博碩士論文 91426024 詳細資訊




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姓名 戴敬彧(Ching-Yu Tai)  查詢紙本館藏   畢業系所 工業管理研究所
論文名稱 應用認知工程配置延展式供應鍊 以CPU/Mainboard產業為例
(A Cognitive Engineering Approach to Configuring the Extended Supply Chain- An Implementation in the CPU/Mainboard Industry )
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摘要(中) 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,並嘗試發展一方法論,能夠確保這樣的系統運作是可預期的且穩定的,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;是否可預期;以及其是否為穩定的。
摘要(英) “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 anticipated and stable. 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, anticipated, and stable when the environment of the supply chain changes (e.g., vendor choice, customer preferences, product choice).
關鍵字(中) ★ 供應鍊配置
★ 系統動態學
★ 延展式供應鍊
★ 認知工作分析
關鍵字(英) ★ Extended Supply Chain
★ CWA
★ Abstraction Hierarchy
★ Decision Ladder
★ System Dynamic
★ Multilevel Flow Model
★ Supply Chain Configuration
論文目次 TABLE OF CONTENT
TABLE OF CONTENT I
List of Figures III
List of Tables V
Chapter I Introduction 1
1.1 Motivation 1
1.2 Background Overview 1
1.3 Research Objectives 3
1.4 Thesis Structure 3
Chapter II Literature Review 5
2.1 Extended Supply Chain 5
2.2 Information Sharing 7
2.2.1 Three Information Sharing Levels 7
2.2.2 Models of Information Sharing 9
2.2.3 Benefit of Information Sharing 10
2.3 Cognitive Work Analysis and Long-term Causality 10
2.3.1 Work Domain Analysis 11
2.3.2 Control Task Analysis 12
2.3.3 The Long-term Causality 13
2.4 Supply Chain Operations Reference-Model 16
2.4.1 Introduction of Supply-Chain Operations Reference-model (SCOR) 16
2.4.2 Scope 16
2.4.3 SCOR-model Structure 18
2.5 Supply Chain Configuration 21
2.5.1 The Overview of Supply Chain Configuration 21
2.5.2 Approaches of Supply configuration 23
2.5.2.1 Case Study 24
2.5.2.2 Models of Supply Chain Configuration 25
Chapter III Modeling Framework 27
3.1 Abstract Hierarchy and Decision Ladder 27
3.1.1 Introduction of Abstract Hierarchy and Decision Ladder 27
3.1.1.1Abstraction Hierarchy (AH) 27
3.1.1.2 Decision Ladder (DL) 29
3.1.2 Apply AH and DL in Supply Chain 32
3.1.2.1 Environment Description 32
3.1.2.2 Abstraction Hierarchy Applied in Supply Chain 33
3.1.2.3 Control Task Analysis by Decision Ladder 36
3.2 System Dynamics 43
3.2.1 Introduction of the System Dynamics 43
3.2.1.1Meanings of the SD Symbols 43
3.2.1.2 Advantages of SD 46
3.2.2 Main Implement Fields of SD 47
3.2.3 SD in Supply Chain based on AH & DL 48
3.3 Multilevel Flow Model (MFM) 49
3.3.1 Introduction of the Multilevel Flow Model 49
3.3.1.1 Meanings of the MFM Symbols 50
3.3.1.2 Relations: 52
3.3.1.3 Advantages of MFM Algorithms 53
3.3.2 Main Implement Fields of MFM 54
3.3.2.1 Example Description 54
3.3.2.2 MFM Model Construction 55
3.3.3 Apply MFM in Supply Chain 56
3.4 Implication for Supply Chain Configuration 58
3.4.1 Relationship between the Methodologies 58
Chapter IV Implementation of the Methodology 60
4.1 Case Description 60
4.1.1 Overview 60
4.1.2 Scenario 62
4.2 Conduct the CWA for the M network 63
4.2.1 Work Domain Analysis of the M network 63
4.2.2 Control Task Analysis of the M network 69
4.3 Construct the System Dynamic Model of the M network 78
4.4 Daily Monitoring the M network by Applying the MFM Model 80
Chapter V Conclusion and Recommendation 83
5.1 Conclusion 83
5.2 Recommendation 84
Reference 85
參考文獻 Reference
1. Jerry Lin, 2003, 設計一以i-Hub所整合之延展式供應鍊診斷預警系統,國立中央大學工業管理研究所碩士論文。
2. Angerhofer, B. J., and Angelides, M. C., (2000), “System Dynamics Modelling in Supply Chain Management: Research Review”, Proceedings of the 2000 Winter Simulation Conference
3. Arjmand, M., and Roach, S., (1999), “Creating Greater Customer Value by Synchronizing the Supply Chain”, Ascet ,1
4. Beamon, B. M., (1998), “Supply Chain Design and Analysis: Models and Methods,” International Journal of Production Economics, 55(3), 281-294
5. Card, S. K.,Moran, T.P., and Newell,(1983), The Psychology of Human-Computer Interaction, Hillsdale, NJ, Lawrence Erlbaum Associates
6. Cohen, M. A. and Lee, H. L., (1988), “Strategic Analysis of Integrated Production Distribution System: Models and Methods”, Operations Research 36(2), 216-228
7. Chalmers, B. A., Webb, R. D.G., and Keeble, Roy., (2001), “Cognitive Work Analysis Modeling for Tactical Decision Support, ” http://www.dodccrp.org/
8. Chin, M., Sanderson, P., and Watson, M., (1999), “Cognitive Work Analysis of the Command and Control Work Domain,” Proceedings of the 1999 Command and Control Research and Technology Symposium (CCRTS), 1, 233-24
9. Cohen, M. A., and Lee, H. L., (1989), “Resource Deployment Analysis of Global manufacturing and Distribution Networks,” Journal of Manufacturing and Operations Management, 2(2) ,81-104
10. Emerson, D., and Piramuthu, S., (2004), “Agent-Based Framework for Dynamic Supply Chain Configuration”, Proceedings of the 37th Hawaii International Conference on System Sciences
11. Er, M., and MacCarthy, B., (2002) “Configuration of International Supply Networks and their Operational Implications: Evidences from Manufacturing Companies in Indonesia”, The 7th Annual International Manufacturing Symposium
12. Fine, C. H., Vardan, R., Pethick, R., and El-Hout, J., (2002), “Rapid-Response Capability in Value-Chain Design”, MIT Sloan Management Review, 43(2), 69-75
13. Fisher, M.L., (1997), “What is the right supply chain for your product,” Harvard Business Review, 75(2), 105–116
14. Forrester, J. W., (1958), “Industrial Dynamics: A Major Breakthrough for Decision Makers,” Harvard Business Review, 36(4) , 37-66
15. Forrester, J. W., (1961), “Industrial Dynamics”, The MIT Press, Cambridge, Massachusetts
16. Forrester, J. W., (1968), “Principles of Systems”, The MIT Press, Cambridge, Massachusetts
17. Gene Bellinger, (2004), “Simulation” Gene Bellinger, OutSights, Inc
18. Higgins, P. G., (2003), “A Formal Method for Analysing Field Data and Setting the Design Requirements for Scheduling Tools,” Human-Centred Computing: Cognitive, Social and Ergonomic Aspects, 457-461
19. Jack, G. A. J., Vorst, V. D., Beulens, A. J. M., and Beek, P. V., (2000), “Modeling and Simulating Multi-Echelon Food Systems,” European Journal of Operational Research, 122, 354-366
20. Jamieson, G.A., and Vicente, K. J., (1998), “Modeling Techniques to Support Abnormal Situation Management in the Petrochemical Processing Industry,” In Proceedings of the Symposium on Industrial Engineering and Management, 249-256
21. Kirkwood, C. W., (1998), ”System Dynamics Methods: A Quick Introduction,” http://www.public.asu.edu/~kirkwood/sysdyn/SDRes.htm
22. Kleindorfer, P. R., and Snir, E. M., (2001), “Environmental Information in Supply-Chain Design and Coordination,” Information Systems and the Environment
23. Lambert, D.M., Cooper, M.C., and Pagh, J.D., (1998), “Supply Chain Management: Implementation Issues and Research Opportunities,” The International Journal of Logistics Management, 9(2), 1 – 19
24. Lane, D. C., (1997), “Invited Review and Reappraisal: Industrial Dynamics,” Journal of the Operational Research Society, 48, 1037-1042
25. Larsson, J.E., (2002), “Diagnostic Reasoning Based on Means-End Models: Experiences and Future Prospects,” Knowledge-Based System, 15(1/2), 103-110
26. Lee, H. L., and Billington, C., (1995), “The Evolution of Supply Chain Management Models and Practice at Hewlett-Packard”, Interfaces 25(5), 42-63
27. Lee, H. L., Padmanabhan, V., and Whang, S., (1997), “Information Distortion in a Supply Chain: The Bullwhip Effect,” Management Science, 43(4), 546-558
28. Lee, H.L. and Whang S., (1998), “Information Sharing in a Supply Chains,” Research Paper Series
29. Lee, H.L. and Amaral, J., (2002), “Continuous and stainable improvement through supply chain performance management,” Stanford Global Supply Chain Management Forum
30. Lind, M., (1994), “Modeling Goals and Functions of Complex Industrial Plants,” Applied Artificial Intelligence, 8(2), 259–283
31. Lui, F., (2002), “Mapping Cognitive Work Analysis (CWA) To An Intelligent Agents Software Architecture: Command Agents”, Proceedings of the Defence Human Factors Special Interest Group
32. McCormack, K., and Kasper, K., (2002), “The Extended Supply Chain: A Statistical Study,” Benchmarking: An International Journal, 9(2), 133-145
33. Moray, N.P., and Huey, M., (1988), “Human Factors Research and Nuclear Safety,” National Research Council, National Academy of Sciences, Washington, DC
34. Naikar, N., and Saunders, A., (2002), “Crossing the Boundaries of Safe Operation: Training for Error Detection and Error Recovery” Proceedings of the 21st European Conference on Human Decision Making and Control
35. Norman, D. A., (1981), “Steps Toward A Cognitive Engineering,” Technical Report, University of California at San Diego
36. Öhman, B., (1999), “Failure Mode Analysis Using Multilevel Flow Models,” Proceedings of the 5th European Control Conference
37. Öhman, B., (2002), "Discrete Sensor Validation with Multilevel Flow Models," IEEE Intelligent Systems, 17(3), 55-61
38. Prater, E., Biehl, M., and Smith, M. A., (2001), “International Supply Chain agility: Tradeoffs between Flexibility and Uncertainty,” International Journal of Operations and Production Management, 21(5/6), 823-839
39. Rao, V.R., (1993) “Pricing Decision Models in Marketing,” Handbooks in OR & MS, 5
40. Rasmussen, J., (1974), “The human data processor as a system component: Bits and pieces of a model, ” Danish Atomic Energy Commision
41. Rasmussen, J., (1976), “Outlines of a Hybrid Model of the Process Plant Operator,” Monitoring Behavior and Supervisory Control, 371-383
42. Rasmussen, J.,(1980), “The Human as a Systems Component,” Human Interation with computer, 67-96
43. Rasmussen, J., Pejtersen, A., and Goodstein, L. P.,(1994), Cognitive Systems Engineering, New York, Wiley
44. Reising, D. V. C., and Sanderson, P. M., (2002), “Work Domain Analysis and Sensors II: Pasteurizer II Case Study” International Journal Human-Computer Studies, 56, 597–637
45. Roth, E.M., Patterson, E.S., and Mumaw, R.J., (2002), “Cognitive Engineering: issues in User-Centered System Design,” Encyclopedia of Software Engineering, 2nd Edition, 163 - 179
46. Saraoglu, H., Louton, D., and Yobaccio, E., (2000). “Teaching Dynamic Processes in Finance: How Can We Prepare Students for an Age of Rapid and Continual Change”, Financial Practice and Education
47. Simatupang, T. M., and Sridharan, R., (2001), “A Characterisation of Information Sharing in Supply Chains”, Proceedings of the 36th Annual ORSNZ Conference, 16-25
48. Simatupang, T. M., and Sridharan, R., (2002), “The Collaborative Supply Chain: A Scheme for Information Sharing and Incentive Alignment”, The International Journal of Logistics Management, 13(1), 15-30
49. Stewart, G., (1997), “Supply-Chain Operations Reference Model (SCOR): the First Cross-Industry Framework for Integrated Supply Chain Management,” Logistics Information Management, 10(2), 62 -67
50. Supply-Chain Council, (2003), “Supply-Chain Operations Reference-model: SCOR Version 6.0”, Supply-Chain Council, Inc
51. Sweetser, P., Watson, M., and Wiles, J., (2003), “Intelligent Command Agents for Command and Control Simulations using Cognitive Work Analysis and Machine Learning,” http://www.itee.uq.edu.au
52. Truong, T. H., and Azadivar, F., (2003), “Simulation Based Optimization for Supply Chain Configuration Design,” Proceedings of the 2003 Winter Simulation Conference
53. Vicente, K.J., (1999), Cognitive Work Analysis: Towards Safe, Productive, and Healthy Computer-Based Work, New Jersey, Lawrence Erlbaum Associates
54. Viewlocity, (2001), “The New Extended Supply Chain Concept - Unleash the Potential of your Supply Network,” Viewlocity Whitepaper Series
55. Viewlocity, (2001), “Bridge the Chasm Between Planning and Execution with Supply Chain Event Management,” Viewlocity Whitepaper Series
56. Vorst, J. G. A. J. V.D., Beulens, A. J. M., and Beek, P. V. (2000), “Modeling and Simulating Multi-Echelon Food Systems,” European Journal of Operational Research, 122(2), 354-366
57. Yu, Z., Yan, H., and Cheng, T.C. E., (2001), “Benefits of Information Sharing with Supply Chain Partnerships”, Industrial Management & Data Systems, 101(3), 114-119
指導教授 高信培(Hsing-Pei Kao) 審核日期 2004-7-7
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