ㄧ衡量供應鏈績效之整合性架構

以作者查詢圖書館館藏

、以作者查詢臺灣博碩士

、以作者查詢全國書目

、勘誤回報

、線上人數：10

、訪客IP：3.145.15.205

姓名

潘俊宏(Chun-Hung Pan) 查詢紙本館藏

畢業系所

工業管理研究所

論文名稱

ㄧ衡量供應鏈績效之整合性架構
(An Integrated Framework to Measure Supply Chain Performance)

相關論文

★ 應用MFM 與PPM 監控協同設計之執行流程	★ 應用DSM與DRFT於汽車電子之協同開發流程
★ 一協同設計專案團隊組成方法- 以安全監視器產品為例	★ 應用認知工程開發全球化光纖通訊系統
★ 羽絨產業策略規劃-應用品質機能展開分析法	★ 重電業協同專案管理績效之研究-以變電所統包工程為例
★ 以屬性導向新產品開發之流程塑模與分析– 以醫療器材產業為案例	★ 以品質機能展開法應用於主管管理職能之建構
★ 應用參考模型以及流程建模改善供應鏈績效-以投影機產業為例	★ 協同產品開發之流程管理 - 以汽車零件為例
★ 配電系統之高壓電纜接頭供應商評選	★ 應用品質機能展開於產品開發之流程分析-以刀鋒式伺服器為例
★ 實施精實六標準差改進製程良率－以機頂盒表面黏著技術為例	★ 太陽能模組產業之決策營運研究
★ 新產品開發階段導入替代料之流程建模及潛在風險分析	★ 應用實驗設計研發PET複合膜及改善厚膜翹曲問題

檔案

[Endnote RIS 格式]

[Bibtex 格式]

[相關文章]

[文章引用]

[完整記錄]

[館藏目錄]

[檢視]

[下載]

本電子論文使用權限為同意立即開放。
已達開放權限電子全文僅授權使用者為學術研究之目的，進行個人非營利性質之檢索、閱讀、列印。
請遵守中華民國著作權法之相關規定，切勿任意重製、散佈、改作、轉貼、播送，以免觸法。

摘要(英)

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…etc, 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.

關鍵字(中)

★ 關鍵績效指標
★ 實驗設計
★ 供應鏈作業參考模式
★ 系統動態學

關鍵字(英)

★ Supply Chain Operations Reference-model (SCOR)
★ Design of Experiment
★ System Dynamics
★ Performance Metrics

論文目次

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

參考文獻

1. Banks, J., S. Buckley, S. Jain, and P. Lendermann, “Panel session: opportunities for simulation in supply chain management”, Proceedings of the 2002 Winter Simulation Conference, pp. 1652-11658, 2002
2. Beamon B.M., T.M.Ware, “A process quality model for the analysis, improvement and control of supply chain systems”, Logistics Information Management, Vol. 11, No. 2, pp. 105–113, 1998
3. Beamon, B.M. and Chen, V. C. P., “Performance analysis of conjoined supply chains”, International Journal of Production Research, Vol. 39, No. 14, pp. 3195-3218, 2001
4. Beamon B.M., “Measuring supply chain performance”, International Journal of Operations & Production Management, Vol. 19, No. 3, 275-292, 1999
5. Bourne M., J. Mills, M. Wilcox, A. Neely, K. Platts, “Designing, implementing and updating performance measurement systems”, International Journal of Operations & Production Management, Vol. 20, No. 7, pp. 754–771, 2000
6. Brewer Peter C., “Using The Balanced Scorecard to Measure Supply Chain Performance”, Journal of Business Logistics, Vol. 21, No. 1, pp. 75-93, 2000
7. Bullinger Hans-Jorg, Michael Kuhner and Antonius Van Hoof, “Analyzing supply chain performance using a balanced measurement method”, International Journal of Production Research, Vol. 40, No. 15, pp. 3533-3543, 2002
8. Cachon, G. P. and Fisher, M., “Supply chain inventory management and the value of shared information”, Management Science, Vol.46, pp. 1032–1048, 2000
9. Chen, F., “Echelon reorder points, installation reorder points, and the value of centralized demand information”, Management Science, Vol. 44, pp. 221-234, 1998
10. Chen I. J. and A. Paulraj, “Understanding supply chain management: critical research and a theoretical framework”, International Journal of Production Research, Vol. 42, No. 1, pp. 131–163, 2003
11. Clemens Lohman, Leonard Fortuin, Marc Wouters, “Designing a performance measurement system: A case study”, European Journal of Operational Research, Vol. 156, pp. 267-286, 2004
12. Cooper, R., “The Rise of Activity-Based Costing — Part One: What is an Activity-Based Cost System”, Journal of Cost Management, Vol. 2, pp. 45-54, 1988
13. Coyle, R. G., “System Dynamics Modeling: A Practical Approach”, Chapman Hall, London, 1996
14. Christopher, M., “Logistics and Supply Chain Management: Strategies for Reducing Costs and Improving Services”, Financial Times, second ed. Pitman Publishing, London, 1998
15. Davies, G.B., “Strategies for information requirements determination”, IBM Systems Journal, Vol. 21, No. 1, pp. 4–30, 1982
16. Disney, S.M. and D.R. Towill, “The effect of vendor managed inventory (VMI) dynamics on the bullwhip effect in supply chains”, International Journal of Production Economics, Vol. 85, pp. 199-215, 2003
17. Fisher Joseph, “Non-financial Performance Measures: Implications for Financial Managers”, International Journal of Strategic Cost Management, pp. 23-40, summer, 1998
18. Forrester, J.W., “Industrial dynamics”, M.I.T. Press, Cambridge (Massachusetts), 1961
19. Gaonkar, R. and Viswanadham, N., “Collaboration and information sharing in global contract manufacturing networks”, IEEE/ASME Transactions on Mechatronics, Vol. 6, pp. 366–376, 2001
20. Gunasekaran, C. Patel, Ronald E. McGaughey, “A framework for supply chain performance measurement”, International Journal of Production Economics, Vol. 87, pp. 333–347, 2004
21. Handfield Robert B. and Ernest L. Nichols, Jr., “Introduction to Supply Chain Management”, Prentice Hall, Upper Saddle River, New Jersey, 1999.
22. Holmberg, S., “A systems perspective on supply chain measurements”, International Journal of Physical Distribution and Logistics Management, Vol. 30, No. 10, pp. 847–868, 2000
23. Huang George Q., Jason S. K. Lau and K. L. Mak, “The impacts of sharing production information on supply chain dynamics: a review of the literature”, International Journal of Production Research, Vol. 41, No. 7, pp. 1483–1517, 2003
24. Kaplan, R. S. and Norton D. P., “The balanced scorecard - measures that drive performance”, Harvard Business Review, Vol. 70, pp. 71–79, 1992
25. Kaplan, R. K. and Norton, D. P., “The Balanced Scorecard: Translating Strategy into Action”, Harvard Business School Press, Boston, MA, 1996
26. Kaplan, R.S., Norton D. P., “The Strategy-Focused Organization: How Balanced Scorecard Companies Thrive in the New Business Environment”, Harvard Business School Press, Boston, MA., 1996
27. Kaplan, R. S. and Norton D. P., “Using the Balanced Scorecard as a Strategy Management System” Harvard Business Review, pp.75-85, 1996
28. Kirkwood, C. W., “System Dynamics Methods: A Quick Introduction”, Department of Management, Arizona State University, USA, 1998
29. Kleijnen Jack PC and Martin T Smits, “Performance metrics in supply chain management”, Journal of the Operational Research Society, Vol. 0, pp. 1-8, 2003
30. Kueng Peter, Thomas Wettstein, Beate List, “A holistic process performance analysis through a performance data warehouse”, Seventh Americas Conference on Information System, 2001
31. Lane, D. C. “Invited Review and Reappraisal: Industrial Dynamics”, Journal of the Operational Research Society, Vol. 48, pp. 1037-1042, 1997
32. Law AM and Kelton WD, “Simulation Modeling and Analysis”, 3rd ed, McGraw-Hill, Boston, 2000
33. Lee, H.L., Billington, C., “Managing supply chain inventory: pitfalls and opportunities”, Sloan Management Review, Vol. 33, No. 3, pp. 65–73, 1992
34. Lee, H.L., V. Padmanabhan, and S. Whang, “The bullwhip effect in supply chains”, Sloan Management Review, Vol. 38, pp. 93-102, 1997
35. Lee, H. L., So, K. C. and Tang, C. S., “The value of information sharing in a two-level supply chain”, Management Science, Vol. 46, pp. 626–643, 2000
36. Lohman F.A.B., “The effectiveness of management information”, Ph.D. Thesis, Delft University, Netherlands, 1999
37. Medori D., D. Steeple, “A framework for auditing and enhancing performance measurement systems”, International Journal of Operations & Production Management, Vol. 20, No. 5, pp. 520–533, 2000
38. Melnyk Steven A., Douglas M. Stewart, Morgan Swink, “Metrics and performance measurement in operations management: dealing with the metrics maze”, Journal of Operations Management, Vol. 22, pp. 209–217, 2004
39. Narahari Y. and S. Biswas, “Supply Chain Management: Modeling and Decision Making”, Research paper series, Indian Institute of Science, 2000.
40. Neely A.D., M. Gregory, K. Platts, “Performance measurement system design”, International Journal of Operations & Production Management, Vol. 15, No.4, pp. 80–116, 1995
41. Plane DR., “How to build spreadsheet models for production and operations management”, OR/MS Today, Vol. 24, pp. 50-54, 1997
42. Powell SG., “Leading the spreadsheet revolution”, OR/MS Today, Vol. 24, pp. 8-10, 1997
43. Raghavan N.R.S., “Performance Analysis and Scheduling of Manufacturing Supply Chain Network”, Ph.D. thesis, Dept. of Computer Science and Automation, Indian Institute of Science, Bangalore, India, November 1998.
44. Smith PC and Goddard M, “Performance management and operational research: A marriage made in heaven?” Journal of the Operational Research Society, Vol. 53, pp. 247-255, 2002
45. Stephens, S., “The supply chain council and the supply chain operations reference (SCOR) model: integrating processes, performance measurements, technology and best practice” Logistics Spectrum, pp. 16–18, July–September, 1 July, 2000
46. Sterman, J. D., “Business Dynamics: System Thinking and Modeling for a Complex World”, McGraw-Hill, Boston, 2000
47. Supply-Chain Council, “Supply-Chain Operations Reference-model: SCOR Version 6.1”, Supply-Chain Council, Inc., May 2004
48. Swaminathan, J. M., Smith, S. F. and Sadeh, N. M., “Modeling supply chain dynamics: a multi-agent approach”, Decisions Sciences, Vol. 29, pp. 607-632, 1998
49. Ten Wolde H. “Building blocks of education”. OR/MS Today Vol. 27, pp. 12, 2000
50. Towill, D. R., Naim, M. M. and Wikner, J., “Industrial dynamics simulation models in the design of supply chains” International Journal of Physical Distribution and Logistics Management, Vol. 22, pp. 3-13, 1992
51. Towill, D. R., “Industrial dynamics modeling of supply chains”, International Journal of Physical Distribution and Logistics Management, Vol. 26, pp. 23-42, 1996
52. Turney, P. B., “What Is the Scope of Activity Based Costing”, Journal of Cost Management, Vol. 3, pp. 40-42. 1990
53. Turney, P. B., “Common Cents: The ABC Performance Breakthrough”, Cost Technology, Portland, Oregon, 1992
54. Vollmann TE, Berry WL and Whybark DC. “Manufacturing Planning and Control Systems”, 4th ed. Irwin/McGraw- Hill, New York, 1997
55. Wooldridge, M. J., “An Introduction to Multi-Agent Systems”, Wiley, Chichester, UK, 2002

指導教授

高信培(Hsing-Pei Kao)

審核日期

2005-7-5

推文