Upload
saurabh-gupta
View
221
Download
0
Embed Size (px)
Citation preview
8/4/2019 Evalution of ERP
1/18
Zaitun A. B. and Zaini Zainol
Department of Information System,
Faculty of Computer Science and InformationTechnology,
University of Malaya,
50603 Kuala Lumpur, Malaysia.
A Web-Based DSS for theEvaluation of an ERP
System
1
8/4/2019 Evalution of ERP
2/18
Introduction - ERPEnterprise Resource Planning (ERP) is an
information system that manages, through
integration, all aspects of a business including
production planning, purchasing, manufacturing,
sales, distribution and accounting - Khalid (2002)Comprehensive, packaged software solutions that
seek to integrate the complete range of a business
processes and functions in order to present a
holistic view of the business from a single
information and IT architecture Gable (1998)
2
8/4/2019 Evalution of ERP
3/18
Decision Support SystemDSS as an interactive, flexible, and adaptable
CBIS that utilizes decision rules, models, and
model base coupled with a comprehensive
database and the decision makers own insights,
leading to specific, implementable decisions insolving problems that would not be amenable to
management science optimization models per se.
Thus, a DSS support complex decision making
and increase its effectiveness.
(Turban 1990)
3
8/4/2019 Evalution of ERP
4/18
The Research ProblemERP adoption and implementation involves high
riskHuge initial investment90% are over budget
33% success rate40% achieve only partial implementation20% are scrapped as total failureBetween 60% - 90% did not achieve ROI identified
during the approval stage
lack of proper guidelines or planning to assist oldand new companies in implementing ERP systemscorrectly
4
8/4/2019 Evalution of ERP
5/18
This leads to We need a web-based tool to assist organizations
to evaluate the success of their ERP
implementation and measure the benefits
obtained.
We need to establish a guideline of success
factors for ERP implementation.
We need to establish a measurement of ERP
benefits and a list of productivity indicators.
5
8/4/2019 Evalution of ERP
6/18
A surveyIdentify ERP
Success factors
Case StudiesMeasurement of
ERP Benefits
InterviewsProductivity
indicators
Develop Tool
SEEBAS
Research
Problem
Figure 1: Research Design
6
8/4/2019 Evalution of ERP
7/18
The Survey128 small and medium enterprises from the manufacturing
sector of the state of Selangor, in Malaysia They were chosen because of their strength and financial
standing.Located in the industrial estates such as the HICOM
Industrial Estate, Bangi Industrial Estate, Klang Free Zone,Shah Alam and Petaling Jaya.The state of Selangor was chosen because it possesses
modern infrastructures liken that found in developedcountries.
SPSS version 12 for WindowsDescriptive statistics - mean, mode, median and dispersion
measures of standard deviation and variance wereconsidered.
7
8/4/2019 Evalution of ERP
8/18
8/4/2019 Evalution of ERP
9/18
Project Steering
Committee (PSC)
Better Future of
ERP Planning
Continuous
Support from
consultant
Top Management
Support (PSC)
Project Leader
Characteristics
Resistance from
olderemployees
Dedicated
Consultants
Minimal
Customization
Language
Barrier
Well Organized
Training
Managing Change
Management
Well Organized
Business Blue Print
Continuity in
Training
Local Cultural
Understanding
Rewards Future Consultant
Commitment
ERP Implementation Success Factors
Contribute
To
The success of ERP project
Figure 2: Framework for ERPs Evaluation -Implementation Success Factors9
8/4/2019 Evalution of ERP
10/18
Code Variables Asked
Operational benefits:
OB01 Process cost reduction P
OB02 Cycle time reduction E
OB03 Productivity improvement R
OB04 Quality improvement F
OB05 Customer service improvement Result To O
Managerial benefits: R
MB01 Better resource management M
MB02 Improved decision making and planning A
MB03 Performance improvement N
Strategic benefits: C
SB01 Supporting business growth E
SB02 Support business alliance
SB03 Build business innovations O
SB04 Building cost leadership F
SB05 Assisting with product differentiation
SB06 Improved linkages with customers and suppliers E
Figure 3: Framework for ERP
Evaluation ERPs Benefits
10
8/4/2019 Evalution of ERP
11/18
No. Indicator
1. Indicator: Labour Cost Competitiveness (LCC)Formula : Added Value / Cost
2. Indicator: Labour Cost per Employee (LCE)Formula : Labour Cost / Number of Employee
3. Indicator: Unit Labour Cost (ULC)
Formula : Labour Cost / Total Output4. Indicator: Labour Productivity (LP)Formula : Added Value / Number of Employees
5. Indicator: Total Output per EmployeeFormula : Total Output / Number of Employees
6. Indicator: Capital Productivity (CP)Formula : Added Value / Fixed Assets (IT related equipment)
7. Indicator: Capital TurnoverFormula : Total Output / Fixed Assets (IT related equipment)
8. Indicator: Capital Intensity (CI)Formula : Fixed Assets (IT related equipment) / Number of Employees
Table 1:Framework For ERP Evaluation (ERPs Productivity)
11
8/4/2019 Evalution of ERP
12/18
The need for the evaluationof ERP performance
The huge investment. The outcomefrom its investment should be higherthan the cost of implementing it.
The system effectiveness inaddressing all problems faced by theold system.
Investment justificationFuture reference particularly whenfurther investment need to be carriedout as the ERP system evolve from
time to time.
8/4/2019 Evalution of ERP
13/18
SEEBAS
The evaluation module has threesub modules:
ERPs Implementation SuccessFactors
ERPs Benefits
ERPs Productivity Indicators
8/4/2019 Evalution of ERP
14/18
Figure 4: The sub module of ERPs Productivity
14
8/4/2019 Evalution of ERP
15/18
Figure 5: The Sub menu ERPs Benefits
15
8/4/2019 Evalution of ERP
16/18
Figure 6: ERPs benefit-Result fromexample KPI-B-1
16
8/4/2019 Evalution of ERP
17/18
Figure 7: ERPs productivity indicators -Example: KPI-P-30 (graph)
17
8/4/2019 Evalution of ERP
18/18
Conclusion Extensive literature to develop our survey instrument which assistedus to identify the critical success factors which are specific to
Malaysian manufacturing SMEs.We verified our findings through selected Case Studies on selected
manufacturing SMEs. From the case studies we have identified the matrix of ERP
measurement benefits From the interviews we determined the productivity indicators usedto evaluate the success of an ERP implementation.
These findings were incorporated in the web-based to become theDSS which we have called SEEBAS.
Five ERP users to evaluate the system and received positive
reviews. For future work, we would like to suggest the Delphi approach to beused to strengthen the criteria that we have used as ERP successfactors, benefits measurements and productivity indicators.
18