required for full qualification PE WSQ GRADUATE … Brochures/Graduate...PE WSQ GRADUATE DIPLOMA IN MANUFACTURING OPERATIONS ... Graduate Diploma in Manufacturing Operations Management

PE WSQ GRADUATE DIPLOMA IN MANUFACTURING OPERATIONS MANAGEMENT

The Precision Engineering Workforce Skills Qualifications (PE WSQ) Graduate Diploma in Manufacturing Operations Management (MOM) is developed to provide hands-on training to equip future PE professionals with the basic understanding of the principles involved in the field of MOM which focuses on the effective planning, scheduling, use and control of a manufacturing organisation through the study of concepts from industrial engineering, management information systems, production management, inventory management and other functions as they affect the organisation.

This programme will be conducted through a series of lectures, software tools demonstrations and hands-on model building exercises in selected industrial applications. It aims to equip participants with the knowledge and skill sets required to perform their tasks effectively in the areas of MOM. Specifically, it will enhance the functional knowledge of manufacturing operations management, provides the knowledge and skills to identify opportunities for improving efficiency across the processes of organisation’s supply chain, streamlining production operations, maximising customer satisfaction by meeting delivery deadline, increasing profitability by optimising organisation’s inventory investment and enhancing credibility among peers, employers and customers.

Industry Relevance

Why This Course

This programme is designed for production supervisors, industrial engineering engineers, production engineers, planners, schedulers, production managers, production control managers, and other professionals involved in production and inventory management, shop-floor operations management, supply chain management, procurement and materials management from the precision engineering, electronics, aerospace and automotive sectors.

This programme aims to equip employees in the PE industry with cutting-edge precision engineering technologies and skills to achieve high value manufacturing and greater productivity. Since the inception of this programme in 2009, SIMTech has trained more than 300 Professionals, Managers, Engineers and Technicians (PMETs) and more than 50 companies have benefited from sending their employees to attend the course.

Only 5 modules (4 core + 1 elective modules) required for full qualification

When & WherePlease visit our website at KTO.SIMTech.a-star.edu.sg for the updated course schedule.

Training Venue: Singapore Institute of Manufacturing Technology2 Fusionopolis Way, Innovis, Level 8, Singapore 138634

Singapore Institute of Manufacturing Technology 2 Fusionopolis Way, Innovis, #08-04, Singapore 138634 Tel: +65 6590 3193 Email: [email protected] | Website: KTO.SIMTech.a-star.edu.sg

For enquiries, please contact:Mr Chua Tay JinEmail: [email protected]

Participants will be awarded the Graduate Diploma after successfully completing five modules (four core units and one elective unit). Alternatively, participants will be awarded a WSQ Statement of Attainment electronic certificate for passing any individual module of their choice.

Core Unit 1 | Enterprise Resource Planning (ERP)(42 hours)This module provides a fundamental understanding of ERP solution that is widely used by industries to manage companies’ resources. All key modules in an ERP system will be introduced in the course. Participants are given a broadbased understanding of how basic business processes such as sales and procurement management are represented within an ERP solution and how they are integrated within the ERP solution. Main techniques used in ERP system will be taught. Participants can apply these techniques through hands-on sessions. In addition, Excel tools will be introduced. Trainees will use Excel tools to do exercises. Core Unit 2 | Operations Analysis (51 hours) This module introduces participants to the fundamental analytic methods in Operations Management (OM). It is meant to give participants a firm understanding in various techniques and practical tools that are commonly used in the analysis of OM problems. The module teaches the participants advanced techniques in modelling and simulation. Through various demonstrations and exercises using FlexSim, participants will learn how to model complex production and service systems and how to analyse and optimise them. Core Unit 3 | Inventory Management (42 hours) This module covers the fundamental principles of inventory management. In Singapore, the term often used is stock control. Inventory management measurements and techniques will be explained. Inventory management is concerned with minimising the total cost of inventory. Therefore, the financial importance of inventory management and its relationship to company financial statement will be reviewed. Understanding of these techniques will allow inventory management professionals and their managers to grasp the technical details of inventory management and apply it to understand the role of inventory management in supporting the supply chain process.

Core Unit 4 | Advanced Planning & Scheduling (APS)(42 hours)This module provides an understanding of techniques that are widely used for generating finite capacity plan and schedule for factory operations. An overview of the field and issues will be followed by detailed discussions of the major techniques, mainly the heuristics and simulation-based techniques. Case studies based on industry applications will be presented to demonstrate the benefits of using these techniques. A unique feature about this module is the hands-on sessions that give the participants the opportunity to build planning and scheduling models using both the heuristics and simulation based software. Understanding of these techniques will allow planning and scheduling professionals and their managers to grasp the technical details of APS system and apply it to improve their factory performance.

Elective Units• Implement LEAN Manufacturing (48 hours)• Understand Operations Improvement Fundamentals (OMNI-CU1)(40 hours)• Manage Manufacturing Execution System (MES)(42 hours)

For more information about each module, please visit KTO.SIMTech.a-star.edu.sg

Course Modules

Course Fee and Funding• The course fee for the complete Graduate Diploma Programme is at least S$15,000 before course fee funding & GST.• The course fee for each module (except for the modules listed below) is S$3,000 before course fee funding & GST.• For Elective Unit, Implement LEAN Manufacturing, the course fee is S$4,000 before course fee funding & GST.• For Elective Unit, OMNI-CU1, the course fee is S$6,000 before course fee funding & GST.• All Singaporeans and Permanent Residents aged 21 years and above can enjoy course fee funding of up to 70% of

the course fee.• Singaporean or Permanent Resident employees fully sponsored by SMEs can enjoy course fee funding support of up

to 90% of the course fee under the Enhanced Training Support for Small & Medium Enterprises (SMEs) scheme, subject to eligibility criteria.

• Singaporeans aged 40 years and above can enjoy course fee funding of up to 90% of the course fee under the SkillsFuture Mid-career Enhanced Subsidy (MCES).

• Singaporeans aged 35 years and above with earnings not more than S$2,000 per month can enjoy course fee funding for 95% of the course fee under the Workfare Training Support (WTS) scheme.

• Singaporeans aged 25 years old and above are eligible for SkillsFuture Credit which can be used to offset course fees.

For more information about the course fee funding, please visit www.ssg.gov.sg

01/2017

This module provides a fundamental understanding of ERP solution that is widely used by industries to manage companies’ resources. All key modules in an ERP system will be introduced in the course. Participants are given a broadbased understanding of how basic business processes such as sales and procurement management are represented within an ERP solution and how they are integrated within the ERP solution. Main techniques used in ERP system will be taught. Participants will apply those techniques through hands-on sessions. In addition, Excel tools will be introduced. Participants will use Excel tools to do exercises.

Who Should Attend

Why This Course

This module is designed for production supervisors, industrial engineering engineers, production engineers, planners, enterprise resource planning (ERP) schedulers, production managers, production control managers, and other professionals involved in production and inventory management, shop-floor operations management, supply chain management, procurement and materials management from the precision engineering, electronics, aerospace and automotive sectors.

• Designed specifically based on local industry demand• Highly practical and intensive• Latest knowledge and up-to-date technology • Case studies highlighting industrial applications • Expert trainers in the field with industrial experience





Enterprise Resource Planning (ERP) (42 hours)



What You Will LearnOverview of ERP Solutions • Supply Chain and ERP solutions• Operation Management and Innovation versus ERP• Extended ERP Systems

Production Planning System • Framework of Production Planning System • Production Plan • Master Production Scheduling (MPS)• Case Study: Hands-on with Production Plan and MPS Calculation

Materials Requirement Planning (MRP) • Independent Demand versus Dependent Demand• Principles and Techniques of MRP• Case Study: Hands-on with BOM and MRP Calculation

ERP Implementation • End-to-End Process Flow• ERP System Selection• ERP System Implementation• Case Study: Hands-on with ERP System on End-to-End Process• Competency Assessment

07/2017

About the Course LeadersMs Laura Xu is a Principal Research Engineer in SIMTech. She has completed many industry projects and research projects relating to ERP Implementation, Business Re-engineering, Lean Manufacturing and Value Chain study. She is a certified Production & Inventory Management (CPIM) practitioner and a certified Project Management Professional (PMP) by PMI, USA, and is also certified in Lean Six Sigma Black Belt. She obtained her Master Degree in Engineering from Nanyang Technological University, Singapore, and Master Degree in Economy Management from Tsinghua University of China.

Dr Wang Fengyu is a Senior Research Engineer with SIMTech, who concentrates his research activity on inventory planning, control and optimisation; meanwhile he also leads and actively participates in industry collaborations in the area of operation management, particularly, inventory management, warehouse management, production planning, and Lean manufacturing. The intensive knowledge gained in research projects and extensive experience from several dozen industry projects in the past 18 years make Dr Wang capable of helping industry tackle the challenges in supply chain management. Dr Wang’s core capability & skills mainly include supply chain system modelling, development and analysis, optimisation techniques, Lean tools, and simulation technology. Dr Wang has Bachelor & Master degrees in Computer Engineering, from Northeastern University, China, and PhD from Nanyang Technological University, Singapore. He is also certified in Production and Inventory Management (CPIM) by APICS.

Course Fee and Funding• The course fee for this module is S$3,000 before course fee funding & GST.• All Singaporeans and Permanent Residents aged 21 years and above can enjoy course fee funding of up to 70% of





• Singaporeans aged 25 years old and above are eligible for SkillsFuture Credit which can be used to offset course fees. For more information about the course fee funding, please visit www.ssg.gov.sg

This module introduces participants to the fundamental analytic methods in Operations Management (OM). It is meant to give participants a firm understanding in various techniques and practical tools that are commonly used in the analysis of OM problems. The module teaches the participants advanced techniques in modelling and simulation. Through various demonstrations and exercises using FlexSim, participants will learn how to model complex production and service systems and how to analyse and optimise them. The second topic presents an introduction to queuing systems and how to manage and simulate them. Queues are the basic tools in modelling production and service systems. Optimisation is another skill that is fundamental to OM analysis. Participants will learn to formulate problems, learn linear programming and how to solve simple optimisation problems using a mathematical tool. The last topic is on networks. Graphs and trees will be taught and their applications to various problems in OM will be elucidated. The module is supported by various hands-on exercises using Matlab, Lindo, and FlexSim. Application of the techniques learnt will be demonstrated through simple problems in planning, scheduling, forecasting, inventory control and logistics.

Who Should Attend

Why This Course

This module is designed for production supervisors, industrial engineering engineers, production engineers, planners, schedulers, production managers, production control managers, and other professionals involved in production and inventory management, shop-floor operations management, supply chain management, procurement, and materials management from the precision engineering, electronics, aerospace and automotive sectors.

• Designed specifically based on local industry demand• Highly practical and intensive• Latest knowledge and up-to-date technology • Case studies highlighting industrial application • Expert trainers in the field with industrial experience





Operations Analysis (51 hours)



What You Will LearnSimulation• Fundamentals of simulation• Simulation modelling• Simulation analysis

Queuing Theory• Queuing system • Advanced queuing system• Costs of queuing systems and implications

Optimisation• Unconstrained optimisation • Constrained optimisation• Discrete optimisation, heuristics

Network Flow• Network flow problem and shortest path• Spanning tree and transportation • Assignment and flow

07/2017

About the Course LeadersMr Chin Chee Kai is currently a director of SoftML Pte Ltd, a company he founded to help companies leverage technologies in a smart way. Chee Kai has worked in some of the largest IT companies in the United States and Singapore, a pioneering info-communications authority in Singapore, as well as a venture-funded high-tech start-up in Japan. He brings more than 10 years of both government and private sector experience in the IT industry to his clients, associates, business friends and students. Chee Kai shares his experience with the future generation through teaching at the Nanyang Business School on various business and IT topics such as Management Science, Operations Management, Statistics, and Business IT. Chee Kai holds a Highest-Honors double-major degree from the University of California at Berkeley, a Masters of Science degree from the Stanford University, a Master of Business Administration (Technology) from the Waseda University, and a Dean’s Honor mention for his MBA degree from the Nanyang Technological University.

Dr William Lee is the co-founder and chief Trainer at The SMART Methodology Company. He leads the company’s training and advisory services as well as being responsible for the strategic direction and growth of the company. William is an accomplished speaker, trainer and practitioner in the area of Process Excellence, Innovation, Market Research and Industrial Infocomm Technologies.

Dr Koh Niak Wu is the founder and CEO of Cosmiqo. He specialises in Supply Chain Analytics, Strategy Execution and Operations Management Innovation. He formerly worked with the Global Supply Chain and Logistics team at Dell where he contributed to strategy analytics and was a Scientist at the Planning and Operations Management Group in SIMTech, A*STAR where he gained valuable insights into the evolution of industries. He is an Adjunct Faculty member at the Singapore Management University and UniSIM where he shares his views and cross-industry experiences in Supply Chains and Operations Management.







This module covers the fundamental principles of inventory management. In Singapore, the term often used is stock control. Inventory management measurements and techniques will be explained. Inventory management is concerned with minimising the total cost of inventory. Therefore, the financial importance of inventory management and its relationship to company financial statement will be reviewed. Understanding of these techniques will allow inventory management professionals and their managers to grasp the technical details of inventory management and apply it to understand the role of inventory management in supporting the supply chain process.

Who Should Attend

Why This Course

This module is designed for supply chain managers, purchasing managers, sales managers, warehouse managers, and other professionals involved in supply chain management, production planning, inventory management, procurement, and materials management from industries such as precision engineering, electronics, aerospace, automotive, retail, etc.






Inventory Management (42 hours)



What You Will LearnFundamental Principles of Inventory Control and Management• Fundamental Principles of Inventory Management with Cost of Inventory• Understanding Lean Management Planning for Inventory Management• Inventory Supply Chain Network Optimisation• Inventory Supply Chain Network Planning & Implementation • Case study of Supply Chain Network Optimisation• Inventory Performance Measurements and Inventory Turnover

Inventory Planning & Decision Models and Techniques • Discrete Lot-Sizing Techniques & Basic Lot Sizing Models with Decision Rules• Independent Demand & Dependent Demand Inventory Systems• Deterministic & Probabilistic Inventory Models• Dynamic Programming in Inventory Management• Case Study: Hands-on with Inventory Models & Techniques

11/2017

About the Course LeadersDr Yuan Xue Ming is a Research Scientist from Singapore Institute of Manufacturing Technology (SIMTech), A*STAR with more than 20 years’ experience in Supply Chain Management, Predictive Analytics, and Stochastic Models and Algorithms. He has held various positions in China, France, Hong Kong and Singapore. He was appointed as an Associate Professor of Chinese Academy of Sciences in 1994, and an Adjunct Associate Professor of the National University of Singapore in 2007. He is a Certified Course Developer, Trainer and Assessor with advanced certificates for SSG courses. He has been teaching SSG Postgraduate Diploma’s Manufacturing Operations Management Course Inventory Management Module since 2009 as course module leader. He has also been teaching Logistics and Supply Chain Management Course and Inventory Management Course for both Undergraduate and Postgraduate levels at the National University of Singapore.

Dr Wang Fengyu is a Senior Research Engineer with SIMTech, who concentrates his research activity on inventory planning, control and optimisation; meanwhile he also leads and actively participates in industry collaborations in the area of operation management, particularly, inventory management, warehouse management, production planning, and Lean manufacturing. The intensive knowledge gained in research projects and extensive experience from several dozen industry projects in the past 18 years make Dr Wang capable of helping industry tackle the challenges in supply chain management. Dr Wang’s core capability & skills mainly include supply chain system modelling, development and analysis, optimisation techniques, Lean tools, and simulation technology. Dr Wang has Bachelor & Master degrees in Computer Engineering, from Northeastern University, China, and PhD from Nanyang Technological University, Singapore. He is also certified in Production and Inventory Management (CPIM) by APICS.








This module provides an understanding of techniques that are widely used for generating finite capacity plan and schedule for factory operations. An overview of the field and issues will be followed by detailed discussions of the major techniques, mainly the heuristics and simulation-based techniques. Case studies based on industry applications will be presented to demonstrate the benefits of using these techniques. A unique feature about this module is the hands-on sessions that give the participants the opportunity to build planning and scheduling models using both the heuristics and simulation-based software. Understanding of these techniques will allow planning and scheduling professionals and their managers to grasp the technical details of Advanced Planning and Scheduling system and apply it to improve their factory performance.

Who Should Attend

Why This Course






Advanced Planning & Scheduling (APS) (42 hours)



What You Will LearnManufacturing Systems and Modules• Types of manufacturing systems• Principles of manufacturing systems• Types and uses of manufacturing models• Case study: manufacturing plant of your current/previous company

Manufacturing Planning and Scheduling • Manufacturing planning & scheduling fundamentals• Shop scheduling with high product mix• Heuristics-based planning and scheduling• Finite capacity scheduling – applications, trend and practical issues• Case study: hands-on with heuristics-based planning and scheduling software

Simulation-based Planning and Scheduling• Basic simulation modelling• Review of basic probability and statistics• Building valid and credible simulation models• Simulation-based scheduling• Case studies: hands-on with simulation modelling using flexsim and simulation-based scheduling system

Emerging Techniques and Trends in Planning & Scheduling

07/2017

About the Course LeadersMr Chua Tay Jin is currently a Principal Research Engineer in SIMTech. He has more than 22 years of working experiences in the areas of manufacturing operations management related technologies. Since joining SIMTech, he has led several industrial and research projects in the areas of advanced planning and scheduling and enterprise resource planning. He is a certified practitioner in Production & Inventory Management (CPIM) and certified in Resource Management (CIRM) by APICS, The Association for Operations Management, USA. He is currently spearheading an industry-wide effort on helping companies in the PE industry by developing dynamic production planning and scheduling software for high-mix low-volume manufacturing environment. To date, he had three USA patents and one Singapore patent granted in the area of production planning and scheduling. He is also the course leader for the Graduate Diploma in Manufacturing Operations Management (MOM) course and the module leader for the Advanced Planning and Scheduling (APS) module. He has also obtained ACTA training and certification.

Dr Chong Chin Soon is currently a Principal Research Engineer in SIMTech. He graduated from the City University, UK with a BSc (Electrical and Electronic) in 1990, from Nanyang Technological University with a MEng (Mechanical) and a PhD (Electrical and Electronic). He has over 20 years of research and industrial experience in simulation, scheduling and optimisation as applied in the domain areas of containter port, factory and warehouse, semiconductor manufacturing, MRO inventory optimisation. He specialises in simulation-based scheduling and cost optimisation using meta-heuristics including genetic algorithm, bee colony, tabu search and simulated annealing. He has obtained ACTA training and certification.







PE WSQ Programme in Implement Lean Manufacturing (48 hours) Productivity improvement is the only sustainable way to increase value-add of an organisation and is the key driver of business growth.

Under the Singapore Workforce Skills Qualifications (WSQ) system, this programme aims to achieve productivity breakthroughs for an organisation by educating trainees in Lean principles and equipping them with Lean techniques that can be implemented in the workplace.

A systematic approach to identifying wastes (non-value-added activities) and conducting root-cause analyses, together with practical lean techniques, is taught in classroom lectures; while the mentoring sessions facilitate the application of lean techniques on-site.

Upon completing the course, trainees become lean champions and lean leaders who will commence on their own lean journeys, train colleagues, and foster lean culture within their organisations for continuous productivity improvements and long-term benefits.

Lean is applicable to manufacturing and service industries such as medtech, electronics, precision engineering, marine engineering, printing, packaging, furniture, logistics, food & beverage, and retail, among others.

Who Should Attend• Senior management and directors • Operations or supply chain directors• Managers in departments of procurement / production / QA&QC/ logistics / HR / admin• Supervisors / engineers / designers • Senior staff/managers in business process management and operational improvement

When & WherePlease contact our course leaders for the course schedule.

Training Venue: Singapore Institute of Manufacturing Technology2 Fusionopolis Way, Innovis, Level 8, Singapore 138634 Please contact the Knowledge Transfer Office should you wish to have a corporate class conducted at your company’s premises.


For enquiries, please contact:Ms Laura XuEmail: [email protected]

• Continuous Improvement (Kaizen)• Root Cause Analysis (RCA)• 6S• Visual Management• Standardised Work

Warehouse, Purchase, and Logistics | Factory or Workshop Production | Finance and Administration | Sales and Marketing | Customer Management

Lean Implementation Techniques include:

Lean Techniques can be implemented across different departments, including:

Course Fee and Funding• The full course fee for this module is S$4,000 before course fee funding & GST.• All Singaporeans and Permanent Residents aged 21 years and above can enjoy course fee funding of up to 70% of





• Singaporeans aged 25 years old and above are eligible for SkillsFuture Credit which can be used to offset course fees.

For more information about the course fee funding, please visit www.ssg.gov.sg

05/2017

About the Course LeadersMs Laura Xu, Principal Research Engineer at SIMTech, is the Lead for the Lean Manufacturing Initiative. Through this Lean Implementation Programme, and together with her team, she has helped more than 30 local companies achieve waste reduction and productivity improvements. She has been working in the Lean arena for more than 15 years and has certifications in Lean Sigma Black Belt, Production & Inventory Management (CPIM) and Project Management Professional (PMP). She obtained her Masters in Engineering from the Nanyang Technological University, Singapore and a Masters in Economy Management from the Tsinghua University.

Mr Wang Feng Yu is a Senior Research Engineer at SIMTech who has over 15 years of experience in operations management (OM) and in OM-oriented research and industry projects. His main areas of focus cover of production planning, inventory management, business process streamlining, Lean manufacturing, and supply chain management. His key capabilities include system analyses and modelling as well as optimisation using OR technologies like linear programming, dynamic programming, and simulation. Mr Wang obtained his Masters Computer Engineering from the Northeastern University, China and is also certified in Production and Inventory Management (CPIM) by APICS.

Mr Loong Meng Onn is a Senior Consultant with the Manufacturing Productivity Technology Centre (MPTC) at SIMTech. Mr Loong has considerable experience in manufacturing technology road mapping and Lean productivity improvement projects, having worked with Matsushita Electronics in Engineering & Automation for eight years. He has another ten years of experience with Philips Electronics where, as the Senior Manager for Production Systems & Automation, he had set up the company’s factory in Batam, Indonesia. He has a degree in Mechanical Engineering.

Mr Lim Yi Yung is a Senior Consultant with the Manufacturing Productivity Technology Centre (MPTC) at SIMTech. Mr Lim has experience in Plant Automation, Training, Plant Construction, Operations, and Business Development. Working in the industry, he has managed process optimising projects and inventory control systems for higher capital efficiency and has re-designed work and reorganised department structures to achieve Lean operations for higher workforce stability and productivity. Mr Lim has an MBA from the Nanyang Business School, Singapore, and a Mechanical Engineering degree from OSU, USA.

• Value Stream Mapping (VSM)• Business Process Streamlining (BPS)• Plant Layout• Single Minute Exchange of Die (SMED)• Total Productive Maintenance (TPM)

This module aims to provide participants with the knowledge and skills of shop-floor tracking and control through an understanding of business performance indicators, the knowledge to identify and select suitable operational KPIs to support business performance indicators in a holistic manner, the ability to model a manufacturing shop-floor environment and conduct tracking and monitoring, the ability to determine the overall equipment effectiveness (OEE), and the ability to control shop-floor operations. Participants will use an MES during hands-on assignment sessions where they have to model a shop-floor environment and use the tracking features of an MES to perform production status and operator tracking. Case studies of industrial applications of MES will be used to help participants understand the use of MES in a wide range of industries.

Who Should Attend

Why This Course







Manage Manufacturing Execution System (42 hours)



What You Will LearnIntroduction to MES: Metrics, Functions & Standards • Importance Of Measurements & Metrics for Improving Manufacturing Performance• Functions of MES & ISA-95 Standards• Overall Equipment Effectiveness: Machine Utilisation & Availability Tracking

Application of MES for Production Tracking & Product Genealogy • Production Tracking to Provide Visibility for Shop-Floor Control • Product Genealogy for Compliance to Standards for Traceability

Application of MES for Resource Allocation & Equipment /Asset Management • Approaches for Dynamic Resource Allocation• Optimal Maintenance and Equipment Management

07/2017

About the Course LeadersMr Tan Chak Huah is currently a Principal Research Engineer with the Singapore Institute of Manufacturing Technologoy (SIMTech) since 1986. He received his MSc (CIM) from the Nanyang Technological University in 1993. He has been involved in various industrial projects for shop-floor Track and Trace using RFID technology, material handling, and condition-based monitoring. He has experience in system modelling, database design, and resource allocation for discrete Manufacturing Execution Systems. He has also obtained ACTA training and certification.

Dr Zhao Yi Zhi is a Senior Research Engineer with SIMTech. He received his MSc in Computer-Integrated Manufacturing from the Nanyang Technological University, Singapore. He has more than 20 years of R&D and industrial project experience, specialising in wireless sensor networks, DBMS and network communications for intelligent manufacturing system and factory visibility, rule-based re-configurable prioritisation and dispatching for energy-efficient production system, dynamic reconfiguration for complex systems modelling, intelligent and automated control for air-cargo handling system. He has years of experience in conducting industry training courses. He has obtained ACTA training and certification.

Dr Luo Ming received her PhD from the Nanyang Technological University, Singapore in 1998. She is currently working in SIMTech as a Research Scientist. She has more than 15 years of industry experience in the fields of data and system modelling, Business Process Re-engineering (BPR) and supervisory control system design and development. She is an experienced project leader and led in-house and CRP projects in the areas of data mining for fault diagnosis and prediction, computational intelligence based optimisation algorithm for dynamic resource allocation. Her areas of expertise include system analysis and data modelling for manufacturing shop-floor systems, system architecture design, database design, and rule based event management system and computational intelligence for data mining. Dr Luo Ming has obtained ACTA training and certification.







Documents

required for full qualification PE WSQ GRADUATE … Brochures/Graduate...PE WSQ GRADUATE DIPLOMA IN MANUFACTURING OPERATIONS ... Graduate Diploma in Manufacturing Operations Management