Evalution of ERP

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    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

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    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)

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    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)

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    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

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    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.

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    A surveyIdentify ERP

    Success factors

    Case StudiesMeasurement of

    ERP Benefits

    InterviewsProductivity

    indicators

    Develop Tool

    SEEBAS

    Research

    Problem

    Figure 1: Research Design

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    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.

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    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

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    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

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    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)

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    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.

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    SEEBAS

    The evaluation module has threesub modules:

    ERPs Implementation SuccessFactors

    ERPs Benefits

    ERPs Productivity Indicators

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    Figure 4: The sub module of ERPs Productivity

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    Figure 5: The Sub menu ERPs Benefits

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    Figure 6: ERPs benefit-Result fromexample KPI-B-1

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    Figure 7: ERPs productivity indicators -Example: KPI-P-30 (graph)

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    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.

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