研究生: |
許菀庭 |
---|---|
論文名稱: |
強化SCOR為基之供應鏈分析與設計方法論 Enhance a SCOR-Based Methodology for Analyzing and Designing Supply Chain |
指導教授: | 林則孟 |
口試委員: | |
學位類別: |
碩士 Master |
系所名稱: |
工學院 - 工業工程與工程管理學系 Department of Industrial Engineering and Engineering Management |
論文出版年: | 2005 |
畢業學年度: | 93 |
語文別: | 中文 |
論文頁數: | 159 |
中文關鍵詞: | 供應鏈分析與設計 、SCOR 、供應鏈績效分析 |
相關次數: | 點閱:2 下載:0 |
分享至: |
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
本研究主要目的為加強以Supply Chain Operations Reference Model (SCOR Model)為基礎之供應鏈分析與設計方法論。
而SCOR Model是1996年由供應鏈協會(Supply Chain Council,SCC)所提出,該協會成立的目的即是發展一提供不同供應鏈角色間,如供應商、製造商、配銷商等,皆可參考的供應鏈模型表達方式,以幫助企業溝通、建立供應鏈的基本規範、分析與設計供應鏈之用。為了能幫助企業有效應用以SCOR為基之供應鏈分析與設計方法論於分析供應鏈,並改善供應鏈問題,本研究針對「強化SCOR為基之供應鏈分析與設計方法論」,提出以下三個加強方向:
1. 探討供應鏈績效之策略原由:過去以來,以SCOR為基之供應鏈分析與設計方法論中,績效指標的選擇,皆從供應鏈作業層次出發,此時之供應鏈改善,僅能達到局部較佳,未必能達到企業之總體較佳,但若能參考更高層次之「企業策略」,則可確保供應鏈分析與設計方向與企業策略方向一致,故本研究利用策略地圖做為媒介,將企業策略對應至SCOR定義之供應鏈績效指標,以確保供應鏈改善方向與企業策略相同。
2. 加強供應鏈設計結果呈現之深度:過去運用該方法論設計之To-Be結果,往往僅呈現至SCOR Level 2程度,對於欲將結果落實而言仍顯不足,故本研究參考Best Practice與SCOR Model 規格內容,往下對應出SCOR Level 3流程元素、相關資訊,以及必要之SCOR Level 4細部流程,協助落實To-Be設計。
3. 透過案例驗證證明方法論之可行性:本研究利用改善後之方法論實際應用於一紡織企業,不僅驗證方法論之可行性,同時也幫助該業者了解自身供應鏈、找出問題點以及To-Be設計方向,做為該業者設計To-Be供應鏈作業流程以及資訊系統建置時之參考。
1. 林則孟,系統模擬理論與應用,滄海書局,2001。
2. 蔡佳君,「以SCOR為基之供應鏈分析與設計方法論」,清華大學工業工程與工程管理研究所碩士論文,2004。
3. Abusuleiman, A. and Boardman, B., “A Framework for An Integrated Supply Chain Performance Management System”, University of Texas at Arlington, 2003.
4. Ayers, J. B., “Supply Chain Project Management-A Structure Collaborative and Measurable Approach”, CRC PRESS LLC, 2003.
5. Beamon, B. M., "Supply Chain Design Analysis Models and Method", International Journal of Production Economic, l55, pp. 281-294, 1998.
6. Beamon, B. M. "Measuring Supply Chain Performance", International Journal of Operations and Production Management, 19(3), pp. 275-292, 1999.
7. Bolstorff, P. and Rosenbaum, R., “Supply Chain Excellence: A Hand Book for Dramatic Improvement Using the SCOR Model”, AMACOM, 2003.
8. Brewer, P. and Speh, T., “Using the Balanced Scorecard to Measure Supply Chain Performance” Journal of Business Logistics, 22(1), pp.75-93, 2000.
9. CGI Group, “Supply Chain Management Performance Assessment: CGI’s Proven Approach to Measuring Supply Chain Success”, CGI Group Inc., 2004.
10. Dettmer, H. M., “Goldratt’s Theory of Constraints: A System Approach to Continuous Improvement,” ASQC Quality Press, 1997.
11. e-SCOR User’s Guide Version 4.0, Gensym Corporation, 2002
12. Gintic SCM Center, “Measuring Supply Chain Performance Using A SCOR-based Approach”, Gintic Institute of Manufacturing Technology, 2002.
13. Gunasekaran, A., Patel, C. and McGaughy, R. E., “A Framework for Supply chain Performance Measurement” International Journal of Production Economic, 87, pp.333-347, 2004.
14. Herrann, J. W., "Supply Chain Simulation Models for Evaluating the Impact of Rescheduling Frequencies" ISR., Master's Thesis, 2002.
15. Huan, S. H., Sheoran, S. K. and Wang, G.., “A Review and Analysis of Supply Chain Operations Reference (SCOR) Model” Supply Chain Management: A International Journal, 9(1), pp. 23-29, 2004.
16. Hwang, C. L. and Yoon, K., “Multiple Attribute Decision Making – Method and Applications”, Spring-Verlag, New York, 1981.
17. Hwang, C. L. and Yoon, K., “Multiple Attribute Decision Making – An Introduction”, Sage Publications Inc., Thousand Oaks, 1995.
18. Jayaratna, N., “Understanding and Evaluating Methodology”, London: McGraw Hill, 1994.
19. Kaplan, R. S. and Norton, D. P., “Strategy Maps: Converting Intangible Assets into Tangible Outcomes”, Harvard Business School Publishing Corporation, 2004.
20. Khoo, L. P. and Yin, X. F., “An Extended Graph-based Virtual Clustering-enhanced Approach to Supply Chain Optimization”, Springer-Verlag London limited, 2003.
21. Kasi, V., “Systemic Assessment of SCOR for Modeling Supply Chain”, Proceedings of 38th Hawaii International Conference System Sciences, 2005.
22. Lee, H. L. and Amaral, J., “Continuous and Sustainable Improvement Through Supply Chain Performance Management” Stanford Global Supply Chain Management Forum, 2002.
23. Lohman, C., Fortuin, L. and Wouters, M., “Design A Performance Management System: A Case Study”, European Journal of Operation Research, 156, pp. 267-286, 2004.
24. Meyr, H., “Supply Chain Planning in the German Automotive Industry”, OR Spectrum, 26, pp.447-470, 2004.
25. Naim, M. M., Barker, R. and Hongminh, S. M., “Terrain Scanning Methodology For Construction Supply Chains”, Working Paper, 1999.
26. Naim, M. M., Childerhouse, P., Disney, S. M. and Towill, D. R., “A Supply Chain Diagnostic Methodology:Determining The Vector of Change”, Computer and Industrial Engineering, 43, pp. 135-157, 2002.
27. Persson, F. and Olhager, J., “Performance Simulation of Supply Chain Design”, International Journal of Production Economic, 77, pp.231-245, 2002.
28. Pundoor, G. and Herrann, J. W., "A Hierarchical Approach to Supply Chain Simulation Modeling Using the Supply Chain Operations Reference Model”, University of Maryland, College Park, 2004.
29. Rahman, S., “The Theory of Constrains’ Thinking Process Approach to Developing Growth Strategies in Supply Chain”, Working Paper, 2002.
30. SAP Consult Group, “SAP SCM Business Assessment”, SAP, 2003.
31. SCOR v6.1 Overview, Supply Chain Council, 2004.
32. SCOR v7.0 Overview, Supply Chain Council, 2005.
33. SCOR-Wizard Quick Reference, ProcessWizard Limited, 2002.
34. Simchi-Levi, D. and Kaminsky, P., "Design and Managing the Supply Chain", McGraw Hill, 2003.
35. Smith, C. D.,” Supply Chain Processes”, Supply Chain Management, 2003.
36. Spille, J., “A SCOR Based Simulation Model to Analyze the Impact of Fluctuations in Demand on Supply Chains,” Master’s Thesis, Aachen University of Technology, Aachen, Germany, 2001.
37. Tanner, J. F. and Honeycutt, E. D., “Reengineering Using the Theory of Constrains: A Case Analysis of Moore Business Forums”, Industrial Marketing Management, 25, pp. 311-319, 1996.
38. Umeda, S. and Lee, Y. T., “Design Specifications of a Generic Supply Chain Simulator”, Proceeding of the 2004 Winter Simulation Conference, 2004.
39. Wang, H. F., “Multicriteria Decision Analysis: From Certainty to Uncertainty”,Tsang Hai Book Pulishing Co., 2004.
40. Yano, T. and Barrett, M., “A Case Report of Application to LCD Factory”, Supply Chain World Conference and Exposition, 1996.
41. Yonghui, F. and Rajesh, P., "Multi-agent Enabled Modeling and Simulation Towards Collaborative Inventory Management in Supply Chain", Proceeding of the 2000 Winter Simulation Conference, 2000.