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Student Number 92426024
Author Chun-Hung Pan(¼ï«T§»)
Author's Email Address No Public.
Statistics This thesis had been viewed 3237 times. Download 1623 times.
Department Graduate Institute of Industrial Management
Year 2004
Semester 2
Degree Master
Type of Document Master's Thesis
Language English
Title An Integrated Framework to Measure Supply Chain Performance
Date of Defense 2005-06-30
Page Count 107
Keyword
  • Design of Experiment
  • Performance Metrics
  • Supply Chain Operations Reference-model (SCOR)
  • System Dynamics
  • Abstract In the highly competitive supply chain environment, most companies cannot precisely obtain their performance status in real time such that they cannot make appropriate decisions to confront the market dynamics, demand variety and production exceptions¡Ketc, and then they could be out of the advantage to compete. Therefore, the ability to measure the performance of operations can be taken as an important necessity for improvement, and companies have endeavored to increase their interests and capabilities of the performance measurement systems (PMSs). In fact, the lack of relevant performance measures has been recognized as one of the major problems in process and Supply Chain Management (SCM). Because of the very different views on what should constitute supply chain performance, many firms have found it difficult to practice SCM. As a prevalent industrial standard for SCM practices, Supply-Chain Operations Reference-model (SCOR-model) provides a systematic and comprehensive framework to measure a firm¡¦s performance from different dimensions in the supply chain environment.
    In this thesis, we utilize Interaction Matrix to recognize the correlation between the performance metrics; construct a hierarchical structure based on standard formulas and definitions of SCOR-model and SAP R/3 ERP system and try to reflect the essence of the various supply chain performance dimensions. We further apply System Dynamics (SD) simulation to model the behaviors of the performance metrics based on several scenarios. Finally, Design of Experiments (DOE) is employed in analyzing the result of simulation through the what-if analysis and sensitivity analysis to provide the useful information for making decisions concerning SC performance.
    Table of Content Chapter I Introduction...........................................1
    1.1 Background...................................................1
    1.2 Motivation...................................................3
    1.3 Research Objectives..........................................3
    1.4 Thesis Structure.............................................4
    Chapter II Literature Review.....................................6
    2.1 Supply Chain Management......................................6
    2.1.1 Introduction of Supply Chain Management....................6
    2.1.2 Supply Chain Reference-Model..............................10
    2.1.3 Supply Chain Dynamics Modeling............................12
    2.2 Performance Measurement....................................16
    2.2.1 Financial vs. Non-Financial Measurement...................16
    2.2.2 Various Supply Chain Performance Measures.................18
    2.2.3 Performance Measurement System............................20
    2.3 Balanced Scorecard and Simulation...........................23
    2.3.1 Overview of BSC...........................................23
    2.3.2 Simulation Techniques for SCM.............................25
    Chapter III Structure of Supply Chain Performance Metrics.......27
    3.1 Overview of Supply Chain Performance Metrics................27
    3.1.1 Definition of performance metrics.........................27
    3.1.2 Dimensions of Performance Metrics.........................28
    3.2 Supply Chain Metrics in SCOR model..........................32
    3.2.1 SCOR Performance Attribute................................32
    3.2.2 Metrics in Make to Order Process..........................35
    3.3 Tools of Simulation and Analysis..................................51
    3.3.1 Interaction Matrix........................................51
    3.3.2 System dynamics...........................................54
    3.3.3 Design of Experiments.....................................58
    Chapter IV Modeling of Supply Chain Performance Metrics.........60
    4.1 Interaction Matrix of Metrics...............................60
    4.2 Hierarchical Supply Chain Metrics...........................68
    4.3 System Dynamics Modeling....................................74
    4.4 DOE.........................................................82
    Chapter V Implementation and Analysis...........................86
    5.1 Case Description............................................86
    5.2 System Dynamics Simulation..................................89
    5.3 DOE Result and Analysis.....................................96
    Chapter VI Conclusions and Recommendations.....................100
    6.1 Conclusions................................................100
    6.2 Recommendations for Future Study...........................101
    Reference......................................................102
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    Advisor
  • Hsing-Pei Kao(°ª«H°ö)
  • Files
  • 92426024.pdf
  • approve immediately
    Date of Submission 2005-07-05

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