| 研究生: |
林傑文 Chieh-Wen Lin |
|---|---|
| 論文名稱: |
應用認知工程配置延展式供應鍊 A Cognitive Engineering Approach to Configuring the Extended Supply Chain- An Implementation in the PC Industry |
| 指導教授: |
高信培
Hsing-Pei Kao |
| 口試委員: | |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 工業管理研究所 Graduate Institute of Industrial Management |
| 畢業學年度: | 92 |
| 語文別: | 英文 |
| 論文頁數: | 97 |
| 中文關鍵詞: | 供應鍊配置 、系統動態學 、延展式供應鍊 、認知工作分析 |
| 外文關鍵詞: | Multilevel Flow Model, Reliable, Controllable, Decision Ladder, Abstraction Hierarchy, System Dynamic, Extended supply chain, CWA |
| 相關次數: | 點閱:9 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 |
延展式供應鍊成員間的「資訊分享」是一項重要的課題,當吾人談論至此時,每一位成員需使用相同的「語言」。而在此之前,其必須先對於整個系統有著相同方式的認知。我們將會採用Cognitive Work Analysis(CWA)之前兩個階段-- Work Domain Analysis與Control Task Analysis—以達到此一目標。之後,我們將著重在「供應鍊配置」此一主要問題上。
我們視延展式供應鍊為單一系統,我們試著發展一個方法論,能夠確保這樣的系統運作是可信賴及可控制的,然而當系統越趨複雜,越難以認知、了解隱藏於系統的知識與資訊處理的過程,所以我們應用了CWA中的Abstraction Hierarchy (AH) 與Decision Ladder (DL)以挖掘其中的知識與與資訊處理過程,當延展式供應鍊之組成改變時,應用系統動態學探討整個延展式供應鍊之長期因果關係,MFM用於系統之短期監控。藉由組合此四項方法,我們嘗試發展一項包含三層檢驗門檻之方法,其可用於檢驗當外在環境改變時(例如,供應商之選擇、顧客偏好、產品選擇),整個供應鍊是否為可運作;是否可信賴;以及其是否可控制。
“Information sharing” between the members of Extended Supply Chain is an important issue. When we talk about it, each member must use the same “language”. Before that, they should cognize the whole system with the same way first. We will apply the first two phases of the CWA (Cognitive Work Analysis) -- Work Domain Analysis and Control Task Analysis -- to achieve this objective. Then, we will focus the main issue on "supply chain configuration".
We look the extended supply chain as a system, and try to develop a methodology, which make this system to be reliable and controllable. It’s difficult to understand and recognize the states of knowledge and the information processes of a system when the system is getting to complexity. Because of this reason, we use the methodologies, AH & DL, which extensively implemented in computer-based work in complex socio-technical system to grub the knowledge and the information processes in the system. Apply system dynamics (SD) to investigate the long-term causality of the ESC when the constitution of ESC changes. The MFM is used for short-term monitoring. By combining the four methods, we try to develop an approach which could provide the three levels of threshold to examine that if the supply chain is workable, reliable, and controllable when the environment of the supply chain changes (e.g., vendor choice, customer preferences, product choice).
Reference
1. Jerry Lin,「設計一以i-Hub所整合之延展式供應鍊診斷預警系統」,碩士論文,中央大學工業管理研究所,2003年。
2. Angerhofer, B. J., and Angelides, M. C., “System Dynamics Modelling in Supply Chain Management: Research Review”, Proceedings of the 2000 Winter Simulation Conference
3. Beamon, B. M., “Supply Chain Design and Analysis: Models and Methods”, Vol. 55, No. 3, pp. 281-294, 1998
4. Bruce A. Chalmers, Robert D.G. Webb, and Roy Keeble, “Cognitive Work Analysis Modeling for Tactical Decision Support” http://www.dodccrp.org, 2001
5. Card, S. K.,Moran, T.P., and Newell, The psychology of human-computer interaction. Hillsdale, NJ: Lawrence Erlbaum Associates.
6. Charles H. Fine, Roger Vardan, Robert Pethick and Jamal El-Hout, “Rapid-Response Capability in Value-Chain Design”, Sloan Management Review, pp. 69-75, Winter 2002
7. Cohen, M. A. and H. L. Lee, “Strategic Analysis of Integrated Production Distribution System: Models and Methods”, Operations Research 36(2): 216-228, 1988
8. Cohen, M. A. and H. L. Lee, “Resource Deployment Analysis of Global manufacturing and Distribution Networks”, Journal of Manufacturing and Operations Management 2(2): 81-104, 1989
9. Craig W. Kirkwood, ”System Dynamics Methods: A Quick Introduction”, 1998; http://www.public.asu.edu/~kirkwood/sysdyn/SDRes.htm
10. Dal Vernon C. Reising, and Penelope M. Sanderson, “Work domain analysis and sensors II: Pasteurizer II case study” Int. J. Human-Computer Studies 2002 56, pp.597–637
11. Denise Emerson and Selwyn Piramuthu, “Agent-Based Framework for Dynamic Supply Chain Configuration”, Proceedings of the 37th Hawaii International Conference on System Sciences, 2004
12. Forrester, J. W., “Industrial Dynamics: A Major Breakthrough for Decision Makers,” Harvard Business Review, vol.36, no.4, pp.37-66, 1958
13. Forrester, J. W., “Industrial Dynamics”, The MIT Press, Cambridge, Massachusetts,1961
14. Frank Lui, “Mapping Cognitive Work Analysis (CWA) To An Intelligent Agents Software Architecture: Command Agents”, Defence Human Factors Special Interest Group, 2002.
15. Gene Bellinger, “Mental Model Musings”;
http://www.systems-thinking.org/welcome.htm
16. Higgins, P. G., “A Formal Method for Analysing Field Data and Setting the Design Requirements for Scheduling Tools”, Human-Centred Computing: Cognitive, Social and Ergonomic Aspects. Volume 3 of the Proceedings of HCI International 2003, June 22 - 27, 2003, Heraklion, Crete. Lawrence Erlbaum Associates, pp. 457-461,2003.
17. Jack, G. A. J., V. D. Vorst, A. J. M. Beulens and P. V. Beek, “Modeling and simulating multi-echelon food systems”, European Journal of Operational Research, 122, 354.366, 2000.
18. Kleindorfer, P. R., and Snir, E. M., “Environmental Information in Supply-Chain Design and Coordination”, 2001
19. Kirkwood, C. W., “System Dynamics Methods: A Quick Introduction”, 1998.
20. Lane, D. C., “Invited Review and Reappraisal: Industrial Dynamics”, Journal of the Operational Research Society, vol.48, p.1037-1042, 1997
21. Larsson, J.E., “Diagnostic Reasoning Based on Means-End Models: Experiences and Future Prospects”, Knowledge-Based System Journal, vol.15, no. 1-2, 2002.
22. Lee, H.L. and Whang S., “Information sharing in a supply chains”, Research paper series, Graduate school of business Stanford University., 1998
23. Lambert, D.M., Cooper, M.C. and Pagh, J.D., “Supply Chain Management: Implementation Issues and Research Opportunities”, International Journal of Logistics Management, Vol. 9, No. 2, pp. 1 – 19, 1998
24. Lee, H. L. and C. Billington, “The Evolution of Supply Chain Management Models and Practice at Hewlett-Packard”, Interfaces 25(5): 42-63, 1995
25. Lind, M., “Modeling Goals and Functions of Complex Industrial Plants,” Applied Artificial Intelligence, vol. 8, no. 2, pp. 259–283, 1994
26. Masud Arjmand and Stuart Roach, “Creating Greater Customer Value by Synchronizing the Supply Chain”, Ascet Volume 1, 1999; http://www.ascet.com
27. Mahendrawathi Er and Bart MacCarthy, “Configuration of International Supply Networks and their Operational Implications: Evidences from Manufacturing Companies in Indonesia”, The 7th Annual International Manufacturing Symposium, 12th-13th September 2002
28. McCormack, K. and Kasper, K., “The Extended Supply Chain: A Statistical Study”, DRK Research, December 1st, 2000
29. Moray, N. and Huey, B., “Human factors research and nuclear safety”, Washington, DC: National Research Council, National Academy of Sciences, 1988
30. Neelam Naikar and Alyson Saunders, “Crossing the Boundaries of Safe Operation: Training for Error Detection and Error Recovery” 21st European Annual Conference on Human Decision Making and Control, pp. 8-15 2002
31. Öhman, B., "Discrete Sensor Validation with Multilevel Flow Models," IEEE Intelligent Systems, vol. 17, no. 3, pp. 55-61, May/June 2002.
32. Öhman, B., “Failure Mode Analysis Using Multilevel Flow Models,” Proceedings of the 5th European Control Conference, Karlsruhe, Germany, 1999
33. Penelope, S., Marcus, W., and Janet, W., “Intelligent Command Agents for Command and Control Simulations using Cognitive Work Analysis and Machine Learning”
34. Prater, E., Biehl, M. and Smith, M. A., “International Supply Chain Agility: Tradeoffs between Flexibility and Uncertainty”, International Journal of Operations and Production Management, Vol. 21, No. 5/6, pp. 823-839, 2001
35. Saraoglu, H., Yobaccio, E., and Louton, D., “Teaching Dynamic Processes in Finance: How Can We Prepare Students for an Age of Rapid and Continual Change”, Fall/Winter 2000
36. Stewart, G., “Supply Chain Operations Reference Model (SCOR): the First Cross-industry Framework for Integrated Supply Chain Management”, Logistics Information Management, Vol. 10, No. 2, pp. 62 -67, 1997
37. Supply-Chain Council, “Supply-Chain Operations Reference-model: SCOR Version 6.0”, Supply-Chain Council, Inc., 2003
38. Togar M. Simatupang and R. Sridharan, “A Characterisation of Information Sharing in Supply Chains”, Proceedings of the 36th Annual ORSNZ Conference, 16-25, Canterbury, New Zealand, November 2001
39. Togar M. Simatupang and R. Sridharan, “The Collaborative Supply Chain: A Scheme for Information Sharing and Incentive Alignment”, The International Journal of Logistics Management, Vol. 13, No. 1, pp. 15-30, 2002
40. Tu Hoang Truong and Farhad Azadivar, “Simulation Based Optimization for Supply Chain Configuration Design”, Proceedings of the 2003 Winter Simulation Conference, 2003
41. Viewlocity, “The New Extended Supply Chain Concept - Unleash the Potential of your Supply Network”, Viewlocity Whitepaper Series, 2001
42. Viewlocity, “Bridge the Chasm Between Planning and Execution with Supply Chain Event Management”, Viewlocity Whitepaper Series, 2001
43. Vicente, K.J., Cognitive Work Analysis: Towards Safe, Productive, and Healthy Computer-Based Work. New Jersey: Lawrence Erlbaum Associates, 1999
44. Zhenxin, Yu, Hong, Y. and Cheng, T.C. Edwin., “Benefits of information sharing with supply chain partnerships”, Industrial Management & Data Systems, 101/3, pp. 114.119, 2001