for Multi-product and Multi-period Inventory Routing Problem 274

Fadillah Ramadhan Arif Imran Afrin Fauzya Rizana

Developing Tabu Search with Intensification and Diversification for the Seriation Problem 279

Pimprapai Thainiam

A Comparative Study of Mixed-Integer Linear Programming and Genetic Algorithms for Solving Binary

Problems 284

Punyisa Kuendee Udom Janjarassuk

Production Planning and Control

Concurrent Optimization of Job Shop Scheduling and Dynamic and Flexible Facility Layout Planning 289

Ryota Kamoshida

Makespan Minimization on Single Batch-processing Machine Considering Preventive Maintenance 294

Jingying Huang Liya Wang

viii

Customer Kansei-Oriented Restaurant Location Evaluation Using Kansei Engineering 299

Yu-Hsiang Hsiao Guan-Ting Chen

An Improvement Scheme for the Overall Line Effectiveness of a Production Line A Case Study 304

Jieli Li Yuhui Jia Binbin Xu Fei Chen Zhaojun Yang Xiaodong Li

An Adjustment Method for Material Inventory Control Decision Considered in Product Life Cycle 310

Jiun-Shiung Lin Jen-Huei Chang i-Yan Yang

Application of a Hidden Markov Model for Consistency Checking of Process Plant Facility Tag NumbersmdashA

Case Study 314

Jayaram Sivaramakrishnan Gareth Lee

Analyzing Circadian Rhythms for Breaktime Schedulling on Night Shift Work 321

Lovely Lady Ansor Firdaus

Resource-Reconfigured Flow Shop Scheduling and Lot-Sizing Problems in Semiconductor Test 326

Yige Zhang Yuangen Lu Cangrong Zhang

Process Flow Improvement in Production of Noise Filter Products through Lean Manufacturing Technique

333

Rattarak Moonpragarn Rungchat Chompu-inwai

Waste Reduction in the Shoe Sewing Factory 340

Pongpat Phetrungrueng

The Joint Replenishment Problem with Resource Restriction A Note 345

M I M Wahab Y Chen

Aggregate Planning in Canned Pineapple Production Lines 349

Datepard Charoenponyarrat Tuanjai Somboonwiwat

Applications of Data Mining

A Research Study on Unsupervised Machine Learning Algorithms for Early Fault Detection in Predictive

Maintenance 355

Nagdev Amruthnath Tarun Gupta

The Analysis of Matching Learners in Pair Programming Using K-Means 362

Naladtaporn Aottiwerch Urachart Kokaew

Machine Learning Based Approach for Demand Forecasting Anti-aircraft Missiles 367

Jaedong Kim Hanjun Lee Soobin Choi

ix

Quality Control and product lifecycle Management

Simultaneous Prediction Interval-Based Multiobjective Solution Approach for Multiple Quality Characteristics

Optimization 373

Abhinav Kumar Sharma Indrajit Mukherjee

The TQM Integration in Procurement Function Performance 378

Bisalyaputra K

Safety Analysis at Weaving Department of PT X Bogor Using Failure Mode and Effect Analysis (FMEA) and

Fault Tree Analysis (FTA) 382

Prima Fithri Nidi Annisa Riva Lusi Susanti Berry Yuliandra

Success Determinants to Product Lifecycle Management (PLM) Performance 386

Shikha Singh Subhas Chandra Misra

Company Performance Measurement for Automobile Companies a Composite Indicator from an

Environmental Perspective 391

Qinqin Zeng Wouter W A Beelaerts van Blokland Sicco C Santema Gabriel Lodewijks

Loss Time Reduction for Improve Overall Equipment Effectiveness (OEE) 396

Kamolchanok Krachangchan Natcha Thawesaengskulthai

Service Innovation and Management

Estimating Diffusion of Technology Using User Perceptual Values A Conceptual Model 401

Chaudry Bilal Ahmad Khan

Implementation of Innovative Digitalization Methods in Reverse Engineering 406

Monika Teliškovaacute Martin Pollaacutek Jozef Toumlroumlk Jakub Kaščaacutek Petr Baron Viktoria Mezencevova

Topological Evolution of Public Transportation Network A Case Study of Bangkok Rail Transit Network 410

Pijaya Na Bangxang Pisit Jarumaneeroj

A Design of Automated Parking System for Shopping Centers in Metro Manila 415

Ma Janice J Gumasing Charles Aaron V Atienza

Design of an Ergonomic Classroom Chair and Desk for Preschool Students of Selected Public Schools in

Cabuyao City Laguna 420

Ezrha C Godilano Mark Kevin G Galang Hazel Elaine O Ramilo Kristian Roi F Velayo

Design of an Ergonomic Wheelbarrow to Reduce Physiological Demands of General Users 424

Ezrha C Godilano Karl Vincent Casas Aubrey Justine Vargas

x

Ergonomic Intervention Addressing Musculoskeletal Disorders among Poultry Layer Workers 429

Ma Janice J Gumasing Rex Aurelius C Robielos

Wristwatch Development Based on Kansei Engineering 435

Imam Djati Widodo Heavy Zerry Novibrilliawan

Innovative Product Development of Fabric Glass Interlayer 440

Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong

Systems Modeling and Simulation

A Simulation Study of Multi-dimensional Clearing Function Considering Degradation for Semiconductor

Manufacturing 448

Jianqiu Huang Jingying Huang Liya Wang

Productivity Improvement of Tapioca Packing Process through Simulation Modeling Analysis 453

Nara Samattapapong

Modelling the Barriers for Mass Adoption of Electric Vehicles in Indian Automotive Sector An Interpretive

Structural Modeling (ISM) Approach 458

Surya Prakash Sameer Sharma Poudel Maheshwar Dwivedy Dilesh Raj Shrestha

Diagnostics of the Wire Coating Production Line by Implementation of Computation Methods 463

Ivan Kuric Miroslav Cisar Ivan Zajacko Tomas Gal

District Model with Two Types of Vehicles for Transporting Sugarcane 468

Rujirat Patcharamethanon Kanchala Sudtachat

Experiment of Induction Heating Application for Heating Multilayer Metallic Hollow Altered Cylinder 475

Jakkarin Srituvanont Thanaset Thosdeekoraphat Chanchai Thongsopa Samran Santalunai

A Framework for Analyzing and Developing Dashboard Templates for Small and Medium Enterprises 479

Wasinee Noonpakdee Thitiporn Khunkornsiri Acharaphun Phothichai Kriangsak Danaisawat

An Economic Order Quantity Model with Continous Quantity Discount and Probabilistic Demand 484

Ardian Rizaldi Ashaeurizky Dilianaputri Fitri A Anugrah Riska Ummaya Senator Nur Bahagia

Technology and Knowledge Management

Analyzing Interdependencies in a Project Portfolio Using Social Network Analysis Metrics 490

Helal Al Zaabi Hamdi Bashir

Sentiment Analysis of Twitter Corpus Related to Artificial Intelligence Assistants 495

Chae Won Park Dae Ryong Seo

xi

Artificial Neural Neural Network Approach for Technology Life Cyle Construction on Patent Data 499

Muhammad Hanif Ramadhan Vialli Ibrahim Malik Teddy Sjafrizal

A Systematic Literature Review on Knowledge Sharing for Innovation Empirical Study Approach 504

Augustina Asih Rumanti T M A Ari Samadhi Iwan Inrawan Wiratmadja Indryati Sunaryo

Belief Representation of Design Mental Model Based on Design Rationale 510

Chen Ying Jing Shikai Wang Yedong Cheng Dada

Study on Teaching Methods of Fundamental Electrical Courses in Engineering Education 515

Jianpei Chen Fei Gao Lingling Kong Lin Cui

Supply Chain Management

Supply Chain Model for Renewable Energy Resource from Biomass in Vietnam 520

Duy Nguyen Duc Narameth Nananukul

Exploring the Implementation of Green Supply Chain with Cluster and Discriminant AnalysismdashCase Study

Furniture Industry at Central Java Semarang 526

Aries Susanty Diana Puspita Sari

Systematic Literature Review and Improved Model for Mitigating Bullwhip Effect in Low Shelf Life Food

Supply Chain 531

Nia Novitasari Dida Diah Damayanti

Supply Chain Management Performance and Partial Least Square-Structural Equation Model An application

to Thai Tourism Supply Chain 536

Daraka Palang Korrakot Yaibuathet Tippayawong

An Economic Competitiveness Analysis of Power Generation Plants 543

Ndala Yves Mulongo Pule Kholopane

Supplier Selection Considering Sustainablitity Criteria by Using A Hybrid Evaluation Method in Printing

Business 548

Onsiree Mananawigapol Chorkaew Jaturanonda Tuanjai Somboonwiwat

Barriers and Drivers of eBIZ Adoption in the Fashion Supply Chain Preliminary Results 555

Bianca Bindi Virginia Fani Romeo Bandinelli Gilda Massa Gessica Ciaccio Arianna Brutti Piero De

Sabbata

A Simulation Analysis on Regional Logistics Development Based on System Dynamics The Case of Yunnan

Province 560

Yinyuan Si Wensheng Yang Huini Zhou

Lenovo
Highlight

xii

A Sustainability Assessment of Electricity Supply Systems 565

Ndala Yves Mulongo Pule Kholopane

Author Index

1040-1210 Friday 27 Apr

Session B-2 Supply Chain Management Venue Lemongrass Room

Chair

N066

Time 1040-1055

A study on Healthcare-product Supply Chain with a group purchasing organization Ms Yin Han Lingyun Wei Beijing University of posts and telecommunications Beijing China

In order to better understand the impact of group purchasing organization (GPO) on healthcare-product supply chain we build a supply chain model consisting of one manufacturer one competitive source one group purchasing organization(GPO) and n healthcare providers for a single product Providers may purchase from any source for minimizing their total costs Through considering different providersrsquo demands power schemes and revenue sharing between GPO and providers we analyze the performance of supply chain and its members under various situations Numerical examples show some interesting findings (1) When GPO dominates the supply chain GPO can obtain more profits (2)When manufacturer dominates the supply chain and GPO shares its revenue with providers there exists specific revenue sharing rates which increase GPOrsquos profits and reduce providersrsquo cost (3) Manufacturer always can achieve a same optimal profit by changing quantity discount rate when GPO dominates supply chain and shares its revenue with providers

N108

Time 1055-1110

Exploring the Implementation of Green Supply Chain with Cluster and Discriminant Analysis Case Study Furniture Industry at Central Java Semarang Dr Aries Susanty Diana Puspitasari Diponegoro Univeristy Indonesia This study has two objectives First this study aims to categorize the level of the implementation of Green Supply Chain Management (GSCM) practice among Small and Medium Enterprises (SMEs) of wooden furniture in several clusters Second this study aims to find the linear combination of five dimensions of GSCM practices that will discriminate best between prior defined clusters The study used primary data through questionnaires enclosed with the Likert scale 1-5 at 162 SMEs of wooden furniture located in Surakarta Jepara Semarang and Kudus The raw data level of implementation of five dimensions of GSCM practice is analyzed using K-Means cluster and discriminant analysis with the aid of the Statistical Package for the Social Sciences (SPSS) software The result of K-Means cluster analysis indicated that a two-cluster is the optimal number of a group for separating the data of the level of implementation of GSSM practice among SMEs of wooden furniture and the two clusters founded in this research are labeled as early adopter and laggards Then the result of the discriminant analysis indicated that as high as 9877 of the SMEs of wooden furniture was classified correctly The result of discriminant analysis also revealed the discriminant function as Z= (0238IEM) + (0602GPU) + (1161CCO) + (1128ECO) + (1126IRE) - 13124 and the threshold for evaluating a discriminant score of

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Conferences gt 2018 5th International Confer

3 Author(s) Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa View All Authors

Demand management practices in the manufacturing industry An empiricalSouth African perspective

38FullText Views

Abstract

Document Sections

I Introduction

II Literature Review

III Methodology

IV Resultsampinterpretations

V Conclusion

Authors

Figures

References

Keywords

Metrics

Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

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Metrics

AbstractThis paper aims to identify and explore Demand Management (DM) practices used within the SouthAfrican Manufacturing industry The study followed a qualitative design approach in order to identifythe relationship between DM methods such as forecasting and the best practices used by therespondents Therefore a purposive sampling technique was used whereby a questionnaire was sentout via email to 15 manufacturing companies before meeting them for a face to face interviewconducted in two weeks Respondents varied from different industries such as automotive wood andpaper chemical food and beverage etc The results demonstrated that although the respondents areaware of the best practices for a good DM system they generally do not apply them entirely becauseof factors like fear of implementing change and failure to quickly adapt themselves to the change thatwould come with those best practices In addition the results also revealed that forecasting is themost used DM method by the respondents and a simple forecasting average is used to predict futuredemand Depending on the company the forecast is done either by a team or by functional areas

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844216

DOI 101109IEA20188387071

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionThe importance of satisfying the customer by meeting the demand has long been recognized bymanagers as crucial to making the organization successful However numerous problems occurand many factors need to be considered in order to give the customer what they want how theywant it as well as where and when they want it Failure to understand crucial characteristics ofdemand will result in supply shortage or excessive stock that will place serious financial burdenson the organization subsequently leading to a loss of market share and customers

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Eric Bakama MikobiDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

Eveth Nwobodo-AnyadiegwuDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

Charles MbohwaDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

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An integrative framework of knowledgemanagement enabled supply chainmanagement2008 IEEE International Conference onIndustrial Engineering and EngineeringManagementPublished 2008

An empirical approach for the application ofknowledge management on downstream supplychain management of Indian public sector oilcompanies2017 Fourteenth International Conference onWireless and Optical Communications Networks(WOCN)Published 2017

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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

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Conferences gt 2018 5th International Confer

2 Author(s) Shikha Singh Subhas Chandra Misra View All Authors

Core challenges to cloud PLM adoption in large manufacturing firms

60FullText Views

Abstract

Document Sections

I Introduction

II Literature Review

III ResearchMethodology

IV Case Study and DataAnalysis

V Result and Discussion

Show Full Outline

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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

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AbstractAs the globalization is at its peak and innovative products are at high demand firms are forced to workin a collaborative manner The product data must be lively available to all the collaborated partnersAlthough on-premise Product Lifecycle Management (PLM) systems are offering the collaborationsand product data management throughout the products lifecycle the Internet of Things (IoT) eraoffers more connectivity at a lesser cost Though most large manufacturing firms have established theon-premise PLM systems yet face some difficulties related to maintenance and upgradations of in-house information technology (IT) infrastructure Hence cloud PLM is under consideration foradoption among many large manufacturing firms However there are several challenges associatedwith cloud PLM adoption decision This work intends to find out the challenges which largemanufacturing firms face while deciding to adopt cloud PLM The empirical investigations have beenattempted to find out the relations among the challenges faced and to provide the guideline on how tofind out the core challenges which needs to be attended before adopting cloud PLM in largemanufacturing firms

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844276

DOI 101109IEA20188387085

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionProduct lifecycle management (PLM) systems are the IT tools [1] which support the PLMbusiness concept [2] to manage the whole lifecycle of a product in firms PLM systems help totransform the organizations into digitized era and make them technologically robust by giving a3D product designing and virtual manufacturing opportunity [3] PLM systems help in substantialcost savings by reducing the real manufacturing efforts Product-related knowledge must need tobe preserved so that it can help in the other phases of product lifecycle such as repair overhaulreuse recycle and or disposal of the product Increasing number of enterprise informationsystems stakeholders and product related information demand the need for a managementapproach which makes the managers capable of managing all the dispersed product informationat one common repository for reuse

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Shikha SinghDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India

Subhas Chandra MisraDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India

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The automation of the technological processesin the Manufacturing Internet of Things contextfor the pharmaceutical enterprises2018 IEEE 9th International Conference onDependable Systems Services andTechnologies (DESSERT)Published 2018

Integration of ERP and Internet of Things inIntelligent Enterprise Management2018 1st International Cognitive CitiesConference (IC3)Published 2018

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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

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Conferences gt 2018 5th International Confer

3 Author(s) Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong View All Authors

Innovative product development of fabric glass interlayer

39FullText Views

Abstract

Document Sections

I Introduction

II Methodology

III Conclusion

Authors

Figures

References

Keywords

MetricsPublished in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

References

Keywords

Metrics

AbstractA glass manufacturer in Thailand developed the laminated fabric glass as innovative product in 2013but sales had declined in 2016 Customers survey shows that the satisfaction level decreased due tolong production lead time high-selling price and long installation time This paper aims to develop anew innovative fabric glass interlayer product by adopting 5D innovation development process 5Dconsists of Discover Define Design Develop and Deploy Firstly discover phase adopted Five ForcesAnalysis Customer Behavior Analysis and Customers Satisfaction Survey for specifying marketposition and seeking the hidden customers expectations Define is to summarize the project charteras initiation step in the project management and to scope resources and timeframe Design weadopted the integration of QFD Kano Model and Product Quality Index for prioritizing and translatingcustomer expectations to product specifications Then all concepts were concluded by Pugh MatrixWeighted Sum Score and confirmed the selected concept by financial feasibility study Developprocess is to prototyping to verify the production before scale up Finally generated the riskassessment plan by FMEA and contributed the business plan to ensure the effectivecommercialization in Deploy The developed fabric glass interlayer shows higher customer satisfactionlevel by shorten production lead time from 14 days to 8 days (4285) lower price from 790 bahtft to 485 bahtft (3861) and shorten installation time from 180 minutes to 45 minutes (75)

2

2

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844226

DOI 101109IEA20188387141

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionThe case company is one of the glass manufacturers in Thailand who process the fundamentalfunctional building glass tempered and laminated glass for the architectural construction andinterior decoration The companys vision was stated to be the leader of glass innovation within2022 To be the leader of the glass innovation case company should focus on the continuousinnovative product development The mainly innovative product that had been sold for manyyears was the fabric glass as 52 52 and 47 in 2015 2016 and 2017 respectively

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Ploynaplus ThanasirithamDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

Natcha ThawesaengskulthaiDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

Prasert AkkharaprathomphongDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

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Study of a Customer Satisfaction-OrientedModel for Outsourcing Software QualityManagement Using Quality FunctionDeployment (QFD)2008 4th International Conference on WirelessCommunications Networking and MobileComputingPublished 2008

Fuzzy Eco-Design Product Development byUsing Quality Function Deployment2005 4th International Symposium onEnvironmentally Conscious Design and InverseManufacturingPublished 2005

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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

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Conferences gt 2018 5th International Confer

2 Author(s) Jingying Huang Liya Wang View All Authors

Makespan minimization on single batch-processing machine consideringpreventive maintenance

37FullText Views

Abstract

Document Sections

I Introduction

II Problem Description

III Batching Rule

IV Improved Heuristics

V ComputationalResults andDiscussions

Show Full Outline

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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

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Metrics

AbstractThis paper considers the problem of minimizing makespan on a single batch-processing machineconsidering preventive maintenance A mathematical model for integrating flexible preventivemaintenance into the batch-processing machine scheduling is proposed A two-stage method isproposed to solve the problem A batching rule considering maintenance is proposed to group jobsinto batches firstly And then we improve existing heuristics to schedule production and maintenanceComputational results indicate that the two-stage method based on proposed batching rule andimproved heuristics is effective

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844275

DOI 101109IEA20188387113

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionBPM (Batch processing machine) problem has attracted many researchers in recent years BPMis able to process a group of jobs as long as the number of jobs in the batch is less than or equalto the capacity of the machine To minimize total flow time Rui Xu [1] proposed an ant colonyalgorithm combined with the candidate list NR Parsa [2] proposed an algorithm using a hybridmax-min ant system AH Kashan [3] proposed a batch based hybrid genetic algorithm thatgenerates random batches of jobs and ensures feasibility To minimize total earliness andtardiness of the jobs NR Parsa [4] proposed a dynamic programming algorithm and severalheuristics BPM problem is practically applied in many manufacturing industries One of them issemiconductor wafer manufacturing industry BPM problem is applied in the furnace area in themanufacturing process of semiconductor wafers The machine is only shared by jobs requiringthe particular processing operation [5] That is in reality only semiconductor wafers with thesame kind of process can be grouped into a batch However the papers above did not take thisconstraint into consideration They assumed the jobs with different processing time can begrouped into the same batches Also the above papers did not consider about maintenancewhen grouping and scheduling jobs

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Jingying HuangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina

Liya WangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina

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ACO-based Parallel Machine SchedulingConsidering Both Setup Time and Run-basedPreventive Maintenance with ReliabilityConstraints2018 IEEE International Conference onIndustrial Engineering and EngineeringManagement (IEEM)Published 2018

MSPT2 Heuristic and Dynamic ProgrammingMethod for the Parallel Machine SchedulingProblem with scheduled PreventiveMaintenance2006 International Conference on ServiceSystems and Service ManagementPublished 2006

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About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|

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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance

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KEYNOTE AND INVITE SPEAKERS

Keynote Speech

Keynote Speech ndashI

Abstract of speech

Many products are designed to last longer than

the typical lifespan of human being Its thus a

challenge to validate the design life through

reliability tests even when testing is conducted

under much harsher environment Not only that

test duration is usually constrained but the

samples available for testing may also be costly

andor limited in quantity Statistically optimal

plans will allow for efficient use of testing

resources and yet derive the most information

from the test In this presentation we shall

discuss ideas related to designing test plans for

both constant stress and step stress ALT leading

to the statistical optimal plan for sequential ALT

While that of constant ALT is basically a Bayesian

approach that for the step stress ALT requires

solving a dynamic program using backward

induction For the latter optimal solutions are

only available for exponential lifetime and there

are rooms for further research

Loon Ching TANG

BIO Dr Loon Ching TANG is currently the Director of

Temasek Defence Systems Institute and Professor of

Department of Industrial Systems Engineering and

Management at the National University of Singapore

He obtained his PhD degree from Cornell University in

the field of Operations Research in 1992 and has

published extensively in areas related to industrial

engineering and operations research He has been

presented with a number of best paper awards

including the IIE Transactions 2010 Best Application

Paper Award and 2012 RA EvansPK McElroy Award

for the best paper at Annual RAMS Prof Tang is the

main author of the award-winning book Six Sigma

Advanced Tools for Black Belts and Master Black Belts

Besides being active in the forefront of academic

research in the last 25 years Prof Tang has served as

consultant for many organizations such as the

Ministry of Home Affair Singapore Power Republic of

Singapore Air Force Seagate HP Phillips etc on a

wide range of projects aiming at improving

organizational and operations efficiency especially

through better management of engineering assets He

is currently a fellow of ISEAM the Editor of Quality amp

Reliability Engineering International and an editorial

review board member of the flagship journal of ASQ

Journal of Quality Technology (since 2006) He has

served as the Region VP (Asia) of IIE (2013-16) and a

member of the advisory board of the Singapore

Innovation and Productivity Institute

Apr 26(Thu) 2018 1305-1350

Auditorium Room

ldquoPlanning Sequential Accelerated Life Testingrdquo

Prof Loon Ching TANG

National University of Singapore Singapore

Lenovo
Highlight

Keynote Speech ndashII

George ZHANG

BIO Professor Zhe George Zhang is a professor of

Management Science in the Department of Decision

Sciences at Western Washington University and a

professor of Operations Management in Beedie

School of Business at Simon Fraser University He is

also visiting professor of Sauder School of Business

at the University of British Columbia Dr Zhang

received his BS in Computer Science and MA in

Economics from Nankai University China his MBA

from the Schulich School of Business at York

University and his PhD in Operations research from

the University of Waterloo Professor Zhang has

published many papers in prestigious journals such

as Management Science Operations Research

Manufacturing amp Service Operations Management

Production and Operations Management IIE

Transactions IEEE Transactions Queueing Systems

Journal of Applied Probability Co-authored with

Professor Tian in 2006 he published the research

monograph Vacation Queueing Models - Theory

and Applications the first book on this particular

topic (now highly cited) Professor Zhangs research

interests include queueing theory and applications

and stochastic models for manufacturing and

service systems The main theme of his research is

to bridge the gap between theory and application

obtaining unobservable and sometimes

counter-intuitive but significantpractical

management insights via modeling and quantitative

analysis Currently he is particularly interested in

the quantitative and economic analysis of the

congestion problems in urbanmass transportation

networks healthmedical care systems and public

service systems with both customer service quality

and security concerns As an expert in data analysis

and quantitative modeling he has consulted in

industry and has given research seminars and short

lectures at leading universities around the world He

was invited to present plenary or keynote talks in

several international conferences Professor Zhang

is the one of Editor-in-Chiefs for new journal

Queueing Models and Service Management aan

associate editor of INFOR (Information Systems and

Operations Research) and is on the editorial board

of several international journals in Operations

Research and Management Science

Apr 26(Thu) 2018 1350-1435

Auditorium Room

ldquordquo

Prof George ZHANG

Western Washington University USA

Lenovo
Highlight

Keynote Speech ndashIII

Abstract of speech

The purpose of this paper is to investigate the

generalized age maintenance policies for a system

with random working times When the system fails

it is subject to one of two types of failures with

age-dependent probability type I failure can be

removed by minimal repair and type II failure must

be rectified by replacementA First the system is

preventively replaced before type II failure at time T

or at the completion of Nth working projects

whichever occurs first Two modified models where

the system is preventively replaced before type II

failure at time T or at the completion of Nth

working projects whichever occurs last and it is

preventively replaced at the first completion of the

working project over time T or at the completion of

Nth working projects whichever occurs first are

considered By introducing costs due to repairs

maintenance and replacement the expected cost

per unit time is derived as a criterion of optimality

and the optimal policy that minimizes that cost is

discussed analytically

Shey-Huei SHEU

BIO Professor Shey-Huei Sheu is a Chair Professor

of Department of Statistics and Informatics Science

at the Providence University He is an Honorary

Chair Professor of the Department of Industrial

Management at the National Taiwan University of

Science and Technology He received his MS

degree (1979) in applied mathematics from the

National Tsing Hua University and his PhD degree

(1987) in statistics from the University of Kentucky

He has published in journals such as Naval Research

Logistics Journal of Applied Probability RAIRO

Operations Research Microelectronics and

Reliability Reliability Engineering and System Safety

International Journal of Systems Science Quality

and Reliability Engineering International

International Journal of Reliability Quality and

Safety Engineering Journal of the Operational

Research Society European Journal of the

Operational Research Computers and Operation

Research Computers and Industrial Engineering

Quality Engineering Asia-Pacific Journal of the

Operational Research Communications in

Statistics-Theory and Methods Computers and

Mathematics with Applications Simulation

Modeling Practice and Theory Communications in

Statistics-Simulation and Computation Journal of

Statistical Computation and Simulation

International Journal of Production Economics

Quality Technology and Quantitative Management

The International Journal of Advanced

Manufacturing Technology Expert Systems

International Journal of Computer Mathematics

Journal of Applied Statistics Production Planning

and Control International Journal of Production

Research Applied Mathematical Modelling IEEE

Transactions on Reliability and Annals of

Operations Research

Apr 26(Thu) 2018 1435-1520

Auditorium Room

ldquoThe Generalized Age Maintenance Policies with

Random Working Timesrdquo

Prof Shey-Huei SHEU

Providence University Taiwan

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Highlight

Keynote Speech ndashIV

Abstract of speech

IEEE 80211ah a specification belonging to 80211

wireless local area network (WLAN) protocol family

has been recently released to support the

long-range low-power and low-rate wireless

communication among smart devices used in

Internet of Thing (IoT) systems However security

requirements of the energy-constrained devices

have plenty of issues different from the traditional

wireless devices It requires that the lightweight

security protocols have to support low-power and

low-latency as well as the long-lasting features of

quantities of IoT devices The recently released IEEE

statndard IEEE 80211ai has specified a Fast Initial

Link Setup (FILS) which is a brand-new approach

aiming at establishing fast stable and secure links

among smart devices IEEE 80211ai could be applied

to other wireless systems such as the wireless

system of IEEE 80211ah with security

enhancements In this talk I would address the

secureity issues of IEEE 80211ai and IEEE 80211ah

with an new proposal to enhance the

authentication process in the link setup procedure

specified by IEEE 80211ai

Maode MA

BIO Dr Maode Ma is a Fellow of IET He received his

PhD degree in computer science from Hong Kong

University of Science and Technology in 1999 Now

Dr Ma is an Associate Professor in the School of

Electrical and Electronic Engineering at Nanyang

Technological University in Singapore He has

extensive research interests including network

security and wireless networking Dr Ma has about

350 international academic publications including

over 160 journal papers and about 190 conference

papers He has delivered over 50 keynote speeches

at various international conferences He has served

as various chairs for over 100 international

conferences He currently serves as the

Editor-in-Chief of International Journal of Computer

and Communication Engineering and International

Journal of Electronic Transport He also serves as a

Senior Editor or an Associate Editor for other 4

international academic journals Dr Ma is a Senior

Member of IEEE Communication Society and IEEE

Education Society and a Member of ACM He is the

Chair of the IEEE Education Society Singapore

Chapter and the Chair of the ACM Singapore

Chapter He has served as an IEEE Communication

Society Distinguished Lecturer from 2013-2016

Apr 26(Thu) 2018 1530-1615

Auditorium Room

ldquoEfficient and Secure Authentication Schemes for

IEEE 80211ah Networks rdquo

Prof Maode MA

Nanyang Technological University Singapore

Lenovo
Highlight

Keynote Speech ndashV

Abstract of speech

Stochastic aircraft routing (SAR) plays a critical role

in defining the routing plans of airlines which

include assigning the aircraft to flight legs and

determining the time and location of maintenance

to the aircraft Based on the routing plan specified

by the airlines the maintenance providers should

schedule their workforce to perform maintenance

operations by solving the maintenance staffing

problem (MSP) MSP helps maintenance providers

to build their staffing plans which include the

assignment of manpower to each aircraft so that

aircraft receive the required maintenance

operations as planned Practically for airlines the

routing plan will be interrupted (eg flight delays) if

an aircraft cannot be released from the

maintenance station punctually Similarly for

maintenance providers if an aircraft misses the

scheduled appointment at the maintenance station

this will also cause a huge interruption to their

staffing plan Therefore there is an interrelationship

between SAR and MSP In the literature the focus

of each problem has been traditionally considered

separately with only limited consideration of their

interrelationship In this paper we study SAR along

with MSP with the objective of investigating the

interrelationship between SAR and MSP For this

purpose we propose a coordinated configuration

of SAR and MSP that is formulated as a

leader-follower Stackelbery game in which SAR

acts as a leader and MSP acts as a follower This

game is enacted through a bi-level optimization

model which is solved by a bi-level nested ant

colony optimization (ACO) algorithm A case study

of a major airline and maintenance provider located

in the Middle East is presented to demonstrate the

feasibility and potential of the proposed model The

results demonstrate significant saving in the costs

of both companies

Felix TS CHAN

BIO Professor Felix T S Chan received his BSc

Degree in Mechanical Engineering from Brighton

Polytechnic (now University) UK and obtained his

MSc and PhD in Manufacturing Engineering from

the Imperial College of Science and Technology

University of London UK Professor Chan is now

working at the Department of Industrial and

Systems Engineering The Hong Kong Polytechnic

University and also serving as Associate Dean

(Research) at the Faculty of Engineering His current

research interests are Logistics and Supply Chain

Management Operations Management

Distribution Coordination Systems Modelling and

Simulation AI Optimisation To date he has

published 16 book chapters over 300 refereed

international journal papers and 250 peer reviewed

international conference papers h index= 30 under

the Web of Science He is a chartered member of

the Chartered Institute of Logistics and Transport in

Hong Kong According to a study lately published in

the International Journal of Production Research

(httpdxdoiorg1010800020754320151037935)

the study measured the research contributions over

a 26-year time frame (1985-2010) of academic

institutions and individual authors to the field of

Apr 26(Thu) 2018 1615-1700

Auditorium Room

ldquoInvestigating the Interrelationship between

Stochastic Aircraft Routing of Airlines and

Maintenance Staffing of Maintenance Providersrdquo

Prof Felix TS CHAN

The Hong Kong Polytechnic University Hong Kong

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Highlight

Operations Management (OM) based on published

articles in 11 top-rated and well-known academic OM

journals Professor Chan was among the top 50

prolific authors list who have made the greatest

overall contribution to the field as measured by the

number of distributed and shared articles published

in the 11 designated journals Also Professor Chan

was Ranked No 3 in The top 100 authors as the

most productive researchers in the field of

Operations Management over the past 10 years

(2001-2010)

COMMITTEE

ICIEA 2018 Organizing Committee

International Advisory Committee

Zhe George Zhang Western Washington University USA

Conference Chairs

Felix T S Chan The Hong Kong Polytechnic University Hong Kong

Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan

Local Organizing Chair

TANG Loon Ching National University of Singapore Singapore

Organizing and Program Committees

Seoung Bum Kim School of Industrial Mangement Engineering Korea University

Usik Lee Inha University Korea

Maode Ma Nanyang Technological University Singapore

Finance Chair

Minghan Xi Dalian Maritime University China

International Technical Committees

Cheng-Feng HuNational Chiayi University Taiwan

Dong-Yuh YangNational Taipei University of Business Taiwan

Mario HirzGraz University of Technology Austria

Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt

Po-Hsiang Liu College of Business and Management in St Johns University USA

Taesu Cheong Korea University Korea

Tien-Lun Liu Chung Yuan Christian University Taiwan

Wei CaiWuhan University of Technology China

Jinguo Huang Huazhong University of Science and Technology China

Yu-Chung Tsao National Taiwan University of Science Technology Taiwan

Yip Mum WaiTunku Abdul Rahman University College Malaysia

Pule Kholopane University of Johannesburg South Africa

Bonivasius Prasetya Ichtiarto mercu buana university Indonesia

Elita Amrina Andalas University Indonesia

Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan

Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong

Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia

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Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India

Byung Do Chung Yonsei University Korea

M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia

Sandeep Singhal National Institute of Technology India

J W Wang The University of Hong Kong Hong Kong

Ching-Chang Kuo National Taichung University of Science and Technology Taiwan

Kuo-Hsiung Wang Providence University Taiwan

ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia

Sangbok Lee Hansung University Korea

Adrian E Coronado Mondragon Royal Holloway University of London UK

Chin-I Lee Ling Tung University Taiwan

S H ChoiUniversity of Hong Kong Hong Kong

Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan

Wei Cai Wuhan University of Technology China

Hashibah Hamid Universiti Utara Malaysia Malaysia

TMA Ari Samadhi Bandung Institute of Technology Indonesia

Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia

Pi-Chun Hsu Chaoyang University of Technology Taiwan

Mu-Chen Chen National Chiao Tung University Taiwan

Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan

Tsu-Wei Yu Chaoyang University of Technology Taiwan

Lingyun Wei Beijing University of Posts and Telecommunications China

Hamdi Bashir University of sharjahUnited Arab Emirates

LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand

LIU Hai-peng Kunming University of Science and Technology China

Elfira Febriani Trisakti University Indonesia

Yu-Hsiang Hsiao National Taipei University Taiwan

Chien-Chih Wang Ming Chi University of Technology Taiwan

Atichart Harncharnchai Chiang Mai University Thailand

Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)

Switzerland

Bambang Suhardi Universitas Sebelas Maret Indonesia

Ssu Han Chen Ming Chi University of Technology Taiwan

Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia

Augustina Asih Rumanti Bandung Institute of Technology Indonesia

Maheshwar Dwivedy BML Munjal University India

Zhichuan Guan China university of petroleum (East China) China

Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia

Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia

Yenming J Chen National Kaohsiung University of Science and Technology Taiwan

Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia

TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand

Li Li Nanjing University of Science and Technology China

SERTIFIKAT

Page 13: Nilai Maksimal Prosiding - eprints.undip.ac.ideprints.undip.ac.id/70482/1/...of_GSCM_practice_peer_review_lengkap.pdf · discriminant function as Z= (0.238-IeM) + (0.602-GPU) + (1.161-CCO)

iv

Global Manufacturing and Engineering Economics

Optimal Manufacturing Outsourcing Decision Based on the Degree of Manufacturing Process

Standardization49

PingYu Chang Thi Thanh Nhan Phan

A Functional Design of a Cost Benefit Analysis Methodology for Transport Infrastructure Projects54

Tiep Nguyen Stephen Cook Indra Gunawan

Demand Management Practices in the Manufacturing Industry An Empirical South African Perspective 60

Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa

Healthcare Systems and Management

A Study on Healthcare-product Supply Chain with a Group Purchasing Organization67

Yin Han Lingyun Wei

A Study on Shortage of Hospital Beds in the Philippines Using System Dynamics 72

Josephine D German John Karlo P Mintildea Claudine Mae N Alfonso Kang-Hung Yang

Research on Health Monitoring Mechanism Based on Service Invocation79

Xuan Mei Xinming Tan

Business Process Reengineering for the Saline Management in Hospitals84

Sith Vilasdechanon Apichat Sopadang

The Acceptance Model of Hospital Information Systems in Thailand A Conceptual Framework Extending

TAM89

Paneepan Sombat Wornchanok Chaiyasoonthorn Singha Chaveesuk

Human Factors

An Experimental Study to Investigate Personality Traits on Pair Programming Efficiency in Extreme

Programming 95

Ramlall Poonam Chuttur M Yasser

Intention of Opening Up the Network of Personal Data 100

Mao-Sung Chen Tung-Kuan Liu Ming-Tien Tsai

The Differences of Individual Spatial Strategy on Their Solving Performance 105

Sakulporn Pornpanom Arisara Jiamsanguanwong

v

Understanding the Model of User Satisfaction in Using Cloud Storage Systems of Employees in Thailand A

Conceptual Framework 110

Kulapa Najantong Singha Chaveesuk Wornchanok Chaiyasoonthorn

Evaluating Variables That Affect Job Satisfaction of Bank Customer Contact Centre Agents in South Africa

116

Eveth Nwobodo-Anyadiegwu Charles Mbohwa Nokukhanya Ndlovu

Information Processing and Engineering

Real-time Localization and Navigation in an Indoor Environment Using Monocular Camera for Visually

Impaired 122

Kruthika Ramesh Nagananda S N Hariharan Ramasangu Rohini Deshpande

Experiment and Optimization of Magnetostrictive for Long Time Operation to Find Amplitude of Vibration

and Thermal Limit 129

Nuttakorn Pukseesang Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa

Some Methods for Measuring the Efficiency of Firms Utilizing Different Technologies 134

Soobin Choi Jaedong Kim Hanjun Lee

Core Challenges to Cloud PLM Adoption in Large Manufacturing Firms 141

Shikha Singh Subhas Chandra Misra

Intelligent Systems

Visual and Hearing Detection Capabilities to Discriminate whether a UAV Invade a Campus Airspace 146

S J Chang K W Li

Reflections on Facilitating the Development of ldquoInternet Plusrdquo Intelligent Manufacturing in China 150

Yong Tao Gang Zhao Qiushi Li Wen Zhao

A Study of Small Complicated Axisymmetric Parts Manufacturing in Industry 40 158

Chengcheng Zhu Shengdun Zhao Shuaipeng Li

Voltage Stability in DC Micro Grid by Controlling Two Battery Units with Hybrid Network Systems 163

Adhi Kusmantoro Ardyono Priyadi Mauridhi Hery Purnomo

Design and Implementation of IoT Based Smart Laboratory 169

M Poongothai P Muthu Subramanian A Rajeswari

vi

Analysis of Microwave Precipitation in the Topographic Barrier for the Lifting Condensation Level of Clouds

Formation 174

Supawat Kotchapradit Thanaset Thosdeekoraphat Samran Santalunai Chanchai Thongsopa

Improved Efficiency of Insect Pest Control System by SSPA 179

Phanupong Saeung Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa

Manufacturing Systems

Optimized Information Exchange Process between CAD and CAMmdashEnhanced Data Exchange in the Field of

Joining Technology from the Viewpoint of an Automotive Supplier 184

Alexander Kreis Mario Hirz Severin Stadler

Efficiency Improvement of Door Frame Manufacturing Process in Wood Product Manufacturing Industry

189

Lerdlekha Sriratana

The Structural Design of 3D Print Head and Execution of Printing via the Robotic Arm ABB IRB 140 194

Martin Pollaacutek Jozef Toumlroumlk Jozef Zajac Marek Kočiško Monika Teliškovaacute

Micro-fabrication Method of Au Micro-wire Structures on Substrate by Chemical Printing and Peeling Process

199

Potejana Potejanasak

Evaluation of Thermal Comfort Room Garment Workshop in Textile Vocational School 203

Anastasia Febiyani Bambang Suhardi Eko Pujiyanto

Modular Measuring System for the Force Distribution in Forming Processes 208

W Zorn L Hamm R Elsner W G Drossel

Gravity Filling System of Slurry for Rod Mill Sand with High Concentration and Research on Technical

Transformation in Jinchuan Mine 214

Li Li-Tao Yang Zhi-Qiang Gao Qian Wang Yong-Ding

Defect Reduction in the Board Front Door Trim Manufacturing Process 220

Punyisa Kuendee

Operations Research

Integrated Railway Timetable Scheduling Optimization Model and Rescheduling Recovery Optimization

Model A Systematic Literature Review 226

Erlangga Bayu Setyawan Dida Diah Damayanti

vii

A Comparative Analysis about the Balance Design of the Assembly Line by Branching amp Bound Method and

Lingo Method 231

Jia Shuyuan Huang Li Li Qin Gu Yonghu

The Optimal Routes and Modes Selection in Multimodal Transportation Networks Based on Improved A

Algorithm 236

Yan Liu Lingyun Wei

Industrial Cluster Optimization Based on Linear Programming 241

Roberto Montemanni Jafar Jamal

Multi-objective Joint Optimization of Batch-discrete Hybrid Flow Shop Scheduling Integrated with Machine

Maintenance 247

Yangyang Fei Huimin Ma

Investigating the Interrelationship between Stochastic Aircraft Routing of Airlines and Maintenance Staffing

of Maintenance Providers 254

Felix T S Chan Abdelrahman E E Eltoukhy

An Modified Relax-and-fix Algorithm for the Multi-level Lot-sizing Problem with Replaceablility 262

Mingyuan Wei Yifei Yuan Canrong Zhang

Height-Based Heuristics for Relocating Containers during Loading Operations 268

Yifei Yuan Canrong Zhang Ting Huang

A Record-to-Record Travel Algorithm for Multi-product and Multi-period Inventory Routing Problem 274

Fadillah Ramadhan Arif Imran Afrin Fauzya Rizana

Developing Tabu Search with Intensification and Diversification for the Seriation Problem 279

Pimprapai Thainiam

A Comparative Study of Mixed-Integer Linear Programming and Genetic Algorithms for Solving Binary

Problems 284

Punyisa Kuendee Udom Janjarassuk

Production Planning and Control

Concurrent Optimization of Job Shop Scheduling and Dynamic and Flexible Facility Layout Planning 289

Ryota Kamoshida

Makespan Minimization on Single Batch-processing Machine Considering Preventive Maintenance 294

Jingying Huang Liya Wang

viii

Customer Kansei-Oriented Restaurant Location Evaluation Using Kansei Engineering 299

Yu-Hsiang Hsiao Guan-Ting Chen

An Improvement Scheme for the Overall Line Effectiveness of a Production Line A Case Study 304

Jieli Li Yuhui Jia Binbin Xu Fei Chen Zhaojun Yang Xiaodong Li

An Adjustment Method for Material Inventory Control Decision Considered in Product Life Cycle 310

Jiun-Shiung Lin Jen-Huei Chang i-Yan Yang

Application of a Hidden Markov Model for Consistency Checking of Process Plant Facility Tag NumbersmdashA

Case Study 314

Jayaram Sivaramakrishnan Gareth Lee

Analyzing Circadian Rhythms for Breaktime Schedulling on Night Shift Work 321

Lovely Lady Ansor Firdaus

Resource-Reconfigured Flow Shop Scheduling and Lot-Sizing Problems in Semiconductor Test 326

Yige Zhang Yuangen Lu Cangrong Zhang

Process Flow Improvement in Production of Noise Filter Products through Lean Manufacturing Technique

333

Rattarak Moonpragarn Rungchat Chompu-inwai

Waste Reduction in the Shoe Sewing Factory 340

Pongpat Phetrungrueng

The Joint Replenishment Problem with Resource Restriction A Note 345

M I M Wahab Y Chen

Aggregate Planning in Canned Pineapple Production Lines 349

Datepard Charoenponyarrat Tuanjai Somboonwiwat

Applications of Data Mining

A Research Study on Unsupervised Machine Learning Algorithms for Early Fault Detection in Predictive

Maintenance 355

Nagdev Amruthnath Tarun Gupta

The Analysis of Matching Learners in Pair Programming Using K-Means 362

Naladtaporn Aottiwerch Urachart Kokaew

Machine Learning Based Approach for Demand Forecasting Anti-aircraft Missiles 367

Jaedong Kim Hanjun Lee Soobin Choi

ix

Quality Control and product lifecycle Management

Simultaneous Prediction Interval-Based Multiobjective Solution Approach for Multiple Quality Characteristics

Optimization 373

Abhinav Kumar Sharma Indrajit Mukherjee

The TQM Integration in Procurement Function Performance 378

Bisalyaputra K

Safety Analysis at Weaving Department of PT X Bogor Using Failure Mode and Effect Analysis (FMEA) and

Fault Tree Analysis (FTA) 382

Prima Fithri Nidi Annisa Riva Lusi Susanti Berry Yuliandra

Success Determinants to Product Lifecycle Management (PLM) Performance 386

Shikha Singh Subhas Chandra Misra

Company Performance Measurement for Automobile Companies a Composite Indicator from an

Environmental Perspective 391

Qinqin Zeng Wouter W A Beelaerts van Blokland Sicco C Santema Gabriel Lodewijks

Loss Time Reduction for Improve Overall Equipment Effectiveness (OEE) 396

Kamolchanok Krachangchan Natcha Thawesaengskulthai

Service Innovation and Management

Estimating Diffusion of Technology Using User Perceptual Values A Conceptual Model 401

Chaudry Bilal Ahmad Khan

Implementation of Innovative Digitalization Methods in Reverse Engineering 406

Monika Teliškovaacute Martin Pollaacutek Jozef Toumlroumlk Jakub Kaščaacutek Petr Baron Viktoria Mezencevova

Topological Evolution of Public Transportation Network A Case Study of Bangkok Rail Transit Network 410

Pijaya Na Bangxang Pisit Jarumaneeroj

A Design of Automated Parking System for Shopping Centers in Metro Manila 415

Ma Janice J Gumasing Charles Aaron V Atienza

Design of an Ergonomic Classroom Chair and Desk for Preschool Students of Selected Public Schools in

Cabuyao City Laguna 420

Ezrha C Godilano Mark Kevin G Galang Hazel Elaine O Ramilo Kristian Roi F Velayo

Design of an Ergonomic Wheelbarrow to Reduce Physiological Demands of General Users 424

Ezrha C Godilano Karl Vincent Casas Aubrey Justine Vargas

x

Ergonomic Intervention Addressing Musculoskeletal Disorders among Poultry Layer Workers 429

Ma Janice J Gumasing Rex Aurelius C Robielos

Wristwatch Development Based on Kansei Engineering 435

Imam Djati Widodo Heavy Zerry Novibrilliawan

Innovative Product Development of Fabric Glass Interlayer 440

Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong

Systems Modeling and Simulation

A Simulation Study of Multi-dimensional Clearing Function Considering Degradation for Semiconductor

Manufacturing 448

Jianqiu Huang Jingying Huang Liya Wang

Productivity Improvement of Tapioca Packing Process through Simulation Modeling Analysis 453

Nara Samattapapong

Modelling the Barriers for Mass Adoption of Electric Vehicles in Indian Automotive Sector An Interpretive

Structural Modeling (ISM) Approach 458

Surya Prakash Sameer Sharma Poudel Maheshwar Dwivedy Dilesh Raj Shrestha

Diagnostics of the Wire Coating Production Line by Implementation of Computation Methods 463

Ivan Kuric Miroslav Cisar Ivan Zajacko Tomas Gal

District Model with Two Types of Vehicles for Transporting Sugarcane 468

Rujirat Patcharamethanon Kanchala Sudtachat

Experiment of Induction Heating Application for Heating Multilayer Metallic Hollow Altered Cylinder 475

Jakkarin Srituvanont Thanaset Thosdeekoraphat Chanchai Thongsopa Samran Santalunai

A Framework for Analyzing and Developing Dashboard Templates for Small and Medium Enterprises 479

Wasinee Noonpakdee Thitiporn Khunkornsiri Acharaphun Phothichai Kriangsak Danaisawat

An Economic Order Quantity Model with Continous Quantity Discount and Probabilistic Demand 484

Ardian Rizaldi Ashaeurizky Dilianaputri Fitri A Anugrah Riska Ummaya Senator Nur Bahagia

Technology and Knowledge Management

Analyzing Interdependencies in a Project Portfolio Using Social Network Analysis Metrics 490

Helal Al Zaabi Hamdi Bashir

Sentiment Analysis of Twitter Corpus Related to Artificial Intelligence Assistants 495

Chae Won Park Dae Ryong Seo

xi

Artificial Neural Neural Network Approach for Technology Life Cyle Construction on Patent Data 499

Muhammad Hanif Ramadhan Vialli Ibrahim Malik Teddy Sjafrizal

A Systematic Literature Review on Knowledge Sharing for Innovation Empirical Study Approach 504

Augustina Asih Rumanti T M A Ari Samadhi Iwan Inrawan Wiratmadja Indryati Sunaryo

Belief Representation of Design Mental Model Based on Design Rationale 510

Chen Ying Jing Shikai Wang Yedong Cheng Dada

Study on Teaching Methods of Fundamental Electrical Courses in Engineering Education 515

Jianpei Chen Fei Gao Lingling Kong Lin Cui

Supply Chain Management

Supply Chain Model for Renewable Energy Resource from Biomass in Vietnam 520

Duy Nguyen Duc Narameth Nananukul

Exploring the Implementation of Green Supply Chain with Cluster and Discriminant AnalysismdashCase Study

Furniture Industry at Central Java Semarang 526

Aries Susanty Diana Puspita Sari

Systematic Literature Review and Improved Model for Mitigating Bullwhip Effect in Low Shelf Life Food

Supply Chain 531

Nia Novitasari Dida Diah Damayanti

Supply Chain Management Performance and Partial Least Square-Structural Equation Model An application

to Thai Tourism Supply Chain 536

Daraka Palang Korrakot Yaibuathet Tippayawong

An Economic Competitiveness Analysis of Power Generation Plants 543

Ndala Yves Mulongo Pule Kholopane

Supplier Selection Considering Sustainablitity Criteria by Using A Hybrid Evaluation Method in Printing

Business 548

Onsiree Mananawigapol Chorkaew Jaturanonda Tuanjai Somboonwiwat

Barriers and Drivers of eBIZ Adoption in the Fashion Supply Chain Preliminary Results 555

Bianca Bindi Virginia Fani Romeo Bandinelli Gilda Massa Gessica Ciaccio Arianna Brutti Piero De

Sabbata

A Simulation Analysis on Regional Logistics Development Based on System Dynamics The Case of Yunnan

Province 560

Yinyuan Si Wensheng Yang Huini Zhou

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Highlight

xii

A Sustainability Assessment of Electricity Supply Systems 565

Ndala Yves Mulongo Pule Kholopane

Author Index

1040-1210 Friday 27 Apr

Session B-2 Supply Chain Management Venue Lemongrass Room

Chair

N066

Time 1040-1055

A study on Healthcare-product Supply Chain with a group purchasing organization Ms Yin Han Lingyun Wei Beijing University of posts and telecommunications Beijing China

In order to better understand the impact of group purchasing organization (GPO) on healthcare-product supply chain we build a supply chain model consisting of one manufacturer one competitive source one group purchasing organization(GPO) and n healthcare providers for a single product Providers may purchase from any source for minimizing their total costs Through considering different providersrsquo demands power schemes and revenue sharing between GPO and providers we analyze the performance of supply chain and its members under various situations Numerical examples show some interesting findings (1) When GPO dominates the supply chain GPO can obtain more profits (2)When manufacturer dominates the supply chain and GPO shares its revenue with providers there exists specific revenue sharing rates which increase GPOrsquos profits and reduce providersrsquo cost (3) Manufacturer always can achieve a same optimal profit by changing quantity discount rate when GPO dominates supply chain and shares its revenue with providers

N108

Time 1055-1110

Exploring the Implementation of Green Supply Chain with Cluster and Discriminant Analysis Case Study Furniture Industry at Central Java Semarang Dr Aries Susanty Diana Puspitasari Diponegoro Univeristy Indonesia This study has two objectives First this study aims to categorize the level of the implementation of Green Supply Chain Management (GSCM) practice among Small and Medium Enterprises (SMEs) of wooden furniture in several clusters Second this study aims to find the linear combination of five dimensions of GSCM practices that will discriminate best between prior defined clusters The study used primary data through questionnaires enclosed with the Likert scale 1-5 at 162 SMEs of wooden furniture located in Surakarta Jepara Semarang and Kudus The raw data level of implementation of five dimensions of GSCM practice is analyzed using K-Means cluster and discriminant analysis with the aid of the Statistical Package for the Social Sciences (SPSS) software The result of K-Means cluster analysis indicated that a two-cluster is the optimal number of a group for separating the data of the level of implementation of GSSM practice among SMEs of wooden furniture and the two clusters founded in this research are labeled as early adopter and laggards Then the result of the discriminant analysis indicated that as high as 9877 of the SMEs of wooden furniture was classified correctly The result of discriminant analysis also revealed the discriminant function as Z= (0238IEM) + (0602GPU) + (1161CCO) + (1128ECO) + (1126IRE) - 13124 and the threshold for evaluating a discriminant score of

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Conferences gt 2018 5th International Confer

3 Author(s) Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa View All Authors

Demand management practices in the manufacturing industry An empiricalSouth African perspective

38FullText Views

Abstract

Document Sections

I Introduction

II Literature Review

III Methodology

IV Resultsampinterpretations

V Conclusion

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Figures

References

Keywords

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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

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AbstractThis paper aims to identify and explore Demand Management (DM) practices used within the SouthAfrican Manufacturing industry The study followed a qualitative design approach in order to identifythe relationship between DM methods such as forecasting and the best practices used by therespondents Therefore a purposive sampling technique was used whereby a questionnaire was sentout via email to 15 manufacturing companies before meeting them for a face to face interviewconducted in two weeks Respondents varied from different industries such as automotive wood andpaper chemical food and beverage etc The results demonstrated that although the respondents areaware of the best practices for a good DM system they generally do not apply them entirely becauseof factors like fear of implementing change and failure to quickly adapt themselves to the change thatwould come with those best practices In addition the results also revealed that forecasting is themost used DM method by the respondents and a simple forecasting average is used to predict futuredemand Depending on the company the forecast is done either by a team or by functional areas

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844216

DOI 101109IEA20188387071

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionThe importance of satisfying the customer by meeting the demand has long been recognized bymanagers as crucial to making the organization successful However numerous problems occurand many factors need to be considered in order to give the customer what they want how theywant it as well as where and when they want it Failure to understand crucial characteristics ofdemand will result in supply shortage or excessive stock that will place serious financial burdenson the organization subsequently leading to a loss of market share and customers

Sign in to Continue Reading

Eric Bakama MikobiDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

Eveth Nwobodo-AnyadiegwuDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

Charles MbohwaDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|

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Conferences gt 2018 5th International Confer

2 Author(s) Shikha Singh Subhas Chandra Misra View All Authors

Core challenges to cloud PLM adoption in large manufacturing firms

60FullText Views

Abstract

Document Sections

I Introduction

II Literature Review

III ResearchMethodology

IV Case Study and DataAnalysis

V Result and Discussion

Show Full Outline

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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

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AbstractAs the globalization is at its peak and innovative products are at high demand firms are forced to workin a collaborative manner The product data must be lively available to all the collaborated partnersAlthough on-premise Product Lifecycle Management (PLM) systems are offering the collaborationsand product data management throughout the products lifecycle the Internet of Things (IoT) eraoffers more connectivity at a lesser cost Though most large manufacturing firms have established theon-premise PLM systems yet face some difficulties related to maintenance and upgradations of in-house information technology (IT) infrastructure Hence cloud PLM is under consideration foradoption among many large manufacturing firms However there are several challenges associatedwith cloud PLM adoption decision This work intends to find out the challenges which largemanufacturing firms face while deciding to adopt cloud PLM The empirical investigations have beenattempted to find out the relations among the challenges faced and to provide the guideline on how tofind out the core challenges which needs to be attended before adopting cloud PLM in largemanufacturing firms

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844276

DOI 101109IEA20188387085

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionProduct lifecycle management (PLM) systems are the IT tools [1] which support the PLMbusiness concept [2] to manage the whole lifecycle of a product in firms PLM systems help totransform the organizations into digitized era and make them technologically robust by giving a3D product designing and virtual manufacturing opportunity [3] PLM systems help in substantialcost savings by reducing the real manufacturing efforts Product-related knowledge must need tobe preserved so that it can help in the other phases of product lifecycle such as repair overhaulreuse recycle and or disposal of the product Increasing number of enterprise informationsystems stakeholders and product related information demand the need for a managementapproach which makes the managers capable of managing all the dispersed product informationat one common repository for reuse

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Shikha SinghDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India

Subhas Chandra MisraDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India

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Click to Expand

See the top organizations patenting intechnologies mentioned in this article

IEEE Account

raquo Change UsernamePassword

raquo Update Address

Purchase Details

raquo Payment Options

raquo Order History

raquo View Purchased Documents

Profile Information

raquo Communications Preferences

raquo Profession and Education

raquo Technical Interests

Need Help

raquo US amp Canada +1 800 678 4333

raquo Worldwide +1 732 981 0060

raquo Contact amp Support

A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|

My Settings Get HelpBrowse Subscribe

Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance

During this time saved searches will not be editable We apologize for any inconvenience

Lenovo
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Institutional Sign In

IEEEorg IEEE Xplore Digital Library| IEEE-SA| IEEE Spectrum| More Sites| Cart (0) Create Account| Personal Sign In|

All Enter keywords or phrases (Note Searches metadata only by default A search for smart grid = smart AND grid)

Advanced Search | Other Search Options

Conferences gt 2018 5th International Confer

3 Author(s) Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong View All Authors

Innovative product development of fabric glass interlayer

39FullText Views

Abstract

Document Sections

I Introduction

II Methodology

III Conclusion

Authors

Figures

References

Keywords

MetricsPublished in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

References

Keywords

Metrics

AbstractA glass manufacturer in Thailand developed the laminated fabric glass as innovative product in 2013but sales had declined in 2016 Customers survey shows that the satisfaction level decreased due tolong production lead time high-selling price and long installation time This paper aims to develop anew innovative fabric glass interlayer product by adopting 5D innovation development process 5Dconsists of Discover Define Design Develop and Deploy Firstly discover phase adopted Five ForcesAnalysis Customer Behavior Analysis and Customers Satisfaction Survey for specifying marketposition and seeking the hidden customers expectations Define is to summarize the project charteras initiation step in the project management and to scope resources and timeframe Design weadopted the integration of QFD Kano Model and Product Quality Index for prioritizing and translatingcustomer expectations to product specifications Then all concepts were concluded by Pugh MatrixWeighted Sum Score and confirmed the selected concept by financial feasibility study Developprocess is to prototyping to verify the production before scale up Finally generated the riskassessment plan by FMEA and contributed the business plan to ensure the effectivecommercialization in Deploy The developed fabric glass interlayer shows higher customer satisfactionlevel by shorten production lead time from 14 days to 8 days (4285) lower price from 790 bahtft to 485 bahtft (3861) and shorten installation time from 180 minutes to 45 minutes (75)

2

2

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844226

DOI 101109IEA20188387141

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionThe case company is one of the glass manufacturers in Thailand who process the fundamentalfunctional building glass tempered and laminated glass for the architectural construction andinterior decoration The companys vision was stated to be the leader of glass innovation within2022 To be the leader of the glass innovation case company should focus on the continuousinnovative product development The mainly innovative product that had been sold for manyyears was the fabric glass as 52 52 and 47 in 2015 2016 and 2017 respectively

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Ploynaplus ThanasirithamDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

Natcha ThawesaengskulthaiDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

Prasert AkkharaprathomphongDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

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Conferences gt 2018 5th International Confer

2 Author(s) Jingying Huang Liya Wang View All Authors

Makespan minimization on single batch-processing machine consideringpreventive maintenance

37FullText Views

Abstract

Document Sections

I Introduction

II Problem Description

III Batching Rule

IV Improved Heuristics

V ComputationalResults andDiscussions

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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

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AbstractThis paper considers the problem of minimizing makespan on a single batch-processing machineconsidering preventive maintenance A mathematical model for integrating flexible preventivemaintenance into the batch-processing machine scheduling is proposed A two-stage method isproposed to solve the problem A batching rule considering maintenance is proposed to group jobsinto batches firstly And then we improve existing heuristics to schedule production and maintenanceComputational results indicate that the two-stage method based on proposed batching rule andimproved heuristics is effective

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844275

DOI 101109IEA20188387113

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionBPM (Batch processing machine) problem has attracted many researchers in recent years BPMis able to process a group of jobs as long as the number of jobs in the batch is less than or equalto the capacity of the machine To minimize total flow time Rui Xu [1] proposed an ant colonyalgorithm combined with the candidate list NR Parsa [2] proposed an algorithm using a hybridmax-min ant system AH Kashan [3] proposed a batch based hybrid genetic algorithm thatgenerates random batches of jobs and ensures feasibility To minimize total earliness andtardiness of the jobs NR Parsa [4] proposed a dynamic programming algorithm and severalheuristics BPM problem is practically applied in many manufacturing industries One of them issemiconductor wafer manufacturing industry BPM problem is applied in the furnace area in themanufacturing process of semiconductor wafers The machine is only shared by jobs requiringthe particular processing operation [5] That is in reality only semiconductor wafers with thesame kind of process can be grouped into a batch However the papers above did not take thisconstraint into consideration They assumed the jobs with different processing time can begrouped into the same batches Also the above papers did not consider about maintenancewhen grouping and scheduling jobs

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Jingying HuangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina

Liya WangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina

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raquo Change UsernamePassword

raquo Update Address

Purchase Details

raquo Payment Options

raquo Order History

raquo View Purchased Documents

Profile Information

raquo Communications Preferences

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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|

My Settings Get HelpBrowse Subscribe

Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance

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KEYNOTE AND INVITE SPEAKERS

Keynote Speech

Keynote Speech ndashI

Abstract of speech

Many products are designed to last longer than

the typical lifespan of human being Its thus a

challenge to validate the design life through

reliability tests even when testing is conducted

under much harsher environment Not only that

test duration is usually constrained but the

samples available for testing may also be costly

andor limited in quantity Statistically optimal

plans will allow for efficient use of testing

resources and yet derive the most information

from the test In this presentation we shall

discuss ideas related to designing test plans for

both constant stress and step stress ALT leading

to the statistical optimal plan for sequential ALT

While that of constant ALT is basically a Bayesian

approach that for the step stress ALT requires

solving a dynamic program using backward

induction For the latter optimal solutions are

only available for exponential lifetime and there

are rooms for further research

Loon Ching TANG

BIO Dr Loon Ching TANG is currently the Director of

Temasek Defence Systems Institute and Professor of

Department of Industrial Systems Engineering and

Management at the National University of Singapore

He obtained his PhD degree from Cornell University in

the field of Operations Research in 1992 and has

published extensively in areas related to industrial

engineering and operations research He has been

presented with a number of best paper awards

including the IIE Transactions 2010 Best Application

Paper Award and 2012 RA EvansPK McElroy Award

for the best paper at Annual RAMS Prof Tang is the

main author of the award-winning book Six Sigma

Advanced Tools for Black Belts and Master Black Belts

Besides being active in the forefront of academic

research in the last 25 years Prof Tang has served as

consultant for many organizations such as the

Ministry of Home Affair Singapore Power Republic of

Singapore Air Force Seagate HP Phillips etc on a

wide range of projects aiming at improving

organizational and operations efficiency especially

through better management of engineering assets He

is currently a fellow of ISEAM the Editor of Quality amp

Reliability Engineering International and an editorial

review board member of the flagship journal of ASQ

Journal of Quality Technology (since 2006) He has

served as the Region VP (Asia) of IIE (2013-16) and a

member of the advisory board of the Singapore

Innovation and Productivity Institute

Apr 26(Thu) 2018 1305-1350

Auditorium Room

ldquoPlanning Sequential Accelerated Life Testingrdquo

Prof Loon Ching TANG

National University of Singapore Singapore

Lenovo
Highlight

Keynote Speech ndashII

George ZHANG

BIO Professor Zhe George Zhang is a professor of

Management Science in the Department of Decision

Sciences at Western Washington University and a

professor of Operations Management in Beedie

School of Business at Simon Fraser University He is

also visiting professor of Sauder School of Business

at the University of British Columbia Dr Zhang

received his BS in Computer Science and MA in

Economics from Nankai University China his MBA

from the Schulich School of Business at York

University and his PhD in Operations research from

the University of Waterloo Professor Zhang has

published many papers in prestigious journals such

as Management Science Operations Research

Manufacturing amp Service Operations Management

Production and Operations Management IIE

Transactions IEEE Transactions Queueing Systems

Journal of Applied Probability Co-authored with

Professor Tian in 2006 he published the research

monograph Vacation Queueing Models - Theory

and Applications the first book on this particular

topic (now highly cited) Professor Zhangs research

interests include queueing theory and applications

and stochastic models for manufacturing and

service systems The main theme of his research is

to bridge the gap between theory and application

obtaining unobservable and sometimes

counter-intuitive but significantpractical

management insights via modeling and quantitative

analysis Currently he is particularly interested in

the quantitative and economic analysis of the

congestion problems in urbanmass transportation

networks healthmedical care systems and public

service systems with both customer service quality

and security concerns As an expert in data analysis

and quantitative modeling he has consulted in

industry and has given research seminars and short

lectures at leading universities around the world He

was invited to present plenary or keynote talks in

several international conferences Professor Zhang

is the one of Editor-in-Chiefs for new journal

Queueing Models and Service Management aan

associate editor of INFOR (Information Systems and

Operations Research) and is on the editorial board

of several international journals in Operations

Research and Management Science

Apr 26(Thu) 2018 1350-1435

Auditorium Room

ldquordquo

Prof George ZHANG

Western Washington University USA

Lenovo
Highlight

Keynote Speech ndashIII

Abstract of speech

The purpose of this paper is to investigate the

generalized age maintenance policies for a system

with random working times When the system fails

it is subject to one of two types of failures with

age-dependent probability type I failure can be

removed by minimal repair and type II failure must

be rectified by replacementA First the system is

preventively replaced before type II failure at time T

or at the completion of Nth working projects

whichever occurs first Two modified models where

the system is preventively replaced before type II

failure at time T or at the completion of Nth

working projects whichever occurs last and it is

preventively replaced at the first completion of the

working project over time T or at the completion of

Nth working projects whichever occurs first are

considered By introducing costs due to repairs

maintenance and replacement the expected cost

per unit time is derived as a criterion of optimality

and the optimal policy that minimizes that cost is

discussed analytically

Shey-Huei SHEU

BIO Professor Shey-Huei Sheu is a Chair Professor

of Department of Statistics and Informatics Science

at the Providence University He is an Honorary

Chair Professor of the Department of Industrial

Management at the National Taiwan University of

Science and Technology He received his MS

degree (1979) in applied mathematics from the

National Tsing Hua University and his PhD degree

(1987) in statistics from the University of Kentucky

He has published in journals such as Naval Research

Logistics Journal of Applied Probability RAIRO

Operations Research Microelectronics and

Reliability Reliability Engineering and System Safety

International Journal of Systems Science Quality

and Reliability Engineering International

International Journal of Reliability Quality and

Safety Engineering Journal of the Operational

Research Society European Journal of the

Operational Research Computers and Operation

Research Computers and Industrial Engineering

Quality Engineering Asia-Pacific Journal of the

Operational Research Communications in

Statistics-Theory and Methods Computers and

Mathematics with Applications Simulation

Modeling Practice and Theory Communications in

Statistics-Simulation and Computation Journal of

Statistical Computation and Simulation

International Journal of Production Economics

Quality Technology and Quantitative Management

The International Journal of Advanced

Manufacturing Technology Expert Systems

International Journal of Computer Mathematics

Journal of Applied Statistics Production Planning

and Control International Journal of Production

Research Applied Mathematical Modelling IEEE

Transactions on Reliability and Annals of

Operations Research

Apr 26(Thu) 2018 1435-1520

Auditorium Room

ldquoThe Generalized Age Maintenance Policies with

Random Working Timesrdquo

Prof Shey-Huei SHEU

Providence University Taiwan

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Highlight

Keynote Speech ndashIV

Abstract of speech

IEEE 80211ah a specification belonging to 80211

wireless local area network (WLAN) protocol family

has been recently released to support the

long-range low-power and low-rate wireless

communication among smart devices used in

Internet of Thing (IoT) systems However security

requirements of the energy-constrained devices

have plenty of issues different from the traditional

wireless devices It requires that the lightweight

security protocols have to support low-power and

low-latency as well as the long-lasting features of

quantities of IoT devices The recently released IEEE

statndard IEEE 80211ai has specified a Fast Initial

Link Setup (FILS) which is a brand-new approach

aiming at establishing fast stable and secure links

among smart devices IEEE 80211ai could be applied

to other wireless systems such as the wireless

system of IEEE 80211ah with security

enhancements In this talk I would address the

secureity issues of IEEE 80211ai and IEEE 80211ah

with an new proposal to enhance the

authentication process in the link setup procedure

specified by IEEE 80211ai

Maode MA

BIO Dr Maode Ma is a Fellow of IET He received his

PhD degree in computer science from Hong Kong

University of Science and Technology in 1999 Now

Dr Ma is an Associate Professor in the School of

Electrical and Electronic Engineering at Nanyang

Technological University in Singapore He has

extensive research interests including network

security and wireless networking Dr Ma has about

350 international academic publications including

over 160 journal papers and about 190 conference

papers He has delivered over 50 keynote speeches

at various international conferences He has served

as various chairs for over 100 international

conferences He currently serves as the

Editor-in-Chief of International Journal of Computer

and Communication Engineering and International

Journal of Electronic Transport He also serves as a

Senior Editor or an Associate Editor for other 4

international academic journals Dr Ma is a Senior

Member of IEEE Communication Society and IEEE

Education Society and a Member of ACM He is the

Chair of the IEEE Education Society Singapore

Chapter and the Chair of the ACM Singapore

Chapter He has served as an IEEE Communication

Society Distinguished Lecturer from 2013-2016

Apr 26(Thu) 2018 1530-1615

Auditorium Room

ldquoEfficient and Secure Authentication Schemes for

IEEE 80211ah Networks rdquo

Prof Maode MA

Nanyang Technological University Singapore

Lenovo
Highlight

Keynote Speech ndashV

Abstract of speech

Stochastic aircraft routing (SAR) plays a critical role

in defining the routing plans of airlines which

include assigning the aircraft to flight legs and

determining the time and location of maintenance

to the aircraft Based on the routing plan specified

by the airlines the maintenance providers should

schedule their workforce to perform maintenance

operations by solving the maintenance staffing

problem (MSP) MSP helps maintenance providers

to build their staffing plans which include the

assignment of manpower to each aircraft so that

aircraft receive the required maintenance

operations as planned Practically for airlines the

routing plan will be interrupted (eg flight delays) if

an aircraft cannot be released from the

maintenance station punctually Similarly for

maintenance providers if an aircraft misses the

scheduled appointment at the maintenance station

this will also cause a huge interruption to their

staffing plan Therefore there is an interrelationship

between SAR and MSP In the literature the focus

of each problem has been traditionally considered

separately with only limited consideration of their

interrelationship In this paper we study SAR along

with MSP with the objective of investigating the

interrelationship between SAR and MSP For this

purpose we propose a coordinated configuration

of SAR and MSP that is formulated as a

leader-follower Stackelbery game in which SAR

acts as a leader and MSP acts as a follower This

game is enacted through a bi-level optimization

model which is solved by a bi-level nested ant

colony optimization (ACO) algorithm A case study

of a major airline and maintenance provider located

in the Middle East is presented to demonstrate the

feasibility and potential of the proposed model The

results demonstrate significant saving in the costs

of both companies

Felix TS CHAN

BIO Professor Felix T S Chan received his BSc

Degree in Mechanical Engineering from Brighton

Polytechnic (now University) UK and obtained his

MSc and PhD in Manufacturing Engineering from

the Imperial College of Science and Technology

University of London UK Professor Chan is now

working at the Department of Industrial and

Systems Engineering The Hong Kong Polytechnic

University and also serving as Associate Dean

(Research) at the Faculty of Engineering His current

research interests are Logistics and Supply Chain

Management Operations Management

Distribution Coordination Systems Modelling and

Simulation AI Optimisation To date he has

published 16 book chapters over 300 refereed

international journal papers and 250 peer reviewed

international conference papers h index= 30 under

the Web of Science He is a chartered member of

the Chartered Institute of Logistics and Transport in

Hong Kong According to a study lately published in

the International Journal of Production Research

(httpdxdoiorg1010800020754320151037935)

the study measured the research contributions over

a 26-year time frame (1985-2010) of academic

institutions and individual authors to the field of

Apr 26(Thu) 2018 1615-1700

Auditorium Room

ldquoInvestigating the Interrelationship between

Stochastic Aircraft Routing of Airlines and

Maintenance Staffing of Maintenance Providersrdquo

Prof Felix TS CHAN

The Hong Kong Polytechnic University Hong Kong

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Highlight

Operations Management (OM) based on published

articles in 11 top-rated and well-known academic OM

journals Professor Chan was among the top 50

prolific authors list who have made the greatest

overall contribution to the field as measured by the

number of distributed and shared articles published

in the 11 designated journals Also Professor Chan

was Ranked No 3 in The top 100 authors as the

most productive researchers in the field of

Operations Management over the past 10 years

(2001-2010)

COMMITTEE

ICIEA 2018 Organizing Committee

International Advisory Committee

Zhe George Zhang Western Washington University USA

Conference Chairs

Felix T S Chan The Hong Kong Polytechnic University Hong Kong

Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan

Local Organizing Chair

TANG Loon Ching National University of Singapore Singapore

Organizing and Program Committees

Seoung Bum Kim School of Industrial Mangement Engineering Korea University

Usik Lee Inha University Korea

Maode Ma Nanyang Technological University Singapore

Finance Chair

Minghan Xi Dalian Maritime University China

International Technical Committees

Cheng-Feng HuNational Chiayi University Taiwan

Dong-Yuh YangNational Taipei University of Business Taiwan

Mario HirzGraz University of Technology Austria

Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt

Po-Hsiang Liu College of Business and Management in St Johns University USA

Taesu Cheong Korea University Korea

Tien-Lun Liu Chung Yuan Christian University Taiwan

Wei CaiWuhan University of Technology China

Jinguo Huang Huazhong University of Science and Technology China

Yu-Chung Tsao National Taiwan University of Science Technology Taiwan

Yip Mum WaiTunku Abdul Rahman University College Malaysia

Pule Kholopane University of Johannesburg South Africa

Bonivasius Prasetya Ichtiarto mercu buana university Indonesia

Elita Amrina Andalas University Indonesia

Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan

Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong

Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia

Lenovo
Highlight
Lenovo
Highlight
Lenovo
Highlight
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Highlight

Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India

Byung Do Chung Yonsei University Korea

M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia

Sandeep Singhal National Institute of Technology India

J W Wang The University of Hong Kong Hong Kong

Ching-Chang Kuo National Taichung University of Science and Technology Taiwan

Kuo-Hsiung Wang Providence University Taiwan

ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia

Sangbok Lee Hansung University Korea

Adrian E Coronado Mondragon Royal Holloway University of London UK

Chin-I Lee Ling Tung University Taiwan

S H ChoiUniversity of Hong Kong Hong Kong

Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan

Wei Cai Wuhan University of Technology China

Hashibah Hamid Universiti Utara Malaysia Malaysia

TMA Ari Samadhi Bandung Institute of Technology Indonesia

Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia

Pi-Chun Hsu Chaoyang University of Technology Taiwan

Mu-Chen Chen National Chiao Tung University Taiwan

Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan

Tsu-Wei Yu Chaoyang University of Technology Taiwan

Lingyun Wei Beijing University of Posts and Telecommunications China

Hamdi Bashir University of sharjahUnited Arab Emirates

LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand

LIU Hai-peng Kunming University of Science and Technology China

Elfira Febriani Trisakti University Indonesia

Yu-Hsiang Hsiao National Taipei University Taiwan

Chien-Chih Wang Ming Chi University of Technology Taiwan

Atichart Harncharnchai Chiang Mai University Thailand

Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)

Switzerland

Bambang Suhardi Universitas Sebelas Maret Indonesia

Ssu Han Chen Ming Chi University of Technology Taiwan

Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia

Augustina Asih Rumanti Bandung Institute of Technology Indonesia

Maheshwar Dwivedy BML Munjal University India

Zhichuan Guan China university of petroleum (East China) China

Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia

Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia

Yenming J Chen National Kaohsiung University of Science and Technology Taiwan

Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia

TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand

Li Li Nanjing University of Science and Technology China

SERTIFIKAT

Page 14: Nilai Maksimal Prosiding - eprints.undip.ac.ideprints.undip.ac.id/70482/1/...of_GSCM_practice_peer_review_lengkap.pdf · discriminant function as Z= (0.238-IeM) + (0.602-GPU) + (1.161-CCO)

v

Understanding the Model of User Satisfaction in Using Cloud Storage Systems of Employees in Thailand A

Conceptual Framework 110

Kulapa Najantong Singha Chaveesuk Wornchanok Chaiyasoonthorn

Evaluating Variables That Affect Job Satisfaction of Bank Customer Contact Centre Agents in South Africa

116

Eveth Nwobodo-Anyadiegwu Charles Mbohwa Nokukhanya Ndlovu

Information Processing and Engineering

Real-time Localization and Navigation in an Indoor Environment Using Monocular Camera for Visually

Impaired 122

Kruthika Ramesh Nagananda S N Hariharan Ramasangu Rohini Deshpande

Experiment and Optimization of Magnetostrictive for Long Time Operation to Find Amplitude of Vibration

and Thermal Limit 129

Nuttakorn Pukseesang Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa

Some Methods for Measuring the Efficiency of Firms Utilizing Different Technologies 134

Soobin Choi Jaedong Kim Hanjun Lee

Core Challenges to Cloud PLM Adoption in Large Manufacturing Firms 141

Shikha Singh Subhas Chandra Misra

Intelligent Systems

Visual and Hearing Detection Capabilities to Discriminate whether a UAV Invade a Campus Airspace 146

S J Chang K W Li

Reflections on Facilitating the Development of ldquoInternet Plusrdquo Intelligent Manufacturing in China 150

Yong Tao Gang Zhao Qiushi Li Wen Zhao

A Study of Small Complicated Axisymmetric Parts Manufacturing in Industry 40 158

Chengcheng Zhu Shengdun Zhao Shuaipeng Li

Voltage Stability in DC Micro Grid by Controlling Two Battery Units with Hybrid Network Systems 163

Adhi Kusmantoro Ardyono Priyadi Mauridhi Hery Purnomo

Design and Implementation of IoT Based Smart Laboratory 169

M Poongothai P Muthu Subramanian A Rajeswari

vi

Analysis of Microwave Precipitation in the Topographic Barrier for the Lifting Condensation Level of Clouds

Formation 174

Supawat Kotchapradit Thanaset Thosdeekoraphat Samran Santalunai Chanchai Thongsopa

Improved Efficiency of Insect Pest Control System by SSPA 179

Phanupong Saeung Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa

Manufacturing Systems

Optimized Information Exchange Process between CAD and CAMmdashEnhanced Data Exchange in the Field of

Joining Technology from the Viewpoint of an Automotive Supplier 184

Alexander Kreis Mario Hirz Severin Stadler

Efficiency Improvement of Door Frame Manufacturing Process in Wood Product Manufacturing Industry

189

Lerdlekha Sriratana

The Structural Design of 3D Print Head and Execution of Printing via the Robotic Arm ABB IRB 140 194

Martin Pollaacutek Jozef Toumlroumlk Jozef Zajac Marek Kočiško Monika Teliškovaacute

Micro-fabrication Method of Au Micro-wire Structures on Substrate by Chemical Printing and Peeling Process

199

Potejana Potejanasak

Evaluation of Thermal Comfort Room Garment Workshop in Textile Vocational School 203

Anastasia Febiyani Bambang Suhardi Eko Pujiyanto

Modular Measuring System for the Force Distribution in Forming Processes 208

W Zorn L Hamm R Elsner W G Drossel

Gravity Filling System of Slurry for Rod Mill Sand with High Concentration and Research on Technical

Transformation in Jinchuan Mine 214

Li Li-Tao Yang Zhi-Qiang Gao Qian Wang Yong-Ding

Defect Reduction in the Board Front Door Trim Manufacturing Process 220

Punyisa Kuendee

Operations Research

Integrated Railway Timetable Scheduling Optimization Model and Rescheduling Recovery Optimization

Model A Systematic Literature Review 226

Erlangga Bayu Setyawan Dida Diah Damayanti

vii

A Comparative Analysis about the Balance Design of the Assembly Line by Branching amp Bound Method and

Lingo Method 231

Jia Shuyuan Huang Li Li Qin Gu Yonghu

The Optimal Routes and Modes Selection in Multimodal Transportation Networks Based on Improved A

Algorithm 236

Yan Liu Lingyun Wei

Industrial Cluster Optimization Based on Linear Programming 241

Roberto Montemanni Jafar Jamal

Multi-objective Joint Optimization of Batch-discrete Hybrid Flow Shop Scheduling Integrated with Machine

Maintenance 247

Yangyang Fei Huimin Ma

Investigating the Interrelationship between Stochastic Aircraft Routing of Airlines and Maintenance Staffing

of Maintenance Providers 254

Felix T S Chan Abdelrahman E E Eltoukhy

An Modified Relax-and-fix Algorithm for the Multi-level Lot-sizing Problem with Replaceablility 262

Mingyuan Wei Yifei Yuan Canrong Zhang

Height-Based Heuristics for Relocating Containers during Loading Operations 268

Yifei Yuan Canrong Zhang Ting Huang

A Record-to-Record Travel Algorithm for Multi-product and Multi-period Inventory Routing Problem 274

Fadillah Ramadhan Arif Imran Afrin Fauzya Rizana

Developing Tabu Search with Intensification and Diversification for the Seriation Problem 279

Pimprapai Thainiam

A Comparative Study of Mixed-Integer Linear Programming and Genetic Algorithms for Solving Binary

Problems 284

Punyisa Kuendee Udom Janjarassuk

Production Planning and Control

Concurrent Optimization of Job Shop Scheduling and Dynamic and Flexible Facility Layout Planning 289

Ryota Kamoshida

Makespan Minimization on Single Batch-processing Machine Considering Preventive Maintenance 294

Jingying Huang Liya Wang

viii

Customer Kansei-Oriented Restaurant Location Evaluation Using Kansei Engineering 299

Yu-Hsiang Hsiao Guan-Ting Chen

An Improvement Scheme for the Overall Line Effectiveness of a Production Line A Case Study 304

Jieli Li Yuhui Jia Binbin Xu Fei Chen Zhaojun Yang Xiaodong Li

An Adjustment Method for Material Inventory Control Decision Considered in Product Life Cycle 310

Jiun-Shiung Lin Jen-Huei Chang i-Yan Yang

Application of a Hidden Markov Model for Consistency Checking of Process Plant Facility Tag NumbersmdashA

Case Study 314

Jayaram Sivaramakrishnan Gareth Lee

Analyzing Circadian Rhythms for Breaktime Schedulling on Night Shift Work 321

Lovely Lady Ansor Firdaus

Resource-Reconfigured Flow Shop Scheduling and Lot-Sizing Problems in Semiconductor Test 326

Yige Zhang Yuangen Lu Cangrong Zhang

Process Flow Improvement in Production of Noise Filter Products through Lean Manufacturing Technique

333

Rattarak Moonpragarn Rungchat Chompu-inwai

Waste Reduction in the Shoe Sewing Factory 340

Pongpat Phetrungrueng

The Joint Replenishment Problem with Resource Restriction A Note 345

M I M Wahab Y Chen

Aggregate Planning in Canned Pineapple Production Lines 349

Datepard Charoenponyarrat Tuanjai Somboonwiwat

Applications of Data Mining

A Research Study on Unsupervised Machine Learning Algorithms for Early Fault Detection in Predictive

Maintenance 355

Nagdev Amruthnath Tarun Gupta

The Analysis of Matching Learners in Pair Programming Using K-Means 362

Naladtaporn Aottiwerch Urachart Kokaew

Machine Learning Based Approach for Demand Forecasting Anti-aircraft Missiles 367

Jaedong Kim Hanjun Lee Soobin Choi

ix

Quality Control and product lifecycle Management

Simultaneous Prediction Interval-Based Multiobjective Solution Approach for Multiple Quality Characteristics

Optimization 373

Abhinav Kumar Sharma Indrajit Mukherjee

The TQM Integration in Procurement Function Performance 378

Bisalyaputra K

Safety Analysis at Weaving Department of PT X Bogor Using Failure Mode and Effect Analysis (FMEA) and

Fault Tree Analysis (FTA) 382

Prima Fithri Nidi Annisa Riva Lusi Susanti Berry Yuliandra

Success Determinants to Product Lifecycle Management (PLM) Performance 386

Shikha Singh Subhas Chandra Misra

Company Performance Measurement for Automobile Companies a Composite Indicator from an

Environmental Perspective 391

Qinqin Zeng Wouter W A Beelaerts van Blokland Sicco C Santema Gabriel Lodewijks

Loss Time Reduction for Improve Overall Equipment Effectiveness (OEE) 396

Kamolchanok Krachangchan Natcha Thawesaengskulthai

Service Innovation and Management

Estimating Diffusion of Technology Using User Perceptual Values A Conceptual Model 401

Chaudry Bilal Ahmad Khan

Implementation of Innovative Digitalization Methods in Reverse Engineering 406

Monika Teliškovaacute Martin Pollaacutek Jozef Toumlroumlk Jakub Kaščaacutek Petr Baron Viktoria Mezencevova

Topological Evolution of Public Transportation Network A Case Study of Bangkok Rail Transit Network 410

Pijaya Na Bangxang Pisit Jarumaneeroj

A Design of Automated Parking System for Shopping Centers in Metro Manila 415

Ma Janice J Gumasing Charles Aaron V Atienza

Design of an Ergonomic Classroom Chair and Desk for Preschool Students of Selected Public Schools in

Cabuyao City Laguna 420

Ezrha C Godilano Mark Kevin G Galang Hazel Elaine O Ramilo Kristian Roi F Velayo

Design of an Ergonomic Wheelbarrow to Reduce Physiological Demands of General Users 424

Ezrha C Godilano Karl Vincent Casas Aubrey Justine Vargas

x

Ergonomic Intervention Addressing Musculoskeletal Disorders among Poultry Layer Workers 429

Ma Janice J Gumasing Rex Aurelius C Robielos

Wristwatch Development Based on Kansei Engineering 435

Imam Djati Widodo Heavy Zerry Novibrilliawan

Innovative Product Development of Fabric Glass Interlayer 440

Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong

Systems Modeling and Simulation

A Simulation Study of Multi-dimensional Clearing Function Considering Degradation for Semiconductor

Manufacturing 448

Jianqiu Huang Jingying Huang Liya Wang

Productivity Improvement of Tapioca Packing Process through Simulation Modeling Analysis 453

Nara Samattapapong

Modelling the Barriers for Mass Adoption of Electric Vehicles in Indian Automotive Sector An Interpretive

Structural Modeling (ISM) Approach 458

Surya Prakash Sameer Sharma Poudel Maheshwar Dwivedy Dilesh Raj Shrestha

Diagnostics of the Wire Coating Production Line by Implementation of Computation Methods 463

Ivan Kuric Miroslav Cisar Ivan Zajacko Tomas Gal

District Model with Two Types of Vehicles for Transporting Sugarcane 468

Rujirat Patcharamethanon Kanchala Sudtachat

Experiment of Induction Heating Application for Heating Multilayer Metallic Hollow Altered Cylinder 475

Jakkarin Srituvanont Thanaset Thosdeekoraphat Chanchai Thongsopa Samran Santalunai

A Framework for Analyzing and Developing Dashboard Templates for Small and Medium Enterprises 479

Wasinee Noonpakdee Thitiporn Khunkornsiri Acharaphun Phothichai Kriangsak Danaisawat

An Economic Order Quantity Model with Continous Quantity Discount and Probabilistic Demand 484

Ardian Rizaldi Ashaeurizky Dilianaputri Fitri A Anugrah Riska Ummaya Senator Nur Bahagia

Technology and Knowledge Management

Analyzing Interdependencies in a Project Portfolio Using Social Network Analysis Metrics 490

Helal Al Zaabi Hamdi Bashir

Sentiment Analysis of Twitter Corpus Related to Artificial Intelligence Assistants 495

Chae Won Park Dae Ryong Seo

xi

Artificial Neural Neural Network Approach for Technology Life Cyle Construction on Patent Data 499

Muhammad Hanif Ramadhan Vialli Ibrahim Malik Teddy Sjafrizal

A Systematic Literature Review on Knowledge Sharing for Innovation Empirical Study Approach 504

Augustina Asih Rumanti T M A Ari Samadhi Iwan Inrawan Wiratmadja Indryati Sunaryo

Belief Representation of Design Mental Model Based on Design Rationale 510

Chen Ying Jing Shikai Wang Yedong Cheng Dada

Study on Teaching Methods of Fundamental Electrical Courses in Engineering Education 515

Jianpei Chen Fei Gao Lingling Kong Lin Cui

Supply Chain Management

Supply Chain Model for Renewable Energy Resource from Biomass in Vietnam 520

Duy Nguyen Duc Narameth Nananukul

Exploring the Implementation of Green Supply Chain with Cluster and Discriminant AnalysismdashCase Study

Furniture Industry at Central Java Semarang 526

Aries Susanty Diana Puspita Sari

Systematic Literature Review and Improved Model for Mitigating Bullwhip Effect in Low Shelf Life Food

Supply Chain 531

Nia Novitasari Dida Diah Damayanti

Supply Chain Management Performance and Partial Least Square-Structural Equation Model An application

to Thai Tourism Supply Chain 536

Daraka Palang Korrakot Yaibuathet Tippayawong

An Economic Competitiveness Analysis of Power Generation Plants 543

Ndala Yves Mulongo Pule Kholopane

Supplier Selection Considering Sustainablitity Criteria by Using A Hybrid Evaluation Method in Printing

Business 548

Onsiree Mananawigapol Chorkaew Jaturanonda Tuanjai Somboonwiwat

Barriers and Drivers of eBIZ Adoption in the Fashion Supply Chain Preliminary Results 555

Bianca Bindi Virginia Fani Romeo Bandinelli Gilda Massa Gessica Ciaccio Arianna Brutti Piero De

Sabbata

A Simulation Analysis on Regional Logistics Development Based on System Dynamics The Case of Yunnan

Province 560

Yinyuan Si Wensheng Yang Huini Zhou

Lenovo
Highlight

xii

A Sustainability Assessment of Electricity Supply Systems 565

Ndala Yves Mulongo Pule Kholopane

Author Index

1040-1210 Friday 27 Apr

Session B-2 Supply Chain Management Venue Lemongrass Room

Chair

N066

Time 1040-1055

A study on Healthcare-product Supply Chain with a group purchasing organization Ms Yin Han Lingyun Wei Beijing University of posts and telecommunications Beijing China

In order to better understand the impact of group purchasing organization (GPO) on healthcare-product supply chain we build a supply chain model consisting of one manufacturer one competitive source one group purchasing organization(GPO) and n healthcare providers for a single product Providers may purchase from any source for minimizing their total costs Through considering different providersrsquo demands power schemes and revenue sharing between GPO and providers we analyze the performance of supply chain and its members under various situations Numerical examples show some interesting findings (1) When GPO dominates the supply chain GPO can obtain more profits (2)When manufacturer dominates the supply chain and GPO shares its revenue with providers there exists specific revenue sharing rates which increase GPOrsquos profits and reduce providersrsquo cost (3) Manufacturer always can achieve a same optimal profit by changing quantity discount rate when GPO dominates supply chain and shares its revenue with providers

N108

Time 1055-1110

Exploring the Implementation of Green Supply Chain with Cluster and Discriminant Analysis Case Study Furniture Industry at Central Java Semarang Dr Aries Susanty Diana Puspitasari Diponegoro Univeristy Indonesia This study has two objectives First this study aims to categorize the level of the implementation of Green Supply Chain Management (GSCM) practice among Small and Medium Enterprises (SMEs) of wooden furniture in several clusters Second this study aims to find the linear combination of five dimensions of GSCM practices that will discriminate best between prior defined clusters The study used primary data through questionnaires enclosed with the Likert scale 1-5 at 162 SMEs of wooden furniture located in Surakarta Jepara Semarang and Kudus The raw data level of implementation of five dimensions of GSCM practice is analyzed using K-Means cluster and discriminant analysis with the aid of the Statistical Package for the Social Sciences (SPSS) software The result of K-Means cluster analysis indicated that a two-cluster is the optimal number of a group for separating the data of the level of implementation of GSSM practice among SMEs of wooden furniture and the two clusters founded in this research are labeled as early adopter and laggards Then the result of the discriminant analysis indicated that as high as 9877 of the SMEs of wooden furniture was classified correctly The result of discriminant analysis also revealed the discriminant function as Z= (0238IEM) + (0602GPU) + (1161CCO) + (1128ECO) + (1126IRE) - 13124 and the threshold for evaluating a discriminant score of

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Conferences gt 2018 5th International Confer

3 Author(s) Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa View All Authors

Demand management practices in the manufacturing industry An empiricalSouth African perspective

38FullText Views

Abstract

Document Sections

I Introduction

II Literature Review

III Methodology

IV Resultsampinterpretations

V Conclusion

Authors

Figures

References

Keywords

Metrics

Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

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Keywords

Metrics

AbstractThis paper aims to identify and explore Demand Management (DM) practices used within the SouthAfrican Manufacturing industry The study followed a qualitative design approach in order to identifythe relationship between DM methods such as forecasting and the best practices used by therespondents Therefore a purposive sampling technique was used whereby a questionnaire was sentout via email to 15 manufacturing companies before meeting them for a face to face interviewconducted in two weeks Respondents varied from different industries such as automotive wood andpaper chemical food and beverage etc The results demonstrated that although the respondents areaware of the best practices for a good DM system they generally do not apply them entirely becauseof factors like fear of implementing change and failure to quickly adapt themselves to the change thatwould come with those best practices In addition the results also revealed that forecasting is themost used DM method by the respondents and a simple forecasting average is used to predict futuredemand Depending on the company the forecast is done either by a team or by functional areas

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844216

DOI 101109IEA20188387071

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionThe importance of satisfying the customer by meeting the demand has long been recognized bymanagers as crucial to making the organization successful However numerous problems occurand many factors need to be considered in order to give the customer what they want how theywant it as well as where and when they want it Failure to understand crucial characteristics ofdemand will result in supply shortage or excessive stock that will place serious financial burdenson the organization subsequently leading to a loss of market share and customers

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Eric Bakama MikobiDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

Eveth Nwobodo-AnyadiegwuDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

Charles MbohwaDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

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An integrative framework of knowledgemanagement enabled supply chainmanagement2008 IEEE International Conference onIndustrial Engineering and EngineeringManagementPublished 2008

An empirical approach for the application ofknowledge management on downstream supplychain management of Indian public sector oilcompanies2017 Fourteenth International Conference onWireless and Optical Communications Networks(WOCN)Published 2017

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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

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Conferences gt 2018 5th International Confer

2 Author(s) Shikha Singh Subhas Chandra Misra View All Authors

Core challenges to cloud PLM adoption in large manufacturing firms

60FullText Views

Abstract

Document Sections

I Introduction

II Literature Review

III ResearchMethodology

IV Case Study and DataAnalysis

V Result and Discussion

Show Full Outline

Authors

Figures

References

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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

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AbstractAs the globalization is at its peak and innovative products are at high demand firms are forced to workin a collaborative manner The product data must be lively available to all the collaborated partnersAlthough on-premise Product Lifecycle Management (PLM) systems are offering the collaborationsand product data management throughout the products lifecycle the Internet of Things (IoT) eraoffers more connectivity at a lesser cost Though most large manufacturing firms have established theon-premise PLM systems yet face some difficulties related to maintenance and upgradations of in-house information technology (IT) infrastructure Hence cloud PLM is under consideration foradoption among many large manufacturing firms However there are several challenges associatedwith cloud PLM adoption decision This work intends to find out the challenges which largemanufacturing firms face while deciding to adopt cloud PLM The empirical investigations have beenattempted to find out the relations among the challenges faced and to provide the guideline on how tofind out the core challenges which needs to be attended before adopting cloud PLM in largemanufacturing firms

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844276

DOI 101109IEA20188387085

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionProduct lifecycle management (PLM) systems are the IT tools [1] which support the PLMbusiness concept [2] to manage the whole lifecycle of a product in firms PLM systems help totransform the organizations into digitized era and make them technologically robust by giving a3D product designing and virtual manufacturing opportunity [3] PLM systems help in substantialcost savings by reducing the real manufacturing efforts Product-related knowledge must need tobe preserved so that it can help in the other phases of product lifecycle such as repair overhaulreuse recycle and or disposal of the product Increasing number of enterprise informationsystems stakeholders and product related information demand the need for a managementapproach which makes the managers capable of managing all the dispersed product informationat one common repository for reuse

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Shikha SinghDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India

Subhas Chandra MisraDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India

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The automation of the technological processesin the Manufacturing Internet of Things contextfor the pharmaceutical enterprises2018 IEEE 9th International Conference onDependable Systems Services andTechnologies (DESSERT)Published 2018

Integration of ERP and Internet of Things inIntelligent Enterprise Management2018 1st International Cognitive CitiesConference (IC3)Published 2018

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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|

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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance

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Conferences gt 2018 5th International Confer

3 Author(s) Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong View All Authors

Innovative product development of fabric glass interlayer

39FullText Views

Abstract

Document Sections

I Introduction

II Methodology

III Conclusion

Authors

Figures

References

Keywords

MetricsPublished in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

References

Keywords

Metrics

AbstractA glass manufacturer in Thailand developed the laminated fabric glass as innovative product in 2013but sales had declined in 2016 Customers survey shows that the satisfaction level decreased due tolong production lead time high-selling price and long installation time This paper aims to develop anew innovative fabric glass interlayer product by adopting 5D innovation development process 5Dconsists of Discover Define Design Develop and Deploy Firstly discover phase adopted Five ForcesAnalysis Customer Behavior Analysis and Customers Satisfaction Survey for specifying marketposition and seeking the hidden customers expectations Define is to summarize the project charteras initiation step in the project management and to scope resources and timeframe Design weadopted the integration of QFD Kano Model and Product Quality Index for prioritizing and translatingcustomer expectations to product specifications Then all concepts were concluded by Pugh MatrixWeighted Sum Score and confirmed the selected concept by financial feasibility study Developprocess is to prototyping to verify the production before scale up Finally generated the riskassessment plan by FMEA and contributed the business plan to ensure the effectivecommercialization in Deploy The developed fabric glass interlayer shows higher customer satisfactionlevel by shorten production lead time from 14 days to 8 days (4285) lower price from 790 bahtft to 485 bahtft (3861) and shorten installation time from 180 minutes to 45 minutes (75)

2

2

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844226

DOI 101109IEA20188387141

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionThe case company is one of the glass manufacturers in Thailand who process the fundamentalfunctional building glass tempered and laminated glass for the architectural construction andinterior decoration The companys vision was stated to be the leader of glass innovation within2022 To be the leader of the glass innovation case company should focus on the continuousinnovative product development The mainly innovative product that had been sold for manyyears was the fabric glass as 52 52 and 47 in 2015 2016 and 2017 respectively

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Ploynaplus ThanasirithamDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

Natcha ThawesaengskulthaiDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

Prasert AkkharaprathomphongDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

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Study of a Customer Satisfaction-OrientedModel for Outsourcing Software QualityManagement Using Quality FunctionDeployment (QFD)2008 4th International Conference on WirelessCommunications Networking and MobileComputingPublished 2008

Fuzzy Eco-Design Product Development byUsing Quality Function Deployment2005 4th International Symposium onEnvironmentally Conscious Design and InverseManufacturingPublished 2005

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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|

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Conferences gt 2018 5th International Confer

2 Author(s) Jingying Huang Liya Wang View All Authors

Makespan minimization on single batch-processing machine consideringpreventive maintenance

37FullText Views

Abstract

Document Sections

I Introduction

II Problem Description

III Batching Rule

IV Improved Heuristics

V ComputationalResults andDiscussions

Show Full Outline

Authors

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References

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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

References

Keywords

Metrics

AbstractThis paper considers the problem of minimizing makespan on a single batch-processing machineconsidering preventive maintenance A mathematical model for integrating flexible preventivemaintenance into the batch-processing machine scheduling is proposed A two-stage method isproposed to solve the problem A batching rule considering maintenance is proposed to group jobsinto batches firstly And then we improve existing heuristics to schedule production and maintenanceComputational results indicate that the two-stage method based on proposed batching rule andimproved heuristics is effective

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844275

DOI 101109IEA20188387113

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionBPM (Batch processing machine) problem has attracted many researchers in recent years BPMis able to process a group of jobs as long as the number of jobs in the batch is less than or equalto the capacity of the machine To minimize total flow time Rui Xu [1] proposed an ant colonyalgorithm combined with the candidate list NR Parsa [2] proposed an algorithm using a hybridmax-min ant system AH Kashan [3] proposed a batch based hybrid genetic algorithm thatgenerates random batches of jobs and ensures feasibility To minimize total earliness andtardiness of the jobs NR Parsa [4] proposed a dynamic programming algorithm and severalheuristics BPM problem is practically applied in many manufacturing industries One of them issemiconductor wafer manufacturing industry BPM problem is applied in the furnace area in themanufacturing process of semiconductor wafers The machine is only shared by jobs requiringthe particular processing operation [5] That is in reality only semiconductor wafers with thesame kind of process can be grouped into a batch However the papers above did not take thisconstraint into consideration They assumed the jobs with different processing time can begrouped into the same batches Also the above papers did not consider about maintenancewhen grouping and scheduling jobs

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Jingying HuangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina

Liya WangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina

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ACO-based Parallel Machine SchedulingConsidering Both Setup Time and Run-basedPreventive Maintenance with ReliabilityConstraints2018 IEEE International Conference onIndustrial Engineering and EngineeringManagement (IEEM)Published 2018

MSPT2 Heuristic and Dynamic ProgrammingMethod for the Parallel Machine SchedulingProblem with scheduled PreventiveMaintenance2006 International Conference on ServiceSystems and Service ManagementPublished 2006

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About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|

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KEYNOTE AND INVITE SPEAKERS

Keynote Speech

Keynote Speech ndashI

Abstract of speech

Many products are designed to last longer than

the typical lifespan of human being Its thus a

challenge to validate the design life through

reliability tests even when testing is conducted

under much harsher environment Not only that

test duration is usually constrained but the

samples available for testing may also be costly

andor limited in quantity Statistically optimal

plans will allow for efficient use of testing

resources and yet derive the most information

from the test In this presentation we shall

discuss ideas related to designing test plans for

both constant stress and step stress ALT leading

to the statistical optimal plan for sequential ALT

While that of constant ALT is basically a Bayesian

approach that for the step stress ALT requires

solving a dynamic program using backward

induction For the latter optimal solutions are

only available for exponential lifetime and there

are rooms for further research

Loon Ching TANG

BIO Dr Loon Ching TANG is currently the Director of

Temasek Defence Systems Institute and Professor of

Department of Industrial Systems Engineering and

Management at the National University of Singapore

He obtained his PhD degree from Cornell University in

the field of Operations Research in 1992 and has

published extensively in areas related to industrial

engineering and operations research He has been

presented with a number of best paper awards

including the IIE Transactions 2010 Best Application

Paper Award and 2012 RA EvansPK McElroy Award

for the best paper at Annual RAMS Prof Tang is the

main author of the award-winning book Six Sigma

Advanced Tools for Black Belts and Master Black Belts

Besides being active in the forefront of academic

research in the last 25 years Prof Tang has served as

consultant for many organizations such as the

Ministry of Home Affair Singapore Power Republic of

Singapore Air Force Seagate HP Phillips etc on a

wide range of projects aiming at improving

organizational and operations efficiency especially

through better management of engineering assets He

is currently a fellow of ISEAM the Editor of Quality amp

Reliability Engineering International and an editorial

review board member of the flagship journal of ASQ

Journal of Quality Technology (since 2006) He has

served as the Region VP (Asia) of IIE (2013-16) and a

member of the advisory board of the Singapore

Innovation and Productivity Institute

Apr 26(Thu) 2018 1305-1350

Auditorium Room

ldquoPlanning Sequential Accelerated Life Testingrdquo

Prof Loon Ching TANG

National University of Singapore Singapore

Lenovo
Highlight

Keynote Speech ndashII

George ZHANG

BIO Professor Zhe George Zhang is a professor of

Management Science in the Department of Decision

Sciences at Western Washington University and a

professor of Operations Management in Beedie

School of Business at Simon Fraser University He is

also visiting professor of Sauder School of Business

at the University of British Columbia Dr Zhang

received his BS in Computer Science and MA in

Economics from Nankai University China his MBA

from the Schulich School of Business at York

University and his PhD in Operations research from

the University of Waterloo Professor Zhang has

published many papers in prestigious journals such

as Management Science Operations Research

Manufacturing amp Service Operations Management

Production and Operations Management IIE

Transactions IEEE Transactions Queueing Systems

Journal of Applied Probability Co-authored with

Professor Tian in 2006 he published the research

monograph Vacation Queueing Models - Theory

and Applications the first book on this particular

topic (now highly cited) Professor Zhangs research

interests include queueing theory and applications

and stochastic models for manufacturing and

service systems The main theme of his research is

to bridge the gap between theory and application

obtaining unobservable and sometimes

counter-intuitive but significantpractical

management insights via modeling and quantitative

analysis Currently he is particularly interested in

the quantitative and economic analysis of the

congestion problems in urbanmass transportation

networks healthmedical care systems and public

service systems with both customer service quality

and security concerns As an expert in data analysis

and quantitative modeling he has consulted in

industry and has given research seminars and short

lectures at leading universities around the world He

was invited to present plenary or keynote talks in

several international conferences Professor Zhang

is the one of Editor-in-Chiefs for new journal

Queueing Models and Service Management aan

associate editor of INFOR (Information Systems and

Operations Research) and is on the editorial board

of several international journals in Operations

Research and Management Science

Apr 26(Thu) 2018 1350-1435

Auditorium Room

ldquordquo

Prof George ZHANG

Western Washington University USA

Lenovo
Highlight

Keynote Speech ndashIII

Abstract of speech

The purpose of this paper is to investigate the

generalized age maintenance policies for a system

with random working times When the system fails

it is subject to one of two types of failures with

age-dependent probability type I failure can be

removed by minimal repair and type II failure must

be rectified by replacementA First the system is

preventively replaced before type II failure at time T

or at the completion of Nth working projects

whichever occurs first Two modified models where

the system is preventively replaced before type II

failure at time T or at the completion of Nth

working projects whichever occurs last and it is

preventively replaced at the first completion of the

working project over time T or at the completion of

Nth working projects whichever occurs first are

considered By introducing costs due to repairs

maintenance and replacement the expected cost

per unit time is derived as a criterion of optimality

and the optimal policy that minimizes that cost is

discussed analytically

Shey-Huei SHEU

BIO Professor Shey-Huei Sheu is a Chair Professor

of Department of Statistics and Informatics Science

at the Providence University He is an Honorary

Chair Professor of the Department of Industrial

Management at the National Taiwan University of

Science and Technology He received his MS

degree (1979) in applied mathematics from the

National Tsing Hua University and his PhD degree

(1987) in statistics from the University of Kentucky

He has published in journals such as Naval Research

Logistics Journal of Applied Probability RAIRO

Operations Research Microelectronics and

Reliability Reliability Engineering and System Safety

International Journal of Systems Science Quality

and Reliability Engineering International

International Journal of Reliability Quality and

Safety Engineering Journal of the Operational

Research Society European Journal of the

Operational Research Computers and Operation

Research Computers and Industrial Engineering

Quality Engineering Asia-Pacific Journal of the

Operational Research Communications in

Statistics-Theory and Methods Computers and

Mathematics with Applications Simulation

Modeling Practice and Theory Communications in

Statistics-Simulation and Computation Journal of

Statistical Computation and Simulation

International Journal of Production Economics

Quality Technology and Quantitative Management

The International Journal of Advanced

Manufacturing Technology Expert Systems

International Journal of Computer Mathematics

Journal of Applied Statistics Production Planning

and Control International Journal of Production

Research Applied Mathematical Modelling IEEE

Transactions on Reliability and Annals of

Operations Research

Apr 26(Thu) 2018 1435-1520

Auditorium Room

ldquoThe Generalized Age Maintenance Policies with

Random Working Timesrdquo

Prof Shey-Huei SHEU

Providence University Taiwan

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Highlight

Keynote Speech ndashIV

Abstract of speech

IEEE 80211ah a specification belonging to 80211

wireless local area network (WLAN) protocol family

has been recently released to support the

long-range low-power and low-rate wireless

communication among smart devices used in

Internet of Thing (IoT) systems However security

requirements of the energy-constrained devices

have plenty of issues different from the traditional

wireless devices It requires that the lightweight

security protocols have to support low-power and

low-latency as well as the long-lasting features of

quantities of IoT devices The recently released IEEE

statndard IEEE 80211ai has specified a Fast Initial

Link Setup (FILS) which is a brand-new approach

aiming at establishing fast stable and secure links

among smart devices IEEE 80211ai could be applied

to other wireless systems such as the wireless

system of IEEE 80211ah with security

enhancements In this talk I would address the

secureity issues of IEEE 80211ai and IEEE 80211ah

with an new proposal to enhance the

authentication process in the link setup procedure

specified by IEEE 80211ai

Maode MA

BIO Dr Maode Ma is a Fellow of IET He received his

PhD degree in computer science from Hong Kong

University of Science and Technology in 1999 Now

Dr Ma is an Associate Professor in the School of

Electrical and Electronic Engineering at Nanyang

Technological University in Singapore He has

extensive research interests including network

security and wireless networking Dr Ma has about

350 international academic publications including

over 160 journal papers and about 190 conference

papers He has delivered over 50 keynote speeches

at various international conferences He has served

as various chairs for over 100 international

conferences He currently serves as the

Editor-in-Chief of International Journal of Computer

and Communication Engineering and International

Journal of Electronic Transport He also serves as a

Senior Editor or an Associate Editor for other 4

international academic journals Dr Ma is a Senior

Member of IEEE Communication Society and IEEE

Education Society and a Member of ACM He is the

Chair of the IEEE Education Society Singapore

Chapter and the Chair of the ACM Singapore

Chapter He has served as an IEEE Communication

Society Distinguished Lecturer from 2013-2016

Apr 26(Thu) 2018 1530-1615

Auditorium Room

ldquoEfficient and Secure Authentication Schemes for

IEEE 80211ah Networks rdquo

Prof Maode MA

Nanyang Technological University Singapore

Lenovo
Highlight

Keynote Speech ndashV

Abstract of speech

Stochastic aircraft routing (SAR) plays a critical role

in defining the routing plans of airlines which

include assigning the aircraft to flight legs and

determining the time and location of maintenance

to the aircraft Based on the routing plan specified

by the airlines the maintenance providers should

schedule their workforce to perform maintenance

operations by solving the maintenance staffing

problem (MSP) MSP helps maintenance providers

to build their staffing plans which include the

assignment of manpower to each aircraft so that

aircraft receive the required maintenance

operations as planned Practically for airlines the

routing plan will be interrupted (eg flight delays) if

an aircraft cannot be released from the

maintenance station punctually Similarly for

maintenance providers if an aircraft misses the

scheduled appointment at the maintenance station

this will also cause a huge interruption to their

staffing plan Therefore there is an interrelationship

between SAR and MSP In the literature the focus

of each problem has been traditionally considered

separately with only limited consideration of their

interrelationship In this paper we study SAR along

with MSP with the objective of investigating the

interrelationship between SAR and MSP For this

purpose we propose a coordinated configuration

of SAR and MSP that is formulated as a

leader-follower Stackelbery game in which SAR

acts as a leader and MSP acts as a follower This

game is enacted through a bi-level optimization

model which is solved by a bi-level nested ant

colony optimization (ACO) algorithm A case study

of a major airline and maintenance provider located

in the Middle East is presented to demonstrate the

feasibility and potential of the proposed model The

results demonstrate significant saving in the costs

of both companies

Felix TS CHAN

BIO Professor Felix T S Chan received his BSc

Degree in Mechanical Engineering from Brighton

Polytechnic (now University) UK and obtained his

MSc and PhD in Manufacturing Engineering from

the Imperial College of Science and Technology

University of London UK Professor Chan is now

working at the Department of Industrial and

Systems Engineering The Hong Kong Polytechnic

University and also serving as Associate Dean

(Research) at the Faculty of Engineering His current

research interests are Logistics and Supply Chain

Management Operations Management

Distribution Coordination Systems Modelling and

Simulation AI Optimisation To date he has

published 16 book chapters over 300 refereed

international journal papers and 250 peer reviewed

international conference papers h index= 30 under

the Web of Science He is a chartered member of

the Chartered Institute of Logistics and Transport in

Hong Kong According to a study lately published in

the International Journal of Production Research

(httpdxdoiorg1010800020754320151037935)

the study measured the research contributions over

a 26-year time frame (1985-2010) of academic

institutions and individual authors to the field of

Apr 26(Thu) 2018 1615-1700

Auditorium Room

ldquoInvestigating the Interrelationship between

Stochastic Aircraft Routing of Airlines and

Maintenance Staffing of Maintenance Providersrdquo

Prof Felix TS CHAN

The Hong Kong Polytechnic University Hong Kong

Lenovo
Highlight

Operations Management (OM) based on published

articles in 11 top-rated and well-known academic OM

journals Professor Chan was among the top 50

prolific authors list who have made the greatest

overall contribution to the field as measured by the

number of distributed and shared articles published

in the 11 designated journals Also Professor Chan

was Ranked No 3 in The top 100 authors as the

most productive researchers in the field of

Operations Management over the past 10 years

(2001-2010)

COMMITTEE

ICIEA 2018 Organizing Committee

International Advisory Committee

Zhe George Zhang Western Washington University USA

Conference Chairs

Felix T S Chan The Hong Kong Polytechnic University Hong Kong

Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan

Local Organizing Chair

TANG Loon Ching National University of Singapore Singapore

Organizing and Program Committees

Seoung Bum Kim School of Industrial Mangement Engineering Korea University

Usik Lee Inha University Korea

Maode Ma Nanyang Technological University Singapore

Finance Chair

Minghan Xi Dalian Maritime University China

International Technical Committees

Cheng-Feng HuNational Chiayi University Taiwan

Dong-Yuh YangNational Taipei University of Business Taiwan

Mario HirzGraz University of Technology Austria

Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt

Po-Hsiang Liu College of Business and Management in St Johns University USA

Taesu Cheong Korea University Korea

Tien-Lun Liu Chung Yuan Christian University Taiwan

Wei CaiWuhan University of Technology China

Jinguo Huang Huazhong University of Science and Technology China

Yu-Chung Tsao National Taiwan University of Science Technology Taiwan

Yip Mum WaiTunku Abdul Rahman University College Malaysia

Pule Kholopane University of Johannesburg South Africa

Bonivasius Prasetya Ichtiarto mercu buana university Indonesia

Elita Amrina Andalas University Indonesia

Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan

Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong

Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia

Lenovo
Highlight
Lenovo
Highlight
Lenovo
Highlight
Lenovo
Highlight

Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India

Byung Do Chung Yonsei University Korea

M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia

Sandeep Singhal National Institute of Technology India

J W Wang The University of Hong Kong Hong Kong

Ching-Chang Kuo National Taichung University of Science and Technology Taiwan

Kuo-Hsiung Wang Providence University Taiwan

ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia

Sangbok Lee Hansung University Korea

Adrian E Coronado Mondragon Royal Holloway University of London UK

Chin-I Lee Ling Tung University Taiwan

S H ChoiUniversity of Hong Kong Hong Kong

Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan

Wei Cai Wuhan University of Technology China

Hashibah Hamid Universiti Utara Malaysia Malaysia

TMA Ari Samadhi Bandung Institute of Technology Indonesia

Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia

Pi-Chun Hsu Chaoyang University of Technology Taiwan

Mu-Chen Chen National Chiao Tung University Taiwan

Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan

Tsu-Wei Yu Chaoyang University of Technology Taiwan

Lingyun Wei Beijing University of Posts and Telecommunications China

Hamdi Bashir University of sharjahUnited Arab Emirates

LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand

LIU Hai-peng Kunming University of Science and Technology China

Elfira Febriani Trisakti University Indonesia

Yu-Hsiang Hsiao National Taipei University Taiwan

Chien-Chih Wang Ming Chi University of Technology Taiwan

Atichart Harncharnchai Chiang Mai University Thailand

Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)

Switzerland

Bambang Suhardi Universitas Sebelas Maret Indonesia

Ssu Han Chen Ming Chi University of Technology Taiwan

Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia

Augustina Asih Rumanti Bandung Institute of Technology Indonesia

Maheshwar Dwivedy BML Munjal University India

Zhichuan Guan China university of petroleum (East China) China

Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia

Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia

Yenming J Chen National Kaohsiung University of Science and Technology Taiwan

Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia

TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand

Li Li Nanjing University of Science and Technology China

SERTIFIKAT

Page 15: Nilai Maksimal Prosiding - eprints.undip.ac.ideprints.undip.ac.id/70482/1/...of_GSCM_practice_peer_review_lengkap.pdf · discriminant function as Z= (0.238-IeM) + (0.602-GPU) + (1.161-CCO)

vi

Analysis of Microwave Precipitation in the Topographic Barrier for the Lifting Condensation Level of Clouds

Formation 174

Supawat Kotchapradit Thanaset Thosdeekoraphat Samran Santalunai Chanchai Thongsopa

Improved Efficiency of Insect Pest Control System by SSPA 179

Phanupong Saeung Samran Santalunai Thanaset Thosdeekoraphat Chanchai Thongsopa

Manufacturing Systems

Optimized Information Exchange Process between CAD and CAMmdashEnhanced Data Exchange in the Field of

Joining Technology from the Viewpoint of an Automotive Supplier 184

Alexander Kreis Mario Hirz Severin Stadler

Efficiency Improvement of Door Frame Manufacturing Process in Wood Product Manufacturing Industry

189

Lerdlekha Sriratana

The Structural Design of 3D Print Head and Execution of Printing via the Robotic Arm ABB IRB 140 194

Martin Pollaacutek Jozef Toumlroumlk Jozef Zajac Marek Kočiško Monika Teliškovaacute

Micro-fabrication Method of Au Micro-wire Structures on Substrate by Chemical Printing and Peeling Process

199

Potejana Potejanasak

Evaluation of Thermal Comfort Room Garment Workshop in Textile Vocational School 203

Anastasia Febiyani Bambang Suhardi Eko Pujiyanto

Modular Measuring System for the Force Distribution in Forming Processes 208

W Zorn L Hamm R Elsner W G Drossel

Gravity Filling System of Slurry for Rod Mill Sand with High Concentration and Research on Technical

Transformation in Jinchuan Mine 214

Li Li-Tao Yang Zhi-Qiang Gao Qian Wang Yong-Ding

Defect Reduction in the Board Front Door Trim Manufacturing Process 220

Punyisa Kuendee

Operations Research

Integrated Railway Timetable Scheduling Optimization Model and Rescheduling Recovery Optimization

Model A Systematic Literature Review 226

Erlangga Bayu Setyawan Dida Diah Damayanti

vii

A Comparative Analysis about the Balance Design of the Assembly Line by Branching amp Bound Method and

Lingo Method 231

Jia Shuyuan Huang Li Li Qin Gu Yonghu

The Optimal Routes and Modes Selection in Multimodal Transportation Networks Based on Improved A

Algorithm 236

Yan Liu Lingyun Wei

Industrial Cluster Optimization Based on Linear Programming 241

Roberto Montemanni Jafar Jamal

Multi-objective Joint Optimization of Batch-discrete Hybrid Flow Shop Scheduling Integrated with Machine

Maintenance 247

Yangyang Fei Huimin Ma

Investigating the Interrelationship between Stochastic Aircraft Routing of Airlines and Maintenance Staffing

of Maintenance Providers 254

Felix T S Chan Abdelrahman E E Eltoukhy

An Modified Relax-and-fix Algorithm for the Multi-level Lot-sizing Problem with Replaceablility 262

Mingyuan Wei Yifei Yuan Canrong Zhang

Height-Based Heuristics for Relocating Containers during Loading Operations 268

Yifei Yuan Canrong Zhang Ting Huang

A Record-to-Record Travel Algorithm for Multi-product and Multi-period Inventory Routing Problem 274

Fadillah Ramadhan Arif Imran Afrin Fauzya Rizana

Developing Tabu Search with Intensification and Diversification for the Seriation Problem 279

Pimprapai Thainiam

A Comparative Study of Mixed-Integer Linear Programming and Genetic Algorithms for Solving Binary

Problems 284

Punyisa Kuendee Udom Janjarassuk

Production Planning and Control

Concurrent Optimization of Job Shop Scheduling and Dynamic and Flexible Facility Layout Planning 289

Ryota Kamoshida

Makespan Minimization on Single Batch-processing Machine Considering Preventive Maintenance 294

Jingying Huang Liya Wang

viii

Customer Kansei-Oriented Restaurant Location Evaluation Using Kansei Engineering 299

Yu-Hsiang Hsiao Guan-Ting Chen

An Improvement Scheme for the Overall Line Effectiveness of a Production Line A Case Study 304

Jieli Li Yuhui Jia Binbin Xu Fei Chen Zhaojun Yang Xiaodong Li

An Adjustment Method for Material Inventory Control Decision Considered in Product Life Cycle 310

Jiun-Shiung Lin Jen-Huei Chang i-Yan Yang

Application of a Hidden Markov Model for Consistency Checking of Process Plant Facility Tag NumbersmdashA

Case Study 314

Jayaram Sivaramakrishnan Gareth Lee

Analyzing Circadian Rhythms for Breaktime Schedulling on Night Shift Work 321

Lovely Lady Ansor Firdaus

Resource-Reconfigured Flow Shop Scheduling and Lot-Sizing Problems in Semiconductor Test 326

Yige Zhang Yuangen Lu Cangrong Zhang

Process Flow Improvement in Production of Noise Filter Products through Lean Manufacturing Technique

333

Rattarak Moonpragarn Rungchat Chompu-inwai

Waste Reduction in the Shoe Sewing Factory 340

Pongpat Phetrungrueng

The Joint Replenishment Problem with Resource Restriction A Note 345

M I M Wahab Y Chen

Aggregate Planning in Canned Pineapple Production Lines 349

Datepard Charoenponyarrat Tuanjai Somboonwiwat

Applications of Data Mining

A Research Study on Unsupervised Machine Learning Algorithms for Early Fault Detection in Predictive

Maintenance 355

Nagdev Amruthnath Tarun Gupta

The Analysis of Matching Learners in Pair Programming Using K-Means 362

Naladtaporn Aottiwerch Urachart Kokaew

Machine Learning Based Approach for Demand Forecasting Anti-aircraft Missiles 367

Jaedong Kim Hanjun Lee Soobin Choi

ix

Quality Control and product lifecycle Management

Simultaneous Prediction Interval-Based Multiobjective Solution Approach for Multiple Quality Characteristics

Optimization 373

Abhinav Kumar Sharma Indrajit Mukherjee

The TQM Integration in Procurement Function Performance 378

Bisalyaputra K

Safety Analysis at Weaving Department of PT X Bogor Using Failure Mode and Effect Analysis (FMEA) and

Fault Tree Analysis (FTA) 382

Prima Fithri Nidi Annisa Riva Lusi Susanti Berry Yuliandra

Success Determinants to Product Lifecycle Management (PLM) Performance 386

Shikha Singh Subhas Chandra Misra

Company Performance Measurement for Automobile Companies a Composite Indicator from an

Environmental Perspective 391

Qinqin Zeng Wouter W A Beelaerts van Blokland Sicco C Santema Gabriel Lodewijks

Loss Time Reduction for Improve Overall Equipment Effectiveness (OEE) 396

Kamolchanok Krachangchan Natcha Thawesaengskulthai

Service Innovation and Management

Estimating Diffusion of Technology Using User Perceptual Values A Conceptual Model 401

Chaudry Bilal Ahmad Khan

Implementation of Innovative Digitalization Methods in Reverse Engineering 406

Monika Teliškovaacute Martin Pollaacutek Jozef Toumlroumlk Jakub Kaščaacutek Petr Baron Viktoria Mezencevova

Topological Evolution of Public Transportation Network A Case Study of Bangkok Rail Transit Network 410

Pijaya Na Bangxang Pisit Jarumaneeroj

A Design of Automated Parking System for Shopping Centers in Metro Manila 415

Ma Janice J Gumasing Charles Aaron V Atienza

Design of an Ergonomic Classroom Chair and Desk for Preschool Students of Selected Public Schools in

Cabuyao City Laguna 420

Ezrha C Godilano Mark Kevin G Galang Hazel Elaine O Ramilo Kristian Roi F Velayo

Design of an Ergonomic Wheelbarrow to Reduce Physiological Demands of General Users 424

Ezrha C Godilano Karl Vincent Casas Aubrey Justine Vargas

x

Ergonomic Intervention Addressing Musculoskeletal Disorders among Poultry Layer Workers 429

Ma Janice J Gumasing Rex Aurelius C Robielos

Wristwatch Development Based on Kansei Engineering 435

Imam Djati Widodo Heavy Zerry Novibrilliawan

Innovative Product Development of Fabric Glass Interlayer 440

Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong

Systems Modeling and Simulation

A Simulation Study of Multi-dimensional Clearing Function Considering Degradation for Semiconductor

Manufacturing 448

Jianqiu Huang Jingying Huang Liya Wang

Productivity Improvement of Tapioca Packing Process through Simulation Modeling Analysis 453

Nara Samattapapong

Modelling the Barriers for Mass Adoption of Electric Vehicles in Indian Automotive Sector An Interpretive

Structural Modeling (ISM) Approach 458

Surya Prakash Sameer Sharma Poudel Maheshwar Dwivedy Dilesh Raj Shrestha

Diagnostics of the Wire Coating Production Line by Implementation of Computation Methods 463

Ivan Kuric Miroslav Cisar Ivan Zajacko Tomas Gal

District Model with Two Types of Vehicles for Transporting Sugarcane 468

Rujirat Patcharamethanon Kanchala Sudtachat

Experiment of Induction Heating Application for Heating Multilayer Metallic Hollow Altered Cylinder 475

Jakkarin Srituvanont Thanaset Thosdeekoraphat Chanchai Thongsopa Samran Santalunai

A Framework for Analyzing and Developing Dashboard Templates for Small and Medium Enterprises 479

Wasinee Noonpakdee Thitiporn Khunkornsiri Acharaphun Phothichai Kriangsak Danaisawat

An Economic Order Quantity Model with Continous Quantity Discount and Probabilistic Demand 484

Ardian Rizaldi Ashaeurizky Dilianaputri Fitri A Anugrah Riska Ummaya Senator Nur Bahagia

Technology and Knowledge Management

Analyzing Interdependencies in a Project Portfolio Using Social Network Analysis Metrics 490

Helal Al Zaabi Hamdi Bashir

Sentiment Analysis of Twitter Corpus Related to Artificial Intelligence Assistants 495

Chae Won Park Dae Ryong Seo

xi

Artificial Neural Neural Network Approach for Technology Life Cyle Construction on Patent Data 499

Muhammad Hanif Ramadhan Vialli Ibrahim Malik Teddy Sjafrizal

A Systematic Literature Review on Knowledge Sharing for Innovation Empirical Study Approach 504

Augustina Asih Rumanti T M A Ari Samadhi Iwan Inrawan Wiratmadja Indryati Sunaryo

Belief Representation of Design Mental Model Based on Design Rationale 510

Chen Ying Jing Shikai Wang Yedong Cheng Dada

Study on Teaching Methods of Fundamental Electrical Courses in Engineering Education 515

Jianpei Chen Fei Gao Lingling Kong Lin Cui

Supply Chain Management

Supply Chain Model for Renewable Energy Resource from Biomass in Vietnam 520

Duy Nguyen Duc Narameth Nananukul

Exploring the Implementation of Green Supply Chain with Cluster and Discriminant AnalysismdashCase Study

Furniture Industry at Central Java Semarang 526

Aries Susanty Diana Puspita Sari

Systematic Literature Review and Improved Model for Mitigating Bullwhip Effect in Low Shelf Life Food

Supply Chain 531

Nia Novitasari Dida Diah Damayanti

Supply Chain Management Performance and Partial Least Square-Structural Equation Model An application

to Thai Tourism Supply Chain 536

Daraka Palang Korrakot Yaibuathet Tippayawong

An Economic Competitiveness Analysis of Power Generation Plants 543

Ndala Yves Mulongo Pule Kholopane

Supplier Selection Considering Sustainablitity Criteria by Using A Hybrid Evaluation Method in Printing

Business 548

Onsiree Mananawigapol Chorkaew Jaturanonda Tuanjai Somboonwiwat

Barriers and Drivers of eBIZ Adoption in the Fashion Supply Chain Preliminary Results 555

Bianca Bindi Virginia Fani Romeo Bandinelli Gilda Massa Gessica Ciaccio Arianna Brutti Piero De

Sabbata

A Simulation Analysis on Regional Logistics Development Based on System Dynamics The Case of Yunnan

Province 560

Yinyuan Si Wensheng Yang Huini Zhou

Lenovo
Highlight

xii

A Sustainability Assessment of Electricity Supply Systems 565

Ndala Yves Mulongo Pule Kholopane

Author Index

1040-1210 Friday 27 Apr

Session B-2 Supply Chain Management Venue Lemongrass Room

Chair

N066

Time 1040-1055

A study on Healthcare-product Supply Chain with a group purchasing organization Ms Yin Han Lingyun Wei Beijing University of posts and telecommunications Beijing China

In order to better understand the impact of group purchasing organization (GPO) on healthcare-product supply chain we build a supply chain model consisting of one manufacturer one competitive source one group purchasing organization(GPO) and n healthcare providers for a single product Providers may purchase from any source for minimizing their total costs Through considering different providersrsquo demands power schemes and revenue sharing between GPO and providers we analyze the performance of supply chain and its members under various situations Numerical examples show some interesting findings (1) When GPO dominates the supply chain GPO can obtain more profits (2)When manufacturer dominates the supply chain and GPO shares its revenue with providers there exists specific revenue sharing rates which increase GPOrsquos profits and reduce providersrsquo cost (3) Manufacturer always can achieve a same optimal profit by changing quantity discount rate when GPO dominates supply chain and shares its revenue with providers

N108

Time 1055-1110

Exploring the Implementation of Green Supply Chain with Cluster and Discriminant Analysis Case Study Furniture Industry at Central Java Semarang Dr Aries Susanty Diana Puspitasari Diponegoro Univeristy Indonesia This study has two objectives First this study aims to categorize the level of the implementation of Green Supply Chain Management (GSCM) practice among Small and Medium Enterprises (SMEs) of wooden furniture in several clusters Second this study aims to find the linear combination of five dimensions of GSCM practices that will discriminate best between prior defined clusters The study used primary data through questionnaires enclosed with the Likert scale 1-5 at 162 SMEs of wooden furniture located in Surakarta Jepara Semarang and Kudus The raw data level of implementation of five dimensions of GSCM practice is analyzed using K-Means cluster and discriminant analysis with the aid of the Statistical Package for the Social Sciences (SPSS) software The result of K-Means cluster analysis indicated that a two-cluster is the optimal number of a group for separating the data of the level of implementation of GSSM practice among SMEs of wooden furniture and the two clusters founded in this research are labeled as early adopter and laggards Then the result of the discriminant analysis indicated that as high as 9877 of the SMEs of wooden furniture was classified correctly The result of discriminant analysis also revealed the discriminant function as Z= (0238IEM) + (0602GPU) + (1161CCO) + (1128ECO) + (1126IRE) - 13124 and the threshold for evaluating a discriminant score of

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All Enter keywords or phrases (Note Searches metadata only by default A search for smart grid = smart AND grid)

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Conferences gt 2018 5th International Confer

3 Author(s) Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa View All Authors

Demand management practices in the manufacturing industry An empiricalSouth African perspective

38FullText Views

Abstract

Document Sections

I Introduction

II Literature Review

III Methodology

IV Resultsampinterpretations

V Conclusion

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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

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AbstractThis paper aims to identify and explore Demand Management (DM) practices used within the SouthAfrican Manufacturing industry The study followed a qualitative design approach in order to identifythe relationship between DM methods such as forecasting and the best practices used by therespondents Therefore a purposive sampling technique was used whereby a questionnaire was sentout via email to 15 manufacturing companies before meeting them for a face to face interviewconducted in two weeks Respondents varied from different industries such as automotive wood andpaper chemical food and beverage etc The results demonstrated that although the respondents areaware of the best practices for a good DM system they generally do not apply them entirely becauseof factors like fear of implementing change and failure to quickly adapt themselves to the change thatwould come with those best practices In addition the results also revealed that forecasting is themost used DM method by the respondents and a simple forecasting average is used to predict futuredemand Depending on the company the forecast is done either by a team or by functional areas

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844216

DOI 101109IEA20188387071

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionThe importance of satisfying the customer by meeting the demand has long been recognized bymanagers as crucial to making the organization successful However numerous problems occurand many factors need to be considered in order to give the customer what they want how theywant it as well as where and when they want it Failure to understand crucial characteristics ofdemand will result in supply shortage or excessive stock that will place serious financial burdenson the organization subsequently leading to a loss of market share and customers

Sign in to Continue Reading

Eric Bakama MikobiDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

Eveth Nwobodo-AnyadiegwuDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

Charles MbohwaDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

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Conferences gt 2018 5th International Confer

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Core challenges to cloud PLM adoption in large manufacturing firms

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AbstractAs the globalization is at its peak and innovative products are at high demand firms are forced to workin a collaborative manner The product data must be lively available to all the collaborated partnersAlthough on-premise Product Lifecycle Management (PLM) systems are offering the collaborationsand product data management throughout the products lifecycle the Internet of Things (IoT) eraoffers more connectivity at a lesser cost Though most large manufacturing firms have established theon-premise PLM systems yet face some difficulties related to maintenance and upgradations of in-house information technology (IT) infrastructure Hence cloud PLM is under consideration foradoption among many large manufacturing firms However there are several challenges associatedwith cloud PLM adoption decision This work intends to find out the challenges which largemanufacturing firms face while deciding to adopt cloud PLM The empirical investigations have beenattempted to find out the relations among the challenges faced and to provide the guideline on how tofind out the core challenges which needs to be attended before adopting cloud PLM in largemanufacturing firms

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844276

DOI 101109IEA20188387085

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionProduct lifecycle management (PLM) systems are the IT tools [1] which support the PLMbusiness concept [2] to manage the whole lifecycle of a product in firms PLM systems help totransform the organizations into digitized era and make them technologically robust by giving a3D product designing and virtual manufacturing opportunity [3] PLM systems help in substantialcost savings by reducing the real manufacturing efforts Product-related knowledge must need tobe preserved so that it can help in the other phases of product lifecycle such as repair overhaulreuse recycle and or disposal of the product Increasing number of enterprise informationsystems stakeholders and product related information demand the need for a managementapproach which makes the managers capable of managing all the dispersed product informationat one common repository for reuse

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Shikha SinghDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India

Subhas Chandra MisraDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India

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Conferences gt 2018 5th International Confer

3 Author(s) Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong View All Authors

Innovative product development of fabric glass interlayer

39FullText Views

Abstract

Document Sections

I Introduction

II Methodology

III Conclusion

Authors

Figures

References

Keywords

MetricsPublished in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

References

Keywords

Metrics

AbstractA glass manufacturer in Thailand developed the laminated fabric glass as innovative product in 2013but sales had declined in 2016 Customers survey shows that the satisfaction level decreased due tolong production lead time high-selling price and long installation time This paper aims to develop anew innovative fabric glass interlayer product by adopting 5D innovation development process 5Dconsists of Discover Define Design Develop and Deploy Firstly discover phase adopted Five ForcesAnalysis Customer Behavior Analysis and Customers Satisfaction Survey for specifying marketposition and seeking the hidden customers expectations Define is to summarize the project charteras initiation step in the project management and to scope resources and timeframe Design weadopted the integration of QFD Kano Model and Product Quality Index for prioritizing and translatingcustomer expectations to product specifications Then all concepts were concluded by Pugh MatrixWeighted Sum Score and confirmed the selected concept by financial feasibility study Developprocess is to prototyping to verify the production before scale up Finally generated the riskassessment plan by FMEA and contributed the business plan to ensure the effectivecommercialization in Deploy The developed fabric glass interlayer shows higher customer satisfactionlevel by shorten production lead time from 14 days to 8 days (4285) lower price from 790 bahtft to 485 bahtft (3861) and shorten installation time from 180 minutes to 45 minutes (75)

2

2

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844226

DOI 101109IEA20188387141

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionThe case company is one of the glass manufacturers in Thailand who process the fundamentalfunctional building glass tempered and laminated glass for the architectural construction andinterior decoration The companys vision was stated to be the leader of glass innovation within2022 To be the leader of the glass innovation case company should focus on the continuousinnovative product development The mainly innovative product that had been sold for manyyears was the fabric glass as 52 52 and 47 in 2015 2016 and 2017 respectively

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Ploynaplus ThanasirithamDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

Natcha ThawesaengskulthaiDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

Prasert AkkharaprathomphongDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

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Study of a Customer Satisfaction-OrientedModel for Outsourcing Software QualityManagement Using Quality FunctionDeployment (QFD)2008 4th International Conference on WirelessCommunications Networking and MobileComputingPublished 2008

Fuzzy Eco-Design Product Development byUsing Quality Function Deployment2005 4th International Symposium onEnvironmentally Conscious Design and InverseManufacturingPublished 2005

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Conferences gt 2018 5th International Confer

2 Author(s) Jingying Huang Liya Wang View All Authors

Makespan minimization on single batch-processing machine consideringpreventive maintenance

37FullText Views

Abstract

Document Sections

I Introduction

II Problem Description

III Batching Rule

IV Improved Heuristics

V ComputationalResults andDiscussions

Show Full Outline

Authors

Figures

References

Keywords

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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

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Keywords

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AbstractThis paper considers the problem of minimizing makespan on a single batch-processing machineconsidering preventive maintenance A mathematical model for integrating flexible preventivemaintenance into the batch-processing machine scheduling is proposed A two-stage method isproposed to solve the problem A batching rule considering maintenance is proposed to group jobsinto batches firstly And then we improve existing heuristics to schedule production and maintenanceComputational results indicate that the two-stage method based on proposed batching rule andimproved heuristics is effective

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844275

DOI 101109IEA20188387113

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionBPM (Batch processing machine) problem has attracted many researchers in recent years BPMis able to process a group of jobs as long as the number of jobs in the batch is less than or equalto the capacity of the machine To minimize total flow time Rui Xu [1] proposed an ant colonyalgorithm combined with the candidate list NR Parsa [2] proposed an algorithm using a hybridmax-min ant system AH Kashan [3] proposed a batch based hybrid genetic algorithm thatgenerates random batches of jobs and ensures feasibility To minimize total earliness andtardiness of the jobs NR Parsa [4] proposed a dynamic programming algorithm and severalheuristics BPM problem is practically applied in many manufacturing industries One of them issemiconductor wafer manufacturing industry BPM problem is applied in the furnace area in themanufacturing process of semiconductor wafers The machine is only shared by jobs requiringthe particular processing operation [5] That is in reality only semiconductor wafers with thesame kind of process can be grouped into a batch However the papers above did not take thisconstraint into consideration They assumed the jobs with different processing time can begrouped into the same batches Also the above papers did not consider about maintenancewhen grouping and scheduling jobs

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Jingying HuangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina

Liya WangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina

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ACO-based Parallel Machine SchedulingConsidering Both Setup Time and Run-basedPreventive Maintenance with ReliabilityConstraints2018 IEEE International Conference onIndustrial Engineering and EngineeringManagement (IEEM)Published 2018

MSPT2 Heuristic and Dynamic ProgrammingMethod for the Parallel Machine SchedulingProblem with scheduled PreventiveMaintenance2006 International Conference on ServiceSystems and Service ManagementPublished 2006

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KEYNOTE AND INVITE SPEAKERS

Keynote Speech

Keynote Speech ndashI

Abstract of speech

Many products are designed to last longer than

the typical lifespan of human being Its thus a

challenge to validate the design life through

reliability tests even when testing is conducted

under much harsher environment Not only that

test duration is usually constrained but the

samples available for testing may also be costly

andor limited in quantity Statistically optimal

plans will allow for efficient use of testing

resources and yet derive the most information

from the test In this presentation we shall

discuss ideas related to designing test plans for

both constant stress and step stress ALT leading

to the statistical optimal plan for sequential ALT

While that of constant ALT is basically a Bayesian

approach that for the step stress ALT requires

solving a dynamic program using backward

induction For the latter optimal solutions are

only available for exponential lifetime and there

are rooms for further research

Loon Ching TANG

BIO Dr Loon Ching TANG is currently the Director of

Temasek Defence Systems Institute and Professor of

Department of Industrial Systems Engineering and

Management at the National University of Singapore

He obtained his PhD degree from Cornell University in

the field of Operations Research in 1992 and has

published extensively in areas related to industrial

engineering and operations research He has been

presented with a number of best paper awards

including the IIE Transactions 2010 Best Application

Paper Award and 2012 RA EvansPK McElroy Award

for the best paper at Annual RAMS Prof Tang is the

main author of the award-winning book Six Sigma

Advanced Tools for Black Belts and Master Black Belts

Besides being active in the forefront of academic

research in the last 25 years Prof Tang has served as

consultant for many organizations such as the

Ministry of Home Affair Singapore Power Republic of

Singapore Air Force Seagate HP Phillips etc on a

wide range of projects aiming at improving

organizational and operations efficiency especially

through better management of engineering assets He

is currently a fellow of ISEAM the Editor of Quality amp

Reliability Engineering International and an editorial

review board member of the flagship journal of ASQ

Journal of Quality Technology (since 2006) He has

served as the Region VP (Asia) of IIE (2013-16) and a

member of the advisory board of the Singapore

Innovation and Productivity Institute

Apr 26(Thu) 2018 1305-1350

Auditorium Room

ldquoPlanning Sequential Accelerated Life Testingrdquo

Prof Loon Ching TANG

National University of Singapore Singapore

Lenovo
Highlight

Keynote Speech ndashII

George ZHANG

BIO Professor Zhe George Zhang is a professor of

Management Science in the Department of Decision

Sciences at Western Washington University and a

professor of Operations Management in Beedie

School of Business at Simon Fraser University He is

also visiting professor of Sauder School of Business

at the University of British Columbia Dr Zhang

received his BS in Computer Science and MA in

Economics from Nankai University China his MBA

from the Schulich School of Business at York

University and his PhD in Operations research from

the University of Waterloo Professor Zhang has

published many papers in prestigious journals such

as Management Science Operations Research

Manufacturing amp Service Operations Management

Production and Operations Management IIE

Transactions IEEE Transactions Queueing Systems

Journal of Applied Probability Co-authored with

Professor Tian in 2006 he published the research

monograph Vacation Queueing Models - Theory

and Applications the first book on this particular

topic (now highly cited) Professor Zhangs research

interests include queueing theory and applications

and stochastic models for manufacturing and

service systems The main theme of his research is

to bridge the gap between theory and application

obtaining unobservable and sometimes

counter-intuitive but significantpractical

management insights via modeling and quantitative

analysis Currently he is particularly interested in

the quantitative and economic analysis of the

congestion problems in urbanmass transportation

networks healthmedical care systems and public

service systems with both customer service quality

and security concerns As an expert in data analysis

and quantitative modeling he has consulted in

industry and has given research seminars and short

lectures at leading universities around the world He

was invited to present plenary or keynote talks in

several international conferences Professor Zhang

is the one of Editor-in-Chiefs for new journal

Queueing Models and Service Management aan

associate editor of INFOR (Information Systems and

Operations Research) and is on the editorial board

of several international journals in Operations

Research and Management Science

Apr 26(Thu) 2018 1350-1435

Auditorium Room

ldquordquo

Prof George ZHANG

Western Washington University USA

Lenovo
Highlight

Keynote Speech ndashIII

Abstract of speech

The purpose of this paper is to investigate the

generalized age maintenance policies for a system

with random working times When the system fails

it is subject to one of two types of failures with

age-dependent probability type I failure can be

removed by minimal repair and type II failure must

be rectified by replacementA First the system is

preventively replaced before type II failure at time T

or at the completion of Nth working projects

whichever occurs first Two modified models where

the system is preventively replaced before type II

failure at time T or at the completion of Nth

working projects whichever occurs last and it is

preventively replaced at the first completion of the

working project over time T or at the completion of

Nth working projects whichever occurs first are

considered By introducing costs due to repairs

maintenance and replacement the expected cost

per unit time is derived as a criterion of optimality

and the optimal policy that minimizes that cost is

discussed analytically

Shey-Huei SHEU

BIO Professor Shey-Huei Sheu is a Chair Professor

of Department of Statistics and Informatics Science

at the Providence University He is an Honorary

Chair Professor of the Department of Industrial

Management at the National Taiwan University of

Science and Technology He received his MS

degree (1979) in applied mathematics from the

National Tsing Hua University and his PhD degree

(1987) in statistics from the University of Kentucky

He has published in journals such as Naval Research

Logistics Journal of Applied Probability RAIRO

Operations Research Microelectronics and

Reliability Reliability Engineering and System Safety

International Journal of Systems Science Quality

and Reliability Engineering International

International Journal of Reliability Quality and

Safety Engineering Journal of the Operational

Research Society European Journal of the

Operational Research Computers and Operation

Research Computers and Industrial Engineering

Quality Engineering Asia-Pacific Journal of the

Operational Research Communications in

Statistics-Theory and Methods Computers and

Mathematics with Applications Simulation

Modeling Practice and Theory Communications in

Statistics-Simulation and Computation Journal of

Statistical Computation and Simulation

International Journal of Production Economics

Quality Technology and Quantitative Management

The International Journal of Advanced

Manufacturing Technology Expert Systems

International Journal of Computer Mathematics

Journal of Applied Statistics Production Planning

and Control International Journal of Production

Research Applied Mathematical Modelling IEEE

Transactions on Reliability and Annals of

Operations Research

Apr 26(Thu) 2018 1435-1520

Auditorium Room

ldquoThe Generalized Age Maintenance Policies with

Random Working Timesrdquo

Prof Shey-Huei SHEU

Providence University Taiwan

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Highlight

Keynote Speech ndashIV

Abstract of speech

IEEE 80211ah a specification belonging to 80211

wireless local area network (WLAN) protocol family

has been recently released to support the

long-range low-power and low-rate wireless

communication among smart devices used in

Internet of Thing (IoT) systems However security

requirements of the energy-constrained devices

have plenty of issues different from the traditional

wireless devices It requires that the lightweight

security protocols have to support low-power and

low-latency as well as the long-lasting features of

quantities of IoT devices The recently released IEEE

statndard IEEE 80211ai has specified a Fast Initial

Link Setup (FILS) which is a brand-new approach

aiming at establishing fast stable and secure links

among smart devices IEEE 80211ai could be applied

to other wireless systems such as the wireless

system of IEEE 80211ah with security

enhancements In this talk I would address the

secureity issues of IEEE 80211ai and IEEE 80211ah

with an new proposal to enhance the

authentication process in the link setup procedure

specified by IEEE 80211ai

Maode MA

BIO Dr Maode Ma is a Fellow of IET He received his

PhD degree in computer science from Hong Kong

University of Science and Technology in 1999 Now

Dr Ma is an Associate Professor in the School of

Electrical and Electronic Engineering at Nanyang

Technological University in Singapore He has

extensive research interests including network

security and wireless networking Dr Ma has about

350 international academic publications including

over 160 journal papers and about 190 conference

papers He has delivered over 50 keynote speeches

at various international conferences He has served

as various chairs for over 100 international

conferences He currently serves as the

Editor-in-Chief of International Journal of Computer

and Communication Engineering and International

Journal of Electronic Transport He also serves as a

Senior Editor or an Associate Editor for other 4

international academic journals Dr Ma is a Senior

Member of IEEE Communication Society and IEEE

Education Society and a Member of ACM He is the

Chair of the IEEE Education Society Singapore

Chapter and the Chair of the ACM Singapore

Chapter He has served as an IEEE Communication

Society Distinguished Lecturer from 2013-2016

Apr 26(Thu) 2018 1530-1615

Auditorium Room

ldquoEfficient and Secure Authentication Schemes for

IEEE 80211ah Networks rdquo

Prof Maode MA

Nanyang Technological University Singapore

Lenovo
Highlight

Keynote Speech ndashV

Abstract of speech

Stochastic aircraft routing (SAR) plays a critical role

in defining the routing plans of airlines which

include assigning the aircraft to flight legs and

determining the time and location of maintenance

to the aircraft Based on the routing plan specified

by the airlines the maintenance providers should

schedule their workforce to perform maintenance

operations by solving the maintenance staffing

problem (MSP) MSP helps maintenance providers

to build their staffing plans which include the

assignment of manpower to each aircraft so that

aircraft receive the required maintenance

operations as planned Practically for airlines the

routing plan will be interrupted (eg flight delays) if

an aircraft cannot be released from the

maintenance station punctually Similarly for

maintenance providers if an aircraft misses the

scheduled appointment at the maintenance station

this will also cause a huge interruption to their

staffing plan Therefore there is an interrelationship

between SAR and MSP In the literature the focus

of each problem has been traditionally considered

separately with only limited consideration of their

interrelationship In this paper we study SAR along

with MSP with the objective of investigating the

interrelationship between SAR and MSP For this

purpose we propose a coordinated configuration

of SAR and MSP that is formulated as a

leader-follower Stackelbery game in which SAR

acts as a leader and MSP acts as a follower This

game is enacted through a bi-level optimization

model which is solved by a bi-level nested ant

colony optimization (ACO) algorithm A case study

of a major airline and maintenance provider located

in the Middle East is presented to demonstrate the

feasibility and potential of the proposed model The

results demonstrate significant saving in the costs

of both companies

Felix TS CHAN

BIO Professor Felix T S Chan received his BSc

Degree in Mechanical Engineering from Brighton

Polytechnic (now University) UK and obtained his

MSc and PhD in Manufacturing Engineering from

the Imperial College of Science and Technology

University of London UK Professor Chan is now

working at the Department of Industrial and

Systems Engineering The Hong Kong Polytechnic

University and also serving as Associate Dean

(Research) at the Faculty of Engineering His current

research interests are Logistics and Supply Chain

Management Operations Management

Distribution Coordination Systems Modelling and

Simulation AI Optimisation To date he has

published 16 book chapters over 300 refereed

international journal papers and 250 peer reviewed

international conference papers h index= 30 under

the Web of Science He is a chartered member of

the Chartered Institute of Logistics and Transport in

Hong Kong According to a study lately published in

the International Journal of Production Research

(httpdxdoiorg1010800020754320151037935)

the study measured the research contributions over

a 26-year time frame (1985-2010) of academic

institutions and individual authors to the field of

Apr 26(Thu) 2018 1615-1700

Auditorium Room

ldquoInvestigating the Interrelationship between

Stochastic Aircraft Routing of Airlines and

Maintenance Staffing of Maintenance Providersrdquo

Prof Felix TS CHAN

The Hong Kong Polytechnic University Hong Kong

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Highlight

Operations Management (OM) based on published

articles in 11 top-rated and well-known academic OM

journals Professor Chan was among the top 50

prolific authors list who have made the greatest

overall contribution to the field as measured by the

number of distributed and shared articles published

in the 11 designated journals Also Professor Chan

was Ranked No 3 in The top 100 authors as the

most productive researchers in the field of

Operations Management over the past 10 years

(2001-2010)

COMMITTEE

ICIEA 2018 Organizing Committee

International Advisory Committee

Zhe George Zhang Western Washington University USA

Conference Chairs

Felix T S Chan The Hong Kong Polytechnic University Hong Kong

Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan

Local Organizing Chair

TANG Loon Ching National University of Singapore Singapore

Organizing and Program Committees

Seoung Bum Kim School of Industrial Mangement Engineering Korea University

Usik Lee Inha University Korea

Maode Ma Nanyang Technological University Singapore

Finance Chair

Minghan Xi Dalian Maritime University China

International Technical Committees

Cheng-Feng HuNational Chiayi University Taiwan

Dong-Yuh YangNational Taipei University of Business Taiwan

Mario HirzGraz University of Technology Austria

Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt

Po-Hsiang Liu College of Business and Management in St Johns University USA

Taesu Cheong Korea University Korea

Tien-Lun Liu Chung Yuan Christian University Taiwan

Wei CaiWuhan University of Technology China

Jinguo Huang Huazhong University of Science and Technology China

Yu-Chung Tsao National Taiwan University of Science Technology Taiwan

Yip Mum WaiTunku Abdul Rahman University College Malaysia

Pule Kholopane University of Johannesburg South Africa

Bonivasius Prasetya Ichtiarto mercu buana university Indonesia

Elita Amrina Andalas University Indonesia

Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan

Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong

Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia

Lenovo
Highlight
Lenovo
Highlight
Lenovo
Highlight
Lenovo
Highlight

Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India

Byung Do Chung Yonsei University Korea

M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia

Sandeep Singhal National Institute of Technology India

J W Wang The University of Hong Kong Hong Kong

Ching-Chang Kuo National Taichung University of Science and Technology Taiwan

Kuo-Hsiung Wang Providence University Taiwan

ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia

Sangbok Lee Hansung University Korea

Adrian E Coronado Mondragon Royal Holloway University of London UK

Chin-I Lee Ling Tung University Taiwan

S H ChoiUniversity of Hong Kong Hong Kong

Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan

Wei Cai Wuhan University of Technology China

Hashibah Hamid Universiti Utara Malaysia Malaysia

TMA Ari Samadhi Bandung Institute of Technology Indonesia

Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia

Pi-Chun Hsu Chaoyang University of Technology Taiwan

Mu-Chen Chen National Chiao Tung University Taiwan

Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan

Tsu-Wei Yu Chaoyang University of Technology Taiwan

Lingyun Wei Beijing University of Posts and Telecommunications China

Hamdi Bashir University of sharjahUnited Arab Emirates

LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand

LIU Hai-peng Kunming University of Science and Technology China

Elfira Febriani Trisakti University Indonesia

Yu-Hsiang Hsiao National Taipei University Taiwan

Chien-Chih Wang Ming Chi University of Technology Taiwan

Atichart Harncharnchai Chiang Mai University Thailand

Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)

Switzerland

Bambang Suhardi Universitas Sebelas Maret Indonesia

Ssu Han Chen Ming Chi University of Technology Taiwan

Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia

Augustina Asih Rumanti Bandung Institute of Technology Indonesia

Maheshwar Dwivedy BML Munjal University India

Zhichuan Guan China university of petroleum (East China) China

Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia

Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia

Yenming J Chen National Kaohsiung University of Science and Technology Taiwan

Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia

TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand

Li Li Nanjing University of Science and Technology China

SERTIFIKAT

Page 16: Nilai Maksimal Prosiding - eprints.undip.ac.ideprints.undip.ac.id/70482/1/...of_GSCM_practice_peer_review_lengkap.pdf · discriminant function as Z= (0.238-IeM) + (0.602-GPU) + (1.161-CCO)

vii

A Comparative Analysis about the Balance Design of the Assembly Line by Branching amp Bound Method and

Lingo Method 231

Jia Shuyuan Huang Li Li Qin Gu Yonghu

The Optimal Routes and Modes Selection in Multimodal Transportation Networks Based on Improved A

Algorithm 236

Yan Liu Lingyun Wei

Industrial Cluster Optimization Based on Linear Programming 241

Roberto Montemanni Jafar Jamal

Multi-objective Joint Optimization of Batch-discrete Hybrid Flow Shop Scheduling Integrated with Machine

Maintenance 247

Yangyang Fei Huimin Ma

Investigating the Interrelationship between Stochastic Aircraft Routing of Airlines and Maintenance Staffing

of Maintenance Providers 254

Felix T S Chan Abdelrahman E E Eltoukhy

An Modified Relax-and-fix Algorithm for the Multi-level Lot-sizing Problem with Replaceablility 262

Mingyuan Wei Yifei Yuan Canrong Zhang

Height-Based Heuristics for Relocating Containers during Loading Operations 268

Yifei Yuan Canrong Zhang Ting Huang

A Record-to-Record Travel Algorithm for Multi-product and Multi-period Inventory Routing Problem 274

Fadillah Ramadhan Arif Imran Afrin Fauzya Rizana

Developing Tabu Search with Intensification and Diversification for the Seriation Problem 279

Pimprapai Thainiam

A Comparative Study of Mixed-Integer Linear Programming and Genetic Algorithms for Solving Binary

Problems 284

Punyisa Kuendee Udom Janjarassuk

Production Planning and Control

Concurrent Optimization of Job Shop Scheduling and Dynamic and Flexible Facility Layout Planning 289

Ryota Kamoshida

Makespan Minimization on Single Batch-processing Machine Considering Preventive Maintenance 294

Jingying Huang Liya Wang

viii

Customer Kansei-Oriented Restaurant Location Evaluation Using Kansei Engineering 299

Yu-Hsiang Hsiao Guan-Ting Chen

An Improvement Scheme for the Overall Line Effectiveness of a Production Line A Case Study 304

Jieli Li Yuhui Jia Binbin Xu Fei Chen Zhaojun Yang Xiaodong Li

An Adjustment Method for Material Inventory Control Decision Considered in Product Life Cycle 310

Jiun-Shiung Lin Jen-Huei Chang i-Yan Yang

Application of a Hidden Markov Model for Consistency Checking of Process Plant Facility Tag NumbersmdashA

Case Study 314

Jayaram Sivaramakrishnan Gareth Lee

Analyzing Circadian Rhythms for Breaktime Schedulling on Night Shift Work 321

Lovely Lady Ansor Firdaus

Resource-Reconfigured Flow Shop Scheduling and Lot-Sizing Problems in Semiconductor Test 326

Yige Zhang Yuangen Lu Cangrong Zhang

Process Flow Improvement in Production of Noise Filter Products through Lean Manufacturing Technique

333

Rattarak Moonpragarn Rungchat Chompu-inwai

Waste Reduction in the Shoe Sewing Factory 340

Pongpat Phetrungrueng

The Joint Replenishment Problem with Resource Restriction A Note 345

M I M Wahab Y Chen

Aggregate Planning in Canned Pineapple Production Lines 349

Datepard Charoenponyarrat Tuanjai Somboonwiwat

Applications of Data Mining

A Research Study on Unsupervised Machine Learning Algorithms for Early Fault Detection in Predictive

Maintenance 355

Nagdev Amruthnath Tarun Gupta

The Analysis of Matching Learners in Pair Programming Using K-Means 362

Naladtaporn Aottiwerch Urachart Kokaew

Machine Learning Based Approach for Demand Forecasting Anti-aircraft Missiles 367

Jaedong Kim Hanjun Lee Soobin Choi

ix

Quality Control and product lifecycle Management

Simultaneous Prediction Interval-Based Multiobjective Solution Approach for Multiple Quality Characteristics

Optimization 373

Abhinav Kumar Sharma Indrajit Mukherjee

The TQM Integration in Procurement Function Performance 378

Bisalyaputra K

Safety Analysis at Weaving Department of PT X Bogor Using Failure Mode and Effect Analysis (FMEA) and

Fault Tree Analysis (FTA) 382

Prima Fithri Nidi Annisa Riva Lusi Susanti Berry Yuliandra

Success Determinants to Product Lifecycle Management (PLM) Performance 386

Shikha Singh Subhas Chandra Misra

Company Performance Measurement for Automobile Companies a Composite Indicator from an

Environmental Perspective 391

Qinqin Zeng Wouter W A Beelaerts van Blokland Sicco C Santema Gabriel Lodewijks

Loss Time Reduction for Improve Overall Equipment Effectiveness (OEE) 396

Kamolchanok Krachangchan Natcha Thawesaengskulthai

Service Innovation and Management

Estimating Diffusion of Technology Using User Perceptual Values A Conceptual Model 401

Chaudry Bilal Ahmad Khan

Implementation of Innovative Digitalization Methods in Reverse Engineering 406

Monika Teliškovaacute Martin Pollaacutek Jozef Toumlroumlk Jakub Kaščaacutek Petr Baron Viktoria Mezencevova

Topological Evolution of Public Transportation Network A Case Study of Bangkok Rail Transit Network 410

Pijaya Na Bangxang Pisit Jarumaneeroj

A Design of Automated Parking System for Shopping Centers in Metro Manila 415

Ma Janice J Gumasing Charles Aaron V Atienza

Design of an Ergonomic Classroom Chair and Desk for Preschool Students of Selected Public Schools in

Cabuyao City Laguna 420

Ezrha C Godilano Mark Kevin G Galang Hazel Elaine O Ramilo Kristian Roi F Velayo

Design of an Ergonomic Wheelbarrow to Reduce Physiological Demands of General Users 424

Ezrha C Godilano Karl Vincent Casas Aubrey Justine Vargas

x

Ergonomic Intervention Addressing Musculoskeletal Disorders among Poultry Layer Workers 429

Ma Janice J Gumasing Rex Aurelius C Robielos

Wristwatch Development Based on Kansei Engineering 435

Imam Djati Widodo Heavy Zerry Novibrilliawan

Innovative Product Development of Fabric Glass Interlayer 440

Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong

Systems Modeling and Simulation

A Simulation Study of Multi-dimensional Clearing Function Considering Degradation for Semiconductor

Manufacturing 448

Jianqiu Huang Jingying Huang Liya Wang

Productivity Improvement of Tapioca Packing Process through Simulation Modeling Analysis 453

Nara Samattapapong

Modelling the Barriers for Mass Adoption of Electric Vehicles in Indian Automotive Sector An Interpretive

Structural Modeling (ISM) Approach 458

Surya Prakash Sameer Sharma Poudel Maheshwar Dwivedy Dilesh Raj Shrestha

Diagnostics of the Wire Coating Production Line by Implementation of Computation Methods 463

Ivan Kuric Miroslav Cisar Ivan Zajacko Tomas Gal

District Model with Two Types of Vehicles for Transporting Sugarcane 468

Rujirat Patcharamethanon Kanchala Sudtachat

Experiment of Induction Heating Application for Heating Multilayer Metallic Hollow Altered Cylinder 475

Jakkarin Srituvanont Thanaset Thosdeekoraphat Chanchai Thongsopa Samran Santalunai

A Framework for Analyzing and Developing Dashboard Templates for Small and Medium Enterprises 479

Wasinee Noonpakdee Thitiporn Khunkornsiri Acharaphun Phothichai Kriangsak Danaisawat

An Economic Order Quantity Model with Continous Quantity Discount and Probabilistic Demand 484

Ardian Rizaldi Ashaeurizky Dilianaputri Fitri A Anugrah Riska Ummaya Senator Nur Bahagia

Technology and Knowledge Management

Analyzing Interdependencies in a Project Portfolio Using Social Network Analysis Metrics 490

Helal Al Zaabi Hamdi Bashir

Sentiment Analysis of Twitter Corpus Related to Artificial Intelligence Assistants 495

Chae Won Park Dae Ryong Seo

xi

Artificial Neural Neural Network Approach for Technology Life Cyle Construction on Patent Data 499

Muhammad Hanif Ramadhan Vialli Ibrahim Malik Teddy Sjafrizal

A Systematic Literature Review on Knowledge Sharing for Innovation Empirical Study Approach 504

Augustina Asih Rumanti T M A Ari Samadhi Iwan Inrawan Wiratmadja Indryati Sunaryo

Belief Representation of Design Mental Model Based on Design Rationale 510

Chen Ying Jing Shikai Wang Yedong Cheng Dada

Study on Teaching Methods of Fundamental Electrical Courses in Engineering Education 515

Jianpei Chen Fei Gao Lingling Kong Lin Cui

Supply Chain Management

Supply Chain Model for Renewable Energy Resource from Biomass in Vietnam 520

Duy Nguyen Duc Narameth Nananukul

Exploring the Implementation of Green Supply Chain with Cluster and Discriminant AnalysismdashCase Study

Furniture Industry at Central Java Semarang 526

Aries Susanty Diana Puspita Sari

Systematic Literature Review and Improved Model for Mitigating Bullwhip Effect in Low Shelf Life Food

Supply Chain 531

Nia Novitasari Dida Diah Damayanti

Supply Chain Management Performance and Partial Least Square-Structural Equation Model An application

to Thai Tourism Supply Chain 536

Daraka Palang Korrakot Yaibuathet Tippayawong

An Economic Competitiveness Analysis of Power Generation Plants 543

Ndala Yves Mulongo Pule Kholopane

Supplier Selection Considering Sustainablitity Criteria by Using A Hybrid Evaluation Method in Printing

Business 548

Onsiree Mananawigapol Chorkaew Jaturanonda Tuanjai Somboonwiwat

Barriers and Drivers of eBIZ Adoption in the Fashion Supply Chain Preliminary Results 555

Bianca Bindi Virginia Fani Romeo Bandinelli Gilda Massa Gessica Ciaccio Arianna Brutti Piero De

Sabbata

A Simulation Analysis on Regional Logistics Development Based on System Dynamics The Case of Yunnan

Province 560

Yinyuan Si Wensheng Yang Huini Zhou

Lenovo
Highlight

xii

A Sustainability Assessment of Electricity Supply Systems 565

Ndala Yves Mulongo Pule Kholopane

Author Index

1040-1210 Friday 27 Apr

Session B-2 Supply Chain Management Venue Lemongrass Room

Chair

N066

Time 1040-1055

A study on Healthcare-product Supply Chain with a group purchasing organization Ms Yin Han Lingyun Wei Beijing University of posts and telecommunications Beijing China

In order to better understand the impact of group purchasing organization (GPO) on healthcare-product supply chain we build a supply chain model consisting of one manufacturer one competitive source one group purchasing organization(GPO) and n healthcare providers for a single product Providers may purchase from any source for minimizing their total costs Through considering different providersrsquo demands power schemes and revenue sharing between GPO and providers we analyze the performance of supply chain and its members under various situations Numerical examples show some interesting findings (1) When GPO dominates the supply chain GPO can obtain more profits (2)When manufacturer dominates the supply chain and GPO shares its revenue with providers there exists specific revenue sharing rates which increase GPOrsquos profits and reduce providersrsquo cost (3) Manufacturer always can achieve a same optimal profit by changing quantity discount rate when GPO dominates supply chain and shares its revenue with providers

N108

Time 1055-1110

Exploring the Implementation of Green Supply Chain with Cluster and Discriminant Analysis Case Study Furniture Industry at Central Java Semarang Dr Aries Susanty Diana Puspitasari Diponegoro Univeristy Indonesia This study has two objectives First this study aims to categorize the level of the implementation of Green Supply Chain Management (GSCM) practice among Small and Medium Enterprises (SMEs) of wooden furniture in several clusters Second this study aims to find the linear combination of five dimensions of GSCM practices that will discriminate best between prior defined clusters The study used primary data through questionnaires enclosed with the Likert scale 1-5 at 162 SMEs of wooden furniture located in Surakarta Jepara Semarang and Kudus The raw data level of implementation of five dimensions of GSCM practice is analyzed using K-Means cluster and discriminant analysis with the aid of the Statistical Package for the Social Sciences (SPSS) software The result of K-Means cluster analysis indicated that a two-cluster is the optimal number of a group for separating the data of the level of implementation of GSSM practice among SMEs of wooden furniture and the two clusters founded in this research are labeled as early adopter and laggards Then the result of the discriminant analysis indicated that as high as 9877 of the SMEs of wooden furniture was classified correctly The result of discriminant analysis also revealed the discriminant function as Z= (0238IEM) + (0602GPU) + (1161CCO) + (1128ECO) + (1126IRE) - 13124 and the threshold for evaluating a discriminant score of

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Conferences gt 2018 5th International Confer

3 Author(s) Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa View All Authors

Demand management practices in the manufacturing industry An empiricalSouth African perspective

38FullText Views

Abstract

Document Sections

I Introduction

II Literature Review

III Methodology

IV Resultsampinterpretations

V Conclusion

Authors

Figures

References

Keywords

Metrics

Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

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Keywords

Metrics

AbstractThis paper aims to identify and explore Demand Management (DM) practices used within the SouthAfrican Manufacturing industry The study followed a qualitative design approach in order to identifythe relationship between DM methods such as forecasting and the best practices used by therespondents Therefore a purposive sampling technique was used whereby a questionnaire was sentout via email to 15 manufacturing companies before meeting them for a face to face interviewconducted in two weeks Respondents varied from different industries such as automotive wood andpaper chemical food and beverage etc The results demonstrated that although the respondents areaware of the best practices for a good DM system they generally do not apply them entirely becauseof factors like fear of implementing change and failure to quickly adapt themselves to the change thatwould come with those best practices In addition the results also revealed that forecasting is themost used DM method by the respondents and a simple forecasting average is used to predict futuredemand Depending on the company the forecast is done either by a team or by functional areas

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844216

DOI 101109IEA20188387071

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionThe importance of satisfying the customer by meeting the demand has long been recognized bymanagers as crucial to making the organization successful However numerous problems occurand many factors need to be considered in order to give the customer what they want how theywant it as well as where and when they want it Failure to understand crucial characteristics ofdemand will result in supply shortage or excessive stock that will place serious financial burdenson the organization subsequently leading to a loss of market share and customers

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Eric Bakama MikobiDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

Eveth Nwobodo-AnyadiegwuDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

Charles MbohwaDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

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An integrative framework of knowledgemanagement enabled supply chainmanagement2008 IEEE International Conference onIndustrial Engineering and EngineeringManagementPublished 2008

An empirical approach for the application ofknowledge management on downstream supplychain management of Indian public sector oilcompanies2017 Fourteenth International Conference onWireless and Optical Communications Networks(WOCN)Published 2017

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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

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Conferences gt 2018 5th International Confer

2 Author(s) Shikha Singh Subhas Chandra Misra View All Authors

Core challenges to cloud PLM adoption in large manufacturing firms

60FullText Views

Abstract

Document Sections

I Introduction

II Literature Review

III ResearchMethodology

IV Case Study and DataAnalysis

V Result and Discussion

Show Full Outline

Authors

Figures

References

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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

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AbstractAs the globalization is at its peak and innovative products are at high demand firms are forced to workin a collaborative manner The product data must be lively available to all the collaborated partnersAlthough on-premise Product Lifecycle Management (PLM) systems are offering the collaborationsand product data management throughout the products lifecycle the Internet of Things (IoT) eraoffers more connectivity at a lesser cost Though most large manufacturing firms have established theon-premise PLM systems yet face some difficulties related to maintenance and upgradations of in-house information technology (IT) infrastructure Hence cloud PLM is under consideration foradoption among many large manufacturing firms However there are several challenges associatedwith cloud PLM adoption decision This work intends to find out the challenges which largemanufacturing firms face while deciding to adopt cloud PLM The empirical investigations have beenattempted to find out the relations among the challenges faced and to provide the guideline on how tofind out the core challenges which needs to be attended before adopting cloud PLM in largemanufacturing firms

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844276

DOI 101109IEA20188387085

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionProduct lifecycle management (PLM) systems are the IT tools [1] which support the PLMbusiness concept [2] to manage the whole lifecycle of a product in firms PLM systems help totransform the organizations into digitized era and make them technologically robust by giving a3D product designing and virtual manufacturing opportunity [3] PLM systems help in substantialcost savings by reducing the real manufacturing efforts Product-related knowledge must need tobe preserved so that it can help in the other phases of product lifecycle such as repair overhaulreuse recycle and or disposal of the product Increasing number of enterprise informationsystems stakeholders and product related information demand the need for a managementapproach which makes the managers capable of managing all the dispersed product informationat one common repository for reuse

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Shikha SinghDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India

Subhas Chandra MisraDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India

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The automation of the technological processesin the Manufacturing Internet of Things contextfor the pharmaceutical enterprises2018 IEEE 9th International Conference onDependable Systems Services andTechnologies (DESSERT)Published 2018

Integration of ERP and Internet of Things inIntelligent Enterprise Management2018 1st International Cognitive CitiesConference (IC3)Published 2018

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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|

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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance

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Conferences gt 2018 5th International Confer

3 Author(s) Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong View All Authors

Innovative product development of fabric glass interlayer

39FullText Views

Abstract

Document Sections

I Introduction

II Methodology

III Conclusion

Authors

Figures

References

Keywords

MetricsPublished in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

References

Keywords

Metrics

AbstractA glass manufacturer in Thailand developed the laminated fabric glass as innovative product in 2013but sales had declined in 2016 Customers survey shows that the satisfaction level decreased due tolong production lead time high-selling price and long installation time This paper aims to develop anew innovative fabric glass interlayer product by adopting 5D innovation development process 5Dconsists of Discover Define Design Develop and Deploy Firstly discover phase adopted Five ForcesAnalysis Customer Behavior Analysis and Customers Satisfaction Survey for specifying marketposition and seeking the hidden customers expectations Define is to summarize the project charteras initiation step in the project management and to scope resources and timeframe Design weadopted the integration of QFD Kano Model and Product Quality Index for prioritizing and translatingcustomer expectations to product specifications Then all concepts were concluded by Pugh MatrixWeighted Sum Score and confirmed the selected concept by financial feasibility study Developprocess is to prototyping to verify the production before scale up Finally generated the riskassessment plan by FMEA and contributed the business plan to ensure the effectivecommercialization in Deploy The developed fabric glass interlayer shows higher customer satisfactionlevel by shorten production lead time from 14 days to 8 days (4285) lower price from 790 bahtft to 485 bahtft (3861) and shorten installation time from 180 minutes to 45 minutes (75)

2

2

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844226

DOI 101109IEA20188387141

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionThe case company is one of the glass manufacturers in Thailand who process the fundamentalfunctional building glass tempered and laminated glass for the architectural construction andinterior decoration The companys vision was stated to be the leader of glass innovation within2022 To be the leader of the glass innovation case company should focus on the continuousinnovative product development The mainly innovative product that had been sold for manyyears was the fabric glass as 52 52 and 47 in 2015 2016 and 2017 respectively

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Ploynaplus ThanasirithamDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

Natcha ThawesaengskulthaiDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

Prasert AkkharaprathomphongDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

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Study of a Customer Satisfaction-OrientedModel for Outsourcing Software QualityManagement Using Quality FunctionDeployment (QFD)2008 4th International Conference on WirelessCommunications Networking and MobileComputingPublished 2008

Fuzzy Eco-Design Product Development byUsing Quality Function Deployment2005 4th International Symposium onEnvironmentally Conscious Design and InverseManufacturingPublished 2005

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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|

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Conferences gt 2018 5th International Confer

2 Author(s) Jingying Huang Liya Wang View All Authors

Makespan minimization on single batch-processing machine consideringpreventive maintenance

37FullText Views

Abstract

Document Sections

I Introduction

II Problem Description

III Batching Rule

IV Improved Heuristics

V ComputationalResults andDiscussions

Show Full Outline

Authors

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References

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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

References

Keywords

Metrics

AbstractThis paper considers the problem of minimizing makespan on a single batch-processing machineconsidering preventive maintenance A mathematical model for integrating flexible preventivemaintenance into the batch-processing machine scheduling is proposed A two-stage method isproposed to solve the problem A batching rule considering maintenance is proposed to group jobsinto batches firstly And then we improve existing heuristics to schedule production and maintenanceComputational results indicate that the two-stage method based on proposed batching rule andimproved heuristics is effective

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844275

DOI 101109IEA20188387113

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionBPM (Batch processing machine) problem has attracted many researchers in recent years BPMis able to process a group of jobs as long as the number of jobs in the batch is less than or equalto the capacity of the machine To minimize total flow time Rui Xu [1] proposed an ant colonyalgorithm combined with the candidate list NR Parsa [2] proposed an algorithm using a hybridmax-min ant system AH Kashan [3] proposed a batch based hybrid genetic algorithm thatgenerates random batches of jobs and ensures feasibility To minimize total earliness andtardiness of the jobs NR Parsa [4] proposed a dynamic programming algorithm and severalheuristics BPM problem is practically applied in many manufacturing industries One of them issemiconductor wafer manufacturing industry BPM problem is applied in the furnace area in themanufacturing process of semiconductor wafers The machine is only shared by jobs requiringthe particular processing operation [5] That is in reality only semiconductor wafers with thesame kind of process can be grouped into a batch However the papers above did not take thisconstraint into consideration They assumed the jobs with different processing time can begrouped into the same batches Also the above papers did not consider about maintenancewhen grouping and scheduling jobs

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Jingying HuangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina

Liya WangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina

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ACO-based Parallel Machine SchedulingConsidering Both Setup Time and Run-basedPreventive Maintenance with ReliabilityConstraints2018 IEEE International Conference onIndustrial Engineering and EngineeringManagement (IEEM)Published 2018

MSPT2 Heuristic and Dynamic ProgrammingMethod for the Parallel Machine SchedulingProblem with scheduled PreventiveMaintenance2006 International Conference on ServiceSystems and Service ManagementPublished 2006

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About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|

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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance

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KEYNOTE AND INVITE SPEAKERS

Keynote Speech

Keynote Speech ndashI

Abstract of speech

Many products are designed to last longer than

the typical lifespan of human being Its thus a

challenge to validate the design life through

reliability tests even when testing is conducted

under much harsher environment Not only that

test duration is usually constrained but the

samples available for testing may also be costly

andor limited in quantity Statistically optimal

plans will allow for efficient use of testing

resources and yet derive the most information

from the test In this presentation we shall

discuss ideas related to designing test plans for

both constant stress and step stress ALT leading

to the statistical optimal plan for sequential ALT

While that of constant ALT is basically a Bayesian

approach that for the step stress ALT requires

solving a dynamic program using backward

induction For the latter optimal solutions are

only available for exponential lifetime and there

are rooms for further research

Loon Ching TANG

BIO Dr Loon Ching TANG is currently the Director of

Temasek Defence Systems Institute and Professor of

Department of Industrial Systems Engineering and

Management at the National University of Singapore

He obtained his PhD degree from Cornell University in

the field of Operations Research in 1992 and has

published extensively in areas related to industrial

engineering and operations research He has been

presented with a number of best paper awards

including the IIE Transactions 2010 Best Application

Paper Award and 2012 RA EvansPK McElroy Award

for the best paper at Annual RAMS Prof Tang is the

main author of the award-winning book Six Sigma

Advanced Tools for Black Belts and Master Black Belts

Besides being active in the forefront of academic

research in the last 25 years Prof Tang has served as

consultant for many organizations such as the

Ministry of Home Affair Singapore Power Republic of

Singapore Air Force Seagate HP Phillips etc on a

wide range of projects aiming at improving

organizational and operations efficiency especially

through better management of engineering assets He

is currently a fellow of ISEAM the Editor of Quality amp

Reliability Engineering International and an editorial

review board member of the flagship journal of ASQ

Journal of Quality Technology (since 2006) He has

served as the Region VP (Asia) of IIE (2013-16) and a

member of the advisory board of the Singapore

Innovation and Productivity Institute

Apr 26(Thu) 2018 1305-1350

Auditorium Room

ldquoPlanning Sequential Accelerated Life Testingrdquo

Prof Loon Ching TANG

National University of Singapore Singapore

Lenovo
Highlight

Keynote Speech ndashII

George ZHANG

BIO Professor Zhe George Zhang is a professor of

Management Science in the Department of Decision

Sciences at Western Washington University and a

professor of Operations Management in Beedie

School of Business at Simon Fraser University He is

also visiting professor of Sauder School of Business

at the University of British Columbia Dr Zhang

received his BS in Computer Science and MA in

Economics from Nankai University China his MBA

from the Schulich School of Business at York

University and his PhD in Operations research from

the University of Waterloo Professor Zhang has

published many papers in prestigious journals such

as Management Science Operations Research

Manufacturing amp Service Operations Management

Production and Operations Management IIE

Transactions IEEE Transactions Queueing Systems

Journal of Applied Probability Co-authored with

Professor Tian in 2006 he published the research

monograph Vacation Queueing Models - Theory

and Applications the first book on this particular

topic (now highly cited) Professor Zhangs research

interests include queueing theory and applications

and stochastic models for manufacturing and

service systems The main theme of his research is

to bridge the gap between theory and application

obtaining unobservable and sometimes

counter-intuitive but significantpractical

management insights via modeling and quantitative

analysis Currently he is particularly interested in

the quantitative and economic analysis of the

congestion problems in urbanmass transportation

networks healthmedical care systems and public

service systems with both customer service quality

and security concerns As an expert in data analysis

and quantitative modeling he has consulted in

industry and has given research seminars and short

lectures at leading universities around the world He

was invited to present plenary or keynote talks in

several international conferences Professor Zhang

is the one of Editor-in-Chiefs for new journal

Queueing Models and Service Management aan

associate editor of INFOR (Information Systems and

Operations Research) and is on the editorial board

of several international journals in Operations

Research and Management Science

Apr 26(Thu) 2018 1350-1435

Auditorium Room

ldquordquo

Prof George ZHANG

Western Washington University USA

Lenovo
Highlight

Keynote Speech ndashIII

Abstract of speech

The purpose of this paper is to investigate the

generalized age maintenance policies for a system

with random working times When the system fails

it is subject to one of two types of failures with

age-dependent probability type I failure can be

removed by minimal repair and type II failure must

be rectified by replacementA First the system is

preventively replaced before type II failure at time T

or at the completion of Nth working projects

whichever occurs first Two modified models where

the system is preventively replaced before type II

failure at time T or at the completion of Nth

working projects whichever occurs last and it is

preventively replaced at the first completion of the

working project over time T or at the completion of

Nth working projects whichever occurs first are

considered By introducing costs due to repairs

maintenance and replacement the expected cost

per unit time is derived as a criterion of optimality

and the optimal policy that minimizes that cost is

discussed analytically

Shey-Huei SHEU

BIO Professor Shey-Huei Sheu is a Chair Professor

of Department of Statistics and Informatics Science

at the Providence University He is an Honorary

Chair Professor of the Department of Industrial

Management at the National Taiwan University of

Science and Technology He received his MS

degree (1979) in applied mathematics from the

National Tsing Hua University and his PhD degree

(1987) in statistics from the University of Kentucky

He has published in journals such as Naval Research

Logistics Journal of Applied Probability RAIRO

Operations Research Microelectronics and

Reliability Reliability Engineering and System Safety

International Journal of Systems Science Quality

and Reliability Engineering International

International Journal of Reliability Quality and

Safety Engineering Journal of the Operational

Research Society European Journal of the

Operational Research Computers and Operation

Research Computers and Industrial Engineering

Quality Engineering Asia-Pacific Journal of the

Operational Research Communications in

Statistics-Theory and Methods Computers and

Mathematics with Applications Simulation

Modeling Practice and Theory Communications in

Statistics-Simulation and Computation Journal of

Statistical Computation and Simulation

International Journal of Production Economics

Quality Technology and Quantitative Management

The International Journal of Advanced

Manufacturing Technology Expert Systems

International Journal of Computer Mathematics

Journal of Applied Statistics Production Planning

and Control International Journal of Production

Research Applied Mathematical Modelling IEEE

Transactions on Reliability and Annals of

Operations Research

Apr 26(Thu) 2018 1435-1520

Auditorium Room

ldquoThe Generalized Age Maintenance Policies with

Random Working Timesrdquo

Prof Shey-Huei SHEU

Providence University Taiwan

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Highlight

Keynote Speech ndashIV

Abstract of speech

IEEE 80211ah a specification belonging to 80211

wireless local area network (WLAN) protocol family

has been recently released to support the

long-range low-power and low-rate wireless

communication among smart devices used in

Internet of Thing (IoT) systems However security

requirements of the energy-constrained devices

have plenty of issues different from the traditional

wireless devices It requires that the lightweight

security protocols have to support low-power and

low-latency as well as the long-lasting features of

quantities of IoT devices The recently released IEEE

statndard IEEE 80211ai has specified a Fast Initial

Link Setup (FILS) which is a brand-new approach

aiming at establishing fast stable and secure links

among smart devices IEEE 80211ai could be applied

to other wireless systems such as the wireless

system of IEEE 80211ah with security

enhancements In this talk I would address the

secureity issues of IEEE 80211ai and IEEE 80211ah

with an new proposal to enhance the

authentication process in the link setup procedure

specified by IEEE 80211ai

Maode MA

BIO Dr Maode Ma is a Fellow of IET He received his

PhD degree in computer science from Hong Kong

University of Science and Technology in 1999 Now

Dr Ma is an Associate Professor in the School of

Electrical and Electronic Engineering at Nanyang

Technological University in Singapore He has

extensive research interests including network

security and wireless networking Dr Ma has about

350 international academic publications including

over 160 journal papers and about 190 conference

papers He has delivered over 50 keynote speeches

at various international conferences He has served

as various chairs for over 100 international

conferences He currently serves as the

Editor-in-Chief of International Journal of Computer

and Communication Engineering and International

Journal of Electronic Transport He also serves as a

Senior Editor or an Associate Editor for other 4

international academic journals Dr Ma is a Senior

Member of IEEE Communication Society and IEEE

Education Society and a Member of ACM He is the

Chair of the IEEE Education Society Singapore

Chapter and the Chair of the ACM Singapore

Chapter He has served as an IEEE Communication

Society Distinguished Lecturer from 2013-2016

Apr 26(Thu) 2018 1530-1615

Auditorium Room

ldquoEfficient and Secure Authentication Schemes for

IEEE 80211ah Networks rdquo

Prof Maode MA

Nanyang Technological University Singapore

Lenovo
Highlight

Keynote Speech ndashV

Abstract of speech

Stochastic aircraft routing (SAR) plays a critical role

in defining the routing plans of airlines which

include assigning the aircraft to flight legs and

determining the time and location of maintenance

to the aircraft Based on the routing plan specified

by the airlines the maintenance providers should

schedule their workforce to perform maintenance

operations by solving the maintenance staffing

problem (MSP) MSP helps maintenance providers

to build their staffing plans which include the

assignment of manpower to each aircraft so that

aircraft receive the required maintenance

operations as planned Practically for airlines the

routing plan will be interrupted (eg flight delays) if

an aircraft cannot be released from the

maintenance station punctually Similarly for

maintenance providers if an aircraft misses the

scheduled appointment at the maintenance station

this will also cause a huge interruption to their

staffing plan Therefore there is an interrelationship

between SAR and MSP In the literature the focus

of each problem has been traditionally considered

separately with only limited consideration of their

interrelationship In this paper we study SAR along

with MSP with the objective of investigating the

interrelationship between SAR and MSP For this

purpose we propose a coordinated configuration

of SAR and MSP that is formulated as a

leader-follower Stackelbery game in which SAR

acts as a leader and MSP acts as a follower This

game is enacted through a bi-level optimization

model which is solved by a bi-level nested ant

colony optimization (ACO) algorithm A case study

of a major airline and maintenance provider located

in the Middle East is presented to demonstrate the

feasibility and potential of the proposed model The

results demonstrate significant saving in the costs

of both companies

Felix TS CHAN

BIO Professor Felix T S Chan received his BSc

Degree in Mechanical Engineering from Brighton

Polytechnic (now University) UK and obtained his

MSc and PhD in Manufacturing Engineering from

the Imperial College of Science and Technology

University of London UK Professor Chan is now

working at the Department of Industrial and

Systems Engineering The Hong Kong Polytechnic

University and also serving as Associate Dean

(Research) at the Faculty of Engineering His current

research interests are Logistics and Supply Chain

Management Operations Management

Distribution Coordination Systems Modelling and

Simulation AI Optimisation To date he has

published 16 book chapters over 300 refereed

international journal papers and 250 peer reviewed

international conference papers h index= 30 under

the Web of Science He is a chartered member of

the Chartered Institute of Logistics and Transport in

Hong Kong According to a study lately published in

the International Journal of Production Research

(httpdxdoiorg1010800020754320151037935)

the study measured the research contributions over

a 26-year time frame (1985-2010) of academic

institutions and individual authors to the field of

Apr 26(Thu) 2018 1615-1700

Auditorium Room

ldquoInvestigating the Interrelationship between

Stochastic Aircraft Routing of Airlines and

Maintenance Staffing of Maintenance Providersrdquo

Prof Felix TS CHAN

The Hong Kong Polytechnic University Hong Kong

Lenovo
Highlight

Operations Management (OM) based on published

articles in 11 top-rated and well-known academic OM

journals Professor Chan was among the top 50

prolific authors list who have made the greatest

overall contribution to the field as measured by the

number of distributed and shared articles published

in the 11 designated journals Also Professor Chan

was Ranked No 3 in The top 100 authors as the

most productive researchers in the field of

Operations Management over the past 10 years

(2001-2010)

COMMITTEE

ICIEA 2018 Organizing Committee

International Advisory Committee

Zhe George Zhang Western Washington University USA

Conference Chairs

Felix T S Chan The Hong Kong Polytechnic University Hong Kong

Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan

Local Organizing Chair

TANG Loon Ching National University of Singapore Singapore

Organizing and Program Committees

Seoung Bum Kim School of Industrial Mangement Engineering Korea University

Usik Lee Inha University Korea

Maode Ma Nanyang Technological University Singapore

Finance Chair

Minghan Xi Dalian Maritime University China

International Technical Committees

Cheng-Feng HuNational Chiayi University Taiwan

Dong-Yuh YangNational Taipei University of Business Taiwan

Mario HirzGraz University of Technology Austria

Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt

Po-Hsiang Liu College of Business and Management in St Johns University USA

Taesu Cheong Korea University Korea

Tien-Lun Liu Chung Yuan Christian University Taiwan

Wei CaiWuhan University of Technology China

Jinguo Huang Huazhong University of Science and Technology China

Yu-Chung Tsao National Taiwan University of Science Technology Taiwan

Yip Mum WaiTunku Abdul Rahman University College Malaysia

Pule Kholopane University of Johannesburg South Africa

Bonivasius Prasetya Ichtiarto mercu buana university Indonesia

Elita Amrina Andalas University Indonesia

Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan

Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong

Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia

Lenovo
Highlight
Lenovo
Highlight
Lenovo
Highlight
Lenovo
Highlight

Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India

Byung Do Chung Yonsei University Korea

M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia

Sandeep Singhal National Institute of Technology India

J W Wang The University of Hong Kong Hong Kong

Ching-Chang Kuo National Taichung University of Science and Technology Taiwan

Kuo-Hsiung Wang Providence University Taiwan

ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia

Sangbok Lee Hansung University Korea

Adrian E Coronado Mondragon Royal Holloway University of London UK

Chin-I Lee Ling Tung University Taiwan

S H ChoiUniversity of Hong Kong Hong Kong

Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan

Wei Cai Wuhan University of Technology China

Hashibah Hamid Universiti Utara Malaysia Malaysia

TMA Ari Samadhi Bandung Institute of Technology Indonesia

Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia

Pi-Chun Hsu Chaoyang University of Technology Taiwan

Mu-Chen Chen National Chiao Tung University Taiwan

Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan

Tsu-Wei Yu Chaoyang University of Technology Taiwan

Lingyun Wei Beijing University of Posts and Telecommunications China

Hamdi Bashir University of sharjahUnited Arab Emirates

LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand

LIU Hai-peng Kunming University of Science and Technology China

Elfira Febriani Trisakti University Indonesia

Yu-Hsiang Hsiao National Taipei University Taiwan

Chien-Chih Wang Ming Chi University of Technology Taiwan

Atichart Harncharnchai Chiang Mai University Thailand

Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)

Switzerland

Bambang Suhardi Universitas Sebelas Maret Indonesia

Ssu Han Chen Ming Chi University of Technology Taiwan

Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia

Augustina Asih Rumanti Bandung Institute of Technology Indonesia

Maheshwar Dwivedy BML Munjal University India

Zhichuan Guan China university of petroleum (East China) China

Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia

Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia

Yenming J Chen National Kaohsiung University of Science and Technology Taiwan

Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia

TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand

Li Li Nanjing University of Science and Technology China

SERTIFIKAT

Page 17: Nilai Maksimal Prosiding - eprints.undip.ac.ideprints.undip.ac.id/70482/1/...of_GSCM_practice_peer_review_lengkap.pdf · discriminant function as Z= (0.238-IeM) + (0.602-GPU) + (1.161-CCO)

viii

Customer Kansei-Oriented Restaurant Location Evaluation Using Kansei Engineering 299

Yu-Hsiang Hsiao Guan-Ting Chen

An Improvement Scheme for the Overall Line Effectiveness of a Production Line A Case Study 304

Jieli Li Yuhui Jia Binbin Xu Fei Chen Zhaojun Yang Xiaodong Li

An Adjustment Method for Material Inventory Control Decision Considered in Product Life Cycle 310

Jiun-Shiung Lin Jen-Huei Chang i-Yan Yang

Application of a Hidden Markov Model for Consistency Checking of Process Plant Facility Tag NumbersmdashA

Case Study 314

Jayaram Sivaramakrishnan Gareth Lee

Analyzing Circadian Rhythms for Breaktime Schedulling on Night Shift Work 321

Lovely Lady Ansor Firdaus

Resource-Reconfigured Flow Shop Scheduling and Lot-Sizing Problems in Semiconductor Test 326

Yige Zhang Yuangen Lu Cangrong Zhang

Process Flow Improvement in Production of Noise Filter Products through Lean Manufacturing Technique

333

Rattarak Moonpragarn Rungchat Chompu-inwai

Waste Reduction in the Shoe Sewing Factory 340

Pongpat Phetrungrueng

The Joint Replenishment Problem with Resource Restriction A Note 345

M I M Wahab Y Chen

Aggregate Planning in Canned Pineapple Production Lines 349

Datepard Charoenponyarrat Tuanjai Somboonwiwat

Applications of Data Mining

A Research Study on Unsupervised Machine Learning Algorithms for Early Fault Detection in Predictive

Maintenance 355

Nagdev Amruthnath Tarun Gupta

The Analysis of Matching Learners in Pair Programming Using K-Means 362

Naladtaporn Aottiwerch Urachart Kokaew

Machine Learning Based Approach for Demand Forecasting Anti-aircraft Missiles 367

Jaedong Kim Hanjun Lee Soobin Choi

ix

Quality Control and product lifecycle Management

Simultaneous Prediction Interval-Based Multiobjective Solution Approach for Multiple Quality Characteristics

Optimization 373

Abhinav Kumar Sharma Indrajit Mukherjee

The TQM Integration in Procurement Function Performance 378

Bisalyaputra K

Safety Analysis at Weaving Department of PT X Bogor Using Failure Mode and Effect Analysis (FMEA) and

Fault Tree Analysis (FTA) 382

Prima Fithri Nidi Annisa Riva Lusi Susanti Berry Yuliandra

Success Determinants to Product Lifecycle Management (PLM) Performance 386

Shikha Singh Subhas Chandra Misra

Company Performance Measurement for Automobile Companies a Composite Indicator from an

Environmental Perspective 391

Qinqin Zeng Wouter W A Beelaerts van Blokland Sicco C Santema Gabriel Lodewijks

Loss Time Reduction for Improve Overall Equipment Effectiveness (OEE) 396

Kamolchanok Krachangchan Natcha Thawesaengskulthai

Service Innovation and Management

Estimating Diffusion of Technology Using User Perceptual Values A Conceptual Model 401

Chaudry Bilal Ahmad Khan

Implementation of Innovative Digitalization Methods in Reverse Engineering 406

Monika Teliškovaacute Martin Pollaacutek Jozef Toumlroumlk Jakub Kaščaacutek Petr Baron Viktoria Mezencevova

Topological Evolution of Public Transportation Network A Case Study of Bangkok Rail Transit Network 410

Pijaya Na Bangxang Pisit Jarumaneeroj

A Design of Automated Parking System for Shopping Centers in Metro Manila 415

Ma Janice J Gumasing Charles Aaron V Atienza

Design of an Ergonomic Classroom Chair and Desk for Preschool Students of Selected Public Schools in

Cabuyao City Laguna 420

Ezrha C Godilano Mark Kevin G Galang Hazel Elaine O Ramilo Kristian Roi F Velayo

Design of an Ergonomic Wheelbarrow to Reduce Physiological Demands of General Users 424

Ezrha C Godilano Karl Vincent Casas Aubrey Justine Vargas

x

Ergonomic Intervention Addressing Musculoskeletal Disorders among Poultry Layer Workers 429

Ma Janice J Gumasing Rex Aurelius C Robielos

Wristwatch Development Based on Kansei Engineering 435

Imam Djati Widodo Heavy Zerry Novibrilliawan

Innovative Product Development of Fabric Glass Interlayer 440

Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong

Systems Modeling and Simulation

A Simulation Study of Multi-dimensional Clearing Function Considering Degradation for Semiconductor

Manufacturing 448

Jianqiu Huang Jingying Huang Liya Wang

Productivity Improvement of Tapioca Packing Process through Simulation Modeling Analysis 453

Nara Samattapapong

Modelling the Barriers for Mass Adoption of Electric Vehicles in Indian Automotive Sector An Interpretive

Structural Modeling (ISM) Approach 458

Surya Prakash Sameer Sharma Poudel Maheshwar Dwivedy Dilesh Raj Shrestha

Diagnostics of the Wire Coating Production Line by Implementation of Computation Methods 463

Ivan Kuric Miroslav Cisar Ivan Zajacko Tomas Gal

District Model with Two Types of Vehicles for Transporting Sugarcane 468

Rujirat Patcharamethanon Kanchala Sudtachat

Experiment of Induction Heating Application for Heating Multilayer Metallic Hollow Altered Cylinder 475

Jakkarin Srituvanont Thanaset Thosdeekoraphat Chanchai Thongsopa Samran Santalunai

A Framework for Analyzing and Developing Dashboard Templates for Small and Medium Enterprises 479

Wasinee Noonpakdee Thitiporn Khunkornsiri Acharaphun Phothichai Kriangsak Danaisawat

An Economic Order Quantity Model with Continous Quantity Discount and Probabilistic Demand 484

Ardian Rizaldi Ashaeurizky Dilianaputri Fitri A Anugrah Riska Ummaya Senator Nur Bahagia

Technology and Knowledge Management

Analyzing Interdependencies in a Project Portfolio Using Social Network Analysis Metrics 490

Helal Al Zaabi Hamdi Bashir

Sentiment Analysis of Twitter Corpus Related to Artificial Intelligence Assistants 495

Chae Won Park Dae Ryong Seo

xi

Artificial Neural Neural Network Approach for Technology Life Cyle Construction on Patent Data 499

Muhammad Hanif Ramadhan Vialli Ibrahim Malik Teddy Sjafrizal

A Systematic Literature Review on Knowledge Sharing for Innovation Empirical Study Approach 504

Augustina Asih Rumanti T M A Ari Samadhi Iwan Inrawan Wiratmadja Indryati Sunaryo

Belief Representation of Design Mental Model Based on Design Rationale 510

Chen Ying Jing Shikai Wang Yedong Cheng Dada

Study on Teaching Methods of Fundamental Electrical Courses in Engineering Education 515

Jianpei Chen Fei Gao Lingling Kong Lin Cui

Supply Chain Management

Supply Chain Model for Renewable Energy Resource from Biomass in Vietnam 520

Duy Nguyen Duc Narameth Nananukul

Exploring the Implementation of Green Supply Chain with Cluster and Discriminant AnalysismdashCase Study

Furniture Industry at Central Java Semarang 526

Aries Susanty Diana Puspita Sari

Systematic Literature Review and Improved Model for Mitigating Bullwhip Effect in Low Shelf Life Food

Supply Chain 531

Nia Novitasari Dida Diah Damayanti

Supply Chain Management Performance and Partial Least Square-Structural Equation Model An application

to Thai Tourism Supply Chain 536

Daraka Palang Korrakot Yaibuathet Tippayawong

An Economic Competitiveness Analysis of Power Generation Plants 543

Ndala Yves Mulongo Pule Kholopane

Supplier Selection Considering Sustainablitity Criteria by Using A Hybrid Evaluation Method in Printing

Business 548

Onsiree Mananawigapol Chorkaew Jaturanonda Tuanjai Somboonwiwat

Barriers and Drivers of eBIZ Adoption in the Fashion Supply Chain Preliminary Results 555

Bianca Bindi Virginia Fani Romeo Bandinelli Gilda Massa Gessica Ciaccio Arianna Brutti Piero De

Sabbata

A Simulation Analysis on Regional Logistics Development Based on System Dynamics The Case of Yunnan

Province 560

Yinyuan Si Wensheng Yang Huini Zhou

Lenovo
Highlight

xii

A Sustainability Assessment of Electricity Supply Systems 565

Ndala Yves Mulongo Pule Kholopane

Author Index

1040-1210 Friday 27 Apr

Session B-2 Supply Chain Management Venue Lemongrass Room

Chair

N066

Time 1040-1055

A study on Healthcare-product Supply Chain with a group purchasing organization Ms Yin Han Lingyun Wei Beijing University of posts and telecommunications Beijing China

In order to better understand the impact of group purchasing organization (GPO) on healthcare-product supply chain we build a supply chain model consisting of one manufacturer one competitive source one group purchasing organization(GPO) and n healthcare providers for a single product Providers may purchase from any source for minimizing their total costs Through considering different providersrsquo demands power schemes and revenue sharing between GPO and providers we analyze the performance of supply chain and its members under various situations Numerical examples show some interesting findings (1) When GPO dominates the supply chain GPO can obtain more profits (2)When manufacturer dominates the supply chain and GPO shares its revenue with providers there exists specific revenue sharing rates which increase GPOrsquos profits and reduce providersrsquo cost (3) Manufacturer always can achieve a same optimal profit by changing quantity discount rate when GPO dominates supply chain and shares its revenue with providers

N108

Time 1055-1110

Exploring the Implementation of Green Supply Chain with Cluster and Discriminant Analysis Case Study Furniture Industry at Central Java Semarang Dr Aries Susanty Diana Puspitasari Diponegoro Univeristy Indonesia This study has two objectives First this study aims to categorize the level of the implementation of Green Supply Chain Management (GSCM) practice among Small and Medium Enterprises (SMEs) of wooden furniture in several clusters Second this study aims to find the linear combination of five dimensions of GSCM practices that will discriminate best between prior defined clusters The study used primary data through questionnaires enclosed with the Likert scale 1-5 at 162 SMEs of wooden furniture located in Surakarta Jepara Semarang and Kudus The raw data level of implementation of five dimensions of GSCM practice is analyzed using K-Means cluster and discriminant analysis with the aid of the Statistical Package for the Social Sciences (SPSS) software The result of K-Means cluster analysis indicated that a two-cluster is the optimal number of a group for separating the data of the level of implementation of GSSM practice among SMEs of wooden furniture and the two clusters founded in this research are labeled as early adopter and laggards Then the result of the discriminant analysis indicated that as high as 9877 of the SMEs of wooden furniture was classified correctly The result of discriminant analysis also revealed the discriminant function as Z= (0238IEM) + (0602GPU) + (1161CCO) + (1128ECO) + (1126IRE) - 13124 and the threshold for evaluating a discriminant score of

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Conferences gt 2018 5th International Confer

3 Author(s) Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa View All Authors

Demand management practices in the manufacturing industry An empiricalSouth African perspective

38FullText Views

Abstract

Document Sections

I Introduction

II Literature Review

III Methodology

IV Resultsampinterpretations

V Conclusion

Authors

Figures

References

Keywords

Metrics

Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

References

Keywords

Metrics

AbstractThis paper aims to identify and explore Demand Management (DM) practices used within the SouthAfrican Manufacturing industry The study followed a qualitative design approach in order to identifythe relationship between DM methods such as forecasting and the best practices used by therespondents Therefore a purposive sampling technique was used whereby a questionnaire was sentout via email to 15 manufacturing companies before meeting them for a face to face interviewconducted in two weeks Respondents varied from different industries such as automotive wood andpaper chemical food and beverage etc The results demonstrated that although the respondents areaware of the best practices for a good DM system they generally do not apply them entirely becauseof factors like fear of implementing change and failure to quickly adapt themselves to the change thatwould come with those best practices In addition the results also revealed that forecasting is themost used DM method by the respondents and a simple forecasting average is used to predict futuredemand Depending on the company the forecast is done either by a team or by functional areas

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844216

DOI 101109IEA20188387071

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionThe importance of satisfying the customer by meeting the demand has long been recognized bymanagers as crucial to making the organization successful However numerous problems occurand many factors need to be considered in order to give the customer what they want how theywant it as well as where and when they want it Failure to understand crucial characteristics ofdemand will result in supply shortage or excessive stock that will place serious financial burdenson the organization subsequently leading to a loss of market share and customers

Sign in to Continue Reading

Eric Bakama MikobiDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

Eveth Nwobodo-AnyadiegwuDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

Charles MbohwaDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

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raquo Worldwide +1 732 981 0060

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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|

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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance

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Conferences gt 2018 5th International Confer

2 Author(s) Shikha Singh Subhas Chandra Misra View All Authors

Core challenges to cloud PLM adoption in large manufacturing firms

60FullText Views

Abstract

Document Sections

I Introduction

II Literature Review

III ResearchMethodology

IV Case Study and DataAnalysis

V Result and Discussion

Show Full Outline

Authors

Figures

References

Keywords

Metrics

Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

References

Keywords

Metrics

AbstractAs the globalization is at its peak and innovative products are at high demand firms are forced to workin a collaborative manner The product data must be lively available to all the collaborated partnersAlthough on-premise Product Lifecycle Management (PLM) systems are offering the collaborationsand product data management throughout the products lifecycle the Internet of Things (IoT) eraoffers more connectivity at a lesser cost Though most large manufacturing firms have established theon-premise PLM systems yet face some difficulties related to maintenance and upgradations of in-house information technology (IT) infrastructure Hence cloud PLM is under consideration foradoption among many large manufacturing firms However there are several challenges associatedwith cloud PLM adoption decision This work intends to find out the challenges which largemanufacturing firms face while deciding to adopt cloud PLM The empirical investigations have beenattempted to find out the relations among the challenges faced and to provide the guideline on how tofind out the core challenges which needs to be attended before adopting cloud PLM in largemanufacturing firms

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844276

DOI 101109IEA20188387085

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionProduct lifecycle management (PLM) systems are the IT tools [1] which support the PLMbusiness concept [2] to manage the whole lifecycle of a product in firms PLM systems help totransform the organizations into digitized era and make them technologically robust by giving a3D product designing and virtual manufacturing opportunity [3] PLM systems help in substantialcost savings by reducing the real manufacturing efforts Product-related knowledge must need tobe preserved so that it can help in the other phases of product lifecycle such as repair overhaulreuse recycle and or disposal of the product Increasing number of enterprise informationsystems stakeholders and product related information demand the need for a managementapproach which makes the managers capable of managing all the dispersed product informationat one common repository for reuse

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Shikha SinghDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India

Subhas Chandra MisraDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India

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Advertisement

Click to Expand

See the top organizations patenting intechnologies mentioned in this article

IEEE Account

raquo Change UsernamePassword

raquo Update Address

Purchase Details

raquo Payment Options

raquo Order History

raquo View Purchased Documents

Profile Information

raquo Communications Preferences

raquo Profession and Education

raquo Technical Interests

Need Help

raquo US amp Canada +1 800 678 4333

raquo Worldwide +1 732 981 0060

raquo Contact amp Support

A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|

My Settings Get HelpBrowse Subscribe

Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance

During this time saved searches will not be editable We apologize for any inconvenience

Lenovo
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Institutional Sign In

IEEEorg IEEE Xplore Digital Library| IEEE-SA| IEEE Spectrum| More Sites| Cart (0) Create Account| Personal Sign In|

All Enter keywords or phrases (Note Searches metadata only by default A search for smart grid = smart AND grid)

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Conferences gt 2018 5th International Confer

3 Author(s) Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong View All Authors

Innovative product development of fabric glass interlayer

39FullText Views

Abstract

Document Sections

I Introduction

II Methodology

III Conclusion

Authors

Figures

References

Keywords

MetricsPublished in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

References

Keywords

Metrics

AbstractA glass manufacturer in Thailand developed the laminated fabric glass as innovative product in 2013but sales had declined in 2016 Customers survey shows that the satisfaction level decreased due tolong production lead time high-selling price and long installation time This paper aims to develop anew innovative fabric glass interlayer product by adopting 5D innovation development process 5Dconsists of Discover Define Design Develop and Deploy Firstly discover phase adopted Five ForcesAnalysis Customer Behavior Analysis and Customers Satisfaction Survey for specifying marketposition and seeking the hidden customers expectations Define is to summarize the project charteras initiation step in the project management and to scope resources and timeframe Design weadopted the integration of QFD Kano Model and Product Quality Index for prioritizing and translatingcustomer expectations to product specifications Then all concepts were concluded by Pugh MatrixWeighted Sum Score and confirmed the selected concept by financial feasibility study Developprocess is to prototyping to verify the production before scale up Finally generated the riskassessment plan by FMEA and contributed the business plan to ensure the effectivecommercialization in Deploy The developed fabric glass interlayer shows higher customer satisfactionlevel by shorten production lead time from 14 days to 8 days (4285) lower price from 790 bahtft to 485 bahtft (3861) and shorten installation time from 180 minutes to 45 minutes (75)

2

2

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844226

DOI 101109IEA20188387141

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionThe case company is one of the glass manufacturers in Thailand who process the fundamentalfunctional building glass tempered and laminated glass for the architectural construction andinterior decoration The companys vision was stated to be the leader of glass innovation within2022 To be the leader of the glass innovation case company should focus on the continuousinnovative product development The mainly innovative product that had been sold for manyyears was the fabric glass as 52 52 and 47 in 2015 2016 and 2017 respectively

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Ploynaplus ThanasirithamDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

Natcha ThawesaengskulthaiDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

Prasert AkkharaprathomphongDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

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Conferences gt 2018 5th International Confer

2 Author(s) Jingying Huang Liya Wang View All Authors

Makespan minimization on single batch-processing machine consideringpreventive maintenance

37FullText Views

Abstract

Document Sections

I Introduction

II Problem Description

III Batching Rule

IV Improved Heuristics

V ComputationalResults andDiscussions

Show Full Outline

Authors

Figures

References

Keywords

Metrics

Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

References

Keywords

Metrics

AbstractThis paper considers the problem of minimizing makespan on a single batch-processing machineconsidering preventive maintenance A mathematical model for integrating flexible preventivemaintenance into the batch-processing machine scheduling is proposed A two-stage method isproposed to solve the problem A batching rule considering maintenance is proposed to group jobsinto batches firstly And then we improve existing heuristics to schedule production and maintenanceComputational results indicate that the two-stage method based on proposed batching rule andimproved heuristics is effective

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844275

DOI 101109IEA20188387113

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionBPM (Batch processing machine) problem has attracted many researchers in recent years BPMis able to process a group of jobs as long as the number of jobs in the batch is less than or equalto the capacity of the machine To minimize total flow time Rui Xu [1] proposed an ant colonyalgorithm combined with the candidate list NR Parsa [2] proposed an algorithm using a hybridmax-min ant system AH Kashan [3] proposed a batch based hybrid genetic algorithm thatgenerates random batches of jobs and ensures feasibility To minimize total earliness andtardiness of the jobs NR Parsa [4] proposed a dynamic programming algorithm and severalheuristics BPM problem is practically applied in many manufacturing industries One of them issemiconductor wafer manufacturing industry BPM problem is applied in the furnace area in themanufacturing process of semiconductor wafers The machine is only shared by jobs requiringthe particular processing operation [5] That is in reality only semiconductor wafers with thesame kind of process can be grouped into a batch However the papers above did not take thisconstraint into consideration They assumed the jobs with different processing time can begrouped into the same batches Also the above papers did not consider about maintenancewhen grouping and scheduling jobs

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Jingying HuangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina

Liya WangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina

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raquo Change UsernamePassword

raquo Update Address

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raquo Payment Options

raquo Order History

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Profile Information

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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|

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KEYNOTE AND INVITE SPEAKERS

Keynote Speech

Keynote Speech ndashI

Abstract of speech

Many products are designed to last longer than

the typical lifespan of human being Its thus a

challenge to validate the design life through

reliability tests even when testing is conducted

under much harsher environment Not only that

test duration is usually constrained but the

samples available for testing may also be costly

andor limited in quantity Statistically optimal

plans will allow for efficient use of testing

resources and yet derive the most information

from the test In this presentation we shall

discuss ideas related to designing test plans for

both constant stress and step stress ALT leading

to the statistical optimal plan for sequential ALT

While that of constant ALT is basically a Bayesian

approach that for the step stress ALT requires

solving a dynamic program using backward

induction For the latter optimal solutions are

only available for exponential lifetime and there

are rooms for further research

Loon Ching TANG

BIO Dr Loon Ching TANG is currently the Director of

Temasek Defence Systems Institute and Professor of

Department of Industrial Systems Engineering and

Management at the National University of Singapore

He obtained his PhD degree from Cornell University in

the field of Operations Research in 1992 and has

published extensively in areas related to industrial

engineering and operations research He has been

presented with a number of best paper awards

including the IIE Transactions 2010 Best Application

Paper Award and 2012 RA EvansPK McElroy Award

for the best paper at Annual RAMS Prof Tang is the

main author of the award-winning book Six Sigma

Advanced Tools for Black Belts and Master Black Belts

Besides being active in the forefront of academic

research in the last 25 years Prof Tang has served as

consultant for many organizations such as the

Ministry of Home Affair Singapore Power Republic of

Singapore Air Force Seagate HP Phillips etc on a

wide range of projects aiming at improving

organizational and operations efficiency especially

through better management of engineering assets He

is currently a fellow of ISEAM the Editor of Quality amp

Reliability Engineering International and an editorial

review board member of the flagship journal of ASQ

Journal of Quality Technology (since 2006) He has

served as the Region VP (Asia) of IIE (2013-16) and a

member of the advisory board of the Singapore

Innovation and Productivity Institute

Apr 26(Thu) 2018 1305-1350

Auditorium Room

ldquoPlanning Sequential Accelerated Life Testingrdquo

Prof Loon Ching TANG

National University of Singapore Singapore

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Highlight

Keynote Speech ndashII

George ZHANG

BIO Professor Zhe George Zhang is a professor of

Management Science in the Department of Decision

Sciences at Western Washington University and a

professor of Operations Management in Beedie

School of Business at Simon Fraser University He is

also visiting professor of Sauder School of Business

at the University of British Columbia Dr Zhang

received his BS in Computer Science and MA in

Economics from Nankai University China his MBA

from the Schulich School of Business at York

University and his PhD in Operations research from

the University of Waterloo Professor Zhang has

published many papers in prestigious journals such

as Management Science Operations Research

Manufacturing amp Service Operations Management

Production and Operations Management IIE

Transactions IEEE Transactions Queueing Systems

Journal of Applied Probability Co-authored with

Professor Tian in 2006 he published the research

monograph Vacation Queueing Models - Theory

and Applications the first book on this particular

topic (now highly cited) Professor Zhangs research

interests include queueing theory and applications

and stochastic models for manufacturing and

service systems The main theme of his research is

to bridge the gap between theory and application

obtaining unobservable and sometimes

counter-intuitive but significantpractical

management insights via modeling and quantitative

analysis Currently he is particularly interested in

the quantitative and economic analysis of the

congestion problems in urbanmass transportation

networks healthmedical care systems and public

service systems with both customer service quality

and security concerns As an expert in data analysis

and quantitative modeling he has consulted in

industry and has given research seminars and short

lectures at leading universities around the world He

was invited to present plenary or keynote talks in

several international conferences Professor Zhang

is the one of Editor-in-Chiefs for new journal

Queueing Models and Service Management aan

associate editor of INFOR (Information Systems and

Operations Research) and is on the editorial board

of several international journals in Operations

Research and Management Science

Apr 26(Thu) 2018 1350-1435

Auditorium Room

ldquordquo

Prof George ZHANG

Western Washington University USA

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Keynote Speech ndashIII

Abstract of speech

The purpose of this paper is to investigate the

generalized age maintenance policies for a system

with random working times When the system fails

it is subject to one of two types of failures with

age-dependent probability type I failure can be

removed by minimal repair and type II failure must

be rectified by replacementA First the system is

preventively replaced before type II failure at time T

or at the completion of Nth working projects

whichever occurs first Two modified models where

the system is preventively replaced before type II

failure at time T or at the completion of Nth

working projects whichever occurs last and it is

preventively replaced at the first completion of the

working project over time T or at the completion of

Nth working projects whichever occurs first are

considered By introducing costs due to repairs

maintenance and replacement the expected cost

per unit time is derived as a criterion of optimality

and the optimal policy that minimizes that cost is

discussed analytically

Shey-Huei SHEU

BIO Professor Shey-Huei Sheu is a Chair Professor

of Department of Statistics and Informatics Science

at the Providence University He is an Honorary

Chair Professor of the Department of Industrial

Management at the National Taiwan University of

Science and Technology He received his MS

degree (1979) in applied mathematics from the

National Tsing Hua University and his PhD degree

(1987) in statistics from the University of Kentucky

He has published in journals such as Naval Research

Logistics Journal of Applied Probability RAIRO

Operations Research Microelectronics and

Reliability Reliability Engineering and System Safety

International Journal of Systems Science Quality

and Reliability Engineering International

International Journal of Reliability Quality and

Safety Engineering Journal of the Operational

Research Society European Journal of the

Operational Research Computers and Operation

Research Computers and Industrial Engineering

Quality Engineering Asia-Pacific Journal of the

Operational Research Communications in

Statistics-Theory and Methods Computers and

Mathematics with Applications Simulation

Modeling Practice and Theory Communications in

Statistics-Simulation and Computation Journal of

Statistical Computation and Simulation

International Journal of Production Economics

Quality Technology and Quantitative Management

The International Journal of Advanced

Manufacturing Technology Expert Systems

International Journal of Computer Mathematics

Journal of Applied Statistics Production Planning

and Control International Journal of Production

Research Applied Mathematical Modelling IEEE

Transactions on Reliability and Annals of

Operations Research

Apr 26(Thu) 2018 1435-1520

Auditorium Room

ldquoThe Generalized Age Maintenance Policies with

Random Working Timesrdquo

Prof Shey-Huei SHEU

Providence University Taiwan

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Highlight

Keynote Speech ndashIV

Abstract of speech

IEEE 80211ah a specification belonging to 80211

wireless local area network (WLAN) protocol family

has been recently released to support the

long-range low-power and low-rate wireless

communication among smart devices used in

Internet of Thing (IoT) systems However security

requirements of the energy-constrained devices

have plenty of issues different from the traditional

wireless devices It requires that the lightweight

security protocols have to support low-power and

low-latency as well as the long-lasting features of

quantities of IoT devices The recently released IEEE

statndard IEEE 80211ai has specified a Fast Initial

Link Setup (FILS) which is a brand-new approach

aiming at establishing fast stable and secure links

among smart devices IEEE 80211ai could be applied

to other wireless systems such as the wireless

system of IEEE 80211ah with security

enhancements In this talk I would address the

secureity issues of IEEE 80211ai and IEEE 80211ah

with an new proposal to enhance the

authentication process in the link setup procedure

specified by IEEE 80211ai

Maode MA

BIO Dr Maode Ma is a Fellow of IET He received his

PhD degree in computer science from Hong Kong

University of Science and Technology in 1999 Now

Dr Ma is an Associate Professor in the School of

Electrical and Electronic Engineering at Nanyang

Technological University in Singapore He has

extensive research interests including network

security and wireless networking Dr Ma has about

350 international academic publications including

over 160 journal papers and about 190 conference

papers He has delivered over 50 keynote speeches

at various international conferences He has served

as various chairs for over 100 international

conferences He currently serves as the

Editor-in-Chief of International Journal of Computer

and Communication Engineering and International

Journal of Electronic Transport He also serves as a

Senior Editor or an Associate Editor for other 4

international academic journals Dr Ma is a Senior

Member of IEEE Communication Society and IEEE

Education Society and a Member of ACM He is the

Chair of the IEEE Education Society Singapore

Chapter and the Chair of the ACM Singapore

Chapter He has served as an IEEE Communication

Society Distinguished Lecturer from 2013-2016

Apr 26(Thu) 2018 1530-1615

Auditorium Room

ldquoEfficient and Secure Authentication Schemes for

IEEE 80211ah Networks rdquo

Prof Maode MA

Nanyang Technological University Singapore

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Highlight

Keynote Speech ndashV

Abstract of speech

Stochastic aircraft routing (SAR) plays a critical role

in defining the routing plans of airlines which

include assigning the aircraft to flight legs and

determining the time and location of maintenance

to the aircraft Based on the routing plan specified

by the airlines the maintenance providers should

schedule their workforce to perform maintenance

operations by solving the maintenance staffing

problem (MSP) MSP helps maintenance providers

to build their staffing plans which include the

assignment of manpower to each aircraft so that

aircraft receive the required maintenance

operations as planned Practically for airlines the

routing plan will be interrupted (eg flight delays) if

an aircraft cannot be released from the

maintenance station punctually Similarly for

maintenance providers if an aircraft misses the

scheduled appointment at the maintenance station

this will also cause a huge interruption to their

staffing plan Therefore there is an interrelationship

between SAR and MSP In the literature the focus

of each problem has been traditionally considered

separately with only limited consideration of their

interrelationship In this paper we study SAR along

with MSP with the objective of investigating the

interrelationship between SAR and MSP For this

purpose we propose a coordinated configuration

of SAR and MSP that is formulated as a

leader-follower Stackelbery game in which SAR

acts as a leader and MSP acts as a follower This

game is enacted through a bi-level optimization

model which is solved by a bi-level nested ant

colony optimization (ACO) algorithm A case study

of a major airline and maintenance provider located

in the Middle East is presented to demonstrate the

feasibility and potential of the proposed model The

results demonstrate significant saving in the costs

of both companies

Felix TS CHAN

BIO Professor Felix T S Chan received his BSc

Degree in Mechanical Engineering from Brighton

Polytechnic (now University) UK and obtained his

MSc and PhD in Manufacturing Engineering from

the Imperial College of Science and Technology

University of London UK Professor Chan is now

working at the Department of Industrial and

Systems Engineering The Hong Kong Polytechnic

University and also serving as Associate Dean

(Research) at the Faculty of Engineering His current

research interests are Logistics and Supply Chain

Management Operations Management

Distribution Coordination Systems Modelling and

Simulation AI Optimisation To date he has

published 16 book chapters over 300 refereed

international journal papers and 250 peer reviewed

international conference papers h index= 30 under

the Web of Science He is a chartered member of

the Chartered Institute of Logistics and Transport in

Hong Kong According to a study lately published in

the International Journal of Production Research

(httpdxdoiorg1010800020754320151037935)

the study measured the research contributions over

a 26-year time frame (1985-2010) of academic

institutions and individual authors to the field of

Apr 26(Thu) 2018 1615-1700

Auditorium Room

ldquoInvestigating the Interrelationship between

Stochastic Aircraft Routing of Airlines and

Maintenance Staffing of Maintenance Providersrdquo

Prof Felix TS CHAN

The Hong Kong Polytechnic University Hong Kong

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Highlight

Operations Management (OM) based on published

articles in 11 top-rated and well-known academic OM

journals Professor Chan was among the top 50

prolific authors list who have made the greatest

overall contribution to the field as measured by the

number of distributed and shared articles published

in the 11 designated journals Also Professor Chan

was Ranked No 3 in The top 100 authors as the

most productive researchers in the field of

Operations Management over the past 10 years

(2001-2010)

COMMITTEE

ICIEA 2018 Organizing Committee

International Advisory Committee

Zhe George Zhang Western Washington University USA

Conference Chairs

Felix T S Chan The Hong Kong Polytechnic University Hong Kong

Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan

Local Organizing Chair

TANG Loon Ching National University of Singapore Singapore

Organizing and Program Committees

Seoung Bum Kim School of Industrial Mangement Engineering Korea University

Usik Lee Inha University Korea

Maode Ma Nanyang Technological University Singapore

Finance Chair

Minghan Xi Dalian Maritime University China

International Technical Committees

Cheng-Feng HuNational Chiayi University Taiwan

Dong-Yuh YangNational Taipei University of Business Taiwan

Mario HirzGraz University of Technology Austria

Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt

Po-Hsiang Liu College of Business and Management in St Johns University USA

Taesu Cheong Korea University Korea

Tien-Lun Liu Chung Yuan Christian University Taiwan

Wei CaiWuhan University of Technology China

Jinguo Huang Huazhong University of Science and Technology China

Yu-Chung Tsao National Taiwan University of Science Technology Taiwan

Yip Mum WaiTunku Abdul Rahman University College Malaysia

Pule Kholopane University of Johannesburg South Africa

Bonivasius Prasetya Ichtiarto mercu buana university Indonesia

Elita Amrina Andalas University Indonesia

Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan

Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong

Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia

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Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India

Byung Do Chung Yonsei University Korea

M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia

Sandeep Singhal National Institute of Technology India

J W Wang The University of Hong Kong Hong Kong

Ching-Chang Kuo National Taichung University of Science and Technology Taiwan

Kuo-Hsiung Wang Providence University Taiwan

ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia

Sangbok Lee Hansung University Korea

Adrian E Coronado Mondragon Royal Holloway University of London UK

Chin-I Lee Ling Tung University Taiwan

S H ChoiUniversity of Hong Kong Hong Kong

Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan

Wei Cai Wuhan University of Technology China

Hashibah Hamid Universiti Utara Malaysia Malaysia

TMA Ari Samadhi Bandung Institute of Technology Indonesia

Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia

Pi-Chun Hsu Chaoyang University of Technology Taiwan

Mu-Chen Chen National Chiao Tung University Taiwan

Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan

Tsu-Wei Yu Chaoyang University of Technology Taiwan

Lingyun Wei Beijing University of Posts and Telecommunications China

Hamdi Bashir University of sharjahUnited Arab Emirates

LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand

LIU Hai-peng Kunming University of Science and Technology China

Elfira Febriani Trisakti University Indonesia

Yu-Hsiang Hsiao National Taipei University Taiwan

Chien-Chih Wang Ming Chi University of Technology Taiwan

Atichart Harncharnchai Chiang Mai University Thailand

Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)

Switzerland

Bambang Suhardi Universitas Sebelas Maret Indonesia

Ssu Han Chen Ming Chi University of Technology Taiwan

Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia

Augustina Asih Rumanti Bandung Institute of Technology Indonesia

Maheshwar Dwivedy BML Munjal University India

Zhichuan Guan China university of petroleum (East China) China

Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia

Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia

Yenming J Chen National Kaohsiung University of Science and Technology Taiwan

Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia

TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand

Li Li Nanjing University of Science and Technology China

SERTIFIKAT

Page 18: Nilai Maksimal Prosiding - eprints.undip.ac.ideprints.undip.ac.id/70482/1/...of_GSCM_practice_peer_review_lengkap.pdf · discriminant function as Z= (0.238-IeM) + (0.602-GPU) + (1.161-CCO)

ix

Quality Control and product lifecycle Management

Simultaneous Prediction Interval-Based Multiobjective Solution Approach for Multiple Quality Characteristics

Optimization 373

Abhinav Kumar Sharma Indrajit Mukherjee

The TQM Integration in Procurement Function Performance 378

Bisalyaputra K

Safety Analysis at Weaving Department of PT X Bogor Using Failure Mode and Effect Analysis (FMEA) and

Fault Tree Analysis (FTA) 382

Prima Fithri Nidi Annisa Riva Lusi Susanti Berry Yuliandra

Success Determinants to Product Lifecycle Management (PLM) Performance 386

Shikha Singh Subhas Chandra Misra

Company Performance Measurement for Automobile Companies a Composite Indicator from an

Environmental Perspective 391

Qinqin Zeng Wouter W A Beelaerts van Blokland Sicco C Santema Gabriel Lodewijks

Loss Time Reduction for Improve Overall Equipment Effectiveness (OEE) 396

Kamolchanok Krachangchan Natcha Thawesaengskulthai

Service Innovation and Management

Estimating Diffusion of Technology Using User Perceptual Values A Conceptual Model 401

Chaudry Bilal Ahmad Khan

Implementation of Innovative Digitalization Methods in Reverse Engineering 406

Monika Teliškovaacute Martin Pollaacutek Jozef Toumlroumlk Jakub Kaščaacutek Petr Baron Viktoria Mezencevova

Topological Evolution of Public Transportation Network A Case Study of Bangkok Rail Transit Network 410

Pijaya Na Bangxang Pisit Jarumaneeroj

A Design of Automated Parking System for Shopping Centers in Metro Manila 415

Ma Janice J Gumasing Charles Aaron V Atienza

Design of an Ergonomic Classroom Chair and Desk for Preschool Students of Selected Public Schools in

Cabuyao City Laguna 420

Ezrha C Godilano Mark Kevin G Galang Hazel Elaine O Ramilo Kristian Roi F Velayo

Design of an Ergonomic Wheelbarrow to Reduce Physiological Demands of General Users 424

Ezrha C Godilano Karl Vincent Casas Aubrey Justine Vargas

x

Ergonomic Intervention Addressing Musculoskeletal Disorders among Poultry Layer Workers 429

Ma Janice J Gumasing Rex Aurelius C Robielos

Wristwatch Development Based on Kansei Engineering 435

Imam Djati Widodo Heavy Zerry Novibrilliawan

Innovative Product Development of Fabric Glass Interlayer 440

Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong

Systems Modeling and Simulation

A Simulation Study of Multi-dimensional Clearing Function Considering Degradation for Semiconductor

Manufacturing 448

Jianqiu Huang Jingying Huang Liya Wang

Productivity Improvement of Tapioca Packing Process through Simulation Modeling Analysis 453

Nara Samattapapong

Modelling the Barriers for Mass Adoption of Electric Vehicles in Indian Automotive Sector An Interpretive

Structural Modeling (ISM) Approach 458

Surya Prakash Sameer Sharma Poudel Maheshwar Dwivedy Dilesh Raj Shrestha

Diagnostics of the Wire Coating Production Line by Implementation of Computation Methods 463

Ivan Kuric Miroslav Cisar Ivan Zajacko Tomas Gal

District Model with Two Types of Vehicles for Transporting Sugarcane 468

Rujirat Patcharamethanon Kanchala Sudtachat

Experiment of Induction Heating Application for Heating Multilayer Metallic Hollow Altered Cylinder 475

Jakkarin Srituvanont Thanaset Thosdeekoraphat Chanchai Thongsopa Samran Santalunai

A Framework for Analyzing and Developing Dashboard Templates for Small and Medium Enterprises 479

Wasinee Noonpakdee Thitiporn Khunkornsiri Acharaphun Phothichai Kriangsak Danaisawat

An Economic Order Quantity Model with Continous Quantity Discount and Probabilistic Demand 484

Ardian Rizaldi Ashaeurizky Dilianaputri Fitri A Anugrah Riska Ummaya Senator Nur Bahagia

Technology and Knowledge Management

Analyzing Interdependencies in a Project Portfolio Using Social Network Analysis Metrics 490

Helal Al Zaabi Hamdi Bashir

Sentiment Analysis of Twitter Corpus Related to Artificial Intelligence Assistants 495

Chae Won Park Dae Ryong Seo

xi

Artificial Neural Neural Network Approach for Technology Life Cyle Construction on Patent Data 499

Muhammad Hanif Ramadhan Vialli Ibrahim Malik Teddy Sjafrizal

A Systematic Literature Review on Knowledge Sharing for Innovation Empirical Study Approach 504

Augustina Asih Rumanti T M A Ari Samadhi Iwan Inrawan Wiratmadja Indryati Sunaryo

Belief Representation of Design Mental Model Based on Design Rationale 510

Chen Ying Jing Shikai Wang Yedong Cheng Dada

Study on Teaching Methods of Fundamental Electrical Courses in Engineering Education 515

Jianpei Chen Fei Gao Lingling Kong Lin Cui

Supply Chain Management

Supply Chain Model for Renewable Energy Resource from Biomass in Vietnam 520

Duy Nguyen Duc Narameth Nananukul

Exploring the Implementation of Green Supply Chain with Cluster and Discriminant AnalysismdashCase Study

Furniture Industry at Central Java Semarang 526

Aries Susanty Diana Puspita Sari

Systematic Literature Review and Improved Model for Mitigating Bullwhip Effect in Low Shelf Life Food

Supply Chain 531

Nia Novitasari Dida Diah Damayanti

Supply Chain Management Performance and Partial Least Square-Structural Equation Model An application

to Thai Tourism Supply Chain 536

Daraka Palang Korrakot Yaibuathet Tippayawong

An Economic Competitiveness Analysis of Power Generation Plants 543

Ndala Yves Mulongo Pule Kholopane

Supplier Selection Considering Sustainablitity Criteria by Using A Hybrid Evaluation Method in Printing

Business 548

Onsiree Mananawigapol Chorkaew Jaturanonda Tuanjai Somboonwiwat

Barriers and Drivers of eBIZ Adoption in the Fashion Supply Chain Preliminary Results 555

Bianca Bindi Virginia Fani Romeo Bandinelli Gilda Massa Gessica Ciaccio Arianna Brutti Piero De

Sabbata

A Simulation Analysis on Regional Logistics Development Based on System Dynamics The Case of Yunnan

Province 560

Yinyuan Si Wensheng Yang Huini Zhou

Lenovo
Highlight

xii

A Sustainability Assessment of Electricity Supply Systems 565

Ndala Yves Mulongo Pule Kholopane

Author Index

1040-1210 Friday 27 Apr

Session B-2 Supply Chain Management Venue Lemongrass Room

Chair

N066

Time 1040-1055

A study on Healthcare-product Supply Chain with a group purchasing organization Ms Yin Han Lingyun Wei Beijing University of posts and telecommunications Beijing China

In order to better understand the impact of group purchasing organization (GPO) on healthcare-product supply chain we build a supply chain model consisting of one manufacturer one competitive source one group purchasing organization(GPO) and n healthcare providers for a single product Providers may purchase from any source for minimizing their total costs Through considering different providersrsquo demands power schemes and revenue sharing between GPO and providers we analyze the performance of supply chain and its members under various situations Numerical examples show some interesting findings (1) When GPO dominates the supply chain GPO can obtain more profits (2)When manufacturer dominates the supply chain and GPO shares its revenue with providers there exists specific revenue sharing rates which increase GPOrsquos profits and reduce providersrsquo cost (3) Manufacturer always can achieve a same optimal profit by changing quantity discount rate when GPO dominates supply chain and shares its revenue with providers

N108

Time 1055-1110

Exploring the Implementation of Green Supply Chain with Cluster and Discriminant Analysis Case Study Furniture Industry at Central Java Semarang Dr Aries Susanty Diana Puspitasari Diponegoro Univeristy Indonesia This study has two objectives First this study aims to categorize the level of the implementation of Green Supply Chain Management (GSCM) practice among Small and Medium Enterprises (SMEs) of wooden furniture in several clusters Second this study aims to find the linear combination of five dimensions of GSCM practices that will discriminate best between prior defined clusters The study used primary data through questionnaires enclosed with the Likert scale 1-5 at 162 SMEs of wooden furniture located in Surakarta Jepara Semarang and Kudus The raw data level of implementation of five dimensions of GSCM practice is analyzed using K-Means cluster and discriminant analysis with the aid of the Statistical Package for the Social Sciences (SPSS) software The result of K-Means cluster analysis indicated that a two-cluster is the optimal number of a group for separating the data of the level of implementation of GSSM practice among SMEs of wooden furniture and the two clusters founded in this research are labeled as early adopter and laggards Then the result of the discriminant analysis indicated that as high as 9877 of the SMEs of wooden furniture was classified correctly The result of discriminant analysis also revealed the discriminant function as Z= (0238IEM) + (0602GPU) + (1161CCO) + (1128ECO) + (1126IRE) - 13124 and the threshold for evaluating a discriminant score of

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Conferences gt 2018 5th International Confer

3 Author(s) Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa View All Authors

Demand management practices in the manufacturing industry An empiricalSouth African perspective

38FullText Views

Abstract

Document Sections

I Introduction

II Literature Review

III Methodology

IV Resultsampinterpretations

V Conclusion

Authors

Figures

References

Keywords

Metrics

Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

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Metrics

AbstractThis paper aims to identify and explore Demand Management (DM) practices used within the SouthAfrican Manufacturing industry The study followed a qualitative design approach in order to identifythe relationship between DM methods such as forecasting and the best practices used by therespondents Therefore a purposive sampling technique was used whereby a questionnaire was sentout via email to 15 manufacturing companies before meeting them for a face to face interviewconducted in two weeks Respondents varied from different industries such as automotive wood andpaper chemical food and beverage etc The results demonstrated that although the respondents areaware of the best practices for a good DM system they generally do not apply them entirely becauseof factors like fear of implementing change and failure to quickly adapt themselves to the change thatwould come with those best practices In addition the results also revealed that forecasting is themost used DM method by the respondents and a simple forecasting average is used to predict futuredemand Depending on the company the forecast is done either by a team or by functional areas

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844216

DOI 101109IEA20188387071

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionThe importance of satisfying the customer by meeting the demand has long been recognized bymanagers as crucial to making the organization successful However numerous problems occurand many factors need to be considered in order to give the customer what they want how theywant it as well as where and when they want it Failure to understand crucial characteristics ofdemand will result in supply shortage or excessive stock that will place serious financial burdenson the organization subsequently leading to a loss of market share and customers

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Eric Bakama MikobiDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

Eveth Nwobodo-AnyadiegwuDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

Charles MbohwaDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

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An integrative framework of knowledgemanagement enabled supply chainmanagement2008 IEEE International Conference onIndustrial Engineering and EngineeringManagementPublished 2008

An empirical approach for the application ofknowledge management on downstream supplychain management of Indian public sector oilcompanies2017 Fourteenth International Conference onWireless and Optical Communications Networks(WOCN)Published 2017

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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

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Conferences gt 2018 5th International Confer

2 Author(s) Shikha Singh Subhas Chandra Misra View All Authors

Core challenges to cloud PLM adoption in large manufacturing firms

60FullText Views

Abstract

Document Sections

I Introduction

II Literature Review

III ResearchMethodology

IV Case Study and DataAnalysis

V Result and Discussion

Show Full Outline

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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

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AbstractAs the globalization is at its peak and innovative products are at high demand firms are forced to workin a collaborative manner The product data must be lively available to all the collaborated partnersAlthough on-premise Product Lifecycle Management (PLM) systems are offering the collaborationsand product data management throughout the products lifecycle the Internet of Things (IoT) eraoffers more connectivity at a lesser cost Though most large manufacturing firms have established theon-premise PLM systems yet face some difficulties related to maintenance and upgradations of in-house information technology (IT) infrastructure Hence cloud PLM is under consideration foradoption among many large manufacturing firms However there are several challenges associatedwith cloud PLM adoption decision This work intends to find out the challenges which largemanufacturing firms face while deciding to adopt cloud PLM The empirical investigations have beenattempted to find out the relations among the challenges faced and to provide the guideline on how tofind out the core challenges which needs to be attended before adopting cloud PLM in largemanufacturing firms

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844276

DOI 101109IEA20188387085

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionProduct lifecycle management (PLM) systems are the IT tools [1] which support the PLMbusiness concept [2] to manage the whole lifecycle of a product in firms PLM systems help totransform the organizations into digitized era and make them technologically robust by giving a3D product designing and virtual manufacturing opportunity [3] PLM systems help in substantialcost savings by reducing the real manufacturing efforts Product-related knowledge must need tobe preserved so that it can help in the other phases of product lifecycle such as repair overhaulreuse recycle and or disposal of the product Increasing number of enterprise informationsystems stakeholders and product related information demand the need for a managementapproach which makes the managers capable of managing all the dispersed product informationat one common repository for reuse

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Shikha SinghDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India

Subhas Chandra MisraDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India

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The automation of the technological processesin the Manufacturing Internet of Things contextfor the pharmaceutical enterprises2018 IEEE 9th International Conference onDependable Systems Services andTechnologies (DESSERT)Published 2018

Integration of ERP and Internet of Things inIntelligent Enterprise Management2018 1st International Cognitive CitiesConference (IC3)Published 2018

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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

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Conferences gt 2018 5th International Confer

3 Author(s) Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong View All Authors

Innovative product development of fabric glass interlayer

39FullText Views

Abstract

Document Sections

I Introduction

II Methodology

III Conclusion

Authors

Figures

References

Keywords

MetricsPublished in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

References

Keywords

Metrics

AbstractA glass manufacturer in Thailand developed the laminated fabric glass as innovative product in 2013but sales had declined in 2016 Customers survey shows that the satisfaction level decreased due tolong production lead time high-selling price and long installation time This paper aims to develop anew innovative fabric glass interlayer product by adopting 5D innovation development process 5Dconsists of Discover Define Design Develop and Deploy Firstly discover phase adopted Five ForcesAnalysis Customer Behavior Analysis and Customers Satisfaction Survey for specifying marketposition and seeking the hidden customers expectations Define is to summarize the project charteras initiation step in the project management and to scope resources and timeframe Design weadopted the integration of QFD Kano Model and Product Quality Index for prioritizing and translatingcustomer expectations to product specifications Then all concepts were concluded by Pugh MatrixWeighted Sum Score and confirmed the selected concept by financial feasibility study Developprocess is to prototyping to verify the production before scale up Finally generated the riskassessment plan by FMEA and contributed the business plan to ensure the effectivecommercialization in Deploy The developed fabric glass interlayer shows higher customer satisfactionlevel by shorten production lead time from 14 days to 8 days (4285) lower price from 790 bahtft to 485 bahtft (3861) and shorten installation time from 180 minutes to 45 minutes (75)

2

2

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844226

DOI 101109IEA20188387141

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionThe case company is one of the glass manufacturers in Thailand who process the fundamentalfunctional building glass tempered and laminated glass for the architectural construction andinterior decoration The companys vision was stated to be the leader of glass innovation within2022 To be the leader of the glass innovation case company should focus on the continuousinnovative product development The mainly innovative product that had been sold for manyyears was the fabric glass as 52 52 and 47 in 2015 2016 and 2017 respectively

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Ploynaplus ThanasirithamDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

Natcha ThawesaengskulthaiDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

Prasert AkkharaprathomphongDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

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Study of a Customer Satisfaction-OrientedModel for Outsourcing Software QualityManagement Using Quality FunctionDeployment (QFD)2008 4th International Conference on WirelessCommunications Networking and MobileComputingPublished 2008

Fuzzy Eco-Design Product Development byUsing Quality Function Deployment2005 4th International Symposium onEnvironmentally Conscious Design and InverseManufacturingPublished 2005

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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

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Conferences gt 2018 5th International Confer

2 Author(s) Jingying Huang Liya Wang View All Authors

Makespan minimization on single batch-processing machine consideringpreventive maintenance

37FullText Views

Abstract

Document Sections

I Introduction

II Problem Description

III Batching Rule

IV Improved Heuristics

V ComputationalResults andDiscussions

Show Full Outline

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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

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AbstractThis paper considers the problem of minimizing makespan on a single batch-processing machineconsidering preventive maintenance A mathematical model for integrating flexible preventivemaintenance into the batch-processing machine scheduling is proposed A two-stage method isproposed to solve the problem A batching rule considering maintenance is proposed to group jobsinto batches firstly And then we improve existing heuristics to schedule production and maintenanceComputational results indicate that the two-stage method based on proposed batching rule andimproved heuristics is effective

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844275

DOI 101109IEA20188387113

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionBPM (Batch processing machine) problem has attracted many researchers in recent years BPMis able to process a group of jobs as long as the number of jobs in the batch is less than or equalto the capacity of the machine To minimize total flow time Rui Xu [1] proposed an ant colonyalgorithm combined with the candidate list NR Parsa [2] proposed an algorithm using a hybridmax-min ant system AH Kashan [3] proposed a batch based hybrid genetic algorithm thatgenerates random batches of jobs and ensures feasibility To minimize total earliness andtardiness of the jobs NR Parsa [4] proposed a dynamic programming algorithm and severalheuristics BPM problem is practically applied in many manufacturing industries One of them issemiconductor wafer manufacturing industry BPM problem is applied in the furnace area in themanufacturing process of semiconductor wafers The machine is only shared by jobs requiringthe particular processing operation [5] That is in reality only semiconductor wafers with thesame kind of process can be grouped into a batch However the papers above did not take thisconstraint into consideration They assumed the jobs with different processing time can begrouped into the same batches Also the above papers did not consider about maintenancewhen grouping and scheduling jobs

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Jingying HuangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina

Liya WangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina

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ACO-based Parallel Machine SchedulingConsidering Both Setup Time and Run-basedPreventive Maintenance with ReliabilityConstraints2018 IEEE International Conference onIndustrial Engineering and EngineeringManagement (IEEM)Published 2018

MSPT2 Heuristic and Dynamic ProgrammingMethod for the Parallel Machine SchedulingProblem with scheduled PreventiveMaintenance2006 International Conference on ServiceSystems and Service ManagementPublished 2006

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KEYNOTE AND INVITE SPEAKERS

Keynote Speech

Keynote Speech ndashI

Abstract of speech

Many products are designed to last longer than

the typical lifespan of human being Its thus a

challenge to validate the design life through

reliability tests even when testing is conducted

under much harsher environment Not only that

test duration is usually constrained but the

samples available for testing may also be costly

andor limited in quantity Statistically optimal

plans will allow for efficient use of testing

resources and yet derive the most information

from the test In this presentation we shall

discuss ideas related to designing test plans for

both constant stress and step stress ALT leading

to the statistical optimal plan for sequential ALT

While that of constant ALT is basically a Bayesian

approach that for the step stress ALT requires

solving a dynamic program using backward

induction For the latter optimal solutions are

only available for exponential lifetime and there

are rooms for further research

Loon Ching TANG

BIO Dr Loon Ching TANG is currently the Director of

Temasek Defence Systems Institute and Professor of

Department of Industrial Systems Engineering and

Management at the National University of Singapore

He obtained his PhD degree from Cornell University in

the field of Operations Research in 1992 and has

published extensively in areas related to industrial

engineering and operations research He has been

presented with a number of best paper awards

including the IIE Transactions 2010 Best Application

Paper Award and 2012 RA EvansPK McElroy Award

for the best paper at Annual RAMS Prof Tang is the

main author of the award-winning book Six Sigma

Advanced Tools for Black Belts and Master Black Belts

Besides being active in the forefront of academic

research in the last 25 years Prof Tang has served as

consultant for many organizations such as the

Ministry of Home Affair Singapore Power Republic of

Singapore Air Force Seagate HP Phillips etc on a

wide range of projects aiming at improving

organizational and operations efficiency especially

through better management of engineering assets He

is currently a fellow of ISEAM the Editor of Quality amp

Reliability Engineering International and an editorial

review board member of the flagship journal of ASQ

Journal of Quality Technology (since 2006) He has

served as the Region VP (Asia) of IIE (2013-16) and a

member of the advisory board of the Singapore

Innovation and Productivity Institute

Apr 26(Thu) 2018 1305-1350

Auditorium Room

ldquoPlanning Sequential Accelerated Life Testingrdquo

Prof Loon Ching TANG

National University of Singapore Singapore

Lenovo
Highlight

Keynote Speech ndashII

George ZHANG

BIO Professor Zhe George Zhang is a professor of

Management Science in the Department of Decision

Sciences at Western Washington University and a

professor of Operations Management in Beedie

School of Business at Simon Fraser University He is

also visiting professor of Sauder School of Business

at the University of British Columbia Dr Zhang

received his BS in Computer Science and MA in

Economics from Nankai University China his MBA

from the Schulich School of Business at York

University and his PhD in Operations research from

the University of Waterloo Professor Zhang has

published many papers in prestigious journals such

as Management Science Operations Research

Manufacturing amp Service Operations Management

Production and Operations Management IIE

Transactions IEEE Transactions Queueing Systems

Journal of Applied Probability Co-authored with

Professor Tian in 2006 he published the research

monograph Vacation Queueing Models - Theory

and Applications the first book on this particular

topic (now highly cited) Professor Zhangs research

interests include queueing theory and applications

and stochastic models for manufacturing and

service systems The main theme of his research is

to bridge the gap between theory and application

obtaining unobservable and sometimes

counter-intuitive but significantpractical

management insights via modeling and quantitative

analysis Currently he is particularly interested in

the quantitative and economic analysis of the

congestion problems in urbanmass transportation

networks healthmedical care systems and public

service systems with both customer service quality

and security concerns As an expert in data analysis

and quantitative modeling he has consulted in

industry and has given research seminars and short

lectures at leading universities around the world He

was invited to present plenary or keynote talks in

several international conferences Professor Zhang

is the one of Editor-in-Chiefs for new journal

Queueing Models and Service Management aan

associate editor of INFOR (Information Systems and

Operations Research) and is on the editorial board

of several international journals in Operations

Research and Management Science

Apr 26(Thu) 2018 1350-1435

Auditorium Room

ldquordquo

Prof George ZHANG

Western Washington University USA

Lenovo
Highlight

Keynote Speech ndashIII

Abstract of speech

The purpose of this paper is to investigate the

generalized age maintenance policies for a system

with random working times When the system fails

it is subject to one of two types of failures with

age-dependent probability type I failure can be

removed by minimal repair and type II failure must

be rectified by replacementA First the system is

preventively replaced before type II failure at time T

or at the completion of Nth working projects

whichever occurs first Two modified models where

the system is preventively replaced before type II

failure at time T or at the completion of Nth

working projects whichever occurs last and it is

preventively replaced at the first completion of the

working project over time T or at the completion of

Nth working projects whichever occurs first are

considered By introducing costs due to repairs

maintenance and replacement the expected cost

per unit time is derived as a criterion of optimality

and the optimal policy that minimizes that cost is

discussed analytically

Shey-Huei SHEU

BIO Professor Shey-Huei Sheu is a Chair Professor

of Department of Statistics and Informatics Science

at the Providence University He is an Honorary

Chair Professor of the Department of Industrial

Management at the National Taiwan University of

Science and Technology He received his MS

degree (1979) in applied mathematics from the

National Tsing Hua University and his PhD degree

(1987) in statistics from the University of Kentucky

He has published in journals such as Naval Research

Logistics Journal of Applied Probability RAIRO

Operations Research Microelectronics and

Reliability Reliability Engineering and System Safety

International Journal of Systems Science Quality

and Reliability Engineering International

International Journal of Reliability Quality and

Safety Engineering Journal of the Operational

Research Society European Journal of the

Operational Research Computers and Operation

Research Computers and Industrial Engineering

Quality Engineering Asia-Pacific Journal of the

Operational Research Communications in

Statistics-Theory and Methods Computers and

Mathematics with Applications Simulation

Modeling Practice and Theory Communications in

Statistics-Simulation and Computation Journal of

Statistical Computation and Simulation

International Journal of Production Economics

Quality Technology and Quantitative Management

The International Journal of Advanced

Manufacturing Technology Expert Systems

International Journal of Computer Mathematics

Journal of Applied Statistics Production Planning

and Control International Journal of Production

Research Applied Mathematical Modelling IEEE

Transactions on Reliability and Annals of

Operations Research

Apr 26(Thu) 2018 1435-1520

Auditorium Room

ldquoThe Generalized Age Maintenance Policies with

Random Working Timesrdquo

Prof Shey-Huei SHEU

Providence University Taiwan

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Highlight

Keynote Speech ndashIV

Abstract of speech

IEEE 80211ah a specification belonging to 80211

wireless local area network (WLAN) protocol family

has been recently released to support the

long-range low-power and low-rate wireless

communication among smart devices used in

Internet of Thing (IoT) systems However security

requirements of the energy-constrained devices

have plenty of issues different from the traditional

wireless devices It requires that the lightweight

security protocols have to support low-power and

low-latency as well as the long-lasting features of

quantities of IoT devices The recently released IEEE

statndard IEEE 80211ai has specified a Fast Initial

Link Setup (FILS) which is a brand-new approach

aiming at establishing fast stable and secure links

among smart devices IEEE 80211ai could be applied

to other wireless systems such as the wireless

system of IEEE 80211ah with security

enhancements In this talk I would address the

secureity issues of IEEE 80211ai and IEEE 80211ah

with an new proposal to enhance the

authentication process in the link setup procedure

specified by IEEE 80211ai

Maode MA

BIO Dr Maode Ma is a Fellow of IET He received his

PhD degree in computer science from Hong Kong

University of Science and Technology in 1999 Now

Dr Ma is an Associate Professor in the School of

Electrical and Electronic Engineering at Nanyang

Technological University in Singapore He has

extensive research interests including network

security and wireless networking Dr Ma has about

350 international academic publications including

over 160 journal papers and about 190 conference

papers He has delivered over 50 keynote speeches

at various international conferences He has served

as various chairs for over 100 international

conferences He currently serves as the

Editor-in-Chief of International Journal of Computer

and Communication Engineering and International

Journal of Electronic Transport He also serves as a

Senior Editor or an Associate Editor for other 4

international academic journals Dr Ma is a Senior

Member of IEEE Communication Society and IEEE

Education Society and a Member of ACM He is the

Chair of the IEEE Education Society Singapore

Chapter and the Chair of the ACM Singapore

Chapter He has served as an IEEE Communication

Society Distinguished Lecturer from 2013-2016

Apr 26(Thu) 2018 1530-1615

Auditorium Room

ldquoEfficient and Secure Authentication Schemes for

IEEE 80211ah Networks rdquo

Prof Maode MA

Nanyang Technological University Singapore

Lenovo
Highlight

Keynote Speech ndashV

Abstract of speech

Stochastic aircraft routing (SAR) plays a critical role

in defining the routing plans of airlines which

include assigning the aircraft to flight legs and

determining the time and location of maintenance

to the aircraft Based on the routing plan specified

by the airlines the maintenance providers should

schedule their workforce to perform maintenance

operations by solving the maintenance staffing

problem (MSP) MSP helps maintenance providers

to build their staffing plans which include the

assignment of manpower to each aircraft so that

aircraft receive the required maintenance

operations as planned Practically for airlines the

routing plan will be interrupted (eg flight delays) if

an aircraft cannot be released from the

maintenance station punctually Similarly for

maintenance providers if an aircraft misses the

scheduled appointment at the maintenance station

this will also cause a huge interruption to their

staffing plan Therefore there is an interrelationship

between SAR and MSP In the literature the focus

of each problem has been traditionally considered

separately with only limited consideration of their

interrelationship In this paper we study SAR along

with MSP with the objective of investigating the

interrelationship between SAR and MSP For this

purpose we propose a coordinated configuration

of SAR and MSP that is formulated as a

leader-follower Stackelbery game in which SAR

acts as a leader and MSP acts as a follower This

game is enacted through a bi-level optimization

model which is solved by a bi-level nested ant

colony optimization (ACO) algorithm A case study

of a major airline and maintenance provider located

in the Middle East is presented to demonstrate the

feasibility and potential of the proposed model The

results demonstrate significant saving in the costs

of both companies

Felix TS CHAN

BIO Professor Felix T S Chan received his BSc

Degree in Mechanical Engineering from Brighton

Polytechnic (now University) UK and obtained his

MSc and PhD in Manufacturing Engineering from

the Imperial College of Science and Technology

University of London UK Professor Chan is now

working at the Department of Industrial and

Systems Engineering The Hong Kong Polytechnic

University and also serving as Associate Dean

(Research) at the Faculty of Engineering His current

research interests are Logistics and Supply Chain

Management Operations Management

Distribution Coordination Systems Modelling and

Simulation AI Optimisation To date he has

published 16 book chapters over 300 refereed

international journal papers and 250 peer reviewed

international conference papers h index= 30 under

the Web of Science He is a chartered member of

the Chartered Institute of Logistics and Transport in

Hong Kong According to a study lately published in

the International Journal of Production Research

(httpdxdoiorg1010800020754320151037935)

the study measured the research contributions over

a 26-year time frame (1985-2010) of academic

institutions and individual authors to the field of

Apr 26(Thu) 2018 1615-1700

Auditorium Room

ldquoInvestigating the Interrelationship between

Stochastic Aircraft Routing of Airlines and

Maintenance Staffing of Maintenance Providersrdquo

Prof Felix TS CHAN

The Hong Kong Polytechnic University Hong Kong

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Operations Management (OM) based on published

articles in 11 top-rated and well-known academic OM

journals Professor Chan was among the top 50

prolific authors list who have made the greatest

overall contribution to the field as measured by the

number of distributed and shared articles published

in the 11 designated journals Also Professor Chan

was Ranked No 3 in The top 100 authors as the

most productive researchers in the field of

Operations Management over the past 10 years

(2001-2010)

COMMITTEE

ICIEA 2018 Organizing Committee

International Advisory Committee

Zhe George Zhang Western Washington University USA

Conference Chairs

Felix T S Chan The Hong Kong Polytechnic University Hong Kong

Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan

Local Organizing Chair

TANG Loon Ching National University of Singapore Singapore

Organizing and Program Committees

Seoung Bum Kim School of Industrial Mangement Engineering Korea University

Usik Lee Inha University Korea

Maode Ma Nanyang Technological University Singapore

Finance Chair

Minghan Xi Dalian Maritime University China

International Technical Committees

Cheng-Feng HuNational Chiayi University Taiwan

Dong-Yuh YangNational Taipei University of Business Taiwan

Mario HirzGraz University of Technology Austria

Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt

Po-Hsiang Liu College of Business and Management in St Johns University USA

Taesu Cheong Korea University Korea

Tien-Lun Liu Chung Yuan Christian University Taiwan

Wei CaiWuhan University of Technology China

Jinguo Huang Huazhong University of Science and Technology China

Yu-Chung Tsao National Taiwan University of Science Technology Taiwan

Yip Mum WaiTunku Abdul Rahman University College Malaysia

Pule Kholopane University of Johannesburg South Africa

Bonivasius Prasetya Ichtiarto mercu buana university Indonesia

Elita Amrina Andalas University Indonesia

Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan

Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong

Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia

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Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India

Byung Do Chung Yonsei University Korea

M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia

Sandeep Singhal National Institute of Technology India

J W Wang The University of Hong Kong Hong Kong

Ching-Chang Kuo National Taichung University of Science and Technology Taiwan

Kuo-Hsiung Wang Providence University Taiwan

ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia

Sangbok Lee Hansung University Korea

Adrian E Coronado Mondragon Royal Holloway University of London UK

Chin-I Lee Ling Tung University Taiwan

S H ChoiUniversity of Hong Kong Hong Kong

Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan

Wei Cai Wuhan University of Technology China

Hashibah Hamid Universiti Utara Malaysia Malaysia

TMA Ari Samadhi Bandung Institute of Technology Indonesia

Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia

Pi-Chun Hsu Chaoyang University of Technology Taiwan

Mu-Chen Chen National Chiao Tung University Taiwan

Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan

Tsu-Wei Yu Chaoyang University of Technology Taiwan

Lingyun Wei Beijing University of Posts and Telecommunications China

Hamdi Bashir University of sharjahUnited Arab Emirates

LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand

LIU Hai-peng Kunming University of Science and Technology China

Elfira Febriani Trisakti University Indonesia

Yu-Hsiang Hsiao National Taipei University Taiwan

Chien-Chih Wang Ming Chi University of Technology Taiwan

Atichart Harncharnchai Chiang Mai University Thailand

Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)

Switzerland

Bambang Suhardi Universitas Sebelas Maret Indonesia

Ssu Han Chen Ming Chi University of Technology Taiwan

Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia

Augustina Asih Rumanti Bandung Institute of Technology Indonesia

Maheshwar Dwivedy BML Munjal University India

Zhichuan Guan China university of petroleum (East China) China

Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia

Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia

Yenming J Chen National Kaohsiung University of Science and Technology Taiwan

Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia

TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand

Li Li Nanjing University of Science and Technology China

SERTIFIKAT

Page 19: Nilai Maksimal Prosiding - eprints.undip.ac.ideprints.undip.ac.id/70482/1/...of_GSCM_practice_peer_review_lengkap.pdf · discriminant function as Z= (0.238-IeM) + (0.602-GPU) + (1.161-CCO)

x

Ergonomic Intervention Addressing Musculoskeletal Disorders among Poultry Layer Workers 429

Ma Janice J Gumasing Rex Aurelius C Robielos

Wristwatch Development Based on Kansei Engineering 435

Imam Djati Widodo Heavy Zerry Novibrilliawan

Innovative Product Development of Fabric Glass Interlayer 440

Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong

Systems Modeling and Simulation

A Simulation Study of Multi-dimensional Clearing Function Considering Degradation for Semiconductor

Manufacturing 448

Jianqiu Huang Jingying Huang Liya Wang

Productivity Improvement of Tapioca Packing Process through Simulation Modeling Analysis 453

Nara Samattapapong

Modelling the Barriers for Mass Adoption of Electric Vehicles in Indian Automotive Sector An Interpretive

Structural Modeling (ISM) Approach 458

Surya Prakash Sameer Sharma Poudel Maheshwar Dwivedy Dilesh Raj Shrestha

Diagnostics of the Wire Coating Production Line by Implementation of Computation Methods 463

Ivan Kuric Miroslav Cisar Ivan Zajacko Tomas Gal

District Model with Two Types of Vehicles for Transporting Sugarcane 468

Rujirat Patcharamethanon Kanchala Sudtachat

Experiment of Induction Heating Application for Heating Multilayer Metallic Hollow Altered Cylinder 475

Jakkarin Srituvanont Thanaset Thosdeekoraphat Chanchai Thongsopa Samran Santalunai

A Framework for Analyzing and Developing Dashboard Templates for Small and Medium Enterprises 479

Wasinee Noonpakdee Thitiporn Khunkornsiri Acharaphun Phothichai Kriangsak Danaisawat

An Economic Order Quantity Model with Continous Quantity Discount and Probabilistic Demand 484

Ardian Rizaldi Ashaeurizky Dilianaputri Fitri A Anugrah Riska Ummaya Senator Nur Bahagia

Technology and Knowledge Management

Analyzing Interdependencies in a Project Portfolio Using Social Network Analysis Metrics 490

Helal Al Zaabi Hamdi Bashir

Sentiment Analysis of Twitter Corpus Related to Artificial Intelligence Assistants 495

Chae Won Park Dae Ryong Seo

xi

Artificial Neural Neural Network Approach for Technology Life Cyle Construction on Patent Data 499

Muhammad Hanif Ramadhan Vialli Ibrahim Malik Teddy Sjafrizal

A Systematic Literature Review on Knowledge Sharing for Innovation Empirical Study Approach 504

Augustina Asih Rumanti T M A Ari Samadhi Iwan Inrawan Wiratmadja Indryati Sunaryo

Belief Representation of Design Mental Model Based on Design Rationale 510

Chen Ying Jing Shikai Wang Yedong Cheng Dada

Study on Teaching Methods of Fundamental Electrical Courses in Engineering Education 515

Jianpei Chen Fei Gao Lingling Kong Lin Cui

Supply Chain Management

Supply Chain Model for Renewable Energy Resource from Biomass in Vietnam 520

Duy Nguyen Duc Narameth Nananukul

Exploring the Implementation of Green Supply Chain with Cluster and Discriminant AnalysismdashCase Study

Furniture Industry at Central Java Semarang 526

Aries Susanty Diana Puspita Sari

Systematic Literature Review and Improved Model for Mitigating Bullwhip Effect in Low Shelf Life Food

Supply Chain 531

Nia Novitasari Dida Diah Damayanti

Supply Chain Management Performance and Partial Least Square-Structural Equation Model An application

to Thai Tourism Supply Chain 536

Daraka Palang Korrakot Yaibuathet Tippayawong

An Economic Competitiveness Analysis of Power Generation Plants 543

Ndala Yves Mulongo Pule Kholopane

Supplier Selection Considering Sustainablitity Criteria by Using A Hybrid Evaluation Method in Printing

Business 548

Onsiree Mananawigapol Chorkaew Jaturanonda Tuanjai Somboonwiwat

Barriers and Drivers of eBIZ Adoption in the Fashion Supply Chain Preliminary Results 555

Bianca Bindi Virginia Fani Romeo Bandinelli Gilda Massa Gessica Ciaccio Arianna Brutti Piero De

Sabbata

A Simulation Analysis on Regional Logistics Development Based on System Dynamics The Case of Yunnan

Province 560

Yinyuan Si Wensheng Yang Huini Zhou

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xii

A Sustainability Assessment of Electricity Supply Systems 565

Ndala Yves Mulongo Pule Kholopane

Author Index

1040-1210 Friday 27 Apr

Session B-2 Supply Chain Management Venue Lemongrass Room

Chair

N066

Time 1040-1055

A study on Healthcare-product Supply Chain with a group purchasing organization Ms Yin Han Lingyun Wei Beijing University of posts and telecommunications Beijing China

In order to better understand the impact of group purchasing organization (GPO) on healthcare-product supply chain we build a supply chain model consisting of one manufacturer one competitive source one group purchasing organization(GPO) and n healthcare providers for a single product Providers may purchase from any source for minimizing their total costs Through considering different providersrsquo demands power schemes and revenue sharing between GPO and providers we analyze the performance of supply chain and its members under various situations Numerical examples show some interesting findings (1) When GPO dominates the supply chain GPO can obtain more profits (2)When manufacturer dominates the supply chain and GPO shares its revenue with providers there exists specific revenue sharing rates which increase GPOrsquos profits and reduce providersrsquo cost (3) Manufacturer always can achieve a same optimal profit by changing quantity discount rate when GPO dominates supply chain and shares its revenue with providers

N108

Time 1055-1110

Exploring the Implementation of Green Supply Chain with Cluster and Discriminant Analysis Case Study Furniture Industry at Central Java Semarang Dr Aries Susanty Diana Puspitasari Diponegoro Univeristy Indonesia This study has two objectives First this study aims to categorize the level of the implementation of Green Supply Chain Management (GSCM) practice among Small and Medium Enterprises (SMEs) of wooden furniture in several clusters Second this study aims to find the linear combination of five dimensions of GSCM practices that will discriminate best between prior defined clusters The study used primary data through questionnaires enclosed with the Likert scale 1-5 at 162 SMEs of wooden furniture located in Surakarta Jepara Semarang and Kudus The raw data level of implementation of five dimensions of GSCM practice is analyzed using K-Means cluster and discriminant analysis with the aid of the Statistical Package for the Social Sciences (SPSS) software The result of K-Means cluster analysis indicated that a two-cluster is the optimal number of a group for separating the data of the level of implementation of GSSM practice among SMEs of wooden furniture and the two clusters founded in this research are labeled as early adopter and laggards Then the result of the discriminant analysis indicated that as high as 9877 of the SMEs of wooden furniture was classified correctly The result of discriminant analysis also revealed the discriminant function as Z= (0238IEM) + (0602GPU) + (1161CCO) + (1128ECO) + (1126IRE) - 13124 and the threshold for evaluating a discriminant score of

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Conferences gt 2018 5th International Confer

3 Author(s) Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa View All Authors

Demand management practices in the manufacturing industry An empiricalSouth African perspective

38FullText Views

Abstract

Document Sections

I Introduction

II Literature Review

III Methodology

IV Resultsampinterpretations

V Conclusion

Authors

Figures

References

Keywords

Metrics

Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

References

Keywords

Metrics

AbstractThis paper aims to identify and explore Demand Management (DM) practices used within the SouthAfrican Manufacturing industry The study followed a qualitative design approach in order to identifythe relationship between DM methods such as forecasting and the best practices used by therespondents Therefore a purposive sampling technique was used whereby a questionnaire was sentout via email to 15 manufacturing companies before meeting them for a face to face interviewconducted in two weeks Respondents varied from different industries such as automotive wood andpaper chemical food and beverage etc The results demonstrated that although the respondents areaware of the best practices for a good DM system they generally do not apply them entirely becauseof factors like fear of implementing change and failure to quickly adapt themselves to the change thatwould come with those best practices In addition the results also revealed that forecasting is themost used DM method by the respondents and a simple forecasting average is used to predict futuredemand Depending on the company the forecast is done either by a team or by functional areas

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844216

DOI 101109IEA20188387071

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionThe importance of satisfying the customer by meeting the demand has long been recognized bymanagers as crucial to making the organization successful However numerous problems occurand many factors need to be considered in order to give the customer what they want how theywant it as well as where and when they want it Failure to understand crucial characteristics ofdemand will result in supply shortage or excessive stock that will place serious financial burdenson the organization subsequently leading to a loss of market share and customers

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Eric Bakama MikobiDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

Eveth Nwobodo-AnyadiegwuDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

Charles MbohwaDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

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An integrative framework of knowledgemanagement enabled supply chainmanagement2008 IEEE International Conference onIndustrial Engineering and EngineeringManagementPublished 2008

An empirical approach for the application ofknowledge management on downstream supplychain management of Indian public sector oilcompanies2017 Fourteenth International Conference onWireless and Optical Communications Networks(WOCN)Published 2017

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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|

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Conferences gt 2018 5th International Confer

2 Author(s) Shikha Singh Subhas Chandra Misra View All Authors

Core challenges to cloud PLM adoption in large manufacturing firms

60FullText Views

Abstract

Document Sections

I Introduction

II Literature Review

III ResearchMethodology

IV Case Study and DataAnalysis

V Result and Discussion

Show Full Outline

Authors

Figures

References

Keywords

Metrics

Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

References

Keywords

Metrics

AbstractAs the globalization is at its peak and innovative products are at high demand firms are forced to workin a collaborative manner The product data must be lively available to all the collaborated partnersAlthough on-premise Product Lifecycle Management (PLM) systems are offering the collaborationsand product data management throughout the products lifecycle the Internet of Things (IoT) eraoffers more connectivity at a lesser cost Though most large manufacturing firms have established theon-premise PLM systems yet face some difficulties related to maintenance and upgradations of in-house information technology (IT) infrastructure Hence cloud PLM is under consideration foradoption among many large manufacturing firms However there are several challenges associatedwith cloud PLM adoption decision This work intends to find out the challenges which largemanufacturing firms face while deciding to adopt cloud PLM The empirical investigations have beenattempted to find out the relations among the challenges faced and to provide the guideline on how tofind out the core challenges which needs to be attended before adopting cloud PLM in largemanufacturing firms

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844276

DOI 101109IEA20188387085

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionProduct lifecycle management (PLM) systems are the IT tools [1] which support the PLMbusiness concept [2] to manage the whole lifecycle of a product in firms PLM systems help totransform the organizations into digitized era and make them technologically robust by giving a3D product designing and virtual manufacturing opportunity [3] PLM systems help in substantialcost savings by reducing the real manufacturing efforts Product-related knowledge must need tobe preserved so that it can help in the other phases of product lifecycle such as repair overhaulreuse recycle and or disposal of the product Increasing number of enterprise informationsystems stakeholders and product related information demand the need for a managementapproach which makes the managers capable of managing all the dispersed product informationat one common repository for reuse

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Shikha SinghDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India

Subhas Chandra MisraDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India

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The automation of the technological processesin the Manufacturing Internet of Things contextfor the pharmaceutical enterprises2018 IEEE 9th International Conference onDependable Systems Services andTechnologies (DESSERT)Published 2018

Integration of ERP and Internet of Things inIntelligent Enterprise Management2018 1st International Cognitive CitiesConference (IC3)Published 2018

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raquo Contact amp Support

A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|

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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance

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Conferences gt 2018 5th International Confer

3 Author(s) Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong View All Authors

Innovative product development of fabric glass interlayer

39FullText Views

Abstract

Document Sections

I Introduction

II Methodology

III Conclusion

Authors

Figures

References

Keywords

MetricsPublished in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

References

Keywords

Metrics

AbstractA glass manufacturer in Thailand developed the laminated fabric glass as innovative product in 2013but sales had declined in 2016 Customers survey shows that the satisfaction level decreased due tolong production lead time high-selling price and long installation time This paper aims to develop anew innovative fabric glass interlayer product by adopting 5D innovation development process 5Dconsists of Discover Define Design Develop and Deploy Firstly discover phase adopted Five ForcesAnalysis Customer Behavior Analysis and Customers Satisfaction Survey for specifying marketposition and seeking the hidden customers expectations Define is to summarize the project charteras initiation step in the project management and to scope resources and timeframe Design weadopted the integration of QFD Kano Model and Product Quality Index for prioritizing and translatingcustomer expectations to product specifications Then all concepts were concluded by Pugh MatrixWeighted Sum Score and confirmed the selected concept by financial feasibility study Developprocess is to prototyping to verify the production before scale up Finally generated the riskassessment plan by FMEA and contributed the business plan to ensure the effectivecommercialization in Deploy The developed fabric glass interlayer shows higher customer satisfactionlevel by shorten production lead time from 14 days to 8 days (4285) lower price from 790 bahtft to 485 bahtft (3861) and shorten installation time from 180 minutes to 45 minutes (75)

2

2

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844226

DOI 101109IEA20188387141

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionThe case company is one of the glass manufacturers in Thailand who process the fundamentalfunctional building glass tempered and laminated glass for the architectural construction andinterior decoration The companys vision was stated to be the leader of glass innovation within2022 To be the leader of the glass innovation case company should focus on the continuousinnovative product development The mainly innovative product that had been sold for manyyears was the fabric glass as 52 52 and 47 in 2015 2016 and 2017 respectively

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Ploynaplus ThanasirithamDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

Natcha ThawesaengskulthaiDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

Prasert AkkharaprathomphongDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

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Study of a Customer Satisfaction-OrientedModel for Outsourcing Software QualityManagement Using Quality FunctionDeployment (QFD)2008 4th International Conference on WirelessCommunications Networking and MobileComputingPublished 2008

Fuzzy Eco-Design Product Development byUsing Quality Function Deployment2005 4th International Symposium onEnvironmentally Conscious Design and InverseManufacturingPublished 2005

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See the top organizations patenting intechnologies mentioned in this article

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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|

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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance

During this time saved searches will not be editable We apologize for any inconvenience

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Conferences gt 2018 5th International Confer

2 Author(s) Jingying Huang Liya Wang View All Authors

Makespan minimization on single batch-processing machine consideringpreventive maintenance

37FullText Views

Abstract

Document Sections

I Introduction

II Problem Description

III Batching Rule

IV Improved Heuristics

V ComputationalResults andDiscussions

Show Full Outline

Authors

Figures

References

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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

References

Keywords

Metrics

AbstractThis paper considers the problem of minimizing makespan on a single batch-processing machineconsidering preventive maintenance A mathematical model for integrating flexible preventivemaintenance into the batch-processing machine scheduling is proposed A two-stage method isproposed to solve the problem A batching rule considering maintenance is proposed to group jobsinto batches firstly And then we improve existing heuristics to schedule production and maintenanceComputational results indicate that the two-stage method based on proposed batching rule andimproved heuristics is effective

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844275

DOI 101109IEA20188387113

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionBPM (Batch processing machine) problem has attracted many researchers in recent years BPMis able to process a group of jobs as long as the number of jobs in the batch is less than or equalto the capacity of the machine To minimize total flow time Rui Xu [1] proposed an ant colonyalgorithm combined with the candidate list NR Parsa [2] proposed an algorithm using a hybridmax-min ant system AH Kashan [3] proposed a batch based hybrid genetic algorithm thatgenerates random batches of jobs and ensures feasibility To minimize total earliness andtardiness of the jobs NR Parsa [4] proposed a dynamic programming algorithm and severalheuristics BPM problem is practically applied in many manufacturing industries One of them issemiconductor wafer manufacturing industry BPM problem is applied in the furnace area in themanufacturing process of semiconductor wafers The machine is only shared by jobs requiringthe particular processing operation [5] That is in reality only semiconductor wafers with thesame kind of process can be grouped into a batch However the papers above did not take thisconstraint into consideration They assumed the jobs with different processing time can begrouped into the same batches Also the above papers did not consider about maintenancewhen grouping and scheduling jobs

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Jingying HuangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina

Liya WangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina

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ACO-based Parallel Machine SchedulingConsidering Both Setup Time and Run-basedPreventive Maintenance with ReliabilityConstraints2018 IEEE International Conference onIndustrial Engineering and EngineeringManagement (IEEM)Published 2018

MSPT2 Heuristic and Dynamic ProgrammingMethod for the Parallel Machine SchedulingProblem with scheduled PreventiveMaintenance2006 International Conference on ServiceSystems and Service ManagementPublished 2006

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raquo Update Address

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raquo Order History

raquo View Purchased Documents

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raquo Communications Preferences

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raquo US amp Canada +1 800 678 4333

raquo Worldwide +1 732 981 0060

raquo Contact amp Support

A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|

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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance

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KEYNOTE AND INVITE SPEAKERS

Keynote Speech

Keynote Speech ndashI

Abstract of speech

Many products are designed to last longer than

the typical lifespan of human being Its thus a

challenge to validate the design life through

reliability tests even when testing is conducted

under much harsher environment Not only that

test duration is usually constrained but the

samples available for testing may also be costly

andor limited in quantity Statistically optimal

plans will allow for efficient use of testing

resources and yet derive the most information

from the test In this presentation we shall

discuss ideas related to designing test plans for

both constant stress and step stress ALT leading

to the statistical optimal plan for sequential ALT

While that of constant ALT is basically a Bayesian

approach that for the step stress ALT requires

solving a dynamic program using backward

induction For the latter optimal solutions are

only available for exponential lifetime and there

are rooms for further research

Loon Ching TANG

BIO Dr Loon Ching TANG is currently the Director of

Temasek Defence Systems Institute and Professor of

Department of Industrial Systems Engineering and

Management at the National University of Singapore

He obtained his PhD degree from Cornell University in

the field of Operations Research in 1992 and has

published extensively in areas related to industrial

engineering and operations research He has been

presented with a number of best paper awards

including the IIE Transactions 2010 Best Application

Paper Award and 2012 RA EvansPK McElroy Award

for the best paper at Annual RAMS Prof Tang is the

main author of the award-winning book Six Sigma

Advanced Tools for Black Belts and Master Black Belts

Besides being active in the forefront of academic

research in the last 25 years Prof Tang has served as

consultant for many organizations such as the

Ministry of Home Affair Singapore Power Republic of

Singapore Air Force Seagate HP Phillips etc on a

wide range of projects aiming at improving

organizational and operations efficiency especially

through better management of engineering assets He

is currently a fellow of ISEAM the Editor of Quality amp

Reliability Engineering International and an editorial

review board member of the flagship journal of ASQ

Journal of Quality Technology (since 2006) He has

served as the Region VP (Asia) of IIE (2013-16) and a

member of the advisory board of the Singapore

Innovation and Productivity Institute

Apr 26(Thu) 2018 1305-1350

Auditorium Room

ldquoPlanning Sequential Accelerated Life Testingrdquo

Prof Loon Ching TANG

National University of Singapore Singapore

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Highlight

Keynote Speech ndashII

George ZHANG

BIO Professor Zhe George Zhang is a professor of

Management Science in the Department of Decision

Sciences at Western Washington University and a

professor of Operations Management in Beedie

School of Business at Simon Fraser University He is

also visiting professor of Sauder School of Business

at the University of British Columbia Dr Zhang

received his BS in Computer Science and MA in

Economics from Nankai University China his MBA

from the Schulich School of Business at York

University and his PhD in Operations research from

the University of Waterloo Professor Zhang has

published many papers in prestigious journals such

as Management Science Operations Research

Manufacturing amp Service Operations Management

Production and Operations Management IIE

Transactions IEEE Transactions Queueing Systems

Journal of Applied Probability Co-authored with

Professor Tian in 2006 he published the research

monograph Vacation Queueing Models - Theory

and Applications the first book on this particular

topic (now highly cited) Professor Zhangs research

interests include queueing theory and applications

and stochastic models for manufacturing and

service systems The main theme of his research is

to bridge the gap between theory and application

obtaining unobservable and sometimes

counter-intuitive but significantpractical

management insights via modeling and quantitative

analysis Currently he is particularly interested in

the quantitative and economic analysis of the

congestion problems in urbanmass transportation

networks healthmedical care systems and public

service systems with both customer service quality

and security concerns As an expert in data analysis

and quantitative modeling he has consulted in

industry and has given research seminars and short

lectures at leading universities around the world He

was invited to present plenary or keynote talks in

several international conferences Professor Zhang

is the one of Editor-in-Chiefs for new journal

Queueing Models and Service Management aan

associate editor of INFOR (Information Systems and

Operations Research) and is on the editorial board

of several international journals in Operations

Research and Management Science

Apr 26(Thu) 2018 1350-1435

Auditorium Room

ldquordquo

Prof George ZHANG

Western Washington University USA

Lenovo
Highlight

Keynote Speech ndashIII

Abstract of speech

The purpose of this paper is to investigate the

generalized age maintenance policies for a system

with random working times When the system fails

it is subject to one of two types of failures with

age-dependent probability type I failure can be

removed by minimal repair and type II failure must

be rectified by replacementA First the system is

preventively replaced before type II failure at time T

or at the completion of Nth working projects

whichever occurs first Two modified models where

the system is preventively replaced before type II

failure at time T or at the completion of Nth

working projects whichever occurs last and it is

preventively replaced at the first completion of the

working project over time T or at the completion of

Nth working projects whichever occurs first are

considered By introducing costs due to repairs

maintenance and replacement the expected cost

per unit time is derived as a criterion of optimality

and the optimal policy that minimizes that cost is

discussed analytically

Shey-Huei SHEU

BIO Professor Shey-Huei Sheu is a Chair Professor

of Department of Statistics and Informatics Science

at the Providence University He is an Honorary

Chair Professor of the Department of Industrial

Management at the National Taiwan University of

Science and Technology He received his MS

degree (1979) in applied mathematics from the

National Tsing Hua University and his PhD degree

(1987) in statistics from the University of Kentucky

He has published in journals such as Naval Research

Logistics Journal of Applied Probability RAIRO

Operations Research Microelectronics and

Reliability Reliability Engineering and System Safety

International Journal of Systems Science Quality

and Reliability Engineering International

International Journal of Reliability Quality and

Safety Engineering Journal of the Operational

Research Society European Journal of the

Operational Research Computers and Operation

Research Computers and Industrial Engineering

Quality Engineering Asia-Pacific Journal of the

Operational Research Communications in

Statistics-Theory and Methods Computers and

Mathematics with Applications Simulation

Modeling Practice and Theory Communications in

Statistics-Simulation and Computation Journal of

Statistical Computation and Simulation

International Journal of Production Economics

Quality Technology and Quantitative Management

The International Journal of Advanced

Manufacturing Technology Expert Systems

International Journal of Computer Mathematics

Journal of Applied Statistics Production Planning

and Control International Journal of Production

Research Applied Mathematical Modelling IEEE

Transactions on Reliability and Annals of

Operations Research

Apr 26(Thu) 2018 1435-1520

Auditorium Room

ldquoThe Generalized Age Maintenance Policies with

Random Working Timesrdquo

Prof Shey-Huei SHEU

Providence University Taiwan

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Highlight

Keynote Speech ndashIV

Abstract of speech

IEEE 80211ah a specification belonging to 80211

wireless local area network (WLAN) protocol family

has been recently released to support the

long-range low-power and low-rate wireless

communication among smart devices used in

Internet of Thing (IoT) systems However security

requirements of the energy-constrained devices

have plenty of issues different from the traditional

wireless devices It requires that the lightweight

security protocols have to support low-power and

low-latency as well as the long-lasting features of

quantities of IoT devices The recently released IEEE

statndard IEEE 80211ai has specified a Fast Initial

Link Setup (FILS) which is a brand-new approach

aiming at establishing fast stable and secure links

among smart devices IEEE 80211ai could be applied

to other wireless systems such as the wireless

system of IEEE 80211ah with security

enhancements In this talk I would address the

secureity issues of IEEE 80211ai and IEEE 80211ah

with an new proposal to enhance the

authentication process in the link setup procedure

specified by IEEE 80211ai

Maode MA

BIO Dr Maode Ma is a Fellow of IET He received his

PhD degree in computer science from Hong Kong

University of Science and Technology in 1999 Now

Dr Ma is an Associate Professor in the School of

Electrical and Electronic Engineering at Nanyang

Technological University in Singapore He has

extensive research interests including network

security and wireless networking Dr Ma has about

350 international academic publications including

over 160 journal papers and about 190 conference

papers He has delivered over 50 keynote speeches

at various international conferences He has served

as various chairs for over 100 international

conferences He currently serves as the

Editor-in-Chief of International Journal of Computer

and Communication Engineering and International

Journal of Electronic Transport He also serves as a

Senior Editor or an Associate Editor for other 4

international academic journals Dr Ma is a Senior

Member of IEEE Communication Society and IEEE

Education Society and a Member of ACM He is the

Chair of the IEEE Education Society Singapore

Chapter and the Chair of the ACM Singapore

Chapter He has served as an IEEE Communication

Society Distinguished Lecturer from 2013-2016

Apr 26(Thu) 2018 1530-1615

Auditorium Room

ldquoEfficient and Secure Authentication Schemes for

IEEE 80211ah Networks rdquo

Prof Maode MA

Nanyang Technological University Singapore

Lenovo
Highlight

Keynote Speech ndashV

Abstract of speech

Stochastic aircraft routing (SAR) plays a critical role

in defining the routing plans of airlines which

include assigning the aircraft to flight legs and

determining the time and location of maintenance

to the aircraft Based on the routing plan specified

by the airlines the maintenance providers should

schedule their workforce to perform maintenance

operations by solving the maintenance staffing

problem (MSP) MSP helps maintenance providers

to build their staffing plans which include the

assignment of manpower to each aircraft so that

aircraft receive the required maintenance

operations as planned Practically for airlines the

routing plan will be interrupted (eg flight delays) if

an aircraft cannot be released from the

maintenance station punctually Similarly for

maintenance providers if an aircraft misses the

scheduled appointment at the maintenance station

this will also cause a huge interruption to their

staffing plan Therefore there is an interrelationship

between SAR and MSP In the literature the focus

of each problem has been traditionally considered

separately with only limited consideration of their

interrelationship In this paper we study SAR along

with MSP with the objective of investigating the

interrelationship between SAR and MSP For this

purpose we propose a coordinated configuration

of SAR and MSP that is formulated as a

leader-follower Stackelbery game in which SAR

acts as a leader and MSP acts as a follower This

game is enacted through a bi-level optimization

model which is solved by a bi-level nested ant

colony optimization (ACO) algorithm A case study

of a major airline and maintenance provider located

in the Middle East is presented to demonstrate the

feasibility and potential of the proposed model The

results demonstrate significant saving in the costs

of both companies

Felix TS CHAN

BIO Professor Felix T S Chan received his BSc

Degree in Mechanical Engineering from Brighton

Polytechnic (now University) UK and obtained his

MSc and PhD in Manufacturing Engineering from

the Imperial College of Science and Technology

University of London UK Professor Chan is now

working at the Department of Industrial and

Systems Engineering The Hong Kong Polytechnic

University and also serving as Associate Dean

(Research) at the Faculty of Engineering His current

research interests are Logistics and Supply Chain

Management Operations Management

Distribution Coordination Systems Modelling and

Simulation AI Optimisation To date he has

published 16 book chapters over 300 refereed

international journal papers and 250 peer reviewed

international conference papers h index= 30 under

the Web of Science He is a chartered member of

the Chartered Institute of Logistics and Transport in

Hong Kong According to a study lately published in

the International Journal of Production Research

(httpdxdoiorg1010800020754320151037935)

the study measured the research contributions over

a 26-year time frame (1985-2010) of academic

institutions and individual authors to the field of

Apr 26(Thu) 2018 1615-1700

Auditorium Room

ldquoInvestigating the Interrelationship between

Stochastic Aircraft Routing of Airlines and

Maintenance Staffing of Maintenance Providersrdquo

Prof Felix TS CHAN

The Hong Kong Polytechnic University Hong Kong

Lenovo
Highlight

Operations Management (OM) based on published

articles in 11 top-rated and well-known academic OM

journals Professor Chan was among the top 50

prolific authors list who have made the greatest

overall contribution to the field as measured by the

number of distributed and shared articles published

in the 11 designated journals Also Professor Chan

was Ranked No 3 in The top 100 authors as the

most productive researchers in the field of

Operations Management over the past 10 years

(2001-2010)

COMMITTEE

ICIEA 2018 Organizing Committee

International Advisory Committee

Zhe George Zhang Western Washington University USA

Conference Chairs

Felix T S Chan The Hong Kong Polytechnic University Hong Kong

Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan

Local Organizing Chair

TANG Loon Ching National University of Singapore Singapore

Organizing and Program Committees

Seoung Bum Kim School of Industrial Mangement Engineering Korea University

Usik Lee Inha University Korea

Maode Ma Nanyang Technological University Singapore

Finance Chair

Minghan Xi Dalian Maritime University China

International Technical Committees

Cheng-Feng HuNational Chiayi University Taiwan

Dong-Yuh YangNational Taipei University of Business Taiwan

Mario HirzGraz University of Technology Austria

Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt

Po-Hsiang Liu College of Business and Management in St Johns University USA

Taesu Cheong Korea University Korea

Tien-Lun Liu Chung Yuan Christian University Taiwan

Wei CaiWuhan University of Technology China

Jinguo Huang Huazhong University of Science and Technology China

Yu-Chung Tsao National Taiwan University of Science Technology Taiwan

Yip Mum WaiTunku Abdul Rahman University College Malaysia

Pule Kholopane University of Johannesburg South Africa

Bonivasius Prasetya Ichtiarto mercu buana university Indonesia

Elita Amrina Andalas University Indonesia

Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan

Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong

Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia

Lenovo
Highlight
Lenovo
Highlight
Lenovo
Highlight
Lenovo
Highlight

Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India

Byung Do Chung Yonsei University Korea

M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia

Sandeep Singhal National Institute of Technology India

J W Wang The University of Hong Kong Hong Kong

Ching-Chang Kuo National Taichung University of Science and Technology Taiwan

Kuo-Hsiung Wang Providence University Taiwan

ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia

Sangbok Lee Hansung University Korea

Adrian E Coronado Mondragon Royal Holloway University of London UK

Chin-I Lee Ling Tung University Taiwan

S H ChoiUniversity of Hong Kong Hong Kong

Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan

Wei Cai Wuhan University of Technology China

Hashibah Hamid Universiti Utara Malaysia Malaysia

TMA Ari Samadhi Bandung Institute of Technology Indonesia

Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia

Pi-Chun Hsu Chaoyang University of Technology Taiwan

Mu-Chen Chen National Chiao Tung University Taiwan

Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan

Tsu-Wei Yu Chaoyang University of Technology Taiwan

Lingyun Wei Beijing University of Posts and Telecommunications China

Hamdi Bashir University of sharjahUnited Arab Emirates

LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand

LIU Hai-peng Kunming University of Science and Technology China

Elfira Febriani Trisakti University Indonesia

Yu-Hsiang Hsiao National Taipei University Taiwan

Chien-Chih Wang Ming Chi University of Technology Taiwan

Atichart Harncharnchai Chiang Mai University Thailand

Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)

Switzerland

Bambang Suhardi Universitas Sebelas Maret Indonesia

Ssu Han Chen Ming Chi University of Technology Taiwan

Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia

Augustina Asih Rumanti Bandung Institute of Technology Indonesia

Maheshwar Dwivedy BML Munjal University India

Zhichuan Guan China university of petroleum (East China) China

Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia

Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia

Yenming J Chen National Kaohsiung University of Science and Technology Taiwan

Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia

TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand

Li Li Nanjing University of Science and Technology China

SERTIFIKAT

Page 20: Nilai Maksimal Prosiding - eprints.undip.ac.ideprints.undip.ac.id/70482/1/...of_GSCM_practice_peer_review_lengkap.pdf · discriminant function as Z= (0.238-IeM) + (0.602-GPU) + (1.161-CCO)

xi

Artificial Neural Neural Network Approach for Technology Life Cyle Construction on Patent Data 499

Muhammad Hanif Ramadhan Vialli Ibrahim Malik Teddy Sjafrizal

A Systematic Literature Review on Knowledge Sharing for Innovation Empirical Study Approach 504

Augustina Asih Rumanti T M A Ari Samadhi Iwan Inrawan Wiratmadja Indryati Sunaryo

Belief Representation of Design Mental Model Based on Design Rationale 510

Chen Ying Jing Shikai Wang Yedong Cheng Dada

Study on Teaching Methods of Fundamental Electrical Courses in Engineering Education 515

Jianpei Chen Fei Gao Lingling Kong Lin Cui

Supply Chain Management

Supply Chain Model for Renewable Energy Resource from Biomass in Vietnam 520

Duy Nguyen Duc Narameth Nananukul

Exploring the Implementation of Green Supply Chain with Cluster and Discriminant AnalysismdashCase Study

Furniture Industry at Central Java Semarang 526

Aries Susanty Diana Puspita Sari

Systematic Literature Review and Improved Model for Mitigating Bullwhip Effect in Low Shelf Life Food

Supply Chain 531

Nia Novitasari Dida Diah Damayanti

Supply Chain Management Performance and Partial Least Square-Structural Equation Model An application

to Thai Tourism Supply Chain 536

Daraka Palang Korrakot Yaibuathet Tippayawong

An Economic Competitiveness Analysis of Power Generation Plants 543

Ndala Yves Mulongo Pule Kholopane

Supplier Selection Considering Sustainablitity Criteria by Using A Hybrid Evaluation Method in Printing

Business 548

Onsiree Mananawigapol Chorkaew Jaturanonda Tuanjai Somboonwiwat

Barriers and Drivers of eBIZ Adoption in the Fashion Supply Chain Preliminary Results 555

Bianca Bindi Virginia Fani Romeo Bandinelli Gilda Massa Gessica Ciaccio Arianna Brutti Piero De

Sabbata

A Simulation Analysis on Regional Logistics Development Based on System Dynamics The Case of Yunnan

Province 560

Yinyuan Si Wensheng Yang Huini Zhou

Lenovo
Highlight

xii

A Sustainability Assessment of Electricity Supply Systems 565

Ndala Yves Mulongo Pule Kholopane

Author Index

1040-1210 Friday 27 Apr

Session B-2 Supply Chain Management Venue Lemongrass Room

Chair

N066

Time 1040-1055

A study on Healthcare-product Supply Chain with a group purchasing organization Ms Yin Han Lingyun Wei Beijing University of posts and telecommunications Beijing China

In order to better understand the impact of group purchasing organization (GPO) on healthcare-product supply chain we build a supply chain model consisting of one manufacturer one competitive source one group purchasing organization(GPO) and n healthcare providers for a single product Providers may purchase from any source for minimizing their total costs Through considering different providersrsquo demands power schemes and revenue sharing between GPO and providers we analyze the performance of supply chain and its members under various situations Numerical examples show some interesting findings (1) When GPO dominates the supply chain GPO can obtain more profits (2)When manufacturer dominates the supply chain and GPO shares its revenue with providers there exists specific revenue sharing rates which increase GPOrsquos profits and reduce providersrsquo cost (3) Manufacturer always can achieve a same optimal profit by changing quantity discount rate when GPO dominates supply chain and shares its revenue with providers

N108

Time 1055-1110

Exploring the Implementation of Green Supply Chain with Cluster and Discriminant Analysis Case Study Furniture Industry at Central Java Semarang Dr Aries Susanty Diana Puspitasari Diponegoro Univeristy Indonesia This study has two objectives First this study aims to categorize the level of the implementation of Green Supply Chain Management (GSCM) practice among Small and Medium Enterprises (SMEs) of wooden furniture in several clusters Second this study aims to find the linear combination of five dimensions of GSCM practices that will discriminate best between prior defined clusters The study used primary data through questionnaires enclosed with the Likert scale 1-5 at 162 SMEs of wooden furniture located in Surakarta Jepara Semarang and Kudus The raw data level of implementation of five dimensions of GSCM practice is analyzed using K-Means cluster and discriminant analysis with the aid of the Statistical Package for the Social Sciences (SPSS) software The result of K-Means cluster analysis indicated that a two-cluster is the optimal number of a group for separating the data of the level of implementation of GSSM practice among SMEs of wooden furniture and the two clusters founded in this research are labeled as early adopter and laggards Then the result of the discriminant analysis indicated that as high as 9877 of the SMEs of wooden furniture was classified correctly The result of discriminant analysis also revealed the discriminant function as Z= (0238IEM) + (0602GPU) + (1161CCO) + (1128ECO) + (1126IRE) - 13124 and the threshold for evaluating a discriminant score of

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Conferences gt 2018 5th International Confer

3 Author(s) Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa View All Authors

Demand management practices in the manufacturing industry An empiricalSouth African perspective

38FullText Views

Abstract

Document Sections

I Introduction

II Literature Review

III Methodology

IV Resultsampinterpretations

V Conclusion

Authors

Figures

References

Keywords

Metrics

Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

References

Keywords

Metrics

AbstractThis paper aims to identify and explore Demand Management (DM) practices used within the SouthAfrican Manufacturing industry The study followed a qualitative design approach in order to identifythe relationship between DM methods such as forecasting and the best practices used by therespondents Therefore a purposive sampling technique was used whereby a questionnaire was sentout via email to 15 manufacturing companies before meeting them for a face to face interviewconducted in two weeks Respondents varied from different industries such as automotive wood andpaper chemical food and beverage etc The results demonstrated that although the respondents areaware of the best practices for a good DM system they generally do not apply them entirely becauseof factors like fear of implementing change and failure to quickly adapt themselves to the change thatwould come with those best practices In addition the results also revealed that forecasting is themost used DM method by the respondents and a simple forecasting average is used to predict futuredemand Depending on the company the forecast is done either by a team or by functional areas

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844216

DOI 101109IEA20188387071

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionThe importance of satisfying the customer by meeting the demand has long been recognized bymanagers as crucial to making the organization successful However numerous problems occurand many factors need to be considered in order to give the customer what they want how theywant it as well as where and when they want it Failure to understand crucial characteristics ofdemand will result in supply shortage or excessive stock that will place serious financial burdenson the organization subsequently leading to a loss of market share and customers

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Eric Bakama MikobiDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

Eveth Nwobodo-AnyadiegwuDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

Charles MbohwaDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

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A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|

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Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance

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Conferences gt 2018 5th International Confer

2 Author(s) Shikha Singh Subhas Chandra Misra View All Authors

Core challenges to cloud PLM adoption in large manufacturing firms

60FullText Views

Abstract

Document Sections

I Introduction

II Literature Review

III ResearchMethodology

IV Case Study and DataAnalysis

V Result and Discussion

Show Full Outline

Authors

Figures

References

Keywords

Metrics

Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

References

Keywords

Metrics

AbstractAs the globalization is at its peak and innovative products are at high demand firms are forced to workin a collaborative manner The product data must be lively available to all the collaborated partnersAlthough on-premise Product Lifecycle Management (PLM) systems are offering the collaborationsand product data management throughout the products lifecycle the Internet of Things (IoT) eraoffers more connectivity at a lesser cost Though most large manufacturing firms have established theon-premise PLM systems yet face some difficulties related to maintenance and upgradations of in-house information technology (IT) infrastructure Hence cloud PLM is under consideration foradoption among many large manufacturing firms However there are several challenges associatedwith cloud PLM adoption decision This work intends to find out the challenges which largemanufacturing firms face while deciding to adopt cloud PLM The empirical investigations have beenattempted to find out the relations among the challenges faced and to provide the guideline on how tofind out the core challenges which needs to be attended before adopting cloud PLM in largemanufacturing firms

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844276

DOI 101109IEA20188387085

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionProduct lifecycle management (PLM) systems are the IT tools [1] which support the PLMbusiness concept [2] to manage the whole lifecycle of a product in firms PLM systems help totransform the organizations into digitized era and make them technologically robust by giving a3D product designing and virtual manufacturing opportunity [3] PLM systems help in substantialcost savings by reducing the real manufacturing efforts Product-related knowledge must need tobe preserved so that it can help in the other phases of product lifecycle such as repair overhaulreuse recycle and or disposal of the product Increasing number of enterprise informationsystems stakeholders and product related information demand the need for a managementapproach which makes the managers capable of managing all the dispersed product informationat one common repository for reuse

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Shikha SinghDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India

Subhas Chandra MisraDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India

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The automation of the technological processesin the Manufacturing Internet of Things contextfor the pharmaceutical enterprises2018 IEEE 9th International Conference onDependable Systems Services andTechnologies (DESSERT)Published 2018

Integration of ERP and Internet of Things inIntelligent Enterprise Management2018 1st International Cognitive CitiesConference (IC3)Published 2018

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raquo Update Address

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raquo View Purchased Documents

Profile Information

raquo Communications Preferences

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raquo Technical Interests

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raquo US amp Canada +1 800 678 4333

raquo Worldwide +1 732 981 0060

raquo Contact amp Support

A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|

My Settings Get HelpBrowse Subscribe

Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance

During this time saved searches will not be editable We apologize for any inconvenience

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Conferences gt 2018 5th International Confer

3 Author(s) Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong View All Authors

Innovative product development of fabric glass interlayer

39FullText Views

Abstract

Document Sections

I Introduction

II Methodology

III Conclusion

Authors

Figures

References

Keywords

MetricsPublished in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

References

Keywords

Metrics

AbstractA glass manufacturer in Thailand developed the laminated fabric glass as innovative product in 2013but sales had declined in 2016 Customers survey shows that the satisfaction level decreased due tolong production lead time high-selling price and long installation time This paper aims to develop anew innovative fabric glass interlayer product by adopting 5D innovation development process 5Dconsists of Discover Define Design Develop and Deploy Firstly discover phase adopted Five ForcesAnalysis Customer Behavior Analysis and Customers Satisfaction Survey for specifying marketposition and seeking the hidden customers expectations Define is to summarize the project charteras initiation step in the project management and to scope resources and timeframe Design weadopted the integration of QFD Kano Model and Product Quality Index for prioritizing and translatingcustomer expectations to product specifications Then all concepts were concluded by Pugh MatrixWeighted Sum Score and confirmed the selected concept by financial feasibility study Developprocess is to prototyping to verify the production before scale up Finally generated the riskassessment plan by FMEA and contributed the business plan to ensure the effectivecommercialization in Deploy The developed fabric glass interlayer shows higher customer satisfactionlevel by shorten production lead time from 14 days to 8 days (4285) lower price from 790 bahtft to 485 bahtft (3861) and shorten installation time from 180 minutes to 45 minutes (75)

2

2

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844226

DOI 101109IEA20188387141

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionThe case company is one of the glass manufacturers in Thailand who process the fundamentalfunctional building glass tempered and laminated glass for the architectural construction andinterior decoration The companys vision was stated to be the leader of glass innovation within2022 To be the leader of the glass innovation case company should focus on the continuousinnovative product development The mainly innovative product that had been sold for manyyears was the fabric glass as 52 52 and 47 in 2015 2016 and 2017 respectively

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Ploynaplus ThanasirithamDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

Natcha ThawesaengskulthaiDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

Prasert AkkharaprathomphongDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

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raquo Change UsernamePassword

raquo Update Address

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raquo Communications Preferences

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raquo US amp Canada +1 800 678 4333

raquo Worldwide +1 732 981 0060

raquo Contact amp Support

A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

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Conferences gt 2018 5th International Confer

2 Author(s) Jingying Huang Liya Wang View All Authors

Makespan minimization on single batch-processing machine consideringpreventive maintenance

37FullText Views

Abstract

Document Sections

I Introduction

II Problem Description

III Batching Rule

IV Improved Heuristics

V ComputationalResults andDiscussions

Show Full Outline

Authors

Figures

References

Keywords

Metrics

Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

References

Keywords

Metrics

AbstractThis paper considers the problem of minimizing makespan on a single batch-processing machineconsidering preventive maintenance A mathematical model for integrating flexible preventivemaintenance into the batch-processing machine scheduling is proposed A two-stage method isproposed to solve the problem A batching rule considering maintenance is proposed to group jobsinto batches firstly And then we improve existing heuristics to schedule production and maintenanceComputational results indicate that the two-stage method based on proposed batching rule andimproved heuristics is effective

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844275

DOI 101109IEA20188387113

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionBPM (Batch processing machine) problem has attracted many researchers in recent years BPMis able to process a group of jobs as long as the number of jobs in the batch is less than or equalto the capacity of the machine To minimize total flow time Rui Xu [1] proposed an ant colonyalgorithm combined with the candidate list NR Parsa [2] proposed an algorithm using a hybridmax-min ant system AH Kashan [3] proposed a batch based hybrid genetic algorithm thatgenerates random batches of jobs and ensures feasibility To minimize total earliness andtardiness of the jobs NR Parsa [4] proposed a dynamic programming algorithm and severalheuristics BPM problem is practically applied in many manufacturing industries One of them issemiconductor wafer manufacturing industry BPM problem is applied in the furnace area in themanufacturing process of semiconductor wafers The machine is only shared by jobs requiringthe particular processing operation [5] That is in reality only semiconductor wafers with thesame kind of process can be grouped into a batch However the papers above did not take thisconstraint into consideration They assumed the jobs with different processing time can begrouped into the same batches Also the above papers did not consider about maintenancewhen grouping and scheduling jobs

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Jingying HuangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina

Liya WangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina

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ACO-based Parallel Machine SchedulingConsidering Both Setup Time and Run-basedPreventive Maintenance with ReliabilityConstraints2018 IEEE International Conference onIndustrial Engineering and EngineeringManagement (IEEM)Published 2018

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KEYNOTE AND INVITE SPEAKERS

Keynote Speech

Keynote Speech ndashI

Abstract of speech

Many products are designed to last longer than

the typical lifespan of human being Its thus a

challenge to validate the design life through

reliability tests even when testing is conducted

under much harsher environment Not only that

test duration is usually constrained but the

samples available for testing may also be costly

andor limited in quantity Statistically optimal

plans will allow for efficient use of testing

resources and yet derive the most information

from the test In this presentation we shall

discuss ideas related to designing test plans for

both constant stress and step stress ALT leading

to the statistical optimal plan for sequential ALT

While that of constant ALT is basically a Bayesian

approach that for the step stress ALT requires

solving a dynamic program using backward

induction For the latter optimal solutions are

only available for exponential lifetime and there

are rooms for further research

Loon Ching TANG

BIO Dr Loon Ching TANG is currently the Director of

Temasek Defence Systems Institute and Professor of

Department of Industrial Systems Engineering and

Management at the National University of Singapore

He obtained his PhD degree from Cornell University in

the field of Operations Research in 1992 and has

published extensively in areas related to industrial

engineering and operations research He has been

presented with a number of best paper awards

including the IIE Transactions 2010 Best Application

Paper Award and 2012 RA EvansPK McElroy Award

for the best paper at Annual RAMS Prof Tang is the

main author of the award-winning book Six Sigma

Advanced Tools for Black Belts and Master Black Belts

Besides being active in the forefront of academic

research in the last 25 years Prof Tang has served as

consultant for many organizations such as the

Ministry of Home Affair Singapore Power Republic of

Singapore Air Force Seagate HP Phillips etc on a

wide range of projects aiming at improving

organizational and operations efficiency especially

through better management of engineering assets He

is currently a fellow of ISEAM the Editor of Quality amp

Reliability Engineering International and an editorial

review board member of the flagship journal of ASQ

Journal of Quality Technology (since 2006) He has

served as the Region VP (Asia) of IIE (2013-16) and a

member of the advisory board of the Singapore

Innovation and Productivity Institute

Apr 26(Thu) 2018 1305-1350

Auditorium Room

ldquoPlanning Sequential Accelerated Life Testingrdquo

Prof Loon Ching TANG

National University of Singapore Singapore

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Highlight

Keynote Speech ndashII

George ZHANG

BIO Professor Zhe George Zhang is a professor of

Management Science in the Department of Decision

Sciences at Western Washington University and a

professor of Operations Management in Beedie

School of Business at Simon Fraser University He is

also visiting professor of Sauder School of Business

at the University of British Columbia Dr Zhang

received his BS in Computer Science and MA in

Economics from Nankai University China his MBA

from the Schulich School of Business at York

University and his PhD in Operations research from

the University of Waterloo Professor Zhang has

published many papers in prestigious journals such

as Management Science Operations Research

Manufacturing amp Service Operations Management

Production and Operations Management IIE

Transactions IEEE Transactions Queueing Systems

Journal of Applied Probability Co-authored with

Professor Tian in 2006 he published the research

monograph Vacation Queueing Models - Theory

and Applications the first book on this particular

topic (now highly cited) Professor Zhangs research

interests include queueing theory and applications

and stochastic models for manufacturing and

service systems The main theme of his research is

to bridge the gap between theory and application

obtaining unobservable and sometimes

counter-intuitive but significantpractical

management insights via modeling and quantitative

analysis Currently he is particularly interested in

the quantitative and economic analysis of the

congestion problems in urbanmass transportation

networks healthmedical care systems and public

service systems with both customer service quality

and security concerns As an expert in data analysis

and quantitative modeling he has consulted in

industry and has given research seminars and short

lectures at leading universities around the world He

was invited to present plenary or keynote talks in

several international conferences Professor Zhang

is the one of Editor-in-Chiefs for new journal

Queueing Models and Service Management aan

associate editor of INFOR (Information Systems and

Operations Research) and is on the editorial board

of several international journals in Operations

Research and Management Science

Apr 26(Thu) 2018 1350-1435

Auditorium Room

ldquordquo

Prof George ZHANG

Western Washington University USA

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Highlight

Keynote Speech ndashIII

Abstract of speech

The purpose of this paper is to investigate the

generalized age maintenance policies for a system

with random working times When the system fails

it is subject to one of two types of failures with

age-dependent probability type I failure can be

removed by minimal repair and type II failure must

be rectified by replacementA First the system is

preventively replaced before type II failure at time T

or at the completion of Nth working projects

whichever occurs first Two modified models where

the system is preventively replaced before type II

failure at time T or at the completion of Nth

working projects whichever occurs last and it is

preventively replaced at the first completion of the

working project over time T or at the completion of

Nth working projects whichever occurs first are

considered By introducing costs due to repairs

maintenance and replacement the expected cost

per unit time is derived as a criterion of optimality

and the optimal policy that minimizes that cost is

discussed analytically

Shey-Huei SHEU

BIO Professor Shey-Huei Sheu is a Chair Professor

of Department of Statistics and Informatics Science

at the Providence University He is an Honorary

Chair Professor of the Department of Industrial

Management at the National Taiwan University of

Science and Technology He received his MS

degree (1979) in applied mathematics from the

National Tsing Hua University and his PhD degree

(1987) in statistics from the University of Kentucky

He has published in journals such as Naval Research

Logistics Journal of Applied Probability RAIRO

Operations Research Microelectronics and

Reliability Reliability Engineering and System Safety

International Journal of Systems Science Quality

and Reliability Engineering International

International Journal of Reliability Quality and

Safety Engineering Journal of the Operational

Research Society European Journal of the

Operational Research Computers and Operation

Research Computers and Industrial Engineering

Quality Engineering Asia-Pacific Journal of the

Operational Research Communications in

Statistics-Theory and Methods Computers and

Mathematics with Applications Simulation

Modeling Practice and Theory Communications in

Statistics-Simulation and Computation Journal of

Statistical Computation and Simulation

International Journal of Production Economics

Quality Technology and Quantitative Management

The International Journal of Advanced

Manufacturing Technology Expert Systems

International Journal of Computer Mathematics

Journal of Applied Statistics Production Planning

and Control International Journal of Production

Research Applied Mathematical Modelling IEEE

Transactions on Reliability and Annals of

Operations Research

Apr 26(Thu) 2018 1435-1520

Auditorium Room

ldquoThe Generalized Age Maintenance Policies with

Random Working Timesrdquo

Prof Shey-Huei SHEU

Providence University Taiwan

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Highlight

Keynote Speech ndashIV

Abstract of speech

IEEE 80211ah a specification belonging to 80211

wireless local area network (WLAN) protocol family

has been recently released to support the

long-range low-power and low-rate wireless

communication among smart devices used in

Internet of Thing (IoT) systems However security

requirements of the energy-constrained devices

have plenty of issues different from the traditional

wireless devices It requires that the lightweight

security protocols have to support low-power and

low-latency as well as the long-lasting features of

quantities of IoT devices The recently released IEEE

statndard IEEE 80211ai has specified a Fast Initial

Link Setup (FILS) which is a brand-new approach

aiming at establishing fast stable and secure links

among smart devices IEEE 80211ai could be applied

to other wireless systems such as the wireless

system of IEEE 80211ah with security

enhancements In this talk I would address the

secureity issues of IEEE 80211ai and IEEE 80211ah

with an new proposal to enhance the

authentication process in the link setup procedure

specified by IEEE 80211ai

Maode MA

BIO Dr Maode Ma is a Fellow of IET He received his

PhD degree in computer science from Hong Kong

University of Science and Technology in 1999 Now

Dr Ma is an Associate Professor in the School of

Electrical and Electronic Engineering at Nanyang

Technological University in Singapore He has

extensive research interests including network

security and wireless networking Dr Ma has about

350 international academic publications including

over 160 journal papers and about 190 conference

papers He has delivered over 50 keynote speeches

at various international conferences He has served

as various chairs for over 100 international

conferences He currently serves as the

Editor-in-Chief of International Journal of Computer

and Communication Engineering and International

Journal of Electronic Transport He also serves as a

Senior Editor or an Associate Editor for other 4

international academic journals Dr Ma is a Senior

Member of IEEE Communication Society and IEEE

Education Society and a Member of ACM He is the

Chair of the IEEE Education Society Singapore

Chapter and the Chair of the ACM Singapore

Chapter He has served as an IEEE Communication

Society Distinguished Lecturer from 2013-2016

Apr 26(Thu) 2018 1530-1615

Auditorium Room

ldquoEfficient and Secure Authentication Schemes for

IEEE 80211ah Networks rdquo

Prof Maode MA

Nanyang Technological University Singapore

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Highlight

Keynote Speech ndashV

Abstract of speech

Stochastic aircraft routing (SAR) plays a critical role

in defining the routing plans of airlines which

include assigning the aircraft to flight legs and

determining the time and location of maintenance

to the aircraft Based on the routing plan specified

by the airlines the maintenance providers should

schedule their workforce to perform maintenance

operations by solving the maintenance staffing

problem (MSP) MSP helps maintenance providers

to build their staffing plans which include the

assignment of manpower to each aircraft so that

aircraft receive the required maintenance

operations as planned Practically for airlines the

routing plan will be interrupted (eg flight delays) if

an aircraft cannot be released from the

maintenance station punctually Similarly for

maintenance providers if an aircraft misses the

scheduled appointment at the maintenance station

this will also cause a huge interruption to their

staffing plan Therefore there is an interrelationship

between SAR and MSP In the literature the focus

of each problem has been traditionally considered

separately with only limited consideration of their

interrelationship In this paper we study SAR along

with MSP with the objective of investigating the

interrelationship between SAR and MSP For this

purpose we propose a coordinated configuration

of SAR and MSP that is formulated as a

leader-follower Stackelbery game in which SAR

acts as a leader and MSP acts as a follower This

game is enacted through a bi-level optimization

model which is solved by a bi-level nested ant

colony optimization (ACO) algorithm A case study

of a major airline and maintenance provider located

in the Middle East is presented to demonstrate the

feasibility and potential of the proposed model The

results demonstrate significant saving in the costs

of both companies

Felix TS CHAN

BIO Professor Felix T S Chan received his BSc

Degree in Mechanical Engineering from Brighton

Polytechnic (now University) UK and obtained his

MSc and PhD in Manufacturing Engineering from

the Imperial College of Science and Technology

University of London UK Professor Chan is now

working at the Department of Industrial and

Systems Engineering The Hong Kong Polytechnic

University and also serving as Associate Dean

(Research) at the Faculty of Engineering His current

research interests are Logistics and Supply Chain

Management Operations Management

Distribution Coordination Systems Modelling and

Simulation AI Optimisation To date he has

published 16 book chapters over 300 refereed

international journal papers and 250 peer reviewed

international conference papers h index= 30 under

the Web of Science He is a chartered member of

the Chartered Institute of Logistics and Transport in

Hong Kong According to a study lately published in

the International Journal of Production Research

(httpdxdoiorg1010800020754320151037935)

the study measured the research contributions over

a 26-year time frame (1985-2010) of academic

institutions and individual authors to the field of

Apr 26(Thu) 2018 1615-1700

Auditorium Room

ldquoInvestigating the Interrelationship between

Stochastic Aircraft Routing of Airlines and

Maintenance Staffing of Maintenance Providersrdquo

Prof Felix TS CHAN

The Hong Kong Polytechnic University Hong Kong

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Highlight

Operations Management (OM) based on published

articles in 11 top-rated and well-known academic OM

journals Professor Chan was among the top 50

prolific authors list who have made the greatest

overall contribution to the field as measured by the

number of distributed and shared articles published

in the 11 designated journals Also Professor Chan

was Ranked No 3 in The top 100 authors as the

most productive researchers in the field of

Operations Management over the past 10 years

(2001-2010)

COMMITTEE

ICIEA 2018 Organizing Committee

International Advisory Committee

Zhe George Zhang Western Washington University USA

Conference Chairs

Felix T S Chan The Hong Kong Polytechnic University Hong Kong

Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan

Local Organizing Chair

TANG Loon Ching National University of Singapore Singapore

Organizing and Program Committees

Seoung Bum Kim School of Industrial Mangement Engineering Korea University

Usik Lee Inha University Korea

Maode Ma Nanyang Technological University Singapore

Finance Chair

Minghan Xi Dalian Maritime University China

International Technical Committees

Cheng-Feng HuNational Chiayi University Taiwan

Dong-Yuh YangNational Taipei University of Business Taiwan

Mario HirzGraz University of Technology Austria

Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt

Po-Hsiang Liu College of Business and Management in St Johns University USA

Taesu Cheong Korea University Korea

Tien-Lun Liu Chung Yuan Christian University Taiwan

Wei CaiWuhan University of Technology China

Jinguo Huang Huazhong University of Science and Technology China

Yu-Chung Tsao National Taiwan University of Science Technology Taiwan

Yip Mum WaiTunku Abdul Rahman University College Malaysia

Pule Kholopane University of Johannesburg South Africa

Bonivasius Prasetya Ichtiarto mercu buana university Indonesia

Elita Amrina Andalas University Indonesia

Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan

Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong

Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia

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Highlight
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Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India

Byung Do Chung Yonsei University Korea

M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia

Sandeep Singhal National Institute of Technology India

J W Wang The University of Hong Kong Hong Kong

Ching-Chang Kuo National Taichung University of Science and Technology Taiwan

Kuo-Hsiung Wang Providence University Taiwan

ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia

Sangbok Lee Hansung University Korea

Adrian E Coronado Mondragon Royal Holloway University of London UK

Chin-I Lee Ling Tung University Taiwan

S H ChoiUniversity of Hong Kong Hong Kong

Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan

Wei Cai Wuhan University of Technology China

Hashibah Hamid Universiti Utara Malaysia Malaysia

TMA Ari Samadhi Bandung Institute of Technology Indonesia

Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia

Pi-Chun Hsu Chaoyang University of Technology Taiwan

Mu-Chen Chen National Chiao Tung University Taiwan

Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan

Tsu-Wei Yu Chaoyang University of Technology Taiwan

Lingyun Wei Beijing University of Posts and Telecommunications China

Hamdi Bashir University of sharjahUnited Arab Emirates

LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand

LIU Hai-peng Kunming University of Science and Technology China

Elfira Febriani Trisakti University Indonesia

Yu-Hsiang Hsiao National Taipei University Taiwan

Chien-Chih Wang Ming Chi University of Technology Taiwan

Atichart Harncharnchai Chiang Mai University Thailand

Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)

Switzerland

Bambang Suhardi Universitas Sebelas Maret Indonesia

Ssu Han Chen Ming Chi University of Technology Taiwan

Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia

Augustina Asih Rumanti Bandung Institute of Technology Indonesia

Maheshwar Dwivedy BML Munjal University India

Zhichuan Guan China university of petroleum (East China) China

Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia

Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia

Yenming J Chen National Kaohsiung University of Science and Technology Taiwan

Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia

TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand

Li Li Nanjing University of Science and Technology China

SERTIFIKAT

Page 21: Nilai Maksimal Prosiding - eprints.undip.ac.ideprints.undip.ac.id/70482/1/...of_GSCM_practice_peer_review_lengkap.pdf · discriminant function as Z= (0.238-IeM) + (0.602-GPU) + (1.161-CCO)

xii

A Sustainability Assessment of Electricity Supply Systems 565

Ndala Yves Mulongo Pule Kholopane

Author Index

1040-1210 Friday 27 Apr

Session B-2 Supply Chain Management Venue Lemongrass Room

Chair

N066

Time 1040-1055

A study on Healthcare-product Supply Chain with a group purchasing organization Ms Yin Han Lingyun Wei Beijing University of posts and telecommunications Beijing China

In order to better understand the impact of group purchasing organization (GPO) on healthcare-product supply chain we build a supply chain model consisting of one manufacturer one competitive source one group purchasing organization(GPO) and n healthcare providers for a single product Providers may purchase from any source for minimizing their total costs Through considering different providersrsquo demands power schemes and revenue sharing between GPO and providers we analyze the performance of supply chain and its members under various situations Numerical examples show some interesting findings (1) When GPO dominates the supply chain GPO can obtain more profits (2)When manufacturer dominates the supply chain and GPO shares its revenue with providers there exists specific revenue sharing rates which increase GPOrsquos profits and reduce providersrsquo cost (3) Manufacturer always can achieve a same optimal profit by changing quantity discount rate when GPO dominates supply chain and shares its revenue with providers

N108

Time 1055-1110

Exploring the Implementation of Green Supply Chain with Cluster and Discriminant Analysis Case Study Furniture Industry at Central Java Semarang Dr Aries Susanty Diana Puspitasari Diponegoro Univeristy Indonesia This study has two objectives First this study aims to categorize the level of the implementation of Green Supply Chain Management (GSCM) practice among Small and Medium Enterprises (SMEs) of wooden furniture in several clusters Second this study aims to find the linear combination of five dimensions of GSCM practices that will discriminate best between prior defined clusters The study used primary data through questionnaires enclosed with the Likert scale 1-5 at 162 SMEs of wooden furniture located in Surakarta Jepara Semarang and Kudus The raw data level of implementation of five dimensions of GSCM practice is analyzed using K-Means cluster and discriminant analysis with the aid of the Statistical Package for the Social Sciences (SPSS) software The result of K-Means cluster analysis indicated that a two-cluster is the optimal number of a group for separating the data of the level of implementation of GSSM practice among SMEs of wooden furniture and the two clusters founded in this research are labeled as early adopter and laggards Then the result of the discriminant analysis indicated that as high as 9877 of the SMEs of wooden furniture was classified correctly The result of discriminant analysis also revealed the discriminant function as Z= (0238IEM) + (0602GPU) + (1161CCO) + (1128ECO) + (1126IRE) - 13124 and the threshold for evaluating a discriminant score of

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All Enter keywords or phrases (Note Searches metadata only by default A search for smart grid = smart AND grid)

Advanced Search | Other Search Options

Conferences gt 2018 5th International Confer

3 Author(s) Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa View All Authors

Demand management practices in the manufacturing industry An empiricalSouth African perspective

38FullText Views

Abstract

Document Sections

I Introduction

II Literature Review

III Methodology

IV Resultsampinterpretations

V Conclusion

Authors

Figures

References

Keywords

Metrics

Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

References

Keywords

Metrics

AbstractThis paper aims to identify and explore Demand Management (DM) practices used within the SouthAfrican Manufacturing industry The study followed a qualitative design approach in order to identifythe relationship between DM methods such as forecasting and the best practices used by therespondents Therefore a purposive sampling technique was used whereby a questionnaire was sentout via email to 15 manufacturing companies before meeting them for a face to face interviewconducted in two weeks Respondents varied from different industries such as automotive wood andpaper chemical food and beverage etc The results demonstrated that although the respondents areaware of the best practices for a good DM system they generally do not apply them entirely becauseof factors like fear of implementing change and failure to quickly adapt themselves to the change thatwould come with those best practices In addition the results also revealed that forecasting is themost used DM method by the respondents and a simple forecasting average is used to predict futuredemand Depending on the company the forecast is done either by a team or by functional areas

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844216

DOI 101109IEA20188387071

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionThe importance of satisfying the customer by meeting the demand has long been recognized bymanagers as crucial to making the organization successful However numerous problems occurand many factors need to be considered in order to give the customer what they want how theywant it as well as where and when they want it Failure to understand crucial characteristics ofdemand will result in supply shortage or excessive stock that will place serious financial burdenson the organization subsequently leading to a loss of market share and customers

Sign in to Continue Reading

Eric Bakama MikobiDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

Eveth Nwobodo-AnyadiegwuDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

Charles MbohwaDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

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An integrative framework of knowledgemanagement enabled supply chainmanagement2008 IEEE International Conference onIndustrial Engineering and EngineeringManagementPublished 2008

An empirical approach for the application ofknowledge management on downstream supplychain management of Indian public sector oilcompanies2017 Fourteenth International Conference onWireless and Optical Communications Networks(WOCN)Published 2017

View More

Advertisement

Click to Expand

See the top organizations patenting intechnologies mentioned in this article

IEEE Account

raquo Change UsernamePassword

raquo Update Address

Purchase Details

raquo Payment Options

raquo Order History

raquo View Purchased Documents

Profile Information

raquo Communications Preferences

raquo Profession and Education

raquo Technical Interests

Need Help

raquo US amp Canada +1 800 678 4333

raquo Worldwide +1 732 981 0060

raquo Contact amp Support

A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|

My Settings Get HelpBrowse Subscribe

Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance

During this time saved searches will not be editable We apologize for any inconvenience

Lenovo
Highlight

Institutional Sign In

IEEEorg IEEE Xplore Digital Library| IEEE-SA| IEEE Spectrum| More Sites| Cart (0) Create Account| Personal Sign In|

All Enter keywords or phrases (Note Searches metadata only by default A search for smart grid = smart AND grid)

Advanced Search | Other Search Options

Conferences gt 2018 5th International Confer

2 Author(s) Shikha Singh Subhas Chandra Misra View All Authors

Core challenges to cloud PLM adoption in large manufacturing firms

60FullText Views

Abstract

Document Sections

I Introduction

II Literature Review

III ResearchMethodology

IV Case Study and DataAnalysis

V Result and Discussion

Show Full Outline

Authors

Figures

References

Keywords

Metrics

Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

References

Keywords

Metrics

AbstractAs the globalization is at its peak and innovative products are at high demand firms are forced to workin a collaborative manner The product data must be lively available to all the collaborated partnersAlthough on-premise Product Lifecycle Management (PLM) systems are offering the collaborationsand product data management throughout the products lifecycle the Internet of Things (IoT) eraoffers more connectivity at a lesser cost Though most large manufacturing firms have established theon-premise PLM systems yet face some difficulties related to maintenance and upgradations of in-house information technology (IT) infrastructure Hence cloud PLM is under consideration foradoption among many large manufacturing firms However there are several challenges associatedwith cloud PLM adoption decision This work intends to find out the challenges which largemanufacturing firms face while deciding to adopt cloud PLM The empirical investigations have beenattempted to find out the relations among the challenges faced and to provide the guideline on how tofind out the core challenges which needs to be attended before adopting cloud PLM in largemanufacturing firms

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844276

DOI 101109IEA20188387085

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionProduct lifecycle management (PLM) systems are the IT tools [1] which support the PLMbusiness concept [2] to manage the whole lifecycle of a product in firms PLM systems help totransform the organizations into digitized era and make them technologically robust by giving a3D product designing and virtual manufacturing opportunity [3] PLM systems help in substantialcost savings by reducing the real manufacturing efforts Product-related knowledge must need tobe preserved so that it can help in the other phases of product lifecycle such as repair overhaulreuse recycle and or disposal of the product Increasing number of enterprise informationsystems stakeholders and product related information demand the need for a managementapproach which makes the managers capable of managing all the dispersed product informationat one common repository for reuse

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Shikha SinghDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India

Subhas Chandra MisraDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India

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The automation of the technological processesin the Manufacturing Internet of Things contextfor the pharmaceutical enterprises2018 IEEE 9th International Conference onDependable Systems Services andTechnologies (DESSERT)Published 2018

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Conferences gt 2018 5th International Confer

3 Author(s) Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong View All Authors

Innovative product development of fabric glass interlayer

39FullText Views

Abstract

Document Sections

I Introduction

II Methodology

III Conclusion

Authors

Figures

References

Keywords

MetricsPublished in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

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References

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Metrics

AbstractA glass manufacturer in Thailand developed the laminated fabric glass as innovative product in 2013but sales had declined in 2016 Customers survey shows that the satisfaction level decreased due tolong production lead time high-selling price and long installation time This paper aims to develop anew innovative fabric glass interlayer product by adopting 5D innovation development process 5Dconsists of Discover Define Design Develop and Deploy Firstly discover phase adopted Five ForcesAnalysis Customer Behavior Analysis and Customers Satisfaction Survey for specifying marketposition and seeking the hidden customers expectations Define is to summarize the project charteras initiation step in the project management and to scope resources and timeframe Design weadopted the integration of QFD Kano Model and Product Quality Index for prioritizing and translatingcustomer expectations to product specifications Then all concepts were concluded by Pugh MatrixWeighted Sum Score and confirmed the selected concept by financial feasibility study Developprocess is to prototyping to verify the production before scale up Finally generated the riskassessment plan by FMEA and contributed the business plan to ensure the effectivecommercialization in Deploy The developed fabric glass interlayer shows higher customer satisfactionlevel by shorten production lead time from 14 days to 8 days (4285) lower price from 790 bahtft to 485 bahtft (3861) and shorten installation time from 180 minutes to 45 minutes (75)

2

2

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844226

DOI 101109IEA20188387141

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionThe case company is one of the glass manufacturers in Thailand who process the fundamentalfunctional building glass tempered and laminated glass for the architectural construction andinterior decoration The companys vision was stated to be the leader of glass innovation within2022 To be the leader of the glass innovation case company should focus on the continuousinnovative product development The mainly innovative product that had been sold for manyyears was the fabric glass as 52 52 and 47 in 2015 2016 and 2017 respectively

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Ploynaplus ThanasirithamDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

Natcha ThawesaengskulthaiDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

Prasert AkkharaprathomphongDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

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Conferences gt 2018 5th International Confer

2 Author(s) Jingying Huang Liya Wang View All Authors

Makespan minimization on single batch-processing machine consideringpreventive maintenance

37FullText Views

Abstract

Document Sections

I Introduction

II Problem Description

III Batching Rule

IV Improved Heuristics

V ComputationalResults andDiscussions

Show Full Outline

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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

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AbstractThis paper considers the problem of minimizing makespan on a single batch-processing machineconsidering preventive maintenance A mathematical model for integrating flexible preventivemaintenance into the batch-processing machine scheduling is proposed A two-stage method isproposed to solve the problem A batching rule considering maintenance is proposed to group jobsinto batches firstly And then we improve existing heuristics to schedule production and maintenanceComputational results indicate that the two-stage method based on proposed batching rule andimproved heuristics is effective

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844275

DOI 101109IEA20188387113

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionBPM (Batch processing machine) problem has attracted many researchers in recent years BPMis able to process a group of jobs as long as the number of jobs in the batch is less than or equalto the capacity of the machine To minimize total flow time Rui Xu [1] proposed an ant colonyalgorithm combined with the candidate list NR Parsa [2] proposed an algorithm using a hybridmax-min ant system AH Kashan [3] proposed a batch based hybrid genetic algorithm thatgenerates random batches of jobs and ensures feasibility To minimize total earliness andtardiness of the jobs NR Parsa [4] proposed a dynamic programming algorithm and severalheuristics BPM problem is practically applied in many manufacturing industries One of them issemiconductor wafer manufacturing industry BPM problem is applied in the furnace area in themanufacturing process of semiconductor wafers The machine is only shared by jobs requiringthe particular processing operation [5] That is in reality only semiconductor wafers with thesame kind of process can be grouped into a batch However the papers above did not take thisconstraint into consideration They assumed the jobs with different processing time can begrouped into the same batches Also the above papers did not consider about maintenancewhen grouping and scheduling jobs

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Jingying HuangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina

Liya WangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina

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KEYNOTE AND INVITE SPEAKERS

Keynote Speech

Keynote Speech ndashI

Abstract of speech

Many products are designed to last longer than

the typical lifespan of human being Its thus a

challenge to validate the design life through

reliability tests even when testing is conducted

under much harsher environment Not only that

test duration is usually constrained but the

samples available for testing may also be costly

andor limited in quantity Statistically optimal

plans will allow for efficient use of testing

resources and yet derive the most information

from the test In this presentation we shall

discuss ideas related to designing test plans for

both constant stress and step stress ALT leading

to the statistical optimal plan for sequential ALT

While that of constant ALT is basically a Bayesian

approach that for the step stress ALT requires

solving a dynamic program using backward

induction For the latter optimal solutions are

only available for exponential lifetime and there

are rooms for further research

Loon Ching TANG

BIO Dr Loon Ching TANG is currently the Director of

Temasek Defence Systems Institute and Professor of

Department of Industrial Systems Engineering and

Management at the National University of Singapore

He obtained his PhD degree from Cornell University in

the field of Operations Research in 1992 and has

published extensively in areas related to industrial

engineering and operations research He has been

presented with a number of best paper awards

including the IIE Transactions 2010 Best Application

Paper Award and 2012 RA EvansPK McElroy Award

for the best paper at Annual RAMS Prof Tang is the

main author of the award-winning book Six Sigma

Advanced Tools for Black Belts and Master Black Belts

Besides being active in the forefront of academic

research in the last 25 years Prof Tang has served as

consultant for many organizations such as the

Ministry of Home Affair Singapore Power Republic of

Singapore Air Force Seagate HP Phillips etc on a

wide range of projects aiming at improving

organizational and operations efficiency especially

through better management of engineering assets He

is currently a fellow of ISEAM the Editor of Quality amp

Reliability Engineering International and an editorial

review board member of the flagship journal of ASQ

Journal of Quality Technology (since 2006) He has

served as the Region VP (Asia) of IIE (2013-16) and a

member of the advisory board of the Singapore

Innovation and Productivity Institute

Apr 26(Thu) 2018 1305-1350

Auditorium Room

ldquoPlanning Sequential Accelerated Life Testingrdquo

Prof Loon Ching TANG

National University of Singapore Singapore

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Highlight

Keynote Speech ndashII

George ZHANG

BIO Professor Zhe George Zhang is a professor of

Management Science in the Department of Decision

Sciences at Western Washington University and a

professor of Operations Management in Beedie

School of Business at Simon Fraser University He is

also visiting professor of Sauder School of Business

at the University of British Columbia Dr Zhang

received his BS in Computer Science and MA in

Economics from Nankai University China his MBA

from the Schulich School of Business at York

University and his PhD in Operations research from

the University of Waterloo Professor Zhang has

published many papers in prestigious journals such

as Management Science Operations Research

Manufacturing amp Service Operations Management

Production and Operations Management IIE

Transactions IEEE Transactions Queueing Systems

Journal of Applied Probability Co-authored with

Professor Tian in 2006 he published the research

monograph Vacation Queueing Models - Theory

and Applications the first book on this particular

topic (now highly cited) Professor Zhangs research

interests include queueing theory and applications

and stochastic models for manufacturing and

service systems The main theme of his research is

to bridge the gap between theory and application

obtaining unobservable and sometimes

counter-intuitive but significantpractical

management insights via modeling and quantitative

analysis Currently he is particularly interested in

the quantitative and economic analysis of the

congestion problems in urbanmass transportation

networks healthmedical care systems and public

service systems with both customer service quality

and security concerns As an expert in data analysis

and quantitative modeling he has consulted in

industry and has given research seminars and short

lectures at leading universities around the world He

was invited to present plenary or keynote talks in

several international conferences Professor Zhang

is the one of Editor-in-Chiefs for new journal

Queueing Models and Service Management aan

associate editor of INFOR (Information Systems and

Operations Research) and is on the editorial board

of several international journals in Operations

Research and Management Science

Apr 26(Thu) 2018 1350-1435

Auditorium Room

ldquordquo

Prof George ZHANG

Western Washington University USA

Lenovo
Highlight

Keynote Speech ndashIII

Abstract of speech

The purpose of this paper is to investigate the

generalized age maintenance policies for a system

with random working times When the system fails

it is subject to one of two types of failures with

age-dependent probability type I failure can be

removed by minimal repair and type II failure must

be rectified by replacementA First the system is

preventively replaced before type II failure at time T

or at the completion of Nth working projects

whichever occurs first Two modified models where

the system is preventively replaced before type II

failure at time T or at the completion of Nth

working projects whichever occurs last and it is

preventively replaced at the first completion of the

working project over time T or at the completion of

Nth working projects whichever occurs first are

considered By introducing costs due to repairs

maintenance and replacement the expected cost

per unit time is derived as a criterion of optimality

and the optimal policy that minimizes that cost is

discussed analytically

Shey-Huei SHEU

BIO Professor Shey-Huei Sheu is a Chair Professor

of Department of Statistics and Informatics Science

at the Providence University He is an Honorary

Chair Professor of the Department of Industrial

Management at the National Taiwan University of

Science and Technology He received his MS

degree (1979) in applied mathematics from the

National Tsing Hua University and his PhD degree

(1987) in statistics from the University of Kentucky

He has published in journals such as Naval Research

Logistics Journal of Applied Probability RAIRO

Operations Research Microelectronics and

Reliability Reliability Engineering and System Safety

International Journal of Systems Science Quality

and Reliability Engineering International

International Journal of Reliability Quality and

Safety Engineering Journal of the Operational

Research Society European Journal of the

Operational Research Computers and Operation

Research Computers and Industrial Engineering

Quality Engineering Asia-Pacific Journal of the

Operational Research Communications in

Statistics-Theory and Methods Computers and

Mathematics with Applications Simulation

Modeling Practice and Theory Communications in

Statistics-Simulation and Computation Journal of

Statistical Computation and Simulation

International Journal of Production Economics

Quality Technology and Quantitative Management

The International Journal of Advanced

Manufacturing Technology Expert Systems

International Journal of Computer Mathematics

Journal of Applied Statistics Production Planning

and Control International Journal of Production

Research Applied Mathematical Modelling IEEE

Transactions on Reliability and Annals of

Operations Research

Apr 26(Thu) 2018 1435-1520

Auditorium Room

ldquoThe Generalized Age Maintenance Policies with

Random Working Timesrdquo

Prof Shey-Huei SHEU

Providence University Taiwan

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Highlight

Keynote Speech ndashIV

Abstract of speech

IEEE 80211ah a specification belonging to 80211

wireless local area network (WLAN) protocol family

has been recently released to support the

long-range low-power and low-rate wireless

communication among smart devices used in

Internet of Thing (IoT) systems However security

requirements of the energy-constrained devices

have plenty of issues different from the traditional

wireless devices It requires that the lightweight

security protocols have to support low-power and

low-latency as well as the long-lasting features of

quantities of IoT devices The recently released IEEE

statndard IEEE 80211ai has specified a Fast Initial

Link Setup (FILS) which is a brand-new approach

aiming at establishing fast stable and secure links

among smart devices IEEE 80211ai could be applied

to other wireless systems such as the wireless

system of IEEE 80211ah with security

enhancements In this talk I would address the

secureity issues of IEEE 80211ai and IEEE 80211ah

with an new proposal to enhance the

authentication process in the link setup procedure

specified by IEEE 80211ai

Maode MA

BIO Dr Maode Ma is a Fellow of IET He received his

PhD degree in computer science from Hong Kong

University of Science and Technology in 1999 Now

Dr Ma is an Associate Professor in the School of

Electrical and Electronic Engineering at Nanyang

Technological University in Singapore He has

extensive research interests including network

security and wireless networking Dr Ma has about

350 international academic publications including

over 160 journal papers and about 190 conference

papers He has delivered over 50 keynote speeches

at various international conferences He has served

as various chairs for over 100 international

conferences He currently serves as the

Editor-in-Chief of International Journal of Computer

and Communication Engineering and International

Journal of Electronic Transport He also serves as a

Senior Editor or an Associate Editor for other 4

international academic journals Dr Ma is a Senior

Member of IEEE Communication Society and IEEE

Education Society and a Member of ACM He is the

Chair of the IEEE Education Society Singapore

Chapter and the Chair of the ACM Singapore

Chapter He has served as an IEEE Communication

Society Distinguished Lecturer from 2013-2016

Apr 26(Thu) 2018 1530-1615

Auditorium Room

ldquoEfficient and Secure Authentication Schemes for

IEEE 80211ah Networks rdquo

Prof Maode MA

Nanyang Technological University Singapore

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Highlight

Keynote Speech ndashV

Abstract of speech

Stochastic aircraft routing (SAR) plays a critical role

in defining the routing plans of airlines which

include assigning the aircraft to flight legs and

determining the time and location of maintenance

to the aircraft Based on the routing plan specified

by the airlines the maintenance providers should

schedule their workforce to perform maintenance

operations by solving the maintenance staffing

problem (MSP) MSP helps maintenance providers

to build their staffing plans which include the

assignment of manpower to each aircraft so that

aircraft receive the required maintenance

operations as planned Practically for airlines the

routing plan will be interrupted (eg flight delays) if

an aircraft cannot be released from the

maintenance station punctually Similarly for

maintenance providers if an aircraft misses the

scheduled appointment at the maintenance station

this will also cause a huge interruption to their

staffing plan Therefore there is an interrelationship

between SAR and MSP In the literature the focus

of each problem has been traditionally considered

separately with only limited consideration of their

interrelationship In this paper we study SAR along

with MSP with the objective of investigating the

interrelationship between SAR and MSP For this

purpose we propose a coordinated configuration

of SAR and MSP that is formulated as a

leader-follower Stackelbery game in which SAR

acts as a leader and MSP acts as a follower This

game is enacted through a bi-level optimization

model which is solved by a bi-level nested ant

colony optimization (ACO) algorithm A case study

of a major airline and maintenance provider located

in the Middle East is presented to demonstrate the

feasibility and potential of the proposed model The

results demonstrate significant saving in the costs

of both companies

Felix TS CHAN

BIO Professor Felix T S Chan received his BSc

Degree in Mechanical Engineering from Brighton

Polytechnic (now University) UK and obtained his

MSc and PhD in Manufacturing Engineering from

the Imperial College of Science and Technology

University of London UK Professor Chan is now

working at the Department of Industrial and

Systems Engineering The Hong Kong Polytechnic

University and also serving as Associate Dean

(Research) at the Faculty of Engineering His current

research interests are Logistics and Supply Chain

Management Operations Management

Distribution Coordination Systems Modelling and

Simulation AI Optimisation To date he has

published 16 book chapters over 300 refereed

international journal papers and 250 peer reviewed

international conference papers h index= 30 under

the Web of Science He is a chartered member of

the Chartered Institute of Logistics and Transport in

Hong Kong According to a study lately published in

the International Journal of Production Research

(httpdxdoiorg1010800020754320151037935)

the study measured the research contributions over

a 26-year time frame (1985-2010) of academic

institutions and individual authors to the field of

Apr 26(Thu) 2018 1615-1700

Auditorium Room

ldquoInvestigating the Interrelationship between

Stochastic Aircraft Routing of Airlines and

Maintenance Staffing of Maintenance Providersrdquo

Prof Felix TS CHAN

The Hong Kong Polytechnic University Hong Kong

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Highlight

Operations Management (OM) based on published

articles in 11 top-rated and well-known academic OM

journals Professor Chan was among the top 50

prolific authors list who have made the greatest

overall contribution to the field as measured by the

number of distributed and shared articles published

in the 11 designated journals Also Professor Chan

was Ranked No 3 in The top 100 authors as the

most productive researchers in the field of

Operations Management over the past 10 years

(2001-2010)

COMMITTEE

ICIEA 2018 Organizing Committee

International Advisory Committee

Zhe George Zhang Western Washington University USA

Conference Chairs

Felix T S Chan The Hong Kong Polytechnic University Hong Kong

Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan

Local Organizing Chair

TANG Loon Ching National University of Singapore Singapore

Organizing and Program Committees

Seoung Bum Kim School of Industrial Mangement Engineering Korea University

Usik Lee Inha University Korea

Maode Ma Nanyang Technological University Singapore

Finance Chair

Minghan Xi Dalian Maritime University China

International Technical Committees

Cheng-Feng HuNational Chiayi University Taiwan

Dong-Yuh YangNational Taipei University of Business Taiwan

Mario HirzGraz University of Technology Austria

Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt

Po-Hsiang Liu College of Business and Management in St Johns University USA

Taesu Cheong Korea University Korea

Tien-Lun Liu Chung Yuan Christian University Taiwan

Wei CaiWuhan University of Technology China

Jinguo Huang Huazhong University of Science and Technology China

Yu-Chung Tsao National Taiwan University of Science Technology Taiwan

Yip Mum WaiTunku Abdul Rahman University College Malaysia

Pule Kholopane University of Johannesburg South Africa

Bonivasius Prasetya Ichtiarto mercu buana university Indonesia

Elita Amrina Andalas University Indonesia

Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan

Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong

Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia

Lenovo
Highlight
Lenovo
Highlight
Lenovo
Highlight
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Highlight

Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India

Byung Do Chung Yonsei University Korea

M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia

Sandeep Singhal National Institute of Technology India

J W Wang The University of Hong Kong Hong Kong

Ching-Chang Kuo National Taichung University of Science and Technology Taiwan

Kuo-Hsiung Wang Providence University Taiwan

ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia

Sangbok Lee Hansung University Korea

Adrian E Coronado Mondragon Royal Holloway University of London UK

Chin-I Lee Ling Tung University Taiwan

S H ChoiUniversity of Hong Kong Hong Kong

Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan

Wei Cai Wuhan University of Technology China

Hashibah Hamid Universiti Utara Malaysia Malaysia

TMA Ari Samadhi Bandung Institute of Technology Indonesia

Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia

Pi-Chun Hsu Chaoyang University of Technology Taiwan

Mu-Chen Chen National Chiao Tung University Taiwan

Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan

Tsu-Wei Yu Chaoyang University of Technology Taiwan

Lingyun Wei Beijing University of Posts and Telecommunications China

Hamdi Bashir University of sharjahUnited Arab Emirates

LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand

LIU Hai-peng Kunming University of Science and Technology China

Elfira Febriani Trisakti University Indonesia

Yu-Hsiang Hsiao National Taipei University Taiwan

Chien-Chih Wang Ming Chi University of Technology Taiwan

Atichart Harncharnchai Chiang Mai University Thailand

Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)

Switzerland

Bambang Suhardi Universitas Sebelas Maret Indonesia

Ssu Han Chen Ming Chi University of Technology Taiwan

Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia

Augustina Asih Rumanti Bandung Institute of Technology Indonesia

Maheshwar Dwivedy BML Munjal University India

Zhichuan Guan China university of petroleum (East China) China

Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia

Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia

Yenming J Chen National Kaohsiung University of Science and Technology Taiwan

Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia

TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand

Li Li Nanjing University of Science and Technology China

SERTIFIKAT

Page 22: Nilai Maksimal Prosiding - eprints.undip.ac.ideprints.undip.ac.id/70482/1/...of_GSCM_practice_peer_review_lengkap.pdf · discriminant function as Z= (0.238-IeM) + (0.602-GPU) + (1.161-CCO)

1040-1210 Friday 27 Apr

Session B-2 Supply Chain Management Venue Lemongrass Room

Chair

N066

Time 1040-1055

A study on Healthcare-product Supply Chain with a group purchasing organization Ms Yin Han Lingyun Wei Beijing University of posts and telecommunications Beijing China

In order to better understand the impact of group purchasing organization (GPO) on healthcare-product supply chain we build a supply chain model consisting of one manufacturer one competitive source one group purchasing organization(GPO) and n healthcare providers for a single product Providers may purchase from any source for minimizing their total costs Through considering different providersrsquo demands power schemes and revenue sharing between GPO and providers we analyze the performance of supply chain and its members under various situations Numerical examples show some interesting findings (1) When GPO dominates the supply chain GPO can obtain more profits (2)When manufacturer dominates the supply chain and GPO shares its revenue with providers there exists specific revenue sharing rates which increase GPOrsquos profits and reduce providersrsquo cost (3) Manufacturer always can achieve a same optimal profit by changing quantity discount rate when GPO dominates supply chain and shares its revenue with providers

N108

Time 1055-1110

Exploring the Implementation of Green Supply Chain with Cluster and Discriminant Analysis Case Study Furniture Industry at Central Java Semarang Dr Aries Susanty Diana Puspitasari Diponegoro Univeristy Indonesia This study has two objectives First this study aims to categorize the level of the implementation of Green Supply Chain Management (GSCM) practice among Small and Medium Enterprises (SMEs) of wooden furniture in several clusters Second this study aims to find the linear combination of five dimensions of GSCM practices that will discriminate best between prior defined clusters The study used primary data through questionnaires enclosed with the Likert scale 1-5 at 162 SMEs of wooden furniture located in Surakarta Jepara Semarang and Kudus The raw data level of implementation of five dimensions of GSCM practice is analyzed using K-Means cluster and discriminant analysis with the aid of the Statistical Package for the Social Sciences (SPSS) software The result of K-Means cluster analysis indicated that a two-cluster is the optimal number of a group for separating the data of the level of implementation of GSSM practice among SMEs of wooden furniture and the two clusters founded in this research are labeled as early adopter and laggards Then the result of the discriminant analysis indicated that as high as 9877 of the SMEs of wooden furniture was classified correctly The result of discriminant analysis also revealed the discriminant function as Z= (0238IEM) + (0602GPU) + (1161CCO) + (1128ECO) + (1126IRE) - 13124 and the threshold for evaluating a discriminant score of

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Institutional Sign In

IEEEorg IEEE Xplore Digital Library| IEEE-SA| IEEE Spectrum| More Sites| Cart (0) Create Account| Personal Sign In|

All Enter keywords or phrases (Note Searches metadata only by default A search for smart grid = smart AND grid)

Advanced Search | Other Search Options

Conferences gt 2018 5th International Confer

3 Author(s) Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa View All Authors

Demand management practices in the manufacturing industry An empiricalSouth African perspective

38FullText Views

Abstract

Document Sections

I Introduction

II Literature Review

III Methodology

IV Resultsampinterpretations

V Conclusion

Authors

Figures

References

Keywords

Metrics

Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

References

Keywords

Metrics

AbstractThis paper aims to identify and explore Demand Management (DM) practices used within the SouthAfrican Manufacturing industry The study followed a qualitative design approach in order to identifythe relationship between DM methods such as forecasting and the best practices used by therespondents Therefore a purposive sampling technique was used whereby a questionnaire was sentout via email to 15 manufacturing companies before meeting them for a face to face interviewconducted in two weeks Respondents varied from different industries such as automotive wood andpaper chemical food and beverage etc The results demonstrated that although the respondents areaware of the best practices for a good DM system they generally do not apply them entirely becauseof factors like fear of implementing change and failure to quickly adapt themselves to the change thatwould come with those best practices In addition the results also revealed that forecasting is themost used DM method by the respondents and a simple forecasting average is used to predict futuredemand Depending on the company the forecast is done either by a team or by functional areas

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844216

DOI 101109IEA20188387071

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionThe importance of satisfying the customer by meeting the demand has long been recognized bymanagers as crucial to making the organization successful However numerous problems occurand many factors need to be considered in order to give the customer what they want how theywant it as well as where and when they want it Failure to understand crucial characteristics ofdemand will result in supply shortage or excessive stock that will place serious financial burdenson the organization subsequently leading to a loss of market share and customers

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Eric Bakama MikobiDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

Eveth Nwobodo-AnyadiegwuDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

Charles MbohwaDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

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An integrative framework of knowledgemanagement enabled supply chainmanagement2008 IEEE International Conference onIndustrial Engineering and EngineeringManagementPublished 2008

An empirical approach for the application ofknowledge management on downstream supplychain management of Indian public sector oilcompanies2017 Fourteenth International Conference onWireless and Optical Communications Networks(WOCN)Published 2017

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Conferences gt 2018 5th International Confer

2 Author(s) Shikha Singh Subhas Chandra Misra View All Authors

Core challenges to cloud PLM adoption in large manufacturing firms

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Abstract

Document Sections

I Introduction

II Literature Review

III ResearchMethodology

IV Case Study and DataAnalysis

V Result and Discussion

Show Full Outline

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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

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AbstractAs the globalization is at its peak and innovative products are at high demand firms are forced to workin a collaborative manner The product data must be lively available to all the collaborated partnersAlthough on-premise Product Lifecycle Management (PLM) systems are offering the collaborationsand product data management throughout the products lifecycle the Internet of Things (IoT) eraoffers more connectivity at a lesser cost Though most large manufacturing firms have established theon-premise PLM systems yet face some difficulties related to maintenance and upgradations of in-house information technology (IT) infrastructure Hence cloud PLM is under consideration foradoption among many large manufacturing firms However there are several challenges associatedwith cloud PLM adoption decision This work intends to find out the challenges which largemanufacturing firms face while deciding to adopt cloud PLM The empirical investigations have beenattempted to find out the relations among the challenges faced and to provide the guideline on how tofind out the core challenges which needs to be attended before adopting cloud PLM in largemanufacturing firms

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844276

DOI 101109IEA20188387085

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionProduct lifecycle management (PLM) systems are the IT tools [1] which support the PLMbusiness concept [2] to manage the whole lifecycle of a product in firms PLM systems help totransform the organizations into digitized era and make them technologically robust by giving a3D product designing and virtual manufacturing opportunity [3] PLM systems help in substantialcost savings by reducing the real manufacturing efforts Product-related knowledge must need tobe preserved so that it can help in the other phases of product lifecycle such as repair overhaulreuse recycle and or disposal of the product Increasing number of enterprise informationsystems stakeholders and product related information demand the need for a managementapproach which makes the managers capable of managing all the dispersed product informationat one common repository for reuse

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Shikha SinghDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India

Subhas Chandra MisraDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India

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The automation of the technological processesin the Manufacturing Internet of Things contextfor the pharmaceutical enterprises2018 IEEE 9th International Conference onDependable Systems Services andTechnologies (DESSERT)Published 2018

Integration of ERP and Internet of Things inIntelligent Enterprise Management2018 1st International Cognitive CitiesConference (IC3)Published 2018

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Conferences gt 2018 5th International Confer

3 Author(s) Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong View All Authors

Innovative product development of fabric glass interlayer

39FullText Views

Abstract

Document Sections

I Introduction

II Methodology

III Conclusion

Authors

Figures

References

Keywords

MetricsPublished in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

References

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Metrics

AbstractA glass manufacturer in Thailand developed the laminated fabric glass as innovative product in 2013but sales had declined in 2016 Customers survey shows that the satisfaction level decreased due tolong production lead time high-selling price and long installation time This paper aims to develop anew innovative fabric glass interlayer product by adopting 5D innovation development process 5Dconsists of Discover Define Design Develop and Deploy Firstly discover phase adopted Five ForcesAnalysis Customer Behavior Analysis and Customers Satisfaction Survey for specifying marketposition and seeking the hidden customers expectations Define is to summarize the project charteras initiation step in the project management and to scope resources and timeframe Design weadopted the integration of QFD Kano Model and Product Quality Index for prioritizing and translatingcustomer expectations to product specifications Then all concepts were concluded by Pugh MatrixWeighted Sum Score and confirmed the selected concept by financial feasibility study Developprocess is to prototyping to verify the production before scale up Finally generated the riskassessment plan by FMEA and contributed the business plan to ensure the effectivecommercialization in Deploy The developed fabric glass interlayer shows higher customer satisfactionlevel by shorten production lead time from 14 days to 8 days (4285) lower price from 790 bahtft to 485 bahtft (3861) and shorten installation time from 180 minutes to 45 minutes (75)

2

2

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844226

DOI 101109IEA20188387141

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionThe case company is one of the glass manufacturers in Thailand who process the fundamentalfunctional building glass tempered and laminated glass for the architectural construction andinterior decoration The companys vision was stated to be the leader of glass innovation within2022 To be the leader of the glass innovation case company should focus on the continuousinnovative product development The mainly innovative product that had been sold for manyyears was the fabric glass as 52 52 and 47 in 2015 2016 and 2017 respectively

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Ploynaplus ThanasirithamDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

Natcha ThawesaengskulthaiDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

Prasert AkkharaprathomphongDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

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Study of a Customer Satisfaction-OrientedModel for Outsourcing Software QualityManagement Using Quality FunctionDeployment (QFD)2008 4th International Conference on WirelessCommunications Networking and MobileComputingPublished 2008

Fuzzy Eco-Design Product Development byUsing Quality Function Deployment2005 4th International Symposium onEnvironmentally Conscious Design and InverseManufacturingPublished 2005

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Conferences gt 2018 5th International Confer

2 Author(s) Jingying Huang Liya Wang View All Authors

Makespan minimization on single batch-processing machine consideringpreventive maintenance

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Abstract

Document Sections

I Introduction

II Problem Description

III Batching Rule

IV Improved Heuristics

V ComputationalResults andDiscussions

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AbstractThis paper considers the problem of minimizing makespan on a single batch-processing machineconsidering preventive maintenance A mathematical model for integrating flexible preventivemaintenance into the batch-processing machine scheduling is proposed A two-stage method isproposed to solve the problem A batching rule considering maintenance is proposed to group jobsinto batches firstly And then we improve existing heuristics to schedule production and maintenanceComputational results indicate that the two-stage method based on proposed batching rule andimproved heuristics is effective

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844275

DOI 101109IEA20188387113

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionBPM (Batch processing machine) problem has attracted many researchers in recent years BPMis able to process a group of jobs as long as the number of jobs in the batch is less than or equalto the capacity of the machine To minimize total flow time Rui Xu [1] proposed an ant colonyalgorithm combined with the candidate list NR Parsa [2] proposed an algorithm using a hybridmax-min ant system AH Kashan [3] proposed a batch based hybrid genetic algorithm thatgenerates random batches of jobs and ensures feasibility To minimize total earliness andtardiness of the jobs NR Parsa [4] proposed a dynamic programming algorithm and severalheuristics BPM problem is practically applied in many manufacturing industries One of them issemiconductor wafer manufacturing industry BPM problem is applied in the furnace area in themanufacturing process of semiconductor wafers The machine is only shared by jobs requiringthe particular processing operation [5] That is in reality only semiconductor wafers with thesame kind of process can be grouped into a batch However the papers above did not take thisconstraint into consideration They assumed the jobs with different processing time can begrouped into the same batches Also the above papers did not consider about maintenancewhen grouping and scheduling jobs

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Jingying HuangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina

Liya WangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina

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ACO-based Parallel Machine SchedulingConsidering Both Setup Time and Run-basedPreventive Maintenance with ReliabilityConstraints2018 IEEE International Conference onIndustrial Engineering and EngineeringManagement (IEEM)Published 2018

MSPT2 Heuristic and Dynamic ProgrammingMethod for the Parallel Machine SchedulingProblem with scheduled PreventiveMaintenance2006 International Conference on ServiceSystems and Service ManagementPublished 2006

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KEYNOTE AND INVITE SPEAKERS

Keynote Speech

Keynote Speech ndashI

Abstract of speech

Many products are designed to last longer than

the typical lifespan of human being Its thus a

challenge to validate the design life through

reliability tests even when testing is conducted

under much harsher environment Not only that

test duration is usually constrained but the

samples available for testing may also be costly

andor limited in quantity Statistically optimal

plans will allow for efficient use of testing

resources and yet derive the most information

from the test In this presentation we shall

discuss ideas related to designing test plans for

both constant stress and step stress ALT leading

to the statistical optimal plan for sequential ALT

While that of constant ALT is basically a Bayesian

approach that for the step stress ALT requires

solving a dynamic program using backward

induction For the latter optimal solutions are

only available for exponential lifetime and there

are rooms for further research

Loon Ching TANG

BIO Dr Loon Ching TANG is currently the Director of

Temasek Defence Systems Institute and Professor of

Department of Industrial Systems Engineering and

Management at the National University of Singapore

He obtained his PhD degree from Cornell University in

the field of Operations Research in 1992 and has

published extensively in areas related to industrial

engineering and operations research He has been

presented with a number of best paper awards

including the IIE Transactions 2010 Best Application

Paper Award and 2012 RA EvansPK McElroy Award

for the best paper at Annual RAMS Prof Tang is the

main author of the award-winning book Six Sigma

Advanced Tools for Black Belts and Master Black Belts

Besides being active in the forefront of academic

research in the last 25 years Prof Tang has served as

consultant for many organizations such as the

Ministry of Home Affair Singapore Power Republic of

Singapore Air Force Seagate HP Phillips etc on a

wide range of projects aiming at improving

organizational and operations efficiency especially

through better management of engineering assets He

is currently a fellow of ISEAM the Editor of Quality amp

Reliability Engineering International and an editorial

review board member of the flagship journal of ASQ

Journal of Quality Technology (since 2006) He has

served as the Region VP (Asia) of IIE (2013-16) and a

member of the advisory board of the Singapore

Innovation and Productivity Institute

Apr 26(Thu) 2018 1305-1350

Auditorium Room

ldquoPlanning Sequential Accelerated Life Testingrdquo

Prof Loon Ching TANG

National University of Singapore Singapore

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Highlight

Keynote Speech ndashII

George ZHANG

BIO Professor Zhe George Zhang is a professor of

Management Science in the Department of Decision

Sciences at Western Washington University and a

professor of Operations Management in Beedie

School of Business at Simon Fraser University He is

also visiting professor of Sauder School of Business

at the University of British Columbia Dr Zhang

received his BS in Computer Science and MA in

Economics from Nankai University China his MBA

from the Schulich School of Business at York

University and his PhD in Operations research from

the University of Waterloo Professor Zhang has

published many papers in prestigious journals such

as Management Science Operations Research

Manufacturing amp Service Operations Management

Production and Operations Management IIE

Transactions IEEE Transactions Queueing Systems

Journal of Applied Probability Co-authored with

Professor Tian in 2006 he published the research

monograph Vacation Queueing Models - Theory

and Applications the first book on this particular

topic (now highly cited) Professor Zhangs research

interests include queueing theory and applications

and stochastic models for manufacturing and

service systems The main theme of his research is

to bridge the gap between theory and application

obtaining unobservable and sometimes

counter-intuitive but significantpractical

management insights via modeling and quantitative

analysis Currently he is particularly interested in

the quantitative and economic analysis of the

congestion problems in urbanmass transportation

networks healthmedical care systems and public

service systems with both customer service quality

and security concerns As an expert in data analysis

and quantitative modeling he has consulted in

industry and has given research seminars and short

lectures at leading universities around the world He

was invited to present plenary or keynote talks in

several international conferences Professor Zhang

is the one of Editor-in-Chiefs for new journal

Queueing Models and Service Management aan

associate editor of INFOR (Information Systems and

Operations Research) and is on the editorial board

of several international journals in Operations

Research and Management Science

Apr 26(Thu) 2018 1350-1435

Auditorium Room

ldquordquo

Prof George ZHANG

Western Washington University USA

Lenovo
Highlight

Keynote Speech ndashIII

Abstract of speech

The purpose of this paper is to investigate the

generalized age maintenance policies for a system

with random working times When the system fails

it is subject to one of two types of failures with

age-dependent probability type I failure can be

removed by minimal repair and type II failure must

be rectified by replacementA First the system is

preventively replaced before type II failure at time T

or at the completion of Nth working projects

whichever occurs first Two modified models where

the system is preventively replaced before type II

failure at time T or at the completion of Nth

working projects whichever occurs last and it is

preventively replaced at the first completion of the

working project over time T or at the completion of

Nth working projects whichever occurs first are

considered By introducing costs due to repairs

maintenance and replacement the expected cost

per unit time is derived as a criterion of optimality

and the optimal policy that minimizes that cost is

discussed analytically

Shey-Huei SHEU

BIO Professor Shey-Huei Sheu is a Chair Professor

of Department of Statistics and Informatics Science

at the Providence University He is an Honorary

Chair Professor of the Department of Industrial

Management at the National Taiwan University of

Science and Technology He received his MS

degree (1979) in applied mathematics from the

National Tsing Hua University and his PhD degree

(1987) in statistics from the University of Kentucky

He has published in journals such as Naval Research

Logistics Journal of Applied Probability RAIRO

Operations Research Microelectronics and

Reliability Reliability Engineering and System Safety

International Journal of Systems Science Quality

and Reliability Engineering International

International Journal of Reliability Quality and

Safety Engineering Journal of the Operational

Research Society European Journal of the

Operational Research Computers and Operation

Research Computers and Industrial Engineering

Quality Engineering Asia-Pacific Journal of the

Operational Research Communications in

Statistics-Theory and Methods Computers and

Mathematics with Applications Simulation

Modeling Practice and Theory Communications in

Statistics-Simulation and Computation Journal of

Statistical Computation and Simulation

International Journal of Production Economics

Quality Technology and Quantitative Management

The International Journal of Advanced

Manufacturing Technology Expert Systems

International Journal of Computer Mathematics

Journal of Applied Statistics Production Planning

and Control International Journal of Production

Research Applied Mathematical Modelling IEEE

Transactions on Reliability and Annals of

Operations Research

Apr 26(Thu) 2018 1435-1520

Auditorium Room

ldquoThe Generalized Age Maintenance Policies with

Random Working Timesrdquo

Prof Shey-Huei SHEU

Providence University Taiwan

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Highlight

Keynote Speech ndashIV

Abstract of speech

IEEE 80211ah a specification belonging to 80211

wireless local area network (WLAN) protocol family

has been recently released to support the

long-range low-power and low-rate wireless

communication among smart devices used in

Internet of Thing (IoT) systems However security

requirements of the energy-constrained devices

have plenty of issues different from the traditional

wireless devices It requires that the lightweight

security protocols have to support low-power and

low-latency as well as the long-lasting features of

quantities of IoT devices The recently released IEEE

statndard IEEE 80211ai has specified a Fast Initial

Link Setup (FILS) which is a brand-new approach

aiming at establishing fast stable and secure links

among smart devices IEEE 80211ai could be applied

to other wireless systems such as the wireless

system of IEEE 80211ah with security

enhancements In this talk I would address the

secureity issues of IEEE 80211ai and IEEE 80211ah

with an new proposal to enhance the

authentication process in the link setup procedure

specified by IEEE 80211ai

Maode MA

BIO Dr Maode Ma is a Fellow of IET He received his

PhD degree in computer science from Hong Kong

University of Science and Technology in 1999 Now

Dr Ma is an Associate Professor in the School of

Electrical and Electronic Engineering at Nanyang

Technological University in Singapore He has

extensive research interests including network

security and wireless networking Dr Ma has about

350 international academic publications including

over 160 journal papers and about 190 conference

papers He has delivered over 50 keynote speeches

at various international conferences He has served

as various chairs for over 100 international

conferences He currently serves as the

Editor-in-Chief of International Journal of Computer

and Communication Engineering and International

Journal of Electronic Transport He also serves as a

Senior Editor or an Associate Editor for other 4

international academic journals Dr Ma is a Senior

Member of IEEE Communication Society and IEEE

Education Society and a Member of ACM He is the

Chair of the IEEE Education Society Singapore

Chapter and the Chair of the ACM Singapore

Chapter He has served as an IEEE Communication

Society Distinguished Lecturer from 2013-2016

Apr 26(Thu) 2018 1530-1615

Auditorium Room

ldquoEfficient and Secure Authentication Schemes for

IEEE 80211ah Networks rdquo

Prof Maode MA

Nanyang Technological University Singapore

Lenovo
Highlight

Keynote Speech ndashV

Abstract of speech

Stochastic aircraft routing (SAR) plays a critical role

in defining the routing plans of airlines which

include assigning the aircraft to flight legs and

determining the time and location of maintenance

to the aircraft Based on the routing plan specified

by the airlines the maintenance providers should

schedule their workforce to perform maintenance

operations by solving the maintenance staffing

problem (MSP) MSP helps maintenance providers

to build their staffing plans which include the

assignment of manpower to each aircraft so that

aircraft receive the required maintenance

operations as planned Practically for airlines the

routing plan will be interrupted (eg flight delays) if

an aircraft cannot be released from the

maintenance station punctually Similarly for

maintenance providers if an aircraft misses the

scheduled appointment at the maintenance station

this will also cause a huge interruption to their

staffing plan Therefore there is an interrelationship

between SAR and MSP In the literature the focus

of each problem has been traditionally considered

separately with only limited consideration of their

interrelationship In this paper we study SAR along

with MSP with the objective of investigating the

interrelationship between SAR and MSP For this

purpose we propose a coordinated configuration

of SAR and MSP that is formulated as a

leader-follower Stackelbery game in which SAR

acts as a leader and MSP acts as a follower This

game is enacted through a bi-level optimization

model which is solved by a bi-level nested ant

colony optimization (ACO) algorithm A case study

of a major airline and maintenance provider located

in the Middle East is presented to demonstrate the

feasibility and potential of the proposed model The

results demonstrate significant saving in the costs

of both companies

Felix TS CHAN

BIO Professor Felix T S Chan received his BSc

Degree in Mechanical Engineering from Brighton

Polytechnic (now University) UK and obtained his

MSc and PhD in Manufacturing Engineering from

the Imperial College of Science and Technology

University of London UK Professor Chan is now

working at the Department of Industrial and

Systems Engineering The Hong Kong Polytechnic

University and also serving as Associate Dean

(Research) at the Faculty of Engineering His current

research interests are Logistics and Supply Chain

Management Operations Management

Distribution Coordination Systems Modelling and

Simulation AI Optimisation To date he has

published 16 book chapters over 300 refereed

international journal papers and 250 peer reviewed

international conference papers h index= 30 under

the Web of Science He is a chartered member of

the Chartered Institute of Logistics and Transport in

Hong Kong According to a study lately published in

the International Journal of Production Research

(httpdxdoiorg1010800020754320151037935)

the study measured the research contributions over

a 26-year time frame (1985-2010) of academic

institutions and individual authors to the field of

Apr 26(Thu) 2018 1615-1700

Auditorium Room

ldquoInvestigating the Interrelationship between

Stochastic Aircraft Routing of Airlines and

Maintenance Staffing of Maintenance Providersrdquo

Prof Felix TS CHAN

The Hong Kong Polytechnic University Hong Kong

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Highlight

Operations Management (OM) based on published

articles in 11 top-rated and well-known academic OM

journals Professor Chan was among the top 50

prolific authors list who have made the greatest

overall contribution to the field as measured by the

number of distributed and shared articles published

in the 11 designated journals Also Professor Chan

was Ranked No 3 in The top 100 authors as the

most productive researchers in the field of

Operations Management over the past 10 years

(2001-2010)

COMMITTEE

ICIEA 2018 Organizing Committee

International Advisory Committee

Zhe George Zhang Western Washington University USA

Conference Chairs

Felix T S Chan The Hong Kong Polytechnic University Hong Kong

Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan

Local Organizing Chair

TANG Loon Ching National University of Singapore Singapore

Organizing and Program Committees

Seoung Bum Kim School of Industrial Mangement Engineering Korea University

Usik Lee Inha University Korea

Maode Ma Nanyang Technological University Singapore

Finance Chair

Minghan Xi Dalian Maritime University China

International Technical Committees

Cheng-Feng HuNational Chiayi University Taiwan

Dong-Yuh YangNational Taipei University of Business Taiwan

Mario HirzGraz University of Technology Austria

Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt

Po-Hsiang Liu College of Business and Management in St Johns University USA

Taesu Cheong Korea University Korea

Tien-Lun Liu Chung Yuan Christian University Taiwan

Wei CaiWuhan University of Technology China

Jinguo Huang Huazhong University of Science and Technology China

Yu-Chung Tsao National Taiwan University of Science Technology Taiwan

Yip Mum WaiTunku Abdul Rahman University College Malaysia

Pule Kholopane University of Johannesburg South Africa

Bonivasius Prasetya Ichtiarto mercu buana university Indonesia

Elita Amrina Andalas University Indonesia

Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan

Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong

Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia

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Highlight
Lenovo
Highlight
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Highlight
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Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India

Byung Do Chung Yonsei University Korea

M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia

Sandeep Singhal National Institute of Technology India

J W Wang The University of Hong Kong Hong Kong

Ching-Chang Kuo National Taichung University of Science and Technology Taiwan

Kuo-Hsiung Wang Providence University Taiwan

ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia

Sangbok Lee Hansung University Korea

Adrian E Coronado Mondragon Royal Holloway University of London UK

Chin-I Lee Ling Tung University Taiwan

S H ChoiUniversity of Hong Kong Hong Kong

Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan

Wei Cai Wuhan University of Technology China

Hashibah Hamid Universiti Utara Malaysia Malaysia

TMA Ari Samadhi Bandung Institute of Technology Indonesia

Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia

Pi-Chun Hsu Chaoyang University of Technology Taiwan

Mu-Chen Chen National Chiao Tung University Taiwan

Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan

Tsu-Wei Yu Chaoyang University of Technology Taiwan

Lingyun Wei Beijing University of Posts and Telecommunications China

Hamdi Bashir University of sharjahUnited Arab Emirates

LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand

LIU Hai-peng Kunming University of Science and Technology China

Elfira Febriani Trisakti University Indonesia

Yu-Hsiang Hsiao National Taipei University Taiwan

Chien-Chih Wang Ming Chi University of Technology Taiwan

Atichart Harncharnchai Chiang Mai University Thailand

Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)

Switzerland

Bambang Suhardi Universitas Sebelas Maret Indonesia

Ssu Han Chen Ming Chi University of Technology Taiwan

Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia

Augustina Asih Rumanti Bandung Institute of Technology Indonesia

Maheshwar Dwivedy BML Munjal University India

Zhichuan Guan China university of petroleum (East China) China

Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia

Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia

Yenming J Chen National Kaohsiung University of Science and Technology Taiwan

Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia

TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand

Li Li Nanjing University of Science and Technology China

SERTIFIKAT

Page 23: Nilai Maksimal Prosiding - eprints.undip.ac.ideprints.undip.ac.id/70482/1/...of_GSCM_practice_peer_review_lengkap.pdf · discriminant function as Z= (0.238-IeM) + (0.602-GPU) + (1.161-CCO)

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Conferences gt 2018 5th International Confer

3 Author(s) Eric Bakama Mikobi Eveth Nwobodo-Anyadiegwu Charles Mbohwa View All Authors

Demand management practices in the manufacturing industry An empiricalSouth African perspective

38FullText Views

Abstract

Document Sections

I Introduction

II Literature Review

III Methodology

IV Resultsampinterpretations

V Conclusion

Authors

Figures

References

Keywords

Metrics

Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

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AbstractThis paper aims to identify and explore Demand Management (DM) practices used within the SouthAfrican Manufacturing industry The study followed a qualitative design approach in order to identifythe relationship between DM methods such as forecasting and the best practices used by therespondents Therefore a purposive sampling technique was used whereby a questionnaire was sentout via email to 15 manufacturing companies before meeting them for a face to face interviewconducted in two weeks Respondents varied from different industries such as automotive wood andpaper chemical food and beverage etc The results demonstrated that although the respondents areaware of the best practices for a good DM system they generally do not apply them entirely becauseof factors like fear of implementing change and failure to quickly adapt themselves to the change thatwould come with those best practices In addition the results also revealed that forecasting is themost used DM method by the respondents and a simple forecasting average is used to predict futuredemand Depending on the company the forecast is done either by a team or by functional areas

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844216

DOI 101109IEA20188387071

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionThe importance of satisfying the customer by meeting the demand has long been recognized bymanagers as crucial to making the organization successful However numerous problems occurand many factors need to be considered in order to give the customer what they want how theywant it as well as where and when they want it Failure to understand crucial characteristics ofdemand will result in supply shortage or excessive stock that will place serious financial burdenson the organization subsequently leading to a loss of market share and customers

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Eric Bakama MikobiDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

Eveth Nwobodo-AnyadiegwuDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

Charles MbohwaDepartment of Quality and Operations Management University of Johannesburg JohannesburgSouth Africa

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An integrative framework of knowledgemanagement enabled supply chainmanagement2008 IEEE International Conference onIndustrial Engineering and EngineeringManagementPublished 2008

An empirical approach for the application ofknowledge management on downstream supplychain management of Indian public sector oilcompanies2017 Fourteenth International Conference onWireless and Optical Communications Networks(WOCN)Published 2017

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Conferences gt 2018 5th International Confer

2 Author(s) Shikha Singh Subhas Chandra Misra View All Authors

Core challenges to cloud PLM adoption in large manufacturing firms

60FullText Views

Abstract

Document Sections

I Introduction

II Literature Review

III ResearchMethodology

IV Case Study and DataAnalysis

V Result and Discussion

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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

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AbstractAs the globalization is at its peak and innovative products are at high demand firms are forced to workin a collaborative manner The product data must be lively available to all the collaborated partnersAlthough on-premise Product Lifecycle Management (PLM) systems are offering the collaborationsand product data management throughout the products lifecycle the Internet of Things (IoT) eraoffers more connectivity at a lesser cost Though most large manufacturing firms have established theon-premise PLM systems yet face some difficulties related to maintenance and upgradations of in-house information technology (IT) infrastructure Hence cloud PLM is under consideration foradoption among many large manufacturing firms However there are several challenges associatedwith cloud PLM adoption decision This work intends to find out the challenges which largemanufacturing firms face while deciding to adopt cloud PLM The empirical investigations have beenattempted to find out the relations among the challenges faced and to provide the guideline on how tofind out the core challenges which needs to be attended before adopting cloud PLM in largemanufacturing firms

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844276

DOI 101109IEA20188387085

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionProduct lifecycle management (PLM) systems are the IT tools [1] which support the PLMbusiness concept [2] to manage the whole lifecycle of a product in firms PLM systems help totransform the organizations into digitized era and make them technologically robust by giving a3D product designing and virtual manufacturing opportunity [3] PLM systems help in substantialcost savings by reducing the real manufacturing efforts Product-related knowledge must need tobe preserved so that it can help in the other phases of product lifecycle such as repair overhaulreuse recycle and or disposal of the product Increasing number of enterprise informationsystems stakeholders and product related information demand the need for a managementapproach which makes the managers capable of managing all the dispersed product informationat one common repository for reuse

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Shikha SinghDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India

Subhas Chandra MisraDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India

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The automation of the technological processesin the Manufacturing Internet of Things contextfor the pharmaceutical enterprises2018 IEEE 9th International Conference onDependable Systems Services andTechnologies (DESSERT)Published 2018

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Conferences gt 2018 5th International Confer

3 Author(s) Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong View All Authors

Innovative product development of fabric glass interlayer

39FullText Views

Abstract

Document Sections

I Introduction

II Methodology

III Conclusion

Authors

Figures

References

Keywords

MetricsPublished in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

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Figures

References

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Metrics

AbstractA glass manufacturer in Thailand developed the laminated fabric glass as innovative product in 2013but sales had declined in 2016 Customers survey shows that the satisfaction level decreased due tolong production lead time high-selling price and long installation time This paper aims to develop anew innovative fabric glass interlayer product by adopting 5D innovation development process 5Dconsists of Discover Define Design Develop and Deploy Firstly discover phase adopted Five ForcesAnalysis Customer Behavior Analysis and Customers Satisfaction Survey for specifying marketposition and seeking the hidden customers expectations Define is to summarize the project charteras initiation step in the project management and to scope resources and timeframe Design weadopted the integration of QFD Kano Model and Product Quality Index for prioritizing and translatingcustomer expectations to product specifications Then all concepts were concluded by Pugh MatrixWeighted Sum Score and confirmed the selected concept by financial feasibility study Developprocess is to prototyping to verify the production before scale up Finally generated the riskassessment plan by FMEA and contributed the business plan to ensure the effectivecommercialization in Deploy The developed fabric glass interlayer shows higher customer satisfactionlevel by shorten production lead time from 14 days to 8 days (4285) lower price from 790 bahtft to 485 bahtft (3861) and shorten installation time from 180 minutes to 45 minutes (75)

2

2

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844226

DOI 101109IEA20188387141

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionThe case company is one of the glass manufacturers in Thailand who process the fundamentalfunctional building glass tempered and laminated glass for the architectural construction andinterior decoration The companys vision was stated to be the leader of glass innovation within2022 To be the leader of the glass innovation case company should focus on the continuousinnovative product development The mainly innovative product that had been sold for manyyears was the fabric glass as 52 52 and 47 in 2015 2016 and 2017 respectively

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Ploynaplus ThanasirithamDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

Natcha ThawesaengskulthaiDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

Prasert AkkharaprathomphongDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

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Study of a Customer Satisfaction-OrientedModel for Outsourcing Software QualityManagement Using Quality FunctionDeployment (QFD)2008 4th International Conference on WirelessCommunications Networking and MobileComputingPublished 2008

Fuzzy Eco-Design Product Development byUsing Quality Function Deployment2005 4th International Symposium onEnvironmentally Conscious Design and InverseManufacturingPublished 2005

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Conferences gt 2018 5th International Confer

2 Author(s) Jingying Huang Liya Wang View All Authors

Makespan minimization on single batch-processing machine consideringpreventive maintenance

37FullText Views

Abstract

Document Sections

I Introduction

II Problem Description

III Batching Rule

IV Improved Heuristics

V ComputationalResults andDiscussions

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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

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AbstractThis paper considers the problem of minimizing makespan on a single batch-processing machineconsidering preventive maintenance A mathematical model for integrating flexible preventivemaintenance into the batch-processing machine scheduling is proposed A two-stage method isproposed to solve the problem A batching rule considering maintenance is proposed to group jobsinto batches firstly And then we improve existing heuristics to schedule production and maintenanceComputational results indicate that the two-stage method based on proposed batching rule andimproved heuristics is effective

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844275

DOI 101109IEA20188387113

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionBPM (Batch processing machine) problem has attracted many researchers in recent years BPMis able to process a group of jobs as long as the number of jobs in the batch is less than or equalto the capacity of the machine To minimize total flow time Rui Xu [1] proposed an ant colonyalgorithm combined with the candidate list NR Parsa [2] proposed an algorithm using a hybridmax-min ant system AH Kashan [3] proposed a batch based hybrid genetic algorithm thatgenerates random batches of jobs and ensures feasibility To minimize total earliness andtardiness of the jobs NR Parsa [4] proposed a dynamic programming algorithm and severalheuristics BPM problem is practically applied in many manufacturing industries One of them issemiconductor wafer manufacturing industry BPM problem is applied in the furnace area in themanufacturing process of semiconductor wafers The machine is only shared by jobs requiringthe particular processing operation [5] That is in reality only semiconductor wafers with thesame kind of process can be grouped into a batch However the papers above did not take thisconstraint into consideration They assumed the jobs with different processing time can begrouped into the same batches Also the above papers did not consider about maintenancewhen grouping and scheduling jobs

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Jingying HuangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina

Liya WangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina

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ACO-based Parallel Machine SchedulingConsidering Both Setup Time and Run-basedPreventive Maintenance with ReliabilityConstraints2018 IEEE International Conference onIndustrial Engineering and EngineeringManagement (IEEM)Published 2018

MSPT2 Heuristic and Dynamic ProgrammingMethod for the Parallel Machine SchedulingProblem with scheduled PreventiveMaintenance2006 International Conference on ServiceSystems and Service ManagementPublished 2006

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KEYNOTE AND INVITE SPEAKERS

Keynote Speech

Keynote Speech ndashI

Abstract of speech

Many products are designed to last longer than

the typical lifespan of human being Its thus a

challenge to validate the design life through

reliability tests even when testing is conducted

under much harsher environment Not only that

test duration is usually constrained but the

samples available for testing may also be costly

andor limited in quantity Statistically optimal

plans will allow for efficient use of testing

resources and yet derive the most information

from the test In this presentation we shall

discuss ideas related to designing test plans for

both constant stress and step stress ALT leading

to the statistical optimal plan for sequential ALT

While that of constant ALT is basically a Bayesian

approach that for the step stress ALT requires

solving a dynamic program using backward

induction For the latter optimal solutions are

only available for exponential lifetime and there

are rooms for further research

Loon Ching TANG

BIO Dr Loon Ching TANG is currently the Director of

Temasek Defence Systems Institute and Professor of

Department of Industrial Systems Engineering and

Management at the National University of Singapore

He obtained his PhD degree from Cornell University in

the field of Operations Research in 1992 and has

published extensively in areas related to industrial

engineering and operations research He has been

presented with a number of best paper awards

including the IIE Transactions 2010 Best Application

Paper Award and 2012 RA EvansPK McElroy Award

for the best paper at Annual RAMS Prof Tang is the

main author of the award-winning book Six Sigma

Advanced Tools for Black Belts and Master Black Belts

Besides being active in the forefront of academic

research in the last 25 years Prof Tang has served as

consultant for many organizations such as the

Ministry of Home Affair Singapore Power Republic of

Singapore Air Force Seagate HP Phillips etc on a

wide range of projects aiming at improving

organizational and operations efficiency especially

through better management of engineering assets He

is currently a fellow of ISEAM the Editor of Quality amp

Reliability Engineering International and an editorial

review board member of the flagship journal of ASQ

Journal of Quality Technology (since 2006) He has

served as the Region VP (Asia) of IIE (2013-16) and a

member of the advisory board of the Singapore

Innovation and Productivity Institute

Apr 26(Thu) 2018 1305-1350

Auditorium Room

ldquoPlanning Sequential Accelerated Life Testingrdquo

Prof Loon Ching TANG

National University of Singapore Singapore

Lenovo
Highlight

Keynote Speech ndashII

George ZHANG

BIO Professor Zhe George Zhang is a professor of

Management Science in the Department of Decision

Sciences at Western Washington University and a

professor of Operations Management in Beedie

School of Business at Simon Fraser University He is

also visiting professor of Sauder School of Business

at the University of British Columbia Dr Zhang

received his BS in Computer Science and MA in

Economics from Nankai University China his MBA

from the Schulich School of Business at York

University and his PhD in Operations research from

the University of Waterloo Professor Zhang has

published many papers in prestigious journals such

as Management Science Operations Research

Manufacturing amp Service Operations Management

Production and Operations Management IIE

Transactions IEEE Transactions Queueing Systems

Journal of Applied Probability Co-authored with

Professor Tian in 2006 he published the research

monograph Vacation Queueing Models - Theory

and Applications the first book on this particular

topic (now highly cited) Professor Zhangs research

interests include queueing theory and applications

and stochastic models for manufacturing and

service systems The main theme of his research is

to bridge the gap between theory and application

obtaining unobservable and sometimes

counter-intuitive but significantpractical

management insights via modeling and quantitative

analysis Currently he is particularly interested in

the quantitative and economic analysis of the

congestion problems in urbanmass transportation

networks healthmedical care systems and public

service systems with both customer service quality

and security concerns As an expert in data analysis

and quantitative modeling he has consulted in

industry and has given research seminars and short

lectures at leading universities around the world He

was invited to present plenary or keynote talks in

several international conferences Professor Zhang

is the one of Editor-in-Chiefs for new journal

Queueing Models and Service Management aan

associate editor of INFOR (Information Systems and

Operations Research) and is on the editorial board

of several international journals in Operations

Research and Management Science

Apr 26(Thu) 2018 1350-1435

Auditorium Room

ldquordquo

Prof George ZHANG

Western Washington University USA

Lenovo
Highlight

Keynote Speech ndashIII

Abstract of speech

The purpose of this paper is to investigate the

generalized age maintenance policies for a system

with random working times When the system fails

it is subject to one of two types of failures with

age-dependent probability type I failure can be

removed by minimal repair and type II failure must

be rectified by replacementA First the system is

preventively replaced before type II failure at time T

or at the completion of Nth working projects

whichever occurs first Two modified models where

the system is preventively replaced before type II

failure at time T or at the completion of Nth

working projects whichever occurs last and it is

preventively replaced at the first completion of the

working project over time T or at the completion of

Nth working projects whichever occurs first are

considered By introducing costs due to repairs

maintenance and replacement the expected cost

per unit time is derived as a criterion of optimality

and the optimal policy that minimizes that cost is

discussed analytically

Shey-Huei SHEU

BIO Professor Shey-Huei Sheu is a Chair Professor

of Department of Statistics and Informatics Science

at the Providence University He is an Honorary

Chair Professor of the Department of Industrial

Management at the National Taiwan University of

Science and Technology He received his MS

degree (1979) in applied mathematics from the

National Tsing Hua University and his PhD degree

(1987) in statistics from the University of Kentucky

He has published in journals such as Naval Research

Logistics Journal of Applied Probability RAIRO

Operations Research Microelectronics and

Reliability Reliability Engineering and System Safety

International Journal of Systems Science Quality

and Reliability Engineering International

International Journal of Reliability Quality and

Safety Engineering Journal of the Operational

Research Society European Journal of the

Operational Research Computers and Operation

Research Computers and Industrial Engineering

Quality Engineering Asia-Pacific Journal of the

Operational Research Communications in

Statistics-Theory and Methods Computers and

Mathematics with Applications Simulation

Modeling Practice and Theory Communications in

Statistics-Simulation and Computation Journal of

Statistical Computation and Simulation

International Journal of Production Economics

Quality Technology and Quantitative Management

The International Journal of Advanced

Manufacturing Technology Expert Systems

International Journal of Computer Mathematics

Journal of Applied Statistics Production Planning

and Control International Journal of Production

Research Applied Mathematical Modelling IEEE

Transactions on Reliability and Annals of

Operations Research

Apr 26(Thu) 2018 1435-1520

Auditorium Room

ldquoThe Generalized Age Maintenance Policies with

Random Working Timesrdquo

Prof Shey-Huei SHEU

Providence University Taiwan

Lenovo
Highlight

Keynote Speech ndashIV

Abstract of speech

IEEE 80211ah a specification belonging to 80211

wireless local area network (WLAN) protocol family

has been recently released to support the

long-range low-power and low-rate wireless

communication among smart devices used in

Internet of Thing (IoT) systems However security

requirements of the energy-constrained devices

have plenty of issues different from the traditional

wireless devices It requires that the lightweight

security protocols have to support low-power and

low-latency as well as the long-lasting features of

quantities of IoT devices The recently released IEEE

statndard IEEE 80211ai has specified a Fast Initial

Link Setup (FILS) which is a brand-new approach

aiming at establishing fast stable and secure links

among smart devices IEEE 80211ai could be applied

to other wireless systems such as the wireless

system of IEEE 80211ah with security

enhancements In this talk I would address the

secureity issues of IEEE 80211ai and IEEE 80211ah

with an new proposal to enhance the

authentication process in the link setup procedure

specified by IEEE 80211ai

Maode MA

BIO Dr Maode Ma is a Fellow of IET He received his

PhD degree in computer science from Hong Kong

University of Science and Technology in 1999 Now

Dr Ma is an Associate Professor in the School of

Electrical and Electronic Engineering at Nanyang

Technological University in Singapore He has

extensive research interests including network

security and wireless networking Dr Ma has about

350 international academic publications including

over 160 journal papers and about 190 conference

papers He has delivered over 50 keynote speeches

at various international conferences He has served

as various chairs for over 100 international

conferences He currently serves as the

Editor-in-Chief of International Journal of Computer

and Communication Engineering and International

Journal of Electronic Transport He also serves as a

Senior Editor or an Associate Editor for other 4

international academic journals Dr Ma is a Senior

Member of IEEE Communication Society and IEEE

Education Society and a Member of ACM He is the

Chair of the IEEE Education Society Singapore

Chapter and the Chair of the ACM Singapore

Chapter He has served as an IEEE Communication

Society Distinguished Lecturer from 2013-2016

Apr 26(Thu) 2018 1530-1615

Auditorium Room

ldquoEfficient and Secure Authentication Schemes for

IEEE 80211ah Networks rdquo

Prof Maode MA

Nanyang Technological University Singapore

Lenovo
Highlight

Keynote Speech ndashV

Abstract of speech

Stochastic aircraft routing (SAR) plays a critical role

in defining the routing plans of airlines which

include assigning the aircraft to flight legs and

determining the time and location of maintenance

to the aircraft Based on the routing plan specified

by the airlines the maintenance providers should

schedule their workforce to perform maintenance

operations by solving the maintenance staffing

problem (MSP) MSP helps maintenance providers

to build their staffing plans which include the

assignment of manpower to each aircraft so that

aircraft receive the required maintenance

operations as planned Practically for airlines the

routing plan will be interrupted (eg flight delays) if

an aircraft cannot be released from the

maintenance station punctually Similarly for

maintenance providers if an aircraft misses the

scheduled appointment at the maintenance station

this will also cause a huge interruption to their

staffing plan Therefore there is an interrelationship

between SAR and MSP In the literature the focus

of each problem has been traditionally considered

separately with only limited consideration of their

interrelationship In this paper we study SAR along

with MSP with the objective of investigating the

interrelationship between SAR and MSP For this

purpose we propose a coordinated configuration

of SAR and MSP that is formulated as a

leader-follower Stackelbery game in which SAR

acts as a leader and MSP acts as a follower This

game is enacted through a bi-level optimization

model which is solved by a bi-level nested ant

colony optimization (ACO) algorithm A case study

of a major airline and maintenance provider located

in the Middle East is presented to demonstrate the

feasibility and potential of the proposed model The

results demonstrate significant saving in the costs

of both companies

Felix TS CHAN

BIO Professor Felix T S Chan received his BSc

Degree in Mechanical Engineering from Brighton

Polytechnic (now University) UK and obtained his

MSc and PhD in Manufacturing Engineering from

the Imperial College of Science and Technology

University of London UK Professor Chan is now

working at the Department of Industrial and

Systems Engineering The Hong Kong Polytechnic

University and also serving as Associate Dean

(Research) at the Faculty of Engineering His current

research interests are Logistics and Supply Chain

Management Operations Management

Distribution Coordination Systems Modelling and

Simulation AI Optimisation To date he has

published 16 book chapters over 300 refereed

international journal papers and 250 peer reviewed

international conference papers h index= 30 under

the Web of Science He is a chartered member of

the Chartered Institute of Logistics and Transport in

Hong Kong According to a study lately published in

the International Journal of Production Research

(httpdxdoiorg1010800020754320151037935)

the study measured the research contributions over

a 26-year time frame (1985-2010) of academic

institutions and individual authors to the field of

Apr 26(Thu) 2018 1615-1700

Auditorium Room

ldquoInvestigating the Interrelationship between

Stochastic Aircraft Routing of Airlines and

Maintenance Staffing of Maintenance Providersrdquo

Prof Felix TS CHAN

The Hong Kong Polytechnic University Hong Kong

Lenovo
Highlight

Operations Management (OM) based on published

articles in 11 top-rated and well-known academic OM

journals Professor Chan was among the top 50

prolific authors list who have made the greatest

overall contribution to the field as measured by the

number of distributed and shared articles published

in the 11 designated journals Also Professor Chan

was Ranked No 3 in The top 100 authors as the

most productive researchers in the field of

Operations Management over the past 10 years

(2001-2010)

COMMITTEE

ICIEA 2018 Organizing Committee

International Advisory Committee

Zhe George Zhang Western Washington University USA

Conference Chairs

Felix T S Chan The Hong Kong Polytechnic University Hong Kong

Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan

Local Organizing Chair

TANG Loon Ching National University of Singapore Singapore

Organizing and Program Committees

Seoung Bum Kim School of Industrial Mangement Engineering Korea University

Usik Lee Inha University Korea

Maode Ma Nanyang Technological University Singapore

Finance Chair

Minghan Xi Dalian Maritime University China

International Technical Committees

Cheng-Feng HuNational Chiayi University Taiwan

Dong-Yuh YangNational Taipei University of Business Taiwan

Mario HirzGraz University of Technology Austria

Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt

Po-Hsiang Liu College of Business and Management in St Johns University USA

Taesu Cheong Korea University Korea

Tien-Lun Liu Chung Yuan Christian University Taiwan

Wei CaiWuhan University of Technology China

Jinguo Huang Huazhong University of Science and Technology China

Yu-Chung Tsao National Taiwan University of Science Technology Taiwan

Yip Mum WaiTunku Abdul Rahman University College Malaysia

Pule Kholopane University of Johannesburg South Africa

Bonivasius Prasetya Ichtiarto mercu buana university Indonesia

Elita Amrina Andalas University Indonesia

Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan

Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong

Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia

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Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India

Byung Do Chung Yonsei University Korea

M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia

Sandeep Singhal National Institute of Technology India

J W Wang The University of Hong Kong Hong Kong

Ching-Chang Kuo National Taichung University of Science and Technology Taiwan

Kuo-Hsiung Wang Providence University Taiwan

ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia

Sangbok Lee Hansung University Korea

Adrian E Coronado Mondragon Royal Holloway University of London UK

Chin-I Lee Ling Tung University Taiwan

S H ChoiUniversity of Hong Kong Hong Kong

Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan

Wei Cai Wuhan University of Technology China

Hashibah Hamid Universiti Utara Malaysia Malaysia

TMA Ari Samadhi Bandung Institute of Technology Indonesia

Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia

Pi-Chun Hsu Chaoyang University of Technology Taiwan

Mu-Chen Chen National Chiao Tung University Taiwan

Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan

Tsu-Wei Yu Chaoyang University of Technology Taiwan

Lingyun Wei Beijing University of Posts and Telecommunications China

Hamdi Bashir University of sharjahUnited Arab Emirates

LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand

LIU Hai-peng Kunming University of Science and Technology China

Elfira Febriani Trisakti University Indonesia

Yu-Hsiang Hsiao National Taipei University Taiwan

Chien-Chih Wang Ming Chi University of Technology Taiwan

Atichart Harncharnchai Chiang Mai University Thailand

Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)

Switzerland

Bambang Suhardi Universitas Sebelas Maret Indonesia

Ssu Han Chen Ming Chi University of Technology Taiwan

Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia

Augustina Asih Rumanti Bandung Institute of Technology Indonesia

Maheshwar Dwivedy BML Munjal University India

Zhichuan Guan China university of petroleum (East China) China

Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia

Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia

Yenming J Chen National Kaohsiung University of Science and Technology Taiwan

Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia

TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand

Li Li Nanjing University of Science and Technology China

SERTIFIKAT

Page 24: Nilai Maksimal Prosiding - eprints.undip.ac.ideprints.undip.ac.id/70482/1/...of_GSCM_practice_peer_review_lengkap.pdf · discriminant function as Z= (0.238-IeM) + (0.602-GPU) + (1.161-CCO)

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Conferences gt 2018 5th International Confer

2 Author(s) Shikha Singh Subhas Chandra Misra View All Authors

Core challenges to cloud PLM adoption in large manufacturing firms

60FullText Views

Abstract

Document Sections

I Introduction

II Literature Review

III ResearchMethodology

IV Case Study and DataAnalysis

V Result and Discussion

Show Full Outline

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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

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AbstractAs the globalization is at its peak and innovative products are at high demand firms are forced to workin a collaborative manner The product data must be lively available to all the collaborated partnersAlthough on-premise Product Lifecycle Management (PLM) systems are offering the collaborationsand product data management throughout the products lifecycle the Internet of Things (IoT) eraoffers more connectivity at a lesser cost Though most large manufacturing firms have established theon-premise PLM systems yet face some difficulties related to maintenance and upgradations of in-house information technology (IT) infrastructure Hence cloud PLM is under consideration foradoption among many large manufacturing firms However there are several challenges associatedwith cloud PLM adoption decision This work intends to find out the challenges which largemanufacturing firms face while deciding to adopt cloud PLM The empirical investigations have beenattempted to find out the relations among the challenges faced and to provide the guideline on how tofind out the core challenges which needs to be attended before adopting cloud PLM in largemanufacturing firms

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844276

DOI 101109IEA20188387085

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionProduct lifecycle management (PLM) systems are the IT tools [1] which support the PLMbusiness concept [2] to manage the whole lifecycle of a product in firms PLM systems help totransform the organizations into digitized era and make them technologically robust by giving a3D product designing and virtual manufacturing opportunity [3] PLM systems help in substantialcost savings by reducing the real manufacturing efforts Product-related knowledge must need tobe preserved so that it can help in the other phases of product lifecycle such as repair overhaulreuse recycle and or disposal of the product Increasing number of enterprise informationsystems stakeholders and product related information demand the need for a managementapproach which makes the managers capable of managing all the dispersed product informationat one common repository for reuse

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Shikha SinghDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India

Subhas Chandra MisraDepartment of Industrial Management and Engineering (DIME) Indian Institute of Technology (IIT)Kanpur Kanpur-208016 Uttar Pradesh India

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Conferences gt 2018 5th International Confer

3 Author(s) Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong View All Authors

Innovative product development of fabric glass interlayer

39FullText Views

Abstract

Document Sections

I Introduction

II Methodology

III Conclusion

Authors

Figures

References

Keywords

MetricsPublished in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

References

Keywords

Metrics

AbstractA glass manufacturer in Thailand developed the laminated fabric glass as innovative product in 2013but sales had declined in 2016 Customers survey shows that the satisfaction level decreased due tolong production lead time high-selling price and long installation time This paper aims to develop anew innovative fabric glass interlayer product by adopting 5D innovation development process 5Dconsists of Discover Define Design Develop and Deploy Firstly discover phase adopted Five ForcesAnalysis Customer Behavior Analysis and Customers Satisfaction Survey for specifying marketposition and seeking the hidden customers expectations Define is to summarize the project charteras initiation step in the project management and to scope resources and timeframe Design weadopted the integration of QFD Kano Model and Product Quality Index for prioritizing and translatingcustomer expectations to product specifications Then all concepts were concluded by Pugh MatrixWeighted Sum Score and confirmed the selected concept by financial feasibility study Developprocess is to prototyping to verify the production before scale up Finally generated the riskassessment plan by FMEA and contributed the business plan to ensure the effectivecommercialization in Deploy The developed fabric glass interlayer shows higher customer satisfactionlevel by shorten production lead time from 14 days to 8 days (4285) lower price from 790 bahtft to 485 bahtft (3861) and shorten installation time from 180 minutes to 45 minutes (75)

2

2

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844226

DOI 101109IEA20188387141

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionThe case company is one of the glass manufacturers in Thailand who process the fundamentalfunctional building glass tempered and laminated glass for the architectural construction andinterior decoration The companys vision was stated to be the leader of glass innovation within2022 To be the leader of the glass innovation case company should focus on the continuousinnovative product development The mainly innovative product that had been sold for manyyears was the fabric glass as 52 52 and 47 in 2015 2016 and 2017 respectively

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Ploynaplus ThanasirithamDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

Natcha ThawesaengskulthaiDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

Prasert AkkharaprathomphongDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

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Conferences gt 2018 5th International Confer

2 Author(s) Jingying Huang Liya Wang View All Authors

Makespan minimization on single batch-processing machine consideringpreventive maintenance

37FullText Views

Abstract

Document Sections

I Introduction

II Problem Description

III Batching Rule

IV Improved Heuristics

V ComputationalResults andDiscussions

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Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

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AbstractThis paper considers the problem of minimizing makespan on a single batch-processing machineconsidering preventive maintenance A mathematical model for integrating flexible preventivemaintenance into the batch-processing machine scheduling is proposed A two-stage method isproposed to solve the problem A batching rule considering maintenance is proposed to group jobsinto batches firstly And then we improve existing heuristics to schedule production and maintenanceComputational results indicate that the two-stage method based on proposed batching rule andimproved heuristics is effective

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844275

DOI 101109IEA20188387113

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionBPM (Batch processing machine) problem has attracted many researchers in recent years BPMis able to process a group of jobs as long as the number of jobs in the batch is less than or equalto the capacity of the machine To minimize total flow time Rui Xu [1] proposed an ant colonyalgorithm combined with the candidate list NR Parsa [2] proposed an algorithm using a hybridmax-min ant system AH Kashan [3] proposed a batch based hybrid genetic algorithm thatgenerates random batches of jobs and ensures feasibility To minimize total earliness andtardiness of the jobs NR Parsa [4] proposed a dynamic programming algorithm and severalheuristics BPM problem is practically applied in many manufacturing industries One of them issemiconductor wafer manufacturing industry BPM problem is applied in the furnace area in themanufacturing process of semiconductor wafers The machine is only shared by jobs requiringthe particular processing operation [5] That is in reality only semiconductor wafers with thesame kind of process can be grouped into a batch However the papers above did not take thisconstraint into consideration They assumed the jobs with different processing time can begrouped into the same batches Also the above papers did not consider about maintenancewhen grouping and scheduling jobs

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Jingying HuangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina

Liya WangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina

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KEYNOTE AND INVITE SPEAKERS

Keynote Speech

Keynote Speech ndashI

Abstract of speech

Many products are designed to last longer than

the typical lifespan of human being Its thus a

challenge to validate the design life through

reliability tests even when testing is conducted

under much harsher environment Not only that

test duration is usually constrained but the

samples available for testing may also be costly

andor limited in quantity Statistically optimal

plans will allow for efficient use of testing

resources and yet derive the most information

from the test In this presentation we shall

discuss ideas related to designing test plans for

both constant stress and step stress ALT leading

to the statistical optimal plan for sequential ALT

While that of constant ALT is basically a Bayesian

approach that for the step stress ALT requires

solving a dynamic program using backward

induction For the latter optimal solutions are

only available for exponential lifetime and there

are rooms for further research

Loon Ching TANG

BIO Dr Loon Ching TANG is currently the Director of

Temasek Defence Systems Institute and Professor of

Department of Industrial Systems Engineering and

Management at the National University of Singapore

He obtained his PhD degree from Cornell University in

the field of Operations Research in 1992 and has

published extensively in areas related to industrial

engineering and operations research He has been

presented with a number of best paper awards

including the IIE Transactions 2010 Best Application

Paper Award and 2012 RA EvansPK McElroy Award

for the best paper at Annual RAMS Prof Tang is the

main author of the award-winning book Six Sigma

Advanced Tools for Black Belts and Master Black Belts

Besides being active in the forefront of academic

research in the last 25 years Prof Tang has served as

consultant for many organizations such as the

Ministry of Home Affair Singapore Power Republic of

Singapore Air Force Seagate HP Phillips etc on a

wide range of projects aiming at improving

organizational and operations efficiency especially

through better management of engineering assets He

is currently a fellow of ISEAM the Editor of Quality amp

Reliability Engineering International and an editorial

review board member of the flagship journal of ASQ

Journal of Quality Technology (since 2006) He has

served as the Region VP (Asia) of IIE (2013-16) and a

member of the advisory board of the Singapore

Innovation and Productivity Institute

Apr 26(Thu) 2018 1305-1350

Auditorium Room

ldquoPlanning Sequential Accelerated Life Testingrdquo

Prof Loon Ching TANG

National University of Singapore Singapore

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Keynote Speech ndashII

George ZHANG

BIO Professor Zhe George Zhang is a professor of

Management Science in the Department of Decision

Sciences at Western Washington University and a

professor of Operations Management in Beedie

School of Business at Simon Fraser University He is

also visiting professor of Sauder School of Business

at the University of British Columbia Dr Zhang

received his BS in Computer Science and MA in

Economics from Nankai University China his MBA

from the Schulich School of Business at York

University and his PhD in Operations research from

the University of Waterloo Professor Zhang has

published many papers in prestigious journals such

as Management Science Operations Research

Manufacturing amp Service Operations Management

Production and Operations Management IIE

Transactions IEEE Transactions Queueing Systems

Journal of Applied Probability Co-authored with

Professor Tian in 2006 he published the research

monograph Vacation Queueing Models - Theory

and Applications the first book on this particular

topic (now highly cited) Professor Zhangs research

interests include queueing theory and applications

and stochastic models for manufacturing and

service systems The main theme of his research is

to bridge the gap between theory and application

obtaining unobservable and sometimes

counter-intuitive but significantpractical

management insights via modeling and quantitative

analysis Currently he is particularly interested in

the quantitative and economic analysis of the

congestion problems in urbanmass transportation

networks healthmedical care systems and public

service systems with both customer service quality

and security concerns As an expert in data analysis

and quantitative modeling he has consulted in

industry and has given research seminars and short

lectures at leading universities around the world He

was invited to present plenary or keynote talks in

several international conferences Professor Zhang

is the one of Editor-in-Chiefs for new journal

Queueing Models and Service Management aan

associate editor of INFOR (Information Systems and

Operations Research) and is on the editorial board

of several international journals in Operations

Research and Management Science

Apr 26(Thu) 2018 1350-1435

Auditorium Room

ldquordquo

Prof George ZHANG

Western Washington University USA

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Keynote Speech ndashIII

Abstract of speech

The purpose of this paper is to investigate the

generalized age maintenance policies for a system

with random working times When the system fails

it is subject to one of two types of failures with

age-dependent probability type I failure can be

removed by minimal repair and type II failure must

be rectified by replacementA First the system is

preventively replaced before type II failure at time T

or at the completion of Nth working projects

whichever occurs first Two modified models where

the system is preventively replaced before type II

failure at time T or at the completion of Nth

working projects whichever occurs last and it is

preventively replaced at the first completion of the

working project over time T or at the completion of

Nth working projects whichever occurs first are

considered By introducing costs due to repairs

maintenance and replacement the expected cost

per unit time is derived as a criterion of optimality

and the optimal policy that minimizes that cost is

discussed analytically

Shey-Huei SHEU

BIO Professor Shey-Huei Sheu is a Chair Professor

of Department of Statistics and Informatics Science

at the Providence University He is an Honorary

Chair Professor of the Department of Industrial

Management at the National Taiwan University of

Science and Technology He received his MS

degree (1979) in applied mathematics from the

National Tsing Hua University and his PhD degree

(1987) in statistics from the University of Kentucky

He has published in journals such as Naval Research

Logistics Journal of Applied Probability RAIRO

Operations Research Microelectronics and

Reliability Reliability Engineering and System Safety

International Journal of Systems Science Quality

and Reliability Engineering International

International Journal of Reliability Quality and

Safety Engineering Journal of the Operational

Research Society European Journal of the

Operational Research Computers and Operation

Research Computers and Industrial Engineering

Quality Engineering Asia-Pacific Journal of the

Operational Research Communications in

Statistics-Theory and Methods Computers and

Mathematics with Applications Simulation

Modeling Practice and Theory Communications in

Statistics-Simulation and Computation Journal of

Statistical Computation and Simulation

International Journal of Production Economics

Quality Technology and Quantitative Management

The International Journal of Advanced

Manufacturing Technology Expert Systems

International Journal of Computer Mathematics

Journal of Applied Statistics Production Planning

and Control International Journal of Production

Research Applied Mathematical Modelling IEEE

Transactions on Reliability and Annals of

Operations Research

Apr 26(Thu) 2018 1435-1520

Auditorium Room

ldquoThe Generalized Age Maintenance Policies with

Random Working Timesrdquo

Prof Shey-Huei SHEU

Providence University Taiwan

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Highlight

Keynote Speech ndashIV

Abstract of speech

IEEE 80211ah a specification belonging to 80211

wireless local area network (WLAN) protocol family

has been recently released to support the

long-range low-power and low-rate wireless

communication among smart devices used in

Internet of Thing (IoT) systems However security

requirements of the energy-constrained devices

have plenty of issues different from the traditional

wireless devices It requires that the lightweight

security protocols have to support low-power and

low-latency as well as the long-lasting features of

quantities of IoT devices The recently released IEEE

statndard IEEE 80211ai has specified a Fast Initial

Link Setup (FILS) which is a brand-new approach

aiming at establishing fast stable and secure links

among smart devices IEEE 80211ai could be applied

to other wireless systems such as the wireless

system of IEEE 80211ah with security

enhancements In this talk I would address the

secureity issues of IEEE 80211ai and IEEE 80211ah

with an new proposal to enhance the

authentication process in the link setup procedure

specified by IEEE 80211ai

Maode MA

BIO Dr Maode Ma is a Fellow of IET He received his

PhD degree in computer science from Hong Kong

University of Science and Technology in 1999 Now

Dr Ma is an Associate Professor in the School of

Electrical and Electronic Engineering at Nanyang

Technological University in Singapore He has

extensive research interests including network

security and wireless networking Dr Ma has about

350 international academic publications including

over 160 journal papers and about 190 conference

papers He has delivered over 50 keynote speeches

at various international conferences He has served

as various chairs for over 100 international

conferences He currently serves as the

Editor-in-Chief of International Journal of Computer

and Communication Engineering and International

Journal of Electronic Transport He also serves as a

Senior Editor or an Associate Editor for other 4

international academic journals Dr Ma is a Senior

Member of IEEE Communication Society and IEEE

Education Society and a Member of ACM He is the

Chair of the IEEE Education Society Singapore

Chapter and the Chair of the ACM Singapore

Chapter He has served as an IEEE Communication

Society Distinguished Lecturer from 2013-2016

Apr 26(Thu) 2018 1530-1615

Auditorium Room

ldquoEfficient and Secure Authentication Schemes for

IEEE 80211ah Networks rdquo

Prof Maode MA

Nanyang Technological University Singapore

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Highlight

Keynote Speech ndashV

Abstract of speech

Stochastic aircraft routing (SAR) plays a critical role

in defining the routing plans of airlines which

include assigning the aircraft to flight legs and

determining the time and location of maintenance

to the aircraft Based on the routing plan specified

by the airlines the maintenance providers should

schedule their workforce to perform maintenance

operations by solving the maintenance staffing

problem (MSP) MSP helps maintenance providers

to build their staffing plans which include the

assignment of manpower to each aircraft so that

aircraft receive the required maintenance

operations as planned Practically for airlines the

routing plan will be interrupted (eg flight delays) if

an aircraft cannot be released from the

maintenance station punctually Similarly for

maintenance providers if an aircraft misses the

scheduled appointment at the maintenance station

this will also cause a huge interruption to their

staffing plan Therefore there is an interrelationship

between SAR and MSP In the literature the focus

of each problem has been traditionally considered

separately with only limited consideration of their

interrelationship In this paper we study SAR along

with MSP with the objective of investigating the

interrelationship between SAR and MSP For this

purpose we propose a coordinated configuration

of SAR and MSP that is formulated as a

leader-follower Stackelbery game in which SAR

acts as a leader and MSP acts as a follower This

game is enacted through a bi-level optimization

model which is solved by a bi-level nested ant

colony optimization (ACO) algorithm A case study

of a major airline and maintenance provider located

in the Middle East is presented to demonstrate the

feasibility and potential of the proposed model The

results demonstrate significant saving in the costs

of both companies

Felix TS CHAN

BIO Professor Felix T S Chan received his BSc

Degree in Mechanical Engineering from Brighton

Polytechnic (now University) UK and obtained his

MSc and PhD in Manufacturing Engineering from

the Imperial College of Science and Technology

University of London UK Professor Chan is now

working at the Department of Industrial and

Systems Engineering The Hong Kong Polytechnic

University and also serving as Associate Dean

(Research) at the Faculty of Engineering His current

research interests are Logistics and Supply Chain

Management Operations Management

Distribution Coordination Systems Modelling and

Simulation AI Optimisation To date he has

published 16 book chapters over 300 refereed

international journal papers and 250 peer reviewed

international conference papers h index= 30 under

the Web of Science He is a chartered member of

the Chartered Institute of Logistics and Transport in

Hong Kong According to a study lately published in

the International Journal of Production Research

(httpdxdoiorg1010800020754320151037935)

the study measured the research contributions over

a 26-year time frame (1985-2010) of academic

institutions and individual authors to the field of

Apr 26(Thu) 2018 1615-1700

Auditorium Room

ldquoInvestigating the Interrelationship between

Stochastic Aircraft Routing of Airlines and

Maintenance Staffing of Maintenance Providersrdquo

Prof Felix TS CHAN

The Hong Kong Polytechnic University Hong Kong

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Highlight

Operations Management (OM) based on published

articles in 11 top-rated and well-known academic OM

journals Professor Chan was among the top 50

prolific authors list who have made the greatest

overall contribution to the field as measured by the

number of distributed and shared articles published

in the 11 designated journals Also Professor Chan

was Ranked No 3 in The top 100 authors as the

most productive researchers in the field of

Operations Management over the past 10 years

(2001-2010)

COMMITTEE

ICIEA 2018 Organizing Committee

International Advisory Committee

Zhe George Zhang Western Washington University USA

Conference Chairs

Felix T S Chan The Hong Kong Polytechnic University Hong Kong

Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan

Local Organizing Chair

TANG Loon Ching National University of Singapore Singapore

Organizing and Program Committees

Seoung Bum Kim School of Industrial Mangement Engineering Korea University

Usik Lee Inha University Korea

Maode Ma Nanyang Technological University Singapore

Finance Chair

Minghan Xi Dalian Maritime University China

International Technical Committees

Cheng-Feng HuNational Chiayi University Taiwan

Dong-Yuh YangNational Taipei University of Business Taiwan

Mario HirzGraz University of Technology Austria

Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt

Po-Hsiang Liu College of Business and Management in St Johns University USA

Taesu Cheong Korea University Korea

Tien-Lun Liu Chung Yuan Christian University Taiwan

Wei CaiWuhan University of Technology China

Jinguo Huang Huazhong University of Science and Technology China

Yu-Chung Tsao National Taiwan University of Science Technology Taiwan

Yip Mum WaiTunku Abdul Rahman University College Malaysia

Pule Kholopane University of Johannesburg South Africa

Bonivasius Prasetya Ichtiarto mercu buana university Indonesia

Elita Amrina Andalas University Indonesia

Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan

Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong

Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia

Lenovo
Highlight
Lenovo
Highlight
Lenovo
Highlight
Lenovo
Highlight

Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India

Byung Do Chung Yonsei University Korea

M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia

Sandeep Singhal National Institute of Technology India

J W Wang The University of Hong Kong Hong Kong

Ching-Chang Kuo National Taichung University of Science and Technology Taiwan

Kuo-Hsiung Wang Providence University Taiwan

ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia

Sangbok Lee Hansung University Korea

Adrian E Coronado Mondragon Royal Holloway University of London UK

Chin-I Lee Ling Tung University Taiwan

S H ChoiUniversity of Hong Kong Hong Kong

Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan

Wei Cai Wuhan University of Technology China

Hashibah Hamid Universiti Utara Malaysia Malaysia

TMA Ari Samadhi Bandung Institute of Technology Indonesia

Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia

Pi-Chun Hsu Chaoyang University of Technology Taiwan

Mu-Chen Chen National Chiao Tung University Taiwan

Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan

Tsu-Wei Yu Chaoyang University of Technology Taiwan

Lingyun Wei Beijing University of Posts and Telecommunications China

Hamdi Bashir University of sharjahUnited Arab Emirates

LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand

LIU Hai-peng Kunming University of Science and Technology China

Elfira Febriani Trisakti University Indonesia

Yu-Hsiang Hsiao National Taipei University Taiwan

Chien-Chih Wang Ming Chi University of Technology Taiwan

Atichart Harncharnchai Chiang Mai University Thailand

Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)

Switzerland

Bambang Suhardi Universitas Sebelas Maret Indonesia

Ssu Han Chen Ming Chi University of Technology Taiwan

Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia

Augustina Asih Rumanti Bandung Institute of Technology Indonesia

Maheshwar Dwivedy BML Munjal University India

Zhichuan Guan China university of petroleum (East China) China

Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia

Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia

Yenming J Chen National Kaohsiung University of Science and Technology Taiwan

Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia

TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand

Li Li Nanjing University of Science and Technology China

SERTIFIKAT

Page 25: Nilai Maksimal Prosiding - eprints.undip.ac.ideprints.undip.ac.id/70482/1/...of_GSCM_practice_peer_review_lengkap.pdf · discriminant function as Z= (0.238-IeM) + (0.602-GPU) + (1.161-CCO)

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All Enter keywords or phrases (Note Searches metadata only by default A search for smart grid = smart AND grid)

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Conferences gt 2018 5th International Confer

3 Author(s) Ploynaplus Thanasiritham Natcha Thawesaengskulthai Prasert Akkharaprathomphong View All Authors

Innovative product development of fabric glass interlayer

39FullText Views

Abstract

Document Sections

I Introduction

II Methodology

III Conclusion

Authors

Figures

References

Keywords

MetricsPublished in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

References

Keywords

Metrics

AbstractA glass manufacturer in Thailand developed the laminated fabric glass as innovative product in 2013but sales had declined in 2016 Customers survey shows that the satisfaction level decreased due tolong production lead time high-selling price and long installation time This paper aims to develop anew innovative fabric glass interlayer product by adopting 5D innovation development process 5Dconsists of Discover Define Design Develop and Deploy Firstly discover phase adopted Five ForcesAnalysis Customer Behavior Analysis and Customers Satisfaction Survey for specifying marketposition and seeking the hidden customers expectations Define is to summarize the project charteras initiation step in the project management and to scope resources and timeframe Design weadopted the integration of QFD Kano Model and Product Quality Index for prioritizing and translatingcustomer expectations to product specifications Then all concepts were concluded by Pugh MatrixWeighted Sum Score and confirmed the selected concept by financial feasibility study Developprocess is to prototyping to verify the production before scale up Finally generated the riskassessment plan by FMEA and contributed the business plan to ensure the effectivecommercialization in Deploy The developed fabric glass interlayer shows higher customer satisfactionlevel by shorten production lead time from 14 days to 8 days (4285) lower price from 790 bahtft to 485 bahtft (3861) and shorten installation time from 180 minutes to 45 minutes (75)

2

2

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844226

DOI 101109IEA20188387141

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionThe case company is one of the glass manufacturers in Thailand who process the fundamentalfunctional building glass tempered and laminated glass for the architectural construction andinterior decoration The companys vision was stated to be the leader of glass innovation within2022 To be the leader of the glass innovation case company should focus on the continuousinnovative product development The mainly innovative product that had been sold for manyyears was the fabric glass as 52 52 and 47 in 2015 2016 and 2017 respectively

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Ploynaplus ThanasirithamDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

Natcha ThawesaengskulthaiDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

Prasert AkkharaprathomphongDepartment of Industrial Engineering Faculty of Engineering Chulalongkorn University BangkokThailand

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Study of a Customer Satisfaction-OrientedModel for Outsourcing Software QualityManagement Using Quality FunctionDeployment (QFD)2008 4th International Conference on WirelessCommunications Networking and MobileComputingPublished 2008

Fuzzy Eco-Design Product Development byUsing Quality Function Deployment2005 4th International Symposium onEnvironmentally Conscious Design and InverseManufacturingPublished 2005

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Conferences gt 2018 5th International Confer

2 Author(s) Jingying Huang Liya Wang View All Authors

Makespan minimization on single batch-processing machine consideringpreventive maintenance

37FullText Views

Abstract

Document Sections

I Introduction

II Problem Description

III Batching Rule

IV Improved Heuristics

V ComputationalResults andDiscussions

Show Full Outline

Authors

Figures

References

Keywords

Metrics

Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

References

Keywords

Metrics

AbstractThis paper considers the problem of minimizing makespan on a single batch-processing machineconsidering preventive maintenance A mathematical model for integrating flexible preventivemaintenance into the batch-processing machine scheduling is proposed A two-stage method isproposed to solve the problem A batching rule considering maintenance is proposed to group jobsinto batches firstly And then we improve existing heuristics to schedule production and maintenanceComputational results indicate that the two-stage method based on proposed batching rule andimproved heuristics is effective

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844275

DOI 101109IEA20188387113

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionBPM (Batch processing machine) problem has attracted many researchers in recent years BPMis able to process a group of jobs as long as the number of jobs in the batch is less than or equalto the capacity of the machine To minimize total flow time Rui Xu [1] proposed an ant colonyalgorithm combined with the candidate list NR Parsa [2] proposed an algorithm using a hybridmax-min ant system AH Kashan [3] proposed a batch based hybrid genetic algorithm thatgenerates random batches of jobs and ensures feasibility To minimize total earliness andtardiness of the jobs NR Parsa [4] proposed a dynamic programming algorithm and severalheuristics BPM problem is practically applied in many manufacturing industries One of them issemiconductor wafer manufacturing industry BPM problem is applied in the furnace area in themanufacturing process of semiconductor wafers The machine is only shared by jobs requiringthe particular processing operation [5] That is in reality only semiconductor wafers with thesame kind of process can be grouped into a batch However the papers above did not take thisconstraint into consideration They assumed the jobs with different processing time can begrouped into the same batches Also the above papers did not consider about maintenancewhen grouping and scheduling jobs

Sign in to Continue Reading

Jingying HuangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina

Liya WangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina

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More Like This

ACO-based Parallel Machine SchedulingConsidering Both Setup Time and Run-basedPreventive Maintenance with ReliabilityConstraints2018 IEEE International Conference onIndustrial Engineering and EngineeringManagement (IEEM)Published 2018

MSPT2 Heuristic and Dynamic ProgrammingMethod for the Parallel Machine SchedulingProblem with scheduled PreventiveMaintenance2006 International Conference on ServiceSystems and Service ManagementPublished 2006

View More

Advertisement

Click to Expand

See the top organizations patenting intechnologies mentioned in this article

IEEE Account

raquo Change UsernamePassword

raquo Update Address

Purchase Details

raquo Payment Options

raquo Order History

raquo View Purchased Documents

Profile Information

raquo Communications Preferences

raquo Profession and Education

raquo Technical Interests

Need Help

raquo US amp Canada +1 800 678 4333

raquo Worldwide +1 732 981 0060

raquo Contact amp Support

A not-for-profit organization IEEE is the worlds largest technical professional organization dedicated to advancing technology for the benefit of humanity copy Copyright 2019 IEEE - All rights reserved Use of this web site signifies your agreement to the terms and conditions

About IEEE Xplore Contact Us| Help| Accessibility| Terms of Use| Nondiscrimination Policy| Sitemap| Privacy amp Opting Out of Cookies|

My Settings Get HelpBrowse Subscribe

Scheduled System MaintenanceFrom April 5 through April 9 IEEE Xplore will undergo scheduled maintenance

During this time saved searches will not be editable We apologize for any inconvenience

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KEYNOTE AND INVITE SPEAKERS

Keynote Speech

Keynote Speech ndashI

Abstract of speech

Many products are designed to last longer than

the typical lifespan of human being Its thus a

challenge to validate the design life through

reliability tests even when testing is conducted

under much harsher environment Not only that

test duration is usually constrained but the

samples available for testing may also be costly

andor limited in quantity Statistically optimal

plans will allow for efficient use of testing

resources and yet derive the most information

from the test In this presentation we shall

discuss ideas related to designing test plans for

both constant stress and step stress ALT leading

to the statistical optimal plan for sequential ALT

While that of constant ALT is basically a Bayesian

approach that for the step stress ALT requires

solving a dynamic program using backward

induction For the latter optimal solutions are

only available for exponential lifetime and there

are rooms for further research

Loon Ching TANG

BIO Dr Loon Ching TANG is currently the Director of

Temasek Defence Systems Institute and Professor of

Department of Industrial Systems Engineering and

Management at the National University of Singapore

He obtained his PhD degree from Cornell University in

the field of Operations Research in 1992 and has

published extensively in areas related to industrial

engineering and operations research He has been

presented with a number of best paper awards

including the IIE Transactions 2010 Best Application

Paper Award and 2012 RA EvansPK McElroy Award

for the best paper at Annual RAMS Prof Tang is the

main author of the award-winning book Six Sigma

Advanced Tools for Black Belts and Master Black Belts

Besides being active in the forefront of academic

research in the last 25 years Prof Tang has served as

consultant for many organizations such as the

Ministry of Home Affair Singapore Power Republic of

Singapore Air Force Seagate HP Phillips etc on a

wide range of projects aiming at improving

organizational and operations efficiency especially

through better management of engineering assets He

is currently a fellow of ISEAM the Editor of Quality amp

Reliability Engineering International and an editorial

review board member of the flagship journal of ASQ

Journal of Quality Technology (since 2006) He has

served as the Region VP (Asia) of IIE (2013-16) and a

member of the advisory board of the Singapore

Innovation and Productivity Institute

Apr 26(Thu) 2018 1305-1350

Auditorium Room

ldquoPlanning Sequential Accelerated Life Testingrdquo

Prof Loon Ching TANG

National University of Singapore Singapore

Lenovo
Highlight

Keynote Speech ndashII

George ZHANG

BIO Professor Zhe George Zhang is a professor of

Management Science in the Department of Decision

Sciences at Western Washington University and a

professor of Operations Management in Beedie

School of Business at Simon Fraser University He is

also visiting professor of Sauder School of Business

at the University of British Columbia Dr Zhang

received his BS in Computer Science and MA in

Economics from Nankai University China his MBA

from the Schulich School of Business at York

University and his PhD in Operations research from

the University of Waterloo Professor Zhang has

published many papers in prestigious journals such

as Management Science Operations Research

Manufacturing amp Service Operations Management

Production and Operations Management IIE

Transactions IEEE Transactions Queueing Systems

Journal of Applied Probability Co-authored with

Professor Tian in 2006 he published the research

monograph Vacation Queueing Models - Theory

and Applications the first book on this particular

topic (now highly cited) Professor Zhangs research

interests include queueing theory and applications

and stochastic models for manufacturing and

service systems The main theme of his research is

to bridge the gap between theory and application

obtaining unobservable and sometimes

counter-intuitive but significantpractical

management insights via modeling and quantitative

analysis Currently he is particularly interested in

the quantitative and economic analysis of the

congestion problems in urbanmass transportation

networks healthmedical care systems and public

service systems with both customer service quality

and security concerns As an expert in data analysis

and quantitative modeling he has consulted in

industry and has given research seminars and short

lectures at leading universities around the world He

was invited to present plenary or keynote talks in

several international conferences Professor Zhang

is the one of Editor-in-Chiefs for new journal

Queueing Models and Service Management aan

associate editor of INFOR (Information Systems and

Operations Research) and is on the editorial board

of several international journals in Operations

Research and Management Science

Apr 26(Thu) 2018 1350-1435

Auditorium Room

ldquordquo

Prof George ZHANG

Western Washington University USA

Lenovo
Highlight

Keynote Speech ndashIII

Abstract of speech

The purpose of this paper is to investigate the

generalized age maintenance policies for a system

with random working times When the system fails

it is subject to one of two types of failures with

age-dependent probability type I failure can be

removed by minimal repair and type II failure must

be rectified by replacementA First the system is

preventively replaced before type II failure at time T

or at the completion of Nth working projects

whichever occurs first Two modified models where

the system is preventively replaced before type II

failure at time T or at the completion of Nth

working projects whichever occurs last and it is

preventively replaced at the first completion of the

working project over time T or at the completion of

Nth working projects whichever occurs first are

considered By introducing costs due to repairs

maintenance and replacement the expected cost

per unit time is derived as a criterion of optimality

and the optimal policy that minimizes that cost is

discussed analytically

Shey-Huei SHEU

BIO Professor Shey-Huei Sheu is a Chair Professor

of Department of Statistics and Informatics Science

at the Providence University He is an Honorary

Chair Professor of the Department of Industrial

Management at the National Taiwan University of

Science and Technology He received his MS

degree (1979) in applied mathematics from the

National Tsing Hua University and his PhD degree

(1987) in statistics from the University of Kentucky

He has published in journals such as Naval Research

Logistics Journal of Applied Probability RAIRO

Operations Research Microelectronics and

Reliability Reliability Engineering and System Safety

International Journal of Systems Science Quality

and Reliability Engineering International

International Journal of Reliability Quality and

Safety Engineering Journal of the Operational

Research Society European Journal of the

Operational Research Computers and Operation

Research Computers and Industrial Engineering

Quality Engineering Asia-Pacific Journal of the

Operational Research Communications in

Statistics-Theory and Methods Computers and

Mathematics with Applications Simulation

Modeling Practice and Theory Communications in

Statistics-Simulation and Computation Journal of

Statistical Computation and Simulation

International Journal of Production Economics

Quality Technology and Quantitative Management

The International Journal of Advanced

Manufacturing Technology Expert Systems

International Journal of Computer Mathematics

Journal of Applied Statistics Production Planning

and Control International Journal of Production

Research Applied Mathematical Modelling IEEE

Transactions on Reliability and Annals of

Operations Research

Apr 26(Thu) 2018 1435-1520

Auditorium Room

ldquoThe Generalized Age Maintenance Policies with

Random Working Timesrdquo

Prof Shey-Huei SHEU

Providence University Taiwan

Lenovo
Highlight

Keynote Speech ndashIV

Abstract of speech

IEEE 80211ah a specification belonging to 80211

wireless local area network (WLAN) protocol family

has been recently released to support the

long-range low-power and low-rate wireless

communication among smart devices used in

Internet of Thing (IoT) systems However security

requirements of the energy-constrained devices

have plenty of issues different from the traditional

wireless devices It requires that the lightweight

security protocols have to support low-power and

low-latency as well as the long-lasting features of

quantities of IoT devices The recently released IEEE

statndard IEEE 80211ai has specified a Fast Initial

Link Setup (FILS) which is a brand-new approach

aiming at establishing fast stable and secure links

among smart devices IEEE 80211ai could be applied

to other wireless systems such as the wireless

system of IEEE 80211ah with security

enhancements In this talk I would address the

secureity issues of IEEE 80211ai and IEEE 80211ah

with an new proposal to enhance the

authentication process in the link setup procedure

specified by IEEE 80211ai

Maode MA

BIO Dr Maode Ma is a Fellow of IET He received his

PhD degree in computer science from Hong Kong

University of Science and Technology in 1999 Now

Dr Ma is an Associate Professor in the School of

Electrical and Electronic Engineering at Nanyang

Technological University in Singapore He has

extensive research interests including network

security and wireless networking Dr Ma has about

350 international academic publications including

over 160 journal papers and about 190 conference

papers He has delivered over 50 keynote speeches

at various international conferences He has served

as various chairs for over 100 international

conferences He currently serves as the

Editor-in-Chief of International Journal of Computer

and Communication Engineering and International

Journal of Electronic Transport He also serves as a

Senior Editor or an Associate Editor for other 4

international academic journals Dr Ma is a Senior

Member of IEEE Communication Society and IEEE

Education Society and a Member of ACM He is the

Chair of the IEEE Education Society Singapore

Chapter and the Chair of the ACM Singapore

Chapter He has served as an IEEE Communication

Society Distinguished Lecturer from 2013-2016

Apr 26(Thu) 2018 1530-1615

Auditorium Room

ldquoEfficient and Secure Authentication Schemes for

IEEE 80211ah Networks rdquo

Prof Maode MA

Nanyang Technological University Singapore

Lenovo
Highlight

Keynote Speech ndashV

Abstract of speech

Stochastic aircraft routing (SAR) plays a critical role

in defining the routing plans of airlines which

include assigning the aircraft to flight legs and

determining the time and location of maintenance

to the aircraft Based on the routing plan specified

by the airlines the maintenance providers should

schedule their workforce to perform maintenance

operations by solving the maintenance staffing

problem (MSP) MSP helps maintenance providers

to build their staffing plans which include the

assignment of manpower to each aircraft so that

aircraft receive the required maintenance

operations as planned Practically for airlines the

routing plan will be interrupted (eg flight delays) if

an aircraft cannot be released from the

maintenance station punctually Similarly for

maintenance providers if an aircraft misses the

scheduled appointment at the maintenance station

this will also cause a huge interruption to their

staffing plan Therefore there is an interrelationship

between SAR and MSP In the literature the focus

of each problem has been traditionally considered

separately with only limited consideration of their

interrelationship In this paper we study SAR along

with MSP with the objective of investigating the

interrelationship between SAR and MSP For this

purpose we propose a coordinated configuration

of SAR and MSP that is formulated as a

leader-follower Stackelbery game in which SAR

acts as a leader and MSP acts as a follower This

game is enacted through a bi-level optimization

model which is solved by a bi-level nested ant

colony optimization (ACO) algorithm A case study

of a major airline and maintenance provider located

in the Middle East is presented to demonstrate the

feasibility and potential of the proposed model The

results demonstrate significant saving in the costs

of both companies

Felix TS CHAN

BIO Professor Felix T S Chan received his BSc

Degree in Mechanical Engineering from Brighton

Polytechnic (now University) UK and obtained his

MSc and PhD in Manufacturing Engineering from

the Imperial College of Science and Technology

University of London UK Professor Chan is now

working at the Department of Industrial and

Systems Engineering The Hong Kong Polytechnic

University and also serving as Associate Dean

(Research) at the Faculty of Engineering His current

research interests are Logistics and Supply Chain

Management Operations Management

Distribution Coordination Systems Modelling and

Simulation AI Optimisation To date he has

published 16 book chapters over 300 refereed

international journal papers and 250 peer reviewed

international conference papers h index= 30 under

the Web of Science He is a chartered member of

the Chartered Institute of Logistics and Transport in

Hong Kong According to a study lately published in

the International Journal of Production Research

(httpdxdoiorg1010800020754320151037935)

the study measured the research contributions over

a 26-year time frame (1985-2010) of academic

institutions and individual authors to the field of

Apr 26(Thu) 2018 1615-1700

Auditorium Room

ldquoInvestigating the Interrelationship between

Stochastic Aircraft Routing of Airlines and

Maintenance Staffing of Maintenance Providersrdquo

Prof Felix TS CHAN

The Hong Kong Polytechnic University Hong Kong

Lenovo
Highlight

Operations Management (OM) based on published

articles in 11 top-rated and well-known academic OM

journals Professor Chan was among the top 50

prolific authors list who have made the greatest

overall contribution to the field as measured by the

number of distributed and shared articles published

in the 11 designated journals Also Professor Chan

was Ranked No 3 in The top 100 authors as the

most productive researchers in the field of

Operations Management over the past 10 years

(2001-2010)

COMMITTEE

ICIEA 2018 Organizing Committee

International Advisory Committee

Zhe George Zhang Western Washington University USA

Conference Chairs

Felix T S Chan The Hong Kong Polytechnic University Hong Kong

Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan

Local Organizing Chair

TANG Loon Ching National University of Singapore Singapore

Organizing and Program Committees

Seoung Bum Kim School of Industrial Mangement Engineering Korea University

Usik Lee Inha University Korea

Maode Ma Nanyang Technological University Singapore

Finance Chair

Minghan Xi Dalian Maritime University China

International Technical Committees

Cheng-Feng HuNational Chiayi University Taiwan

Dong-Yuh YangNational Taipei University of Business Taiwan

Mario HirzGraz University of Technology Austria

Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt

Po-Hsiang Liu College of Business and Management in St Johns University USA

Taesu Cheong Korea University Korea

Tien-Lun Liu Chung Yuan Christian University Taiwan

Wei CaiWuhan University of Technology China

Jinguo Huang Huazhong University of Science and Technology China

Yu-Chung Tsao National Taiwan University of Science Technology Taiwan

Yip Mum WaiTunku Abdul Rahman University College Malaysia

Pule Kholopane University of Johannesburg South Africa

Bonivasius Prasetya Ichtiarto mercu buana university Indonesia

Elita Amrina Andalas University Indonesia

Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan

Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong

Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia

Lenovo
Highlight
Lenovo
Highlight
Lenovo
Highlight
Lenovo
Highlight

Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India

Byung Do Chung Yonsei University Korea

M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia

Sandeep Singhal National Institute of Technology India

J W Wang The University of Hong Kong Hong Kong

Ching-Chang Kuo National Taichung University of Science and Technology Taiwan

Kuo-Hsiung Wang Providence University Taiwan

ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia

Sangbok Lee Hansung University Korea

Adrian E Coronado Mondragon Royal Holloway University of London UK

Chin-I Lee Ling Tung University Taiwan

S H ChoiUniversity of Hong Kong Hong Kong

Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan

Wei Cai Wuhan University of Technology China

Hashibah Hamid Universiti Utara Malaysia Malaysia

TMA Ari Samadhi Bandung Institute of Technology Indonesia

Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia

Pi-Chun Hsu Chaoyang University of Technology Taiwan

Mu-Chen Chen National Chiao Tung University Taiwan

Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan

Tsu-Wei Yu Chaoyang University of Technology Taiwan

Lingyun Wei Beijing University of Posts and Telecommunications China

Hamdi Bashir University of sharjahUnited Arab Emirates

LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand

LIU Hai-peng Kunming University of Science and Technology China

Elfira Febriani Trisakti University Indonesia

Yu-Hsiang Hsiao National Taipei University Taiwan

Chien-Chih Wang Ming Chi University of Technology Taiwan

Atichart Harncharnchai Chiang Mai University Thailand

Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)

Switzerland

Bambang Suhardi Universitas Sebelas Maret Indonesia

Ssu Han Chen Ming Chi University of Technology Taiwan

Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia

Augustina Asih Rumanti Bandung Institute of Technology Indonesia

Maheshwar Dwivedy BML Munjal University India

Zhichuan Guan China university of petroleum (East China) China

Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia

Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia

Yenming J Chen National Kaohsiung University of Science and Technology Taiwan

Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia

TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand

Li Li Nanjing University of Science and Technology China

SERTIFIKAT

Page 26: Nilai Maksimal Prosiding - eprints.undip.ac.ideprints.undip.ac.id/70482/1/...of_GSCM_practice_peer_review_lengkap.pdf · discriminant function as Z= (0.238-IeM) + (0.602-GPU) + (1.161-CCO)

Institutional Sign In

IEEEorg IEEE Xplore Digital Library| IEEE-SA| IEEE Spectrum| More Sites| Cart (0) Create Account| Personal Sign In|

All Enter keywords or phrases (Note Searches metadata only by default A search for smart grid = smart AND grid)

Advanced Search | Other Search Options

Conferences gt 2018 5th International Confer

2 Author(s) Jingying Huang Liya Wang View All Authors

Makespan minimization on single batch-processing machine consideringpreventive maintenance

37FullText Views

Abstract

Document Sections

I Introduction

II Problem Description

III Batching Rule

IV Improved Heuristics

V ComputationalResults andDiscussions

Show Full Outline

Authors

Figures

References

Keywords

Metrics

Published in 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)

Authors

Figures

References

Keywords

Metrics

AbstractThis paper considers the problem of minimizing makespan on a single batch-processing machineconsidering preventive maintenance A mathematical model for integrating flexible preventivemaintenance into the batch-processing machine scheduling is proposed A two-stage method isproposed to solve the problem A batching rule considering maintenance is proposed to group jobsinto batches firstly And then we improve existing heuristics to schedule production and maintenanceComputational results indicate that the two-stage method based on proposed batching rule andimproved heuristics is effective

Date of Conference 26-28 April 2018

Date Added to IEEE Xplore 18 June 2018

ISBN Information

INSPEC Accession Number 17844275

DOI 101109IEA20188387113

Publisher IEEE

Conference Location Singapore Singapore

I IntroductionBPM (Batch processing machine) problem has attracted many researchers in recent years BPMis able to process a group of jobs as long as the number of jobs in the batch is less than or equalto the capacity of the machine To minimize total flow time Rui Xu [1] proposed an ant colonyalgorithm combined with the candidate list NR Parsa [2] proposed an algorithm using a hybridmax-min ant system AH Kashan [3] proposed a batch based hybrid genetic algorithm thatgenerates random batches of jobs and ensures feasibility To minimize total earliness andtardiness of the jobs NR Parsa [4] proposed a dynamic programming algorithm and severalheuristics BPM problem is practically applied in many manufacturing industries One of them issemiconductor wafer manufacturing industry BPM problem is applied in the furnace area in themanufacturing process of semiconductor wafers The machine is only shared by jobs requiringthe particular processing operation [5] That is in reality only semiconductor wafers with thesame kind of process can be grouped into a batch However the papers above did not take thisconstraint into consideration They assumed the jobs with different processing time can begrouped into the same batches Also the above papers did not consider about maintenancewhen grouping and scheduling jobs

Sign in to Continue Reading

Jingying HuangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina

Liya WangDepartment of Industrial Engineering and Management Shanghai Jiao Tong University ShanghaiChina

Advertisement

More Like This

ACO-based Parallel Machine SchedulingConsidering Both Setup Time and Run-basedPreventive Maintenance with ReliabilityConstraints2018 IEEE International Conference onIndustrial Engineering and EngineeringManagement (IEEM)Published 2018

MSPT2 Heuristic and Dynamic ProgrammingMethod for the Parallel Machine SchedulingProblem with scheduled PreventiveMaintenance2006 International Conference on ServiceSystems and Service ManagementPublished 2006

View More

Advertisement

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See the top organizations patenting intechnologies mentioned in this article

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Lenovo
Highlight

KEYNOTE AND INVITE SPEAKERS

Keynote Speech

Keynote Speech ndashI

Abstract of speech

Many products are designed to last longer than

the typical lifespan of human being Its thus a

challenge to validate the design life through

reliability tests even when testing is conducted

under much harsher environment Not only that

test duration is usually constrained but the

samples available for testing may also be costly

andor limited in quantity Statistically optimal

plans will allow for efficient use of testing

resources and yet derive the most information

from the test In this presentation we shall

discuss ideas related to designing test plans for

both constant stress and step stress ALT leading

to the statistical optimal plan for sequential ALT

While that of constant ALT is basically a Bayesian

approach that for the step stress ALT requires

solving a dynamic program using backward

induction For the latter optimal solutions are

only available for exponential lifetime and there

are rooms for further research

Loon Ching TANG

BIO Dr Loon Ching TANG is currently the Director of

Temasek Defence Systems Institute and Professor of

Department of Industrial Systems Engineering and

Management at the National University of Singapore

He obtained his PhD degree from Cornell University in

the field of Operations Research in 1992 and has

published extensively in areas related to industrial

engineering and operations research He has been

presented with a number of best paper awards

including the IIE Transactions 2010 Best Application

Paper Award and 2012 RA EvansPK McElroy Award

for the best paper at Annual RAMS Prof Tang is the

main author of the award-winning book Six Sigma

Advanced Tools for Black Belts and Master Black Belts

Besides being active in the forefront of academic

research in the last 25 years Prof Tang has served as

consultant for many organizations such as the

Ministry of Home Affair Singapore Power Republic of

Singapore Air Force Seagate HP Phillips etc on a

wide range of projects aiming at improving

organizational and operations efficiency especially

through better management of engineering assets He

is currently a fellow of ISEAM the Editor of Quality amp

Reliability Engineering International and an editorial

review board member of the flagship journal of ASQ

Journal of Quality Technology (since 2006) He has

served as the Region VP (Asia) of IIE (2013-16) and a

member of the advisory board of the Singapore

Innovation and Productivity Institute

Apr 26(Thu) 2018 1305-1350

Auditorium Room

ldquoPlanning Sequential Accelerated Life Testingrdquo

Prof Loon Ching TANG

National University of Singapore Singapore

Lenovo
Highlight

Keynote Speech ndashII

George ZHANG

BIO Professor Zhe George Zhang is a professor of

Management Science in the Department of Decision

Sciences at Western Washington University and a

professor of Operations Management in Beedie

School of Business at Simon Fraser University He is

also visiting professor of Sauder School of Business

at the University of British Columbia Dr Zhang

received his BS in Computer Science and MA in

Economics from Nankai University China his MBA

from the Schulich School of Business at York

University and his PhD in Operations research from

the University of Waterloo Professor Zhang has

published many papers in prestigious journals such

as Management Science Operations Research

Manufacturing amp Service Operations Management

Production and Operations Management IIE

Transactions IEEE Transactions Queueing Systems

Journal of Applied Probability Co-authored with

Professor Tian in 2006 he published the research

monograph Vacation Queueing Models - Theory

and Applications the first book on this particular

topic (now highly cited) Professor Zhangs research

interests include queueing theory and applications

and stochastic models for manufacturing and

service systems The main theme of his research is

to bridge the gap between theory and application

obtaining unobservable and sometimes

counter-intuitive but significantpractical

management insights via modeling and quantitative

analysis Currently he is particularly interested in

the quantitative and economic analysis of the

congestion problems in urbanmass transportation

networks healthmedical care systems and public

service systems with both customer service quality

and security concerns As an expert in data analysis

and quantitative modeling he has consulted in

industry and has given research seminars and short

lectures at leading universities around the world He

was invited to present plenary or keynote talks in

several international conferences Professor Zhang

is the one of Editor-in-Chiefs for new journal

Queueing Models and Service Management aan

associate editor of INFOR (Information Systems and

Operations Research) and is on the editorial board

of several international journals in Operations

Research and Management Science

Apr 26(Thu) 2018 1350-1435

Auditorium Room

ldquordquo

Prof George ZHANG

Western Washington University USA

Lenovo
Highlight

Keynote Speech ndashIII

Abstract of speech

The purpose of this paper is to investigate the

generalized age maintenance policies for a system

with random working times When the system fails

it is subject to one of two types of failures with

age-dependent probability type I failure can be

removed by minimal repair and type II failure must

be rectified by replacementA First the system is

preventively replaced before type II failure at time T

or at the completion of Nth working projects

whichever occurs first Two modified models where

the system is preventively replaced before type II

failure at time T or at the completion of Nth

working projects whichever occurs last and it is

preventively replaced at the first completion of the

working project over time T or at the completion of

Nth working projects whichever occurs first are

considered By introducing costs due to repairs

maintenance and replacement the expected cost

per unit time is derived as a criterion of optimality

and the optimal policy that minimizes that cost is

discussed analytically

Shey-Huei SHEU

BIO Professor Shey-Huei Sheu is a Chair Professor

of Department of Statistics and Informatics Science

at the Providence University He is an Honorary

Chair Professor of the Department of Industrial

Management at the National Taiwan University of

Science and Technology He received his MS

degree (1979) in applied mathematics from the

National Tsing Hua University and his PhD degree

(1987) in statistics from the University of Kentucky

He has published in journals such as Naval Research

Logistics Journal of Applied Probability RAIRO

Operations Research Microelectronics and

Reliability Reliability Engineering and System Safety

International Journal of Systems Science Quality

and Reliability Engineering International

International Journal of Reliability Quality and

Safety Engineering Journal of the Operational

Research Society European Journal of the

Operational Research Computers and Operation

Research Computers and Industrial Engineering

Quality Engineering Asia-Pacific Journal of the

Operational Research Communications in

Statistics-Theory and Methods Computers and

Mathematics with Applications Simulation

Modeling Practice and Theory Communications in

Statistics-Simulation and Computation Journal of

Statistical Computation and Simulation

International Journal of Production Economics

Quality Technology and Quantitative Management

The International Journal of Advanced

Manufacturing Technology Expert Systems

International Journal of Computer Mathematics

Journal of Applied Statistics Production Planning

and Control International Journal of Production

Research Applied Mathematical Modelling IEEE

Transactions on Reliability and Annals of

Operations Research

Apr 26(Thu) 2018 1435-1520

Auditorium Room

ldquoThe Generalized Age Maintenance Policies with

Random Working Timesrdquo

Prof Shey-Huei SHEU

Providence University Taiwan

Lenovo
Highlight

Keynote Speech ndashIV

Abstract of speech

IEEE 80211ah a specification belonging to 80211

wireless local area network (WLAN) protocol family

has been recently released to support the

long-range low-power and low-rate wireless

communication among smart devices used in

Internet of Thing (IoT) systems However security

requirements of the energy-constrained devices

have plenty of issues different from the traditional

wireless devices It requires that the lightweight

security protocols have to support low-power and

low-latency as well as the long-lasting features of

quantities of IoT devices The recently released IEEE

statndard IEEE 80211ai has specified a Fast Initial

Link Setup (FILS) which is a brand-new approach

aiming at establishing fast stable and secure links

among smart devices IEEE 80211ai could be applied

to other wireless systems such as the wireless

system of IEEE 80211ah with security

enhancements In this talk I would address the

secureity issues of IEEE 80211ai and IEEE 80211ah

with an new proposal to enhance the

authentication process in the link setup procedure

specified by IEEE 80211ai

Maode MA

BIO Dr Maode Ma is a Fellow of IET He received his

PhD degree in computer science from Hong Kong

University of Science and Technology in 1999 Now

Dr Ma is an Associate Professor in the School of

Electrical and Electronic Engineering at Nanyang

Technological University in Singapore He has

extensive research interests including network

security and wireless networking Dr Ma has about

350 international academic publications including

over 160 journal papers and about 190 conference

papers He has delivered over 50 keynote speeches

at various international conferences He has served

as various chairs for over 100 international

conferences He currently serves as the

Editor-in-Chief of International Journal of Computer

and Communication Engineering and International

Journal of Electronic Transport He also serves as a

Senior Editor or an Associate Editor for other 4

international academic journals Dr Ma is a Senior

Member of IEEE Communication Society and IEEE

Education Society and a Member of ACM He is the

Chair of the IEEE Education Society Singapore

Chapter and the Chair of the ACM Singapore

Chapter He has served as an IEEE Communication

Society Distinguished Lecturer from 2013-2016

Apr 26(Thu) 2018 1530-1615

Auditorium Room

ldquoEfficient and Secure Authentication Schemes for

IEEE 80211ah Networks rdquo

Prof Maode MA

Nanyang Technological University Singapore

Lenovo
Highlight

Keynote Speech ndashV

Abstract of speech

Stochastic aircraft routing (SAR) plays a critical role

in defining the routing plans of airlines which

include assigning the aircraft to flight legs and

determining the time and location of maintenance

to the aircraft Based on the routing plan specified

by the airlines the maintenance providers should

schedule their workforce to perform maintenance

operations by solving the maintenance staffing

problem (MSP) MSP helps maintenance providers

to build their staffing plans which include the

assignment of manpower to each aircraft so that

aircraft receive the required maintenance

operations as planned Practically for airlines the

routing plan will be interrupted (eg flight delays) if

an aircraft cannot be released from the

maintenance station punctually Similarly for

maintenance providers if an aircraft misses the

scheduled appointment at the maintenance station

this will also cause a huge interruption to their

staffing plan Therefore there is an interrelationship

between SAR and MSP In the literature the focus

of each problem has been traditionally considered

separately with only limited consideration of their

interrelationship In this paper we study SAR along

with MSP with the objective of investigating the

interrelationship between SAR and MSP For this

purpose we propose a coordinated configuration

of SAR and MSP that is formulated as a

leader-follower Stackelbery game in which SAR

acts as a leader and MSP acts as a follower This

game is enacted through a bi-level optimization

model which is solved by a bi-level nested ant

colony optimization (ACO) algorithm A case study

of a major airline and maintenance provider located

in the Middle East is presented to demonstrate the

feasibility and potential of the proposed model The

results demonstrate significant saving in the costs

of both companies

Felix TS CHAN

BIO Professor Felix T S Chan received his BSc

Degree in Mechanical Engineering from Brighton

Polytechnic (now University) UK and obtained his

MSc and PhD in Manufacturing Engineering from

the Imperial College of Science and Technology

University of London UK Professor Chan is now

working at the Department of Industrial and

Systems Engineering The Hong Kong Polytechnic

University and also serving as Associate Dean

(Research) at the Faculty of Engineering His current

research interests are Logistics and Supply Chain

Management Operations Management

Distribution Coordination Systems Modelling and

Simulation AI Optimisation To date he has

published 16 book chapters over 300 refereed

international journal papers and 250 peer reviewed

international conference papers h index= 30 under

the Web of Science He is a chartered member of

the Chartered Institute of Logistics and Transport in

Hong Kong According to a study lately published in

the International Journal of Production Research

(httpdxdoiorg1010800020754320151037935)

the study measured the research contributions over

a 26-year time frame (1985-2010) of academic

institutions and individual authors to the field of

Apr 26(Thu) 2018 1615-1700

Auditorium Room

ldquoInvestigating the Interrelationship between

Stochastic Aircraft Routing of Airlines and

Maintenance Staffing of Maintenance Providersrdquo

Prof Felix TS CHAN

The Hong Kong Polytechnic University Hong Kong

Lenovo
Highlight

Operations Management (OM) based on published

articles in 11 top-rated and well-known academic OM

journals Professor Chan was among the top 50

prolific authors list who have made the greatest

overall contribution to the field as measured by the

number of distributed and shared articles published

in the 11 designated journals Also Professor Chan

was Ranked No 3 in The top 100 authors as the

most productive researchers in the field of

Operations Management over the past 10 years

(2001-2010)

COMMITTEE

ICIEA 2018 Organizing Committee

International Advisory Committee

Zhe George Zhang Western Washington University USA

Conference Chairs

Felix T S Chan The Hong Kong Polytechnic University Hong Kong

Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan

Local Organizing Chair

TANG Loon Ching National University of Singapore Singapore

Organizing and Program Committees

Seoung Bum Kim School of Industrial Mangement Engineering Korea University

Usik Lee Inha University Korea

Maode Ma Nanyang Technological University Singapore

Finance Chair

Minghan Xi Dalian Maritime University China

International Technical Committees

Cheng-Feng HuNational Chiayi University Taiwan

Dong-Yuh YangNational Taipei University of Business Taiwan

Mario HirzGraz University of Technology Austria

Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt

Po-Hsiang Liu College of Business and Management in St Johns University USA

Taesu Cheong Korea University Korea

Tien-Lun Liu Chung Yuan Christian University Taiwan

Wei CaiWuhan University of Technology China

Jinguo Huang Huazhong University of Science and Technology China

Yu-Chung Tsao National Taiwan University of Science Technology Taiwan

Yip Mum WaiTunku Abdul Rahman University College Malaysia

Pule Kholopane University of Johannesburg South Africa

Bonivasius Prasetya Ichtiarto mercu buana university Indonesia

Elita Amrina Andalas University Indonesia

Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan

Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong

Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia

Lenovo
Highlight
Lenovo
Highlight
Lenovo
Highlight
Lenovo
Highlight

Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India

Byung Do Chung Yonsei University Korea

M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia

Sandeep Singhal National Institute of Technology India

J W Wang The University of Hong Kong Hong Kong

Ching-Chang Kuo National Taichung University of Science and Technology Taiwan

Kuo-Hsiung Wang Providence University Taiwan

ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia

Sangbok Lee Hansung University Korea

Adrian E Coronado Mondragon Royal Holloway University of London UK

Chin-I Lee Ling Tung University Taiwan

S H ChoiUniversity of Hong Kong Hong Kong

Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan

Wei Cai Wuhan University of Technology China

Hashibah Hamid Universiti Utara Malaysia Malaysia

TMA Ari Samadhi Bandung Institute of Technology Indonesia

Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia

Pi-Chun Hsu Chaoyang University of Technology Taiwan

Mu-Chen Chen National Chiao Tung University Taiwan

Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan

Tsu-Wei Yu Chaoyang University of Technology Taiwan

Lingyun Wei Beijing University of Posts and Telecommunications China

Hamdi Bashir University of sharjahUnited Arab Emirates

LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand

LIU Hai-peng Kunming University of Science and Technology China

Elfira Febriani Trisakti University Indonesia

Yu-Hsiang Hsiao National Taipei University Taiwan

Chien-Chih Wang Ming Chi University of Technology Taiwan

Atichart Harncharnchai Chiang Mai University Thailand

Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)

Switzerland

Bambang Suhardi Universitas Sebelas Maret Indonesia

Ssu Han Chen Ming Chi University of Technology Taiwan

Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia

Augustina Asih Rumanti Bandung Institute of Technology Indonesia

Maheshwar Dwivedy BML Munjal University India

Zhichuan Guan China university of petroleum (East China) China

Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia

Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia

Yenming J Chen National Kaohsiung University of Science and Technology Taiwan

Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia

TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand

Li Li Nanjing University of Science and Technology China

SERTIFIKAT

Page 27: Nilai Maksimal Prosiding - eprints.undip.ac.ideprints.undip.ac.id/70482/1/...of_GSCM_practice_peer_review_lengkap.pdf · discriminant function as Z= (0.238-IeM) + (0.602-GPU) + (1.161-CCO)

KEYNOTE AND INVITE SPEAKERS

Keynote Speech

Keynote Speech ndashI

Abstract of speech

Many products are designed to last longer than

the typical lifespan of human being Its thus a

challenge to validate the design life through

reliability tests even when testing is conducted

under much harsher environment Not only that

test duration is usually constrained but the

samples available for testing may also be costly

andor limited in quantity Statistically optimal

plans will allow for efficient use of testing

resources and yet derive the most information

from the test In this presentation we shall

discuss ideas related to designing test plans for

both constant stress and step stress ALT leading

to the statistical optimal plan for sequential ALT

While that of constant ALT is basically a Bayesian

approach that for the step stress ALT requires

solving a dynamic program using backward

induction For the latter optimal solutions are

only available for exponential lifetime and there

are rooms for further research

Loon Ching TANG

BIO Dr Loon Ching TANG is currently the Director of

Temasek Defence Systems Institute and Professor of

Department of Industrial Systems Engineering and

Management at the National University of Singapore

He obtained his PhD degree from Cornell University in

the field of Operations Research in 1992 and has

published extensively in areas related to industrial

engineering and operations research He has been

presented with a number of best paper awards

including the IIE Transactions 2010 Best Application

Paper Award and 2012 RA EvansPK McElroy Award

for the best paper at Annual RAMS Prof Tang is the

main author of the award-winning book Six Sigma

Advanced Tools for Black Belts and Master Black Belts

Besides being active in the forefront of academic

research in the last 25 years Prof Tang has served as

consultant for many organizations such as the

Ministry of Home Affair Singapore Power Republic of

Singapore Air Force Seagate HP Phillips etc on a

wide range of projects aiming at improving

organizational and operations efficiency especially

through better management of engineering assets He

is currently a fellow of ISEAM the Editor of Quality amp

Reliability Engineering International and an editorial

review board member of the flagship journal of ASQ

Journal of Quality Technology (since 2006) He has

served as the Region VP (Asia) of IIE (2013-16) and a

member of the advisory board of the Singapore

Innovation and Productivity Institute

Apr 26(Thu) 2018 1305-1350

Auditorium Room

ldquoPlanning Sequential Accelerated Life Testingrdquo

Prof Loon Ching TANG

National University of Singapore Singapore

Lenovo
Highlight

Keynote Speech ndashII

George ZHANG

BIO Professor Zhe George Zhang is a professor of

Management Science in the Department of Decision

Sciences at Western Washington University and a

professor of Operations Management in Beedie

School of Business at Simon Fraser University He is

also visiting professor of Sauder School of Business

at the University of British Columbia Dr Zhang

received his BS in Computer Science and MA in

Economics from Nankai University China his MBA

from the Schulich School of Business at York

University and his PhD in Operations research from

the University of Waterloo Professor Zhang has

published many papers in prestigious journals such

as Management Science Operations Research

Manufacturing amp Service Operations Management

Production and Operations Management IIE

Transactions IEEE Transactions Queueing Systems

Journal of Applied Probability Co-authored with

Professor Tian in 2006 he published the research

monograph Vacation Queueing Models - Theory

and Applications the first book on this particular

topic (now highly cited) Professor Zhangs research

interests include queueing theory and applications

and stochastic models for manufacturing and

service systems The main theme of his research is

to bridge the gap between theory and application

obtaining unobservable and sometimes

counter-intuitive but significantpractical

management insights via modeling and quantitative

analysis Currently he is particularly interested in

the quantitative and economic analysis of the

congestion problems in urbanmass transportation

networks healthmedical care systems and public

service systems with both customer service quality

and security concerns As an expert in data analysis

and quantitative modeling he has consulted in

industry and has given research seminars and short

lectures at leading universities around the world He

was invited to present plenary or keynote talks in

several international conferences Professor Zhang

is the one of Editor-in-Chiefs for new journal

Queueing Models and Service Management aan

associate editor of INFOR (Information Systems and

Operations Research) and is on the editorial board

of several international journals in Operations

Research and Management Science

Apr 26(Thu) 2018 1350-1435

Auditorium Room

ldquordquo

Prof George ZHANG

Western Washington University USA

Lenovo
Highlight

Keynote Speech ndashIII

Abstract of speech

The purpose of this paper is to investigate the

generalized age maintenance policies for a system

with random working times When the system fails

it is subject to one of two types of failures with

age-dependent probability type I failure can be

removed by minimal repair and type II failure must

be rectified by replacementA First the system is

preventively replaced before type II failure at time T

or at the completion of Nth working projects

whichever occurs first Two modified models where

the system is preventively replaced before type II

failure at time T or at the completion of Nth

working projects whichever occurs last and it is

preventively replaced at the first completion of the

working project over time T or at the completion of

Nth working projects whichever occurs first are

considered By introducing costs due to repairs

maintenance and replacement the expected cost

per unit time is derived as a criterion of optimality

and the optimal policy that minimizes that cost is

discussed analytically

Shey-Huei SHEU

BIO Professor Shey-Huei Sheu is a Chair Professor

of Department of Statistics and Informatics Science

at the Providence University He is an Honorary

Chair Professor of the Department of Industrial

Management at the National Taiwan University of

Science and Technology He received his MS

degree (1979) in applied mathematics from the

National Tsing Hua University and his PhD degree

(1987) in statistics from the University of Kentucky

He has published in journals such as Naval Research

Logistics Journal of Applied Probability RAIRO

Operations Research Microelectronics and

Reliability Reliability Engineering and System Safety

International Journal of Systems Science Quality

and Reliability Engineering International

International Journal of Reliability Quality and

Safety Engineering Journal of the Operational

Research Society European Journal of the

Operational Research Computers and Operation

Research Computers and Industrial Engineering

Quality Engineering Asia-Pacific Journal of the

Operational Research Communications in

Statistics-Theory and Methods Computers and

Mathematics with Applications Simulation

Modeling Practice and Theory Communications in

Statistics-Simulation and Computation Journal of

Statistical Computation and Simulation

International Journal of Production Economics

Quality Technology and Quantitative Management

The International Journal of Advanced

Manufacturing Technology Expert Systems

International Journal of Computer Mathematics

Journal of Applied Statistics Production Planning

and Control International Journal of Production

Research Applied Mathematical Modelling IEEE

Transactions on Reliability and Annals of

Operations Research

Apr 26(Thu) 2018 1435-1520

Auditorium Room

ldquoThe Generalized Age Maintenance Policies with

Random Working Timesrdquo

Prof Shey-Huei SHEU

Providence University Taiwan

Lenovo
Highlight

Keynote Speech ndashIV

Abstract of speech

IEEE 80211ah a specification belonging to 80211

wireless local area network (WLAN) protocol family

has been recently released to support the

long-range low-power and low-rate wireless

communication among smart devices used in

Internet of Thing (IoT) systems However security

requirements of the energy-constrained devices

have plenty of issues different from the traditional

wireless devices It requires that the lightweight

security protocols have to support low-power and

low-latency as well as the long-lasting features of

quantities of IoT devices The recently released IEEE

statndard IEEE 80211ai has specified a Fast Initial

Link Setup (FILS) which is a brand-new approach

aiming at establishing fast stable and secure links

among smart devices IEEE 80211ai could be applied

to other wireless systems such as the wireless

system of IEEE 80211ah with security

enhancements In this talk I would address the

secureity issues of IEEE 80211ai and IEEE 80211ah

with an new proposal to enhance the

authentication process in the link setup procedure

specified by IEEE 80211ai

Maode MA

BIO Dr Maode Ma is a Fellow of IET He received his

PhD degree in computer science from Hong Kong

University of Science and Technology in 1999 Now

Dr Ma is an Associate Professor in the School of

Electrical and Electronic Engineering at Nanyang

Technological University in Singapore He has

extensive research interests including network

security and wireless networking Dr Ma has about

350 international academic publications including

over 160 journal papers and about 190 conference

papers He has delivered over 50 keynote speeches

at various international conferences He has served

as various chairs for over 100 international

conferences He currently serves as the

Editor-in-Chief of International Journal of Computer

and Communication Engineering and International

Journal of Electronic Transport He also serves as a

Senior Editor or an Associate Editor for other 4

international academic journals Dr Ma is a Senior

Member of IEEE Communication Society and IEEE

Education Society and a Member of ACM He is the

Chair of the IEEE Education Society Singapore

Chapter and the Chair of the ACM Singapore

Chapter He has served as an IEEE Communication

Society Distinguished Lecturer from 2013-2016

Apr 26(Thu) 2018 1530-1615

Auditorium Room

ldquoEfficient and Secure Authentication Schemes for

IEEE 80211ah Networks rdquo

Prof Maode MA

Nanyang Technological University Singapore

Lenovo
Highlight

Keynote Speech ndashV

Abstract of speech

Stochastic aircraft routing (SAR) plays a critical role

in defining the routing plans of airlines which

include assigning the aircraft to flight legs and

determining the time and location of maintenance

to the aircraft Based on the routing plan specified

by the airlines the maintenance providers should

schedule their workforce to perform maintenance

operations by solving the maintenance staffing

problem (MSP) MSP helps maintenance providers

to build their staffing plans which include the

assignment of manpower to each aircraft so that

aircraft receive the required maintenance

operations as planned Practically for airlines the

routing plan will be interrupted (eg flight delays) if

an aircraft cannot be released from the

maintenance station punctually Similarly for

maintenance providers if an aircraft misses the

scheduled appointment at the maintenance station

this will also cause a huge interruption to their

staffing plan Therefore there is an interrelationship

between SAR and MSP In the literature the focus

of each problem has been traditionally considered

separately with only limited consideration of their

interrelationship In this paper we study SAR along

with MSP with the objective of investigating the

interrelationship between SAR and MSP For this

purpose we propose a coordinated configuration

of SAR and MSP that is formulated as a

leader-follower Stackelbery game in which SAR

acts as a leader and MSP acts as a follower This

game is enacted through a bi-level optimization

model which is solved by a bi-level nested ant

colony optimization (ACO) algorithm A case study

of a major airline and maintenance provider located

in the Middle East is presented to demonstrate the

feasibility and potential of the proposed model The

results demonstrate significant saving in the costs

of both companies

Felix TS CHAN

BIO Professor Felix T S Chan received his BSc

Degree in Mechanical Engineering from Brighton

Polytechnic (now University) UK and obtained his

MSc and PhD in Manufacturing Engineering from

the Imperial College of Science and Technology

University of London UK Professor Chan is now

working at the Department of Industrial and

Systems Engineering The Hong Kong Polytechnic

University and also serving as Associate Dean

(Research) at the Faculty of Engineering His current

research interests are Logistics and Supply Chain

Management Operations Management

Distribution Coordination Systems Modelling and

Simulation AI Optimisation To date he has

published 16 book chapters over 300 refereed

international journal papers and 250 peer reviewed

international conference papers h index= 30 under

the Web of Science He is a chartered member of

the Chartered Institute of Logistics and Transport in

Hong Kong According to a study lately published in

the International Journal of Production Research

(httpdxdoiorg1010800020754320151037935)

the study measured the research contributions over

a 26-year time frame (1985-2010) of academic

institutions and individual authors to the field of

Apr 26(Thu) 2018 1615-1700

Auditorium Room

ldquoInvestigating the Interrelationship between

Stochastic Aircraft Routing of Airlines and

Maintenance Staffing of Maintenance Providersrdquo

Prof Felix TS CHAN

The Hong Kong Polytechnic University Hong Kong

Lenovo
Highlight

Operations Management (OM) based on published

articles in 11 top-rated and well-known academic OM

journals Professor Chan was among the top 50

prolific authors list who have made the greatest

overall contribution to the field as measured by the

number of distributed and shared articles published

in the 11 designated journals Also Professor Chan

was Ranked No 3 in The top 100 authors as the

most productive researchers in the field of

Operations Management over the past 10 years

(2001-2010)

COMMITTEE

ICIEA 2018 Organizing Committee

International Advisory Committee

Zhe George Zhang Western Washington University USA

Conference Chairs

Felix T S Chan The Hong Kong Polytechnic University Hong Kong

Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan

Local Organizing Chair

TANG Loon Ching National University of Singapore Singapore

Organizing and Program Committees

Seoung Bum Kim School of Industrial Mangement Engineering Korea University

Usik Lee Inha University Korea

Maode Ma Nanyang Technological University Singapore

Finance Chair

Minghan Xi Dalian Maritime University China

International Technical Committees

Cheng-Feng HuNational Chiayi University Taiwan

Dong-Yuh YangNational Taipei University of Business Taiwan

Mario HirzGraz University of Technology Austria

Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt

Po-Hsiang Liu College of Business and Management in St Johns University USA

Taesu Cheong Korea University Korea

Tien-Lun Liu Chung Yuan Christian University Taiwan

Wei CaiWuhan University of Technology China

Jinguo Huang Huazhong University of Science and Technology China

Yu-Chung Tsao National Taiwan University of Science Technology Taiwan

Yip Mum WaiTunku Abdul Rahman University College Malaysia

Pule Kholopane University of Johannesburg South Africa

Bonivasius Prasetya Ichtiarto mercu buana university Indonesia

Elita Amrina Andalas University Indonesia

Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan

Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong

Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia

Lenovo
Highlight
Lenovo
Highlight
Lenovo
Highlight
Lenovo
Highlight

Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India

Byung Do Chung Yonsei University Korea

M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia

Sandeep Singhal National Institute of Technology India

J W Wang The University of Hong Kong Hong Kong

Ching-Chang Kuo National Taichung University of Science and Technology Taiwan

Kuo-Hsiung Wang Providence University Taiwan

ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia

Sangbok Lee Hansung University Korea

Adrian E Coronado Mondragon Royal Holloway University of London UK

Chin-I Lee Ling Tung University Taiwan

S H ChoiUniversity of Hong Kong Hong Kong

Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan

Wei Cai Wuhan University of Technology China

Hashibah Hamid Universiti Utara Malaysia Malaysia

TMA Ari Samadhi Bandung Institute of Technology Indonesia

Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia

Pi-Chun Hsu Chaoyang University of Technology Taiwan

Mu-Chen Chen National Chiao Tung University Taiwan

Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan

Tsu-Wei Yu Chaoyang University of Technology Taiwan

Lingyun Wei Beijing University of Posts and Telecommunications China

Hamdi Bashir University of sharjahUnited Arab Emirates

LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand

LIU Hai-peng Kunming University of Science and Technology China

Elfira Febriani Trisakti University Indonesia

Yu-Hsiang Hsiao National Taipei University Taiwan

Chien-Chih Wang Ming Chi University of Technology Taiwan

Atichart Harncharnchai Chiang Mai University Thailand

Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)

Switzerland

Bambang Suhardi Universitas Sebelas Maret Indonesia

Ssu Han Chen Ming Chi University of Technology Taiwan

Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia

Augustina Asih Rumanti Bandung Institute of Technology Indonesia

Maheshwar Dwivedy BML Munjal University India

Zhichuan Guan China university of petroleum (East China) China

Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia

Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia

Yenming J Chen National Kaohsiung University of Science and Technology Taiwan

Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia

TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand

Li Li Nanjing University of Science and Technology China

SERTIFIKAT

Page 28: Nilai Maksimal Prosiding - eprints.undip.ac.ideprints.undip.ac.id/70482/1/...of_GSCM_practice_peer_review_lengkap.pdf · discriminant function as Z= (0.238-IeM) + (0.602-GPU) + (1.161-CCO)

Keynote Speech

Keynote Speech ndashI

Abstract of speech

Many products are designed to last longer than

the typical lifespan of human being Its thus a

challenge to validate the design life through

reliability tests even when testing is conducted

under much harsher environment Not only that

test duration is usually constrained but the

samples available for testing may also be costly

andor limited in quantity Statistically optimal

plans will allow for efficient use of testing

resources and yet derive the most information

from the test In this presentation we shall

discuss ideas related to designing test plans for

both constant stress and step stress ALT leading

to the statistical optimal plan for sequential ALT

While that of constant ALT is basically a Bayesian

approach that for the step stress ALT requires

solving a dynamic program using backward

induction For the latter optimal solutions are

only available for exponential lifetime and there

are rooms for further research

Loon Ching TANG

BIO Dr Loon Ching TANG is currently the Director of

Temasek Defence Systems Institute and Professor of

Department of Industrial Systems Engineering and

Management at the National University of Singapore

He obtained his PhD degree from Cornell University in

the field of Operations Research in 1992 and has

published extensively in areas related to industrial

engineering and operations research He has been

presented with a number of best paper awards

including the IIE Transactions 2010 Best Application

Paper Award and 2012 RA EvansPK McElroy Award

for the best paper at Annual RAMS Prof Tang is the

main author of the award-winning book Six Sigma

Advanced Tools for Black Belts and Master Black Belts

Besides being active in the forefront of academic

research in the last 25 years Prof Tang has served as

consultant for many organizations such as the

Ministry of Home Affair Singapore Power Republic of

Singapore Air Force Seagate HP Phillips etc on a

wide range of projects aiming at improving

organizational and operations efficiency especially

through better management of engineering assets He

is currently a fellow of ISEAM the Editor of Quality amp

Reliability Engineering International and an editorial

review board member of the flagship journal of ASQ

Journal of Quality Technology (since 2006) He has

served as the Region VP (Asia) of IIE (2013-16) and a

member of the advisory board of the Singapore

Innovation and Productivity Institute

Apr 26(Thu) 2018 1305-1350

Auditorium Room

ldquoPlanning Sequential Accelerated Life Testingrdquo

Prof Loon Ching TANG

National University of Singapore Singapore

Lenovo
Highlight

Keynote Speech ndashII

George ZHANG

BIO Professor Zhe George Zhang is a professor of

Management Science in the Department of Decision

Sciences at Western Washington University and a

professor of Operations Management in Beedie

School of Business at Simon Fraser University He is

also visiting professor of Sauder School of Business

at the University of British Columbia Dr Zhang

received his BS in Computer Science and MA in

Economics from Nankai University China his MBA

from the Schulich School of Business at York

University and his PhD in Operations research from

the University of Waterloo Professor Zhang has

published many papers in prestigious journals such

as Management Science Operations Research

Manufacturing amp Service Operations Management

Production and Operations Management IIE

Transactions IEEE Transactions Queueing Systems

Journal of Applied Probability Co-authored with

Professor Tian in 2006 he published the research

monograph Vacation Queueing Models - Theory

and Applications the first book on this particular

topic (now highly cited) Professor Zhangs research

interests include queueing theory and applications

and stochastic models for manufacturing and

service systems The main theme of his research is

to bridge the gap between theory and application

obtaining unobservable and sometimes

counter-intuitive but significantpractical

management insights via modeling and quantitative

analysis Currently he is particularly interested in

the quantitative and economic analysis of the

congestion problems in urbanmass transportation

networks healthmedical care systems and public

service systems with both customer service quality

and security concerns As an expert in data analysis

and quantitative modeling he has consulted in

industry and has given research seminars and short

lectures at leading universities around the world He

was invited to present plenary or keynote talks in

several international conferences Professor Zhang

is the one of Editor-in-Chiefs for new journal

Queueing Models and Service Management aan

associate editor of INFOR (Information Systems and

Operations Research) and is on the editorial board

of several international journals in Operations

Research and Management Science

Apr 26(Thu) 2018 1350-1435

Auditorium Room

ldquordquo

Prof George ZHANG

Western Washington University USA

Lenovo
Highlight

Keynote Speech ndashIII

Abstract of speech

The purpose of this paper is to investigate the

generalized age maintenance policies for a system

with random working times When the system fails

it is subject to one of two types of failures with

age-dependent probability type I failure can be

removed by minimal repair and type II failure must

be rectified by replacementA First the system is

preventively replaced before type II failure at time T

or at the completion of Nth working projects

whichever occurs first Two modified models where

the system is preventively replaced before type II

failure at time T or at the completion of Nth

working projects whichever occurs last and it is

preventively replaced at the first completion of the

working project over time T or at the completion of

Nth working projects whichever occurs first are

considered By introducing costs due to repairs

maintenance and replacement the expected cost

per unit time is derived as a criterion of optimality

and the optimal policy that minimizes that cost is

discussed analytically

Shey-Huei SHEU

BIO Professor Shey-Huei Sheu is a Chair Professor

of Department of Statistics and Informatics Science

at the Providence University He is an Honorary

Chair Professor of the Department of Industrial

Management at the National Taiwan University of

Science and Technology He received his MS

degree (1979) in applied mathematics from the

National Tsing Hua University and his PhD degree

(1987) in statistics from the University of Kentucky

He has published in journals such as Naval Research

Logistics Journal of Applied Probability RAIRO

Operations Research Microelectronics and

Reliability Reliability Engineering and System Safety

International Journal of Systems Science Quality

and Reliability Engineering International

International Journal of Reliability Quality and

Safety Engineering Journal of the Operational

Research Society European Journal of the

Operational Research Computers and Operation

Research Computers and Industrial Engineering

Quality Engineering Asia-Pacific Journal of the

Operational Research Communications in

Statistics-Theory and Methods Computers and

Mathematics with Applications Simulation

Modeling Practice and Theory Communications in

Statistics-Simulation and Computation Journal of

Statistical Computation and Simulation

International Journal of Production Economics

Quality Technology and Quantitative Management

The International Journal of Advanced

Manufacturing Technology Expert Systems

International Journal of Computer Mathematics

Journal of Applied Statistics Production Planning

and Control International Journal of Production

Research Applied Mathematical Modelling IEEE

Transactions on Reliability and Annals of

Operations Research

Apr 26(Thu) 2018 1435-1520

Auditorium Room

ldquoThe Generalized Age Maintenance Policies with

Random Working Timesrdquo

Prof Shey-Huei SHEU

Providence University Taiwan

Lenovo
Highlight

Keynote Speech ndashIV

Abstract of speech

IEEE 80211ah a specification belonging to 80211

wireless local area network (WLAN) protocol family

has been recently released to support the

long-range low-power and low-rate wireless

communication among smart devices used in

Internet of Thing (IoT) systems However security

requirements of the energy-constrained devices

have plenty of issues different from the traditional

wireless devices It requires that the lightweight

security protocols have to support low-power and

low-latency as well as the long-lasting features of

quantities of IoT devices The recently released IEEE

statndard IEEE 80211ai has specified a Fast Initial

Link Setup (FILS) which is a brand-new approach

aiming at establishing fast stable and secure links

among smart devices IEEE 80211ai could be applied

to other wireless systems such as the wireless

system of IEEE 80211ah with security

enhancements In this talk I would address the

secureity issues of IEEE 80211ai and IEEE 80211ah

with an new proposal to enhance the

authentication process in the link setup procedure

specified by IEEE 80211ai

Maode MA

BIO Dr Maode Ma is a Fellow of IET He received his

PhD degree in computer science from Hong Kong

University of Science and Technology in 1999 Now

Dr Ma is an Associate Professor in the School of

Electrical and Electronic Engineering at Nanyang

Technological University in Singapore He has

extensive research interests including network

security and wireless networking Dr Ma has about

350 international academic publications including

over 160 journal papers and about 190 conference

papers He has delivered over 50 keynote speeches

at various international conferences He has served

as various chairs for over 100 international

conferences He currently serves as the

Editor-in-Chief of International Journal of Computer

and Communication Engineering and International

Journal of Electronic Transport He also serves as a

Senior Editor or an Associate Editor for other 4

international academic journals Dr Ma is a Senior

Member of IEEE Communication Society and IEEE

Education Society and a Member of ACM He is the

Chair of the IEEE Education Society Singapore

Chapter and the Chair of the ACM Singapore

Chapter He has served as an IEEE Communication

Society Distinguished Lecturer from 2013-2016

Apr 26(Thu) 2018 1530-1615

Auditorium Room

ldquoEfficient and Secure Authentication Schemes for

IEEE 80211ah Networks rdquo

Prof Maode MA

Nanyang Technological University Singapore

Lenovo
Highlight

Keynote Speech ndashV

Abstract of speech

Stochastic aircraft routing (SAR) plays a critical role

in defining the routing plans of airlines which

include assigning the aircraft to flight legs and

determining the time and location of maintenance

to the aircraft Based on the routing plan specified

by the airlines the maintenance providers should

schedule their workforce to perform maintenance

operations by solving the maintenance staffing

problem (MSP) MSP helps maintenance providers

to build their staffing plans which include the

assignment of manpower to each aircraft so that

aircraft receive the required maintenance

operations as planned Practically for airlines the

routing plan will be interrupted (eg flight delays) if

an aircraft cannot be released from the

maintenance station punctually Similarly for

maintenance providers if an aircraft misses the

scheduled appointment at the maintenance station

this will also cause a huge interruption to their

staffing plan Therefore there is an interrelationship

between SAR and MSP In the literature the focus

of each problem has been traditionally considered

separately with only limited consideration of their

interrelationship In this paper we study SAR along

with MSP with the objective of investigating the

interrelationship between SAR and MSP For this

purpose we propose a coordinated configuration

of SAR and MSP that is formulated as a

leader-follower Stackelbery game in which SAR

acts as a leader and MSP acts as a follower This

game is enacted through a bi-level optimization

model which is solved by a bi-level nested ant

colony optimization (ACO) algorithm A case study

of a major airline and maintenance provider located

in the Middle East is presented to demonstrate the

feasibility and potential of the proposed model The

results demonstrate significant saving in the costs

of both companies

Felix TS CHAN

BIO Professor Felix T S Chan received his BSc

Degree in Mechanical Engineering from Brighton

Polytechnic (now University) UK and obtained his

MSc and PhD in Manufacturing Engineering from

the Imperial College of Science and Technology

University of London UK Professor Chan is now

working at the Department of Industrial and

Systems Engineering The Hong Kong Polytechnic

University and also serving as Associate Dean

(Research) at the Faculty of Engineering His current

research interests are Logistics and Supply Chain

Management Operations Management

Distribution Coordination Systems Modelling and

Simulation AI Optimisation To date he has

published 16 book chapters over 300 refereed

international journal papers and 250 peer reviewed

international conference papers h index= 30 under

the Web of Science He is a chartered member of

the Chartered Institute of Logistics and Transport in

Hong Kong According to a study lately published in

the International Journal of Production Research

(httpdxdoiorg1010800020754320151037935)

the study measured the research contributions over

a 26-year time frame (1985-2010) of academic

institutions and individual authors to the field of

Apr 26(Thu) 2018 1615-1700

Auditorium Room

ldquoInvestigating the Interrelationship between

Stochastic Aircraft Routing of Airlines and

Maintenance Staffing of Maintenance Providersrdquo

Prof Felix TS CHAN

The Hong Kong Polytechnic University Hong Kong

Lenovo
Highlight

Operations Management (OM) based on published

articles in 11 top-rated and well-known academic OM

journals Professor Chan was among the top 50

prolific authors list who have made the greatest

overall contribution to the field as measured by the

number of distributed and shared articles published

in the 11 designated journals Also Professor Chan

was Ranked No 3 in The top 100 authors as the

most productive researchers in the field of

Operations Management over the past 10 years

(2001-2010)

COMMITTEE

ICIEA 2018 Organizing Committee

International Advisory Committee

Zhe George Zhang Western Washington University USA

Conference Chairs

Felix T S Chan The Hong Kong Polytechnic University Hong Kong

Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan

Local Organizing Chair

TANG Loon Ching National University of Singapore Singapore

Organizing and Program Committees

Seoung Bum Kim School of Industrial Mangement Engineering Korea University

Usik Lee Inha University Korea

Maode Ma Nanyang Technological University Singapore

Finance Chair

Minghan Xi Dalian Maritime University China

International Technical Committees

Cheng-Feng HuNational Chiayi University Taiwan

Dong-Yuh YangNational Taipei University of Business Taiwan

Mario HirzGraz University of Technology Austria

Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt

Po-Hsiang Liu College of Business and Management in St Johns University USA

Taesu Cheong Korea University Korea

Tien-Lun Liu Chung Yuan Christian University Taiwan

Wei CaiWuhan University of Technology China

Jinguo Huang Huazhong University of Science and Technology China

Yu-Chung Tsao National Taiwan University of Science Technology Taiwan

Yip Mum WaiTunku Abdul Rahman University College Malaysia

Pule Kholopane University of Johannesburg South Africa

Bonivasius Prasetya Ichtiarto mercu buana university Indonesia

Elita Amrina Andalas University Indonesia

Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan

Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong

Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia

Lenovo
Highlight
Lenovo
Highlight
Lenovo
Highlight
Lenovo
Highlight

Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India

Byung Do Chung Yonsei University Korea

M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia

Sandeep Singhal National Institute of Technology India

J W Wang The University of Hong Kong Hong Kong

Ching-Chang Kuo National Taichung University of Science and Technology Taiwan

Kuo-Hsiung Wang Providence University Taiwan

ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia

Sangbok Lee Hansung University Korea

Adrian E Coronado Mondragon Royal Holloway University of London UK

Chin-I Lee Ling Tung University Taiwan

S H ChoiUniversity of Hong Kong Hong Kong

Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan

Wei Cai Wuhan University of Technology China

Hashibah Hamid Universiti Utara Malaysia Malaysia

TMA Ari Samadhi Bandung Institute of Technology Indonesia

Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia

Pi-Chun Hsu Chaoyang University of Technology Taiwan

Mu-Chen Chen National Chiao Tung University Taiwan

Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan

Tsu-Wei Yu Chaoyang University of Technology Taiwan

Lingyun Wei Beijing University of Posts and Telecommunications China

Hamdi Bashir University of sharjahUnited Arab Emirates

LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand

LIU Hai-peng Kunming University of Science and Technology China

Elfira Febriani Trisakti University Indonesia

Yu-Hsiang Hsiao National Taipei University Taiwan

Chien-Chih Wang Ming Chi University of Technology Taiwan

Atichart Harncharnchai Chiang Mai University Thailand

Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)

Switzerland

Bambang Suhardi Universitas Sebelas Maret Indonesia

Ssu Han Chen Ming Chi University of Technology Taiwan

Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia

Augustina Asih Rumanti Bandung Institute of Technology Indonesia

Maheshwar Dwivedy BML Munjal University India

Zhichuan Guan China university of petroleum (East China) China

Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia

Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia

Yenming J Chen National Kaohsiung University of Science and Technology Taiwan

Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia

TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand

Li Li Nanjing University of Science and Technology China

SERTIFIKAT

Page 29: Nilai Maksimal Prosiding - eprints.undip.ac.ideprints.undip.ac.id/70482/1/...of_GSCM_practice_peer_review_lengkap.pdf · discriminant function as Z= (0.238-IeM) + (0.602-GPU) + (1.161-CCO)

Keynote Speech ndashII

George ZHANG

BIO Professor Zhe George Zhang is a professor of

Management Science in the Department of Decision

Sciences at Western Washington University and a

professor of Operations Management in Beedie

School of Business at Simon Fraser University He is

also visiting professor of Sauder School of Business

at the University of British Columbia Dr Zhang

received his BS in Computer Science and MA in

Economics from Nankai University China his MBA

from the Schulich School of Business at York

University and his PhD in Operations research from

the University of Waterloo Professor Zhang has

published many papers in prestigious journals such

as Management Science Operations Research

Manufacturing amp Service Operations Management

Production and Operations Management IIE

Transactions IEEE Transactions Queueing Systems

Journal of Applied Probability Co-authored with

Professor Tian in 2006 he published the research

monograph Vacation Queueing Models - Theory

and Applications the first book on this particular

topic (now highly cited) Professor Zhangs research

interests include queueing theory and applications

and stochastic models for manufacturing and

service systems The main theme of his research is

to bridge the gap between theory and application

obtaining unobservable and sometimes

counter-intuitive but significantpractical

management insights via modeling and quantitative

analysis Currently he is particularly interested in

the quantitative and economic analysis of the

congestion problems in urbanmass transportation

networks healthmedical care systems and public

service systems with both customer service quality

and security concerns As an expert in data analysis

and quantitative modeling he has consulted in

industry and has given research seminars and short

lectures at leading universities around the world He

was invited to present plenary or keynote talks in

several international conferences Professor Zhang

is the one of Editor-in-Chiefs for new journal

Queueing Models and Service Management aan

associate editor of INFOR (Information Systems and

Operations Research) and is on the editorial board

of several international journals in Operations

Research and Management Science

Apr 26(Thu) 2018 1350-1435

Auditorium Room

ldquordquo

Prof George ZHANG

Western Washington University USA

Lenovo
Highlight

Keynote Speech ndashIII

Abstract of speech

The purpose of this paper is to investigate the

generalized age maintenance policies for a system

with random working times When the system fails

it is subject to one of two types of failures with

age-dependent probability type I failure can be

removed by minimal repair and type II failure must

be rectified by replacementA First the system is

preventively replaced before type II failure at time T

or at the completion of Nth working projects

whichever occurs first Two modified models where

the system is preventively replaced before type II

failure at time T or at the completion of Nth

working projects whichever occurs last and it is

preventively replaced at the first completion of the

working project over time T or at the completion of

Nth working projects whichever occurs first are

considered By introducing costs due to repairs

maintenance and replacement the expected cost

per unit time is derived as a criterion of optimality

and the optimal policy that minimizes that cost is

discussed analytically

Shey-Huei SHEU

BIO Professor Shey-Huei Sheu is a Chair Professor

of Department of Statistics and Informatics Science

at the Providence University He is an Honorary

Chair Professor of the Department of Industrial

Management at the National Taiwan University of

Science and Technology He received his MS

degree (1979) in applied mathematics from the

National Tsing Hua University and his PhD degree

(1987) in statistics from the University of Kentucky

He has published in journals such as Naval Research

Logistics Journal of Applied Probability RAIRO

Operations Research Microelectronics and

Reliability Reliability Engineering and System Safety

International Journal of Systems Science Quality

and Reliability Engineering International

International Journal of Reliability Quality and

Safety Engineering Journal of the Operational

Research Society European Journal of the

Operational Research Computers and Operation

Research Computers and Industrial Engineering

Quality Engineering Asia-Pacific Journal of the

Operational Research Communications in

Statistics-Theory and Methods Computers and

Mathematics with Applications Simulation

Modeling Practice and Theory Communications in

Statistics-Simulation and Computation Journal of

Statistical Computation and Simulation

International Journal of Production Economics

Quality Technology and Quantitative Management

The International Journal of Advanced

Manufacturing Technology Expert Systems

International Journal of Computer Mathematics

Journal of Applied Statistics Production Planning

and Control International Journal of Production

Research Applied Mathematical Modelling IEEE

Transactions on Reliability and Annals of

Operations Research

Apr 26(Thu) 2018 1435-1520

Auditorium Room

ldquoThe Generalized Age Maintenance Policies with

Random Working Timesrdquo

Prof Shey-Huei SHEU

Providence University Taiwan

Lenovo
Highlight

Keynote Speech ndashIV

Abstract of speech

IEEE 80211ah a specification belonging to 80211

wireless local area network (WLAN) protocol family

has been recently released to support the

long-range low-power and low-rate wireless

communication among smart devices used in

Internet of Thing (IoT) systems However security

requirements of the energy-constrained devices

have plenty of issues different from the traditional

wireless devices It requires that the lightweight

security protocols have to support low-power and

low-latency as well as the long-lasting features of

quantities of IoT devices The recently released IEEE

statndard IEEE 80211ai has specified a Fast Initial

Link Setup (FILS) which is a brand-new approach

aiming at establishing fast stable and secure links

among smart devices IEEE 80211ai could be applied

to other wireless systems such as the wireless

system of IEEE 80211ah with security

enhancements In this talk I would address the

secureity issues of IEEE 80211ai and IEEE 80211ah

with an new proposal to enhance the

authentication process in the link setup procedure

specified by IEEE 80211ai

Maode MA

BIO Dr Maode Ma is a Fellow of IET He received his

PhD degree in computer science from Hong Kong

University of Science and Technology in 1999 Now

Dr Ma is an Associate Professor in the School of

Electrical and Electronic Engineering at Nanyang

Technological University in Singapore He has

extensive research interests including network

security and wireless networking Dr Ma has about

350 international academic publications including

over 160 journal papers and about 190 conference

papers He has delivered over 50 keynote speeches

at various international conferences He has served

as various chairs for over 100 international

conferences He currently serves as the

Editor-in-Chief of International Journal of Computer

and Communication Engineering and International

Journal of Electronic Transport He also serves as a

Senior Editor or an Associate Editor for other 4

international academic journals Dr Ma is a Senior

Member of IEEE Communication Society and IEEE

Education Society and a Member of ACM He is the

Chair of the IEEE Education Society Singapore

Chapter and the Chair of the ACM Singapore

Chapter He has served as an IEEE Communication

Society Distinguished Lecturer from 2013-2016

Apr 26(Thu) 2018 1530-1615

Auditorium Room

ldquoEfficient and Secure Authentication Schemes for

IEEE 80211ah Networks rdquo

Prof Maode MA

Nanyang Technological University Singapore

Lenovo
Highlight

Keynote Speech ndashV

Abstract of speech

Stochastic aircraft routing (SAR) plays a critical role

in defining the routing plans of airlines which

include assigning the aircraft to flight legs and

determining the time and location of maintenance

to the aircraft Based on the routing plan specified

by the airlines the maintenance providers should

schedule their workforce to perform maintenance

operations by solving the maintenance staffing

problem (MSP) MSP helps maintenance providers

to build their staffing plans which include the

assignment of manpower to each aircraft so that

aircraft receive the required maintenance

operations as planned Practically for airlines the

routing plan will be interrupted (eg flight delays) if

an aircraft cannot be released from the

maintenance station punctually Similarly for

maintenance providers if an aircraft misses the

scheduled appointment at the maintenance station

this will also cause a huge interruption to their

staffing plan Therefore there is an interrelationship

between SAR and MSP In the literature the focus

of each problem has been traditionally considered

separately with only limited consideration of their

interrelationship In this paper we study SAR along

with MSP with the objective of investigating the

interrelationship between SAR and MSP For this

purpose we propose a coordinated configuration

of SAR and MSP that is formulated as a

leader-follower Stackelbery game in which SAR

acts as a leader and MSP acts as a follower This

game is enacted through a bi-level optimization

model which is solved by a bi-level nested ant

colony optimization (ACO) algorithm A case study

of a major airline and maintenance provider located

in the Middle East is presented to demonstrate the

feasibility and potential of the proposed model The

results demonstrate significant saving in the costs

of both companies

Felix TS CHAN

BIO Professor Felix T S Chan received his BSc

Degree in Mechanical Engineering from Brighton

Polytechnic (now University) UK and obtained his

MSc and PhD in Manufacturing Engineering from

the Imperial College of Science and Technology

University of London UK Professor Chan is now

working at the Department of Industrial and

Systems Engineering The Hong Kong Polytechnic

University and also serving as Associate Dean

(Research) at the Faculty of Engineering His current

research interests are Logistics and Supply Chain

Management Operations Management

Distribution Coordination Systems Modelling and

Simulation AI Optimisation To date he has

published 16 book chapters over 300 refereed

international journal papers and 250 peer reviewed

international conference papers h index= 30 under

the Web of Science He is a chartered member of

the Chartered Institute of Logistics and Transport in

Hong Kong According to a study lately published in

the International Journal of Production Research

(httpdxdoiorg1010800020754320151037935)

the study measured the research contributions over

a 26-year time frame (1985-2010) of academic

institutions and individual authors to the field of

Apr 26(Thu) 2018 1615-1700

Auditorium Room

ldquoInvestigating the Interrelationship between

Stochastic Aircraft Routing of Airlines and

Maintenance Staffing of Maintenance Providersrdquo

Prof Felix TS CHAN

The Hong Kong Polytechnic University Hong Kong

Lenovo
Highlight

Operations Management (OM) based on published

articles in 11 top-rated and well-known academic OM

journals Professor Chan was among the top 50

prolific authors list who have made the greatest

overall contribution to the field as measured by the

number of distributed and shared articles published

in the 11 designated journals Also Professor Chan

was Ranked No 3 in The top 100 authors as the

most productive researchers in the field of

Operations Management over the past 10 years

(2001-2010)

COMMITTEE

ICIEA 2018 Organizing Committee

International Advisory Committee

Zhe George Zhang Western Washington University USA

Conference Chairs

Felix T S Chan The Hong Kong Polytechnic University Hong Kong

Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan

Local Organizing Chair

TANG Loon Ching National University of Singapore Singapore

Organizing and Program Committees

Seoung Bum Kim School of Industrial Mangement Engineering Korea University

Usik Lee Inha University Korea

Maode Ma Nanyang Technological University Singapore

Finance Chair

Minghan Xi Dalian Maritime University China

International Technical Committees

Cheng-Feng HuNational Chiayi University Taiwan

Dong-Yuh YangNational Taipei University of Business Taiwan

Mario HirzGraz University of Technology Austria

Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt

Po-Hsiang Liu College of Business and Management in St Johns University USA

Taesu Cheong Korea University Korea

Tien-Lun Liu Chung Yuan Christian University Taiwan

Wei CaiWuhan University of Technology China

Jinguo Huang Huazhong University of Science and Technology China

Yu-Chung Tsao National Taiwan University of Science Technology Taiwan

Yip Mum WaiTunku Abdul Rahman University College Malaysia

Pule Kholopane University of Johannesburg South Africa

Bonivasius Prasetya Ichtiarto mercu buana university Indonesia

Elita Amrina Andalas University Indonesia

Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan

Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong

Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia

Lenovo
Highlight
Lenovo
Highlight
Lenovo
Highlight
Lenovo
Highlight

Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India

Byung Do Chung Yonsei University Korea

M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia

Sandeep Singhal National Institute of Technology India

J W Wang The University of Hong Kong Hong Kong

Ching-Chang Kuo National Taichung University of Science and Technology Taiwan

Kuo-Hsiung Wang Providence University Taiwan

ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia

Sangbok Lee Hansung University Korea

Adrian E Coronado Mondragon Royal Holloway University of London UK

Chin-I Lee Ling Tung University Taiwan

S H ChoiUniversity of Hong Kong Hong Kong

Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan

Wei Cai Wuhan University of Technology China

Hashibah Hamid Universiti Utara Malaysia Malaysia

TMA Ari Samadhi Bandung Institute of Technology Indonesia

Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia

Pi-Chun Hsu Chaoyang University of Technology Taiwan

Mu-Chen Chen National Chiao Tung University Taiwan

Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan

Tsu-Wei Yu Chaoyang University of Technology Taiwan

Lingyun Wei Beijing University of Posts and Telecommunications China

Hamdi Bashir University of sharjahUnited Arab Emirates

LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand

LIU Hai-peng Kunming University of Science and Technology China

Elfira Febriani Trisakti University Indonesia

Yu-Hsiang Hsiao National Taipei University Taiwan

Chien-Chih Wang Ming Chi University of Technology Taiwan

Atichart Harncharnchai Chiang Mai University Thailand

Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)

Switzerland

Bambang Suhardi Universitas Sebelas Maret Indonesia

Ssu Han Chen Ming Chi University of Technology Taiwan

Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia

Augustina Asih Rumanti Bandung Institute of Technology Indonesia

Maheshwar Dwivedy BML Munjal University India

Zhichuan Guan China university of petroleum (East China) China

Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia

Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia

Yenming J Chen National Kaohsiung University of Science and Technology Taiwan

Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia

TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand

Li Li Nanjing University of Science and Technology China

SERTIFIKAT

Page 30: Nilai Maksimal Prosiding - eprints.undip.ac.ideprints.undip.ac.id/70482/1/...of_GSCM_practice_peer_review_lengkap.pdf · discriminant function as Z= (0.238-IeM) + (0.602-GPU) + (1.161-CCO)

Keynote Speech ndashIII

Abstract of speech

The purpose of this paper is to investigate the

generalized age maintenance policies for a system

with random working times When the system fails

it is subject to one of two types of failures with

age-dependent probability type I failure can be

removed by minimal repair and type II failure must

be rectified by replacementA First the system is

preventively replaced before type II failure at time T

or at the completion of Nth working projects

whichever occurs first Two modified models where

the system is preventively replaced before type II

failure at time T or at the completion of Nth

working projects whichever occurs last and it is

preventively replaced at the first completion of the

working project over time T or at the completion of

Nth working projects whichever occurs first are

considered By introducing costs due to repairs

maintenance and replacement the expected cost

per unit time is derived as a criterion of optimality

and the optimal policy that minimizes that cost is

discussed analytically

Shey-Huei SHEU

BIO Professor Shey-Huei Sheu is a Chair Professor

of Department of Statistics and Informatics Science

at the Providence University He is an Honorary

Chair Professor of the Department of Industrial

Management at the National Taiwan University of

Science and Technology He received his MS

degree (1979) in applied mathematics from the

National Tsing Hua University and his PhD degree

(1987) in statistics from the University of Kentucky

He has published in journals such as Naval Research

Logistics Journal of Applied Probability RAIRO

Operations Research Microelectronics and

Reliability Reliability Engineering and System Safety

International Journal of Systems Science Quality

and Reliability Engineering International

International Journal of Reliability Quality and

Safety Engineering Journal of the Operational

Research Society European Journal of the

Operational Research Computers and Operation

Research Computers and Industrial Engineering

Quality Engineering Asia-Pacific Journal of the

Operational Research Communications in

Statistics-Theory and Methods Computers and

Mathematics with Applications Simulation

Modeling Practice and Theory Communications in

Statistics-Simulation and Computation Journal of

Statistical Computation and Simulation

International Journal of Production Economics

Quality Technology and Quantitative Management

The International Journal of Advanced

Manufacturing Technology Expert Systems

International Journal of Computer Mathematics

Journal of Applied Statistics Production Planning

and Control International Journal of Production

Research Applied Mathematical Modelling IEEE

Transactions on Reliability and Annals of

Operations Research

Apr 26(Thu) 2018 1435-1520

Auditorium Room

ldquoThe Generalized Age Maintenance Policies with

Random Working Timesrdquo

Prof Shey-Huei SHEU

Providence University Taiwan

Lenovo
Highlight

Keynote Speech ndashIV

Abstract of speech

IEEE 80211ah a specification belonging to 80211

wireless local area network (WLAN) protocol family

has been recently released to support the

long-range low-power and low-rate wireless

communication among smart devices used in

Internet of Thing (IoT) systems However security

requirements of the energy-constrained devices

have plenty of issues different from the traditional

wireless devices It requires that the lightweight

security protocols have to support low-power and

low-latency as well as the long-lasting features of

quantities of IoT devices The recently released IEEE

statndard IEEE 80211ai has specified a Fast Initial

Link Setup (FILS) which is a brand-new approach

aiming at establishing fast stable and secure links

among smart devices IEEE 80211ai could be applied

to other wireless systems such as the wireless

system of IEEE 80211ah with security

enhancements In this talk I would address the

secureity issues of IEEE 80211ai and IEEE 80211ah

with an new proposal to enhance the

authentication process in the link setup procedure

specified by IEEE 80211ai

Maode MA

BIO Dr Maode Ma is a Fellow of IET He received his

PhD degree in computer science from Hong Kong

University of Science and Technology in 1999 Now

Dr Ma is an Associate Professor in the School of

Electrical and Electronic Engineering at Nanyang

Technological University in Singapore He has

extensive research interests including network

security and wireless networking Dr Ma has about

350 international academic publications including

over 160 journal papers and about 190 conference

papers He has delivered over 50 keynote speeches

at various international conferences He has served

as various chairs for over 100 international

conferences He currently serves as the

Editor-in-Chief of International Journal of Computer

and Communication Engineering and International

Journal of Electronic Transport He also serves as a

Senior Editor or an Associate Editor for other 4

international academic journals Dr Ma is a Senior

Member of IEEE Communication Society and IEEE

Education Society and a Member of ACM He is the

Chair of the IEEE Education Society Singapore

Chapter and the Chair of the ACM Singapore

Chapter He has served as an IEEE Communication

Society Distinguished Lecturer from 2013-2016

Apr 26(Thu) 2018 1530-1615

Auditorium Room

ldquoEfficient and Secure Authentication Schemes for

IEEE 80211ah Networks rdquo

Prof Maode MA

Nanyang Technological University Singapore

Lenovo
Highlight

Keynote Speech ndashV

Abstract of speech

Stochastic aircraft routing (SAR) plays a critical role

in defining the routing plans of airlines which

include assigning the aircraft to flight legs and

determining the time and location of maintenance

to the aircraft Based on the routing plan specified

by the airlines the maintenance providers should

schedule their workforce to perform maintenance

operations by solving the maintenance staffing

problem (MSP) MSP helps maintenance providers

to build their staffing plans which include the

assignment of manpower to each aircraft so that

aircraft receive the required maintenance

operations as planned Practically for airlines the

routing plan will be interrupted (eg flight delays) if

an aircraft cannot be released from the

maintenance station punctually Similarly for

maintenance providers if an aircraft misses the

scheduled appointment at the maintenance station

this will also cause a huge interruption to their

staffing plan Therefore there is an interrelationship

between SAR and MSP In the literature the focus

of each problem has been traditionally considered

separately with only limited consideration of their

interrelationship In this paper we study SAR along

with MSP with the objective of investigating the

interrelationship between SAR and MSP For this

purpose we propose a coordinated configuration

of SAR and MSP that is formulated as a

leader-follower Stackelbery game in which SAR

acts as a leader and MSP acts as a follower This

game is enacted through a bi-level optimization

model which is solved by a bi-level nested ant

colony optimization (ACO) algorithm A case study

of a major airline and maintenance provider located

in the Middle East is presented to demonstrate the

feasibility and potential of the proposed model The

results demonstrate significant saving in the costs

of both companies

Felix TS CHAN

BIO Professor Felix T S Chan received his BSc

Degree in Mechanical Engineering from Brighton

Polytechnic (now University) UK and obtained his

MSc and PhD in Manufacturing Engineering from

the Imperial College of Science and Technology

University of London UK Professor Chan is now

working at the Department of Industrial and

Systems Engineering The Hong Kong Polytechnic

University and also serving as Associate Dean

(Research) at the Faculty of Engineering His current

research interests are Logistics and Supply Chain

Management Operations Management

Distribution Coordination Systems Modelling and

Simulation AI Optimisation To date he has

published 16 book chapters over 300 refereed

international journal papers and 250 peer reviewed

international conference papers h index= 30 under

the Web of Science He is a chartered member of

the Chartered Institute of Logistics and Transport in

Hong Kong According to a study lately published in

the International Journal of Production Research

(httpdxdoiorg1010800020754320151037935)

the study measured the research contributions over

a 26-year time frame (1985-2010) of academic

institutions and individual authors to the field of

Apr 26(Thu) 2018 1615-1700

Auditorium Room

ldquoInvestigating the Interrelationship between

Stochastic Aircraft Routing of Airlines and

Maintenance Staffing of Maintenance Providersrdquo

Prof Felix TS CHAN

The Hong Kong Polytechnic University Hong Kong

Lenovo
Highlight

Operations Management (OM) based on published

articles in 11 top-rated and well-known academic OM

journals Professor Chan was among the top 50

prolific authors list who have made the greatest

overall contribution to the field as measured by the

number of distributed and shared articles published

in the 11 designated journals Also Professor Chan

was Ranked No 3 in The top 100 authors as the

most productive researchers in the field of

Operations Management over the past 10 years

(2001-2010)

COMMITTEE

ICIEA 2018 Organizing Committee

International Advisory Committee

Zhe George Zhang Western Washington University USA

Conference Chairs

Felix T S Chan The Hong Kong Polytechnic University Hong Kong

Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan

Local Organizing Chair

TANG Loon Ching National University of Singapore Singapore

Organizing and Program Committees

Seoung Bum Kim School of Industrial Mangement Engineering Korea University

Usik Lee Inha University Korea

Maode Ma Nanyang Technological University Singapore

Finance Chair

Minghan Xi Dalian Maritime University China

International Technical Committees

Cheng-Feng HuNational Chiayi University Taiwan

Dong-Yuh YangNational Taipei University of Business Taiwan

Mario HirzGraz University of Technology Austria

Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt

Po-Hsiang Liu College of Business and Management in St Johns University USA

Taesu Cheong Korea University Korea

Tien-Lun Liu Chung Yuan Christian University Taiwan

Wei CaiWuhan University of Technology China

Jinguo Huang Huazhong University of Science and Technology China

Yu-Chung Tsao National Taiwan University of Science Technology Taiwan

Yip Mum WaiTunku Abdul Rahman University College Malaysia

Pule Kholopane University of Johannesburg South Africa

Bonivasius Prasetya Ichtiarto mercu buana university Indonesia

Elita Amrina Andalas University Indonesia

Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan

Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong

Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia

Lenovo
Highlight
Lenovo
Highlight
Lenovo
Highlight
Lenovo
Highlight

Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India

Byung Do Chung Yonsei University Korea

M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia

Sandeep Singhal National Institute of Technology India

J W Wang The University of Hong Kong Hong Kong

Ching-Chang Kuo National Taichung University of Science and Technology Taiwan

Kuo-Hsiung Wang Providence University Taiwan

ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia

Sangbok Lee Hansung University Korea

Adrian E Coronado Mondragon Royal Holloway University of London UK

Chin-I Lee Ling Tung University Taiwan

S H ChoiUniversity of Hong Kong Hong Kong

Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan

Wei Cai Wuhan University of Technology China

Hashibah Hamid Universiti Utara Malaysia Malaysia

TMA Ari Samadhi Bandung Institute of Technology Indonesia

Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia

Pi-Chun Hsu Chaoyang University of Technology Taiwan

Mu-Chen Chen National Chiao Tung University Taiwan

Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan

Tsu-Wei Yu Chaoyang University of Technology Taiwan

Lingyun Wei Beijing University of Posts and Telecommunications China

Hamdi Bashir University of sharjahUnited Arab Emirates

LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand

LIU Hai-peng Kunming University of Science and Technology China

Elfira Febriani Trisakti University Indonesia

Yu-Hsiang Hsiao National Taipei University Taiwan

Chien-Chih Wang Ming Chi University of Technology Taiwan

Atichart Harncharnchai Chiang Mai University Thailand

Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)

Switzerland

Bambang Suhardi Universitas Sebelas Maret Indonesia

Ssu Han Chen Ming Chi University of Technology Taiwan

Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia

Augustina Asih Rumanti Bandung Institute of Technology Indonesia

Maheshwar Dwivedy BML Munjal University India

Zhichuan Guan China university of petroleum (East China) China

Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia

Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia

Yenming J Chen National Kaohsiung University of Science and Technology Taiwan

Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia

TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand

Li Li Nanjing University of Science and Technology China

SERTIFIKAT

Page 31: Nilai Maksimal Prosiding - eprints.undip.ac.ideprints.undip.ac.id/70482/1/...of_GSCM_practice_peer_review_lengkap.pdf · discriminant function as Z= (0.238-IeM) + (0.602-GPU) + (1.161-CCO)

Keynote Speech ndashIV

Abstract of speech

IEEE 80211ah a specification belonging to 80211

wireless local area network (WLAN) protocol family

has been recently released to support the

long-range low-power and low-rate wireless

communication among smart devices used in

Internet of Thing (IoT) systems However security

requirements of the energy-constrained devices

have plenty of issues different from the traditional

wireless devices It requires that the lightweight

security protocols have to support low-power and

low-latency as well as the long-lasting features of

quantities of IoT devices The recently released IEEE

statndard IEEE 80211ai has specified a Fast Initial

Link Setup (FILS) which is a brand-new approach

aiming at establishing fast stable and secure links

among smart devices IEEE 80211ai could be applied

to other wireless systems such as the wireless

system of IEEE 80211ah with security

enhancements In this talk I would address the

secureity issues of IEEE 80211ai and IEEE 80211ah

with an new proposal to enhance the

authentication process in the link setup procedure

specified by IEEE 80211ai

Maode MA

BIO Dr Maode Ma is a Fellow of IET He received his

PhD degree in computer science from Hong Kong

University of Science and Technology in 1999 Now

Dr Ma is an Associate Professor in the School of

Electrical and Electronic Engineering at Nanyang

Technological University in Singapore He has

extensive research interests including network

security and wireless networking Dr Ma has about

350 international academic publications including

over 160 journal papers and about 190 conference

papers He has delivered over 50 keynote speeches

at various international conferences He has served

as various chairs for over 100 international

conferences He currently serves as the

Editor-in-Chief of International Journal of Computer

and Communication Engineering and International

Journal of Electronic Transport He also serves as a

Senior Editor or an Associate Editor for other 4

international academic journals Dr Ma is a Senior

Member of IEEE Communication Society and IEEE

Education Society and a Member of ACM He is the

Chair of the IEEE Education Society Singapore

Chapter and the Chair of the ACM Singapore

Chapter He has served as an IEEE Communication

Society Distinguished Lecturer from 2013-2016

Apr 26(Thu) 2018 1530-1615

Auditorium Room

ldquoEfficient and Secure Authentication Schemes for

IEEE 80211ah Networks rdquo

Prof Maode MA

Nanyang Technological University Singapore

Lenovo
Highlight

Keynote Speech ndashV

Abstract of speech

Stochastic aircraft routing (SAR) plays a critical role

in defining the routing plans of airlines which

include assigning the aircraft to flight legs and

determining the time and location of maintenance

to the aircraft Based on the routing plan specified

by the airlines the maintenance providers should

schedule their workforce to perform maintenance

operations by solving the maintenance staffing

problem (MSP) MSP helps maintenance providers

to build their staffing plans which include the

assignment of manpower to each aircraft so that

aircraft receive the required maintenance

operations as planned Practically for airlines the

routing plan will be interrupted (eg flight delays) if

an aircraft cannot be released from the

maintenance station punctually Similarly for

maintenance providers if an aircraft misses the

scheduled appointment at the maintenance station

this will also cause a huge interruption to their

staffing plan Therefore there is an interrelationship

between SAR and MSP In the literature the focus

of each problem has been traditionally considered

separately with only limited consideration of their

interrelationship In this paper we study SAR along

with MSP with the objective of investigating the

interrelationship between SAR and MSP For this

purpose we propose a coordinated configuration

of SAR and MSP that is formulated as a

leader-follower Stackelbery game in which SAR

acts as a leader and MSP acts as a follower This

game is enacted through a bi-level optimization

model which is solved by a bi-level nested ant

colony optimization (ACO) algorithm A case study

of a major airline and maintenance provider located

in the Middle East is presented to demonstrate the

feasibility and potential of the proposed model The

results demonstrate significant saving in the costs

of both companies

Felix TS CHAN

BIO Professor Felix T S Chan received his BSc

Degree in Mechanical Engineering from Brighton

Polytechnic (now University) UK and obtained his

MSc and PhD in Manufacturing Engineering from

the Imperial College of Science and Technology

University of London UK Professor Chan is now

working at the Department of Industrial and

Systems Engineering The Hong Kong Polytechnic

University and also serving as Associate Dean

(Research) at the Faculty of Engineering His current

research interests are Logistics and Supply Chain

Management Operations Management

Distribution Coordination Systems Modelling and

Simulation AI Optimisation To date he has

published 16 book chapters over 300 refereed

international journal papers and 250 peer reviewed

international conference papers h index= 30 under

the Web of Science He is a chartered member of

the Chartered Institute of Logistics and Transport in

Hong Kong According to a study lately published in

the International Journal of Production Research

(httpdxdoiorg1010800020754320151037935)

the study measured the research contributions over

a 26-year time frame (1985-2010) of academic

institutions and individual authors to the field of

Apr 26(Thu) 2018 1615-1700

Auditorium Room

ldquoInvestigating the Interrelationship between

Stochastic Aircraft Routing of Airlines and

Maintenance Staffing of Maintenance Providersrdquo

Prof Felix TS CHAN

The Hong Kong Polytechnic University Hong Kong

Lenovo
Highlight

Operations Management (OM) based on published

articles in 11 top-rated and well-known academic OM

journals Professor Chan was among the top 50

prolific authors list who have made the greatest

overall contribution to the field as measured by the

number of distributed and shared articles published

in the 11 designated journals Also Professor Chan

was Ranked No 3 in The top 100 authors as the

most productive researchers in the field of

Operations Management over the past 10 years

(2001-2010)

COMMITTEE

ICIEA 2018 Organizing Committee

International Advisory Committee

Zhe George Zhang Western Washington University USA

Conference Chairs

Felix T S Chan The Hong Kong Polytechnic University Hong Kong

Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan

Local Organizing Chair

TANG Loon Ching National University of Singapore Singapore

Organizing and Program Committees

Seoung Bum Kim School of Industrial Mangement Engineering Korea University

Usik Lee Inha University Korea

Maode Ma Nanyang Technological University Singapore

Finance Chair

Minghan Xi Dalian Maritime University China

International Technical Committees

Cheng-Feng HuNational Chiayi University Taiwan

Dong-Yuh YangNational Taipei University of Business Taiwan

Mario HirzGraz University of Technology Austria

Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt

Po-Hsiang Liu College of Business and Management in St Johns University USA

Taesu Cheong Korea University Korea

Tien-Lun Liu Chung Yuan Christian University Taiwan

Wei CaiWuhan University of Technology China

Jinguo Huang Huazhong University of Science and Technology China

Yu-Chung Tsao National Taiwan University of Science Technology Taiwan

Yip Mum WaiTunku Abdul Rahman University College Malaysia

Pule Kholopane University of Johannesburg South Africa

Bonivasius Prasetya Ichtiarto mercu buana university Indonesia

Elita Amrina Andalas University Indonesia

Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan

Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong

Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia

Lenovo
Highlight
Lenovo
Highlight
Lenovo
Highlight
Lenovo
Highlight

Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India

Byung Do Chung Yonsei University Korea

M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia

Sandeep Singhal National Institute of Technology India

J W Wang The University of Hong Kong Hong Kong

Ching-Chang Kuo National Taichung University of Science and Technology Taiwan

Kuo-Hsiung Wang Providence University Taiwan

ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia

Sangbok Lee Hansung University Korea

Adrian E Coronado Mondragon Royal Holloway University of London UK

Chin-I Lee Ling Tung University Taiwan

S H ChoiUniversity of Hong Kong Hong Kong

Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan

Wei Cai Wuhan University of Technology China

Hashibah Hamid Universiti Utara Malaysia Malaysia

TMA Ari Samadhi Bandung Institute of Technology Indonesia

Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia

Pi-Chun Hsu Chaoyang University of Technology Taiwan

Mu-Chen Chen National Chiao Tung University Taiwan

Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan

Tsu-Wei Yu Chaoyang University of Technology Taiwan

Lingyun Wei Beijing University of Posts and Telecommunications China

Hamdi Bashir University of sharjahUnited Arab Emirates

LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand

LIU Hai-peng Kunming University of Science and Technology China

Elfira Febriani Trisakti University Indonesia

Yu-Hsiang Hsiao National Taipei University Taiwan

Chien-Chih Wang Ming Chi University of Technology Taiwan

Atichart Harncharnchai Chiang Mai University Thailand

Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)

Switzerland

Bambang Suhardi Universitas Sebelas Maret Indonesia

Ssu Han Chen Ming Chi University of Technology Taiwan

Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia

Augustina Asih Rumanti Bandung Institute of Technology Indonesia

Maheshwar Dwivedy BML Munjal University India

Zhichuan Guan China university of petroleum (East China) China

Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia

Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia

Yenming J Chen National Kaohsiung University of Science and Technology Taiwan

Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia

TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand

Li Li Nanjing University of Science and Technology China

SERTIFIKAT

Page 32: Nilai Maksimal Prosiding - eprints.undip.ac.ideprints.undip.ac.id/70482/1/...of_GSCM_practice_peer_review_lengkap.pdf · discriminant function as Z= (0.238-IeM) + (0.602-GPU) + (1.161-CCO)

Keynote Speech ndashV

Abstract of speech

Stochastic aircraft routing (SAR) plays a critical role

in defining the routing plans of airlines which

include assigning the aircraft to flight legs and

determining the time and location of maintenance

to the aircraft Based on the routing plan specified

by the airlines the maintenance providers should

schedule their workforce to perform maintenance

operations by solving the maintenance staffing

problem (MSP) MSP helps maintenance providers

to build their staffing plans which include the

assignment of manpower to each aircraft so that

aircraft receive the required maintenance

operations as planned Practically for airlines the

routing plan will be interrupted (eg flight delays) if

an aircraft cannot be released from the

maintenance station punctually Similarly for

maintenance providers if an aircraft misses the

scheduled appointment at the maintenance station

this will also cause a huge interruption to their

staffing plan Therefore there is an interrelationship

between SAR and MSP In the literature the focus

of each problem has been traditionally considered

separately with only limited consideration of their

interrelationship In this paper we study SAR along

with MSP with the objective of investigating the

interrelationship between SAR and MSP For this

purpose we propose a coordinated configuration

of SAR and MSP that is formulated as a

leader-follower Stackelbery game in which SAR

acts as a leader and MSP acts as a follower This

game is enacted through a bi-level optimization

model which is solved by a bi-level nested ant

colony optimization (ACO) algorithm A case study

of a major airline and maintenance provider located

in the Middle East is presented to demonstrate the

feasibility and potential of the proposed model The

results demonstrate significant saving in the costs

of both companies

Felix TS CHAN

BIO Professor Felix T S Chan received his BSc

Degree in Mechanical Engineering from Brighton

Polytechnic (now University) UK and obtained his

MSc and PhD in Manufacturing Engineering from

the Imperial College of Science and Technology

University of London UK Professor Chan is now

working at the Department of Industrial and

Systems Engineering The Hong Kong Polytechnic

University and also serving as Associate Dean

(Research) at the Faculty of Engineering His current

research interests are Logistics and Supply Chain

Management Operations Management

Distribution Coordination Systems Modelling and

Simulation AI Optimisation To date he has

published 16 book chapters over 300 refereed

international journal papers and 250 peer reviewed

international conference papers h index= 30 under

the Web of Science He is a chartered member of

the Chartered Institute of Logistics and Transport in

Hong Kong According to a study lately published in

the International Journal of Production Research

(httpdxdoiorg1010800020754320151037935)

the study measured the research contributions over

a 26-year time frame (1985-2010) of academic

institutions and individual authors to the field of

Apr 26(Thu) 2018 1615-1700

Auditorium Room

ldquoInvestigating the Interrelationship between

Stochastic Aircraft Routing of Airlines and

Maintenance Staffing of Maintenance Providersrdquo

Prof Felix TS CHAN

The Hong Kong Polytechnic University Hong Kong

Lenovo
Highlight

Operations Management (OM) based on published

articles in 11 top-rated and well-known academic OM

journals Professor Chan was among the top 50

prolific authors list who have made the greatest

overall contribution to the field as measured by the

number of distributed and shared articles published

in the 11 designated journals Also Professor Chan

was Ranked No 3 in The top 100 authors as the

most productive researchers in the field of

Operations Management over the past 10 years

(2001-2010)

COMMITTEE

ICIEA 2018 Organizing Committee

International Advisory Committee

Zhe George Zhang Western Washington University USA

Conference Chairs

Felix T S Chan The Hong Kong Polytechnic University Hong Kong

Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan

Local Organizing Chair

TANG Loon Ching National University of Singapore Singapore

Organizing and Program Committees

Seoung Bum Kim School of Industrial Mangement Engineering Korea University

Usik Lee Inha University Korea

Maode Ma Nanyang Technological University Singapore

Finance Chair

Minghan Xi Dalian Maritime University China

International Technical Committees

Cheng-Feng HuNational Chiayi University Taiwan

Dong-Yuh YangNational Taipei University of Business Taiwan

Mario HirzGraz University of Technology Austria

Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt

Po-Hsiang Liu College of Business and Management in St Johns University USA

Taesu Cheong Korea University Korea

Tien-Lun Liu Chung Yuan Christian University Taiwan

Wei CaiWuhan University of Technology China

Jinguo Huang Huazhong University of Science and Technology China

Yu-Chung Tsao National Taiwan University of Science Technology Taiwan

Yip Mum WaiTunku Abdul Rahman University College Malaysia

Pule Kholopane University of Johannesburg South Africa

Bonivasius Prasetya Ichtiarto mercu buana university Indonesia

Elita Amrina Andalas University Indonesia

Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan

Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong

Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia

Lenovo
Highlight
Lenovo
Highlight
Lenovo
Highlight
Lenovo
Highlight

Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India

Byung Do Chung Yonsei University Korea

M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia

Sandeep Singhal National Institute of Technology India

J W Wang The University of Hong Kong Hong Kong

Ching-Chang Kuo National Taichung University of Science and Technology Taiwan

Kuo-Hsiung Wang Providence University Taiwan

ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia

Sangbok Lee Hansung University Korea

Adrian E Coronado Mondragon Royal Holloway University of London UK

Chin-I Lee Ling Tung University Taiwan

S H ChoiUniversity of Hong Kong Hong Kong

Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan

Wei Cai Wuhan University of Technology China

Hashibah Hamid Universiti Utara Malaysia Malaysia

TMA Ari Samadhi Bandung Institute of Technology Indonesia

Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia

Pi-Chun Hsu Chaoyang University of Technology Taiwan

Mu-Chen Chen National Chiao Tung University Taiwan

Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan

Tsu-Wei Yu Chaoyang University of Technology Taiwan

Lingyun Wei Beijing University of Posts and Telecommunications China

Hamdi Bashir University of sharjahUnited Arab Emirates

LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand

LIU Hai-peng Kunming University of Science and Technology China

Elfira Febriani Trisakti University Indonesia

Yu-Hsiang Hsiao National Taipei University Taiwan

Chien-Chih Wang Ming Chi University of Technology Taiwan

Atichart Harncharnchai Chiang Mai University Thailand

Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)

Switzerland

Bambang Suhardi Universitas Sebelas Maret Indonesia

Ssu Han Chen Ming Chi University of Technology Taiwan

Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia

Augustina Asih Rumanti Bandung Institute of Technology Indonesia

Maheshwar Dwivedy BML Munjal University India

Zhichuan Guan China university of petroleum (East China) China

Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia

Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia

Yenming J Chen National Kaohsiung University of Science and Technology Taiwan

Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia

TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand

Li Li Nanjing University of Science and Technology China

SERTIFIKAT

Page 33: Nilai Maksimal Prosiding - eprints.undip.ac.ideprints.undip.ac.id/70482/1/...of_GSCM_practice_peer_review_lengkap.pdf · discriminant function as Z= (0.238-IeM) + (0.602-GPU) + (1.161-CCO)

Operations Management (OM) based on published

articles in 11 top-rated and well-known academic OM

journals Professor Chan was among the top 50

prolific authors list who have made the greatest

overall contribution to the field as measured by the

number of distributed and shared articles published

in the 11 designated journals Also Professor Chan

was Ranked No 3 in The top 100 authors as the

most productive researchers in the field of

Operations Management over the past 10 years

(2001-2010)

COMMITTEE

ICIEA 2018 Organizing Committee

International Advisory Committee

Zhe George Zhang Western Washington University USA

Conference Chairs

Felix T S Chan The Hong Kong Polytechnic University Hong Kong

Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan

Local Organizing Chair

TANG Loon Ching National University of Singapore Singapore

Organizing and Program Committees

Seoung Bum Kim School of Industrial Mangement Engineering Korea University

Usik Lee Inha University Korea

Maode Ma Nanyang Technological University Singapore

Finance Chair

Minghan Xi Dalian Maritime University China

International Technical Committees

Cheng-Feng HuNational Chiayi University Taiwan

Dong-Yuh YangNational Taipei University of Business Taiwan

Mario HirzGraz University of Technology Austria

Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt

Po-Hsiang Liu College of Business and Management in St Johns University USA

Taesu Cheong Korea University Korea

Tien-Lun Liu Chung Yuan Christian University Taiwan

Wei CaiWuhan University of Technology China

Jinguo Huang Huazhong University of Science and Technology China

Yu-Chung Tsao National Taiwan University of Science Technology Taiwan

Yip Mum WaiTunku Abdul Rahman University College Malaysia

Pule Kholopane University of Johannesburg South Africa

Bonivasius Prasetya Ichtiarto mercu buana university Indonesia

Elita Amrina Andalas University Indonesia

Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan

Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong

Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia

Lenovo
Highlight
Lenovo
Highlight
Lenovo
Highlight
Lenovo
Highlight

Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India

Byung Do Chung Yonsei University Korea

M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia

Sandeep Singhal National Institute of Technology India

J W Wang The University of Hong Kong Hong Kong

Ching-Chang Kuo National Taichung University of Science and Technology Taiwan

Kuo-Hsiung Wang Providence University Taiwan

ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia

Sangbok Lee Hansung University Korea

Adrian E Coronado Mondragon Royal Holloway University of London UK

Chin-I Lee Ling Tung University Taiwan

S H ChoiUniversity of Hong Kong Hong Kong

Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan

Wei Cai Wuhan University of Technology China

Hashibah Hamid Universiti Utara Malaysia Malaysia

TMA Ari Samadhi Bandung Institute of Technology Indonesia

Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia

Pi-Chun Hsu Chaoyang University of Technology Taiwan

Mu-Chen Chen National Chiao Tung University Taiwan

Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan

Tsu-Wei Yu Chaoyang University of Technology Taiwan

Lingyun Wei Beijing University of Posts and Telecommunications China

Hamdi Bashir University of sharjahUnited Arab Emirates

LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand

LIU Hai-peng Kunming University of Science and Technology China

Elfira Febriani Trisakti University Indonesia

Yu-Hsiang Hsiao National Taipei University Taiwan

Chien-Chih Wang Ming Chi University of Technology Taiwan

Atichart Harncharnchai Chiang Mai University Thailand

Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)

Switzerland

Bambang Suhardi Universitas Sebelas Maret Indonesia

Ssu Han Chen Ming Chi University of Technology Taiwan

Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia

Augustina Asih Rumanti Bandung Institute of Technology Indonesia

Maheshwar Dwivedy BML Munjal University India

Zhichuan Guan China university of petroleum (East China) China

Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia

Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia

Yenming J Chen National Kaohsiung University of Science and Technology Taiwan

Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia

TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand

Li Li Nanjing University of Science and Technology China

SERTIFIKAT

Page 34: Nilai Maksimal Prosiding - eprints.undip.ac.ideprints.undip.ac.id/70482/1/...of_GSCM_practice_peer_review_lengkap.pdf · discriminant function as Z= (0.238-IeM) + (0.602-GPU) + (1.161-CCO)

COMMITTEE

ICIEA 2018 Organizing Committee

International Advisory Committee

Zhe George Zhang Western Washington University USA

Conference Chairs

Felix T S Chan The Hong Kong Polytechnic University Hong Kong

Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan

Local Organizing Chair

TANG Loon Ching National University of Singapore Singapore

Organizing and Program Committees

Seoung Bum Kim School of Industrial Mangement Engineering Korea University

Usik Lee Inha University Korea

Maode Ma Nanyang Technological University Singapore

Finance Chair

Minghan Xi Dalian Maritime University China

International Technical Committees

Cheng-Feng HuNational Chiayi University Taiwan

Dong-Yuh YangNational Taipei University of Business Taiwan

Mario HirzGraz University of Technology Austria

Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt

Po-Hsiang Liu College of Business and Management in St Johns University USA

Taesu Cheong Korea University Korea

Tien-Lun Liu Chung Yuan Christian University Taiwan

Wei CaiWuhan University of Technology China

Jinguo Huang Huazhong University of Science and Technology China

Yu-Chung Tsao National Taiwan University of Science Technology Taiwan

Yip Mum WaiTunku Abdul Rahman University College Malaysia

Pule Kholopane University of Johannesburg South Africa

Bonivasius Prasetya Ichtiarto mercu buana university Indonesia

Elita Amrina Andalas University Indonesia

Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan

Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong

Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia

Lenovo
Highlight
Lenovo
Highlight
Lenovo
Highlight
Lenovo
Highlight

Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India

Byung Do Chung Yonsei University Korea

M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia

Sandeep Singhal National Institute of Technology India

J W Wang The University of Hong Kong Hong Kong

Ching-Chang Kuo National Taichung University of Science and Technology Taiwan

Kuo-Hsiung Wang Providence University Taiwan

ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia

Sangbok Lee Hansung University Korea

Adrian E Coronado Mondragon Royal Holloway University of London UK

Chin-I Lee Ling Tung University Taiwan

S H ChoiUniversity of Hong Kong Hong Kong

Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan

Wei Cai Wuhan University of Technology China

Hashibah Hamid Universiti Utara Malaysia Malaysia

TMA Ari Samadhi Bandung Institute of Technology Indonesia

Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia

Pi-Chun Hsu Chaoyang University of Technology Taiwan

Mu-Chen Chen National Chiao Tung University Taiwan

Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan

Tsu-Wei Yu Chaoyang University of Technology Taiwan

Lingyun Wei Beijing University of Posts and Telecommunications China

Hamdi Bashir University of sharjahUnited Arab Emirates

LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand

LIU Hai-peng Kunming University of Science and Technology China

Elfira Febriani Trisakti University Indonesia

Yu-Hsiang Hsiao National Taipei University Taiwan

Chien-Chih Wang Ming Chi University of Technology Taiwan

Atichart Harncharnchai Chiang Mai University Thailand

Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)

Switzerland

Bambang Suhardi Universitas Sebelas Maret Indonesia

Ssu Han Chen Ming Chi University of Technology Taiwan

Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia

Augustina Asih Rumanti Bandung Institute of Technology Indonesia

Maheshwar Dwivedy BML Munjal University India

Zhichuan Guan China university of petroleum (East China) China

Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia

Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia

Yenming J Chen National Kaohsiung University of Science and Technology Taiwan

Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia

TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand

Li Li Nanjing University of Science and Technology China

SERTIFIKAT

Page 35: Nilai Maksimal Prosiding - eprints.undip.ac.ideprints.undip.ac.id/70482/1/...of_GSCM_practice_peer_review_lengkap.pdf · discriminant function as Z= (0.238-IeM) + (0.602-GPU) + (1.161-CCO)

ICIEA 2018 Organizing Committee

International Advisory Committee

Zhe George Zhang Western Washington University USA

Conference Chairs

Felix T S Chan The Hong Kong Polytechnic University Hong Kong

Shey-Huei Sheu Department of Statistics and Informatics Science Providence University Taiwan

Local Organizing Chair

TANG Loon Ching National University of Singapore Singapore

Organizing and Program Committees

Seoung Bum Kim School of Industrial Mangement Engineering Korea University

Usik Lee Inha University Korea

Maode Ma Nanyang Technological University Singapore

Finance Chair

Minghan Xi Dalian Maritime University China

International Technical Committees

Cheng-Feng HuNational Chiayi University Taiwan

Dong-Yuh YangNational Taipei University of Business Taiwan

Mario HirzGraz University of Technology Austria

Amr Eltawil Egypt Japan University of Science and Technology (E-JUST) Egypt

Po-Hsiang Liu College of Business and Management in St Johns University USA

Taesu Cheong Korea University Korea

Tien-Lun Liu Chung Yuan Christian University Taiwan

Wei CaiWuhan University of Technology China

Jinguo Huang Huazhong University of Science and Technology China

Yu-Chung Tsao National Taiwan University of Science Technology Taiwan

Yip Mum WaiTunku Abdul Rahman University College Malaysia

Pule Kholopane University of Johannesburg South Africa

Bonivasius Prasetya Ichtiarto mercu buana university Indonesia

Elita Amrina Andalas University Indonesia

Ren-Jieh Kuo National Taiwan University of Science and Technology Taiwan

Nguyen Thi Phuong Quyen National Taiwan University of Science and Technology Taiwan Xuan Qiu The Hong Kong University of Science and Technology Hong Kong

Mohamad Zairi Bin Baharom Universiti Malaysia Pahang Malaysia

Lenovo
Highlight
Lenovo
Highlight
Lenovo
Highlight
Lenovo
Highlight

Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India

Byung Do Chung Yonsei University Korea

M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia

Sandeep Singhal National Institute of Technology India

J W Wang The University of Hong Kong Hong Kong

Ching-Chang Kuo National Taichung University of Science and Technology Taiwan

Kuo-Hsiung Wang Providence University Taiwan

ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia

Sangbok Lee Hansung University Korea

Adrian E Coronado Mondragon Royal Holloway University of London UK

Chin-I Lee Ling Tung University Taiwan

S H ChoiUniversity of Hong Kong Hong Kong

Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan

Wei Cai Wuhan University of Technology China

Hashibah Hamid Universiti Utara Malaysia Malaysia

TMA Ari Samadhi Bandung Institute of Technology Indonesia

Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia

Pi-Chun Hsu Chaoyang University of Technology Taiwan

Mu-Chen Chen National Chiao Tung University Taiwan

Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan

Tsu-Wei Yu Chaoyang University of Technology Taiwan

Lingyun Wei Beijing University of Posts and Telecommunications China

Hamdi Bashir University of sharjahUnited Arab Emirates

LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand

LIU Hai-peng Kunming University of Science and Technology China

Elfira Febriani Trisakti University Indonesia

Yu-Hsiang Hsiao National Taipei University Taiwan

Chien-Chih Wang Ming Chi University of Technology Taiwan

Atichart Harncharnchai Chiang Mai University Thailand

Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)

Switzerland

Bambang Suhardi Universitas Sebelas Maret Indonesia

Ssu Han Chen Ming Chi University of Technology Taiwan

Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia

Augustina Asih Rumanti Bandung Institute of Technology Indonesia

Maheshwar Dwivedy BML Munjal University India

Zhichuan Guan China university of petroleum (East China) China

Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia

Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia

Yenming J Chen National Kaohsiung University of Science and Technology Taiwan

Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia

TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand

Li Li Nanjing University of Science and Technology China

SERTIFIKAT

Page 36: Nilai Maksimal Prosiding - eprints.undip.ac.ideprints.undip.ac.id/70482/1/...of_GSCM_practice_peer_review_lengkap.pdf · discriminant function as Z= (0.238-IeM) + (0.602-GPU) + (1.161-CCO)

Anand Jayakumar Arumugham SVS College of EngineeringCoimbatore Tamil Nadu India

Byung Do Chung Yonsei University Korea

M Mujiya Ulkhaq Diponegoro University Indonesia Marek Kocisko Technical University of Kosice Slovakia

Sandeep Singhal National Institute of Technology India

J W Wang The University of Hong Kong Hong Kong

Ching-Chang Kuo National Taichung University of Science and Technology Taiwan

Kuo-Hsiung Wang Providence University Taiwan

ISMAIL MUSIRIN Universiti Teknologi MARA Malaysia

Sangbok Lee Hansung University Korea

Adrian E Coronado Mondragon Royal Holloway University of London UK

Chin-I Lee Ling Tung University Taiwan

S H ChoiUniversity of Hong Kong Hong Kong

Shang-Juh Kao National Chung-Hsing University Taichung City Taiwan

Wei Cai Wuhan University of Technology China

Hashibah Hamid Universiti Utara Malaysia Malaysia

TMA Ari Samadhi Bandung Institute of Technology Indonesia

Zainal Abidin Akasah Universiti Tun Hussein Malaysia Malaysia

Pi-Chun Hsu Chaoyang University of Technology Taiwan

Mu-Chen Chen National Chiao Tung University Taiwan

Murat Kucukvar Qatar University Qatar Chaudry Bilal Ahmad Khan Institute of Space Technology Pakistan

Tsu-Wei Yu Chaoyang University of Technology Taiwan

Lingyun Wei Beijing University of Posts and Telecommunications China

Hamdi Bashir University of sharjahUnited Arab Emirates

LERDLEKHA SRIRATANA Ramkhamhaeng University Thailand

LIU Hai-peng Kunming University of Science and Technology China

Elfira Febriani Trisakti University Indonesia

Yu-Hsiang Hsiao National Taipei University Taiwan

Chien-Chih Wang Ming Chi University of Technology Taiwan

Atichart Harncharnchai Chiang Mai University Thailand

Roberto Montemanni Istituto Dalle Molle di Studi sullIntelligenza Artificiale (IDSIA - USISUPSI)

Switzerland

Bambang Suhardi Universitas Sebelas Maret Indonesia

Ssu Han Chen Ming Chi University of Technology Taiwan

Mrsquod Gapar Mrsquod Johar Management and Science University Malaysia FAZEEDA BINTI MOHAMAD UNIVERSITI MALAYSIA PAHANG Malaysia

Augustina Asih Rumanti Bandung Institute of Technology Indonesia

Maheshwar Dwivedy BML Munjal University India

Zhichuan Guan China university of petroleum (East China) China

Iwan Aang Soenandi Krida Wacana Christian University Indonesia Amelia KurniawatiTelkom University Indonesia

Anas Marsquoruf Bandung Institute of Technology Indonesia Gabriel LodewijksThe University of New South WalesAustralia

Yenming J Chen National Kaohsiung University of Science and Technology Taiwan

Ardyono Priyadi Institut Teknologi Sepuluh Nopember Indonesia

TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand

Li Li Nanjing University of Science and Technology China

SERTIFIKAT

Page 37: Nilai Maksimal Prosiding - eprints.undip.ac.ideprints.undip.ac.id/70482/1/...of_GSCM_practice_peer_review_lengkap.pdf · discriminant function as Z= (0.238-IeM) + (0.602-GPU) + (1.161-CCO)

TUANJAI SOMBOONWIWAT King Mongkutrsquos University of Technology Thonburi (KMUTT) Thailand

Li Li Nanjing University of Science and Technology China

SERTIFIKAT

Page 38: Nilai Maksimal Prosiding - eprints.undip.ac.ideprints.undip.ac.id/70482/1/...of_GSCM_practice_peer_review_lengkap.pdf · discriminant function as Z= (0.238-IeM) + (0.602-GPU) + (1.161-CCO)

SERTIFIKAT

Page 39: Nilai Maksimal Prosiding - eprints.undip.ac.ideprints.undip.ac.id/70482/1/...of_GSCM_practice_peer_review_lengkap.pdf · discriminant function as Z= (0.238-IeM) + (0.602-GPU) + (1.161-CCO)