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姓名 林建賢(Chien-Hsien Lin) 查詢紙本館藏 畢業系所 工業管理研究所 論文名稱 設計一以 i-Hub 所整合之延展式供應鍊診斷預警系統
(Designing an Alert System for the i-Hub Integrated Extended Supply Chain)相關論文 檔案 [Endnote RIS 格式]
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摘要(中) 隨著資訊技術的進步以及越來越強烈的競爭，供應鍊整合已勢在必行。在供應鍊透過i-Hub整合成一體之後，首要之務即為提高整條鍊執行的效率。此次研究的目的就是設計一即時診斷預警系統來幫助延展式供應鍊來提高其執行時的效率。我們利用一工程上作可靠度分析的工具Multilevel Flow Model(MFM)，配合供應鍊的標準流程Supply Chain OPeration Reference Model(SCOR Model)兩大工具來設計此系統執行供應鍊上的所有活動的即時監控工作。當有無法預期的事件發生時，此系統會立刻診斷出整個延展式供應鍊哪裡出了問題，並將問題點加以彙整成為診斷報告以供i-Hub作顧客訂單履行規劃之用。 摘要(英) The realities of today’’s digital economy are requiring and enabling dramatically improved levels of supply chain efficiency and effectiveness. The Business-to-Business (B2B) or extended supply chain (ESC), enabled by Internet technologies, is specifically being offered as the next competitive weapon. As the ESC construct extends outward beyond the boundaries of individual companies through the use of digital technologies and integrating practices, the most important issue is about “information sharing” among the members of the chain.
Due to the advancement of information technology, it is foreseeable that information hub (i-Hub) will prevail in the extended supply chain performing the tasks of collaborative planning, monitoring, and control the supply chain operations. Since gaps may occur between planning and execution which need to be prudently monitored and controlled, an alert system embedded in i-Hub will provide this mechanism in real time.
A well-known engineering method - Multilevel Flow Model (MFM) is effective in controlling complex systems, such as nuclear power plant or cooling systems, to test the system safety and reliability. In this research, we apply MFM to design an alert system for i-Hub in monitoring the performance of ESC when unpredicted events occur. In addition, the emerging industrial standard Supply Chain Operation Reference (SCOR) Model is adopted to represent ESC activities. To demonstrate the proposed methodology, a case study is presented.關鍵字(中) ★ 延展式供應鍊
★ 診斷預警系統關鍵字(英) ★ Multilevel Flow Model
★ Alert System
★ information hub
★ Extended Supply Chain
★ Supply Chain Operation Reference Model論文目次 Table of Contents
Table of Contents iv
List of Figures vii
List of Tables x
Chapter I Introduction - 1 -
1.1 Motivation - 1 -
1.1.1 Problem Statement - 1 -
1.1.2 Reasons to Use MFM - 2 -
1.2 Background Overview - 3 -
1.3 Research Objectives - 5 -
1.4. Thesis Overview - 5 -
Chapter II Literature Review - 7 -
2.1 Extended Supply Chain - 7 -
2.2 Information Sharing - 10 -
2.2.2 Three Information Sharing Levels - 11 -
2.2.4 Information Sharing in Supply Chain - 14 -
2.2.5 Benefits of Information Sharing - 16 -
2.3 Ontology - 19 -
2.3.1 Introduce Ontology - 20 -
2.4 IDEF - 24 -
2.4.1 IDEF0 - 24 -
2.4.2 IDEF5 - 27 -
2.5 Supply Chain Operations Reference-Model - 29 -
2.5.1 Introduce SCOR - 29 -
2.5.2 Make-to-Order in SCOR - 33 -
2.5.2.1 Source Make-to-Order Product - 34 -
2.5.2.2 Make-to-Order - 37 -
2.5.2.3 Deliver Make-to-Order Product - 39 -
2.6 Supply Chain Event Management (SCEM) - 43 -
2.6.1 Definition of the SCEM - 43 -
2.6.2 SCEM Layers and Cycle - 43 -
2.7 Supply Chain Control - 46 -
Chapter III Overview of the Extended Supply Chain Environment and Multilevel Flow Model - 49 -
3.1 Supply Chain Ontology - 49 -
3.1.1 Study Supply Chain - 50 -
3.1.2 Identify and Specify Objects - 50 -
3.1.3 Identify and Classify Relations - 53 -
3.1.4 Refine and Validate Ontology - 53 -
3.2 Extended Supply Chain Ontology - 56 -
3.3 Infrastructure of Information Hub - 60 -
3.4 Multilevel Flow Model (MFM) - 62 -
3.4.1 Introduction of the Multilevel Flow Model - 62 -
3.4.2 Main Fields the Multilevel Flow Model Implement - 66 -
3.4.3 Other Fields the Multilevel Flow Model Implemented - Human Body - 69 -
3.4.4 Measurement Validation - 71 -
3.4.5 Apply MFM in Supply Chain - 73 -
Chapter IV Modeling of the MFM Alert System - 77 -
4.1 Construct SCOR Source MFM Model - 77 -
4.1.1 Construct Schedule Product Delivery MFM Model - 77 -
4.1.2 Construct Receive Product and Verify Product MFM Model - 78 -
4.1.3 Construct Transfer Product and Authorize Supplier Payment MFM Model - 79 -
4.2 Construct SCOR Make MFM Model - 81 -
4.2.1 Construct Schedule Production Activities MFM Model - 81 -
4.2.2 Construct Issue Product MFM Model - 82 -
4.2.4 Construct Package MFM Model - 84 -
4.2.5 Construct Stage Product MFM Model - 85 -
4.2.6 Construct Release Product to Order MFM Model - 86 -
4.3 Construct SCOR Delivery MFM Model - 87 -
4.3.1.1 Construct Process Inquiry & Quote MFM Model - 90 -
4.3.1.2 Construct Receive, Configure, Enter & Validate Order MFM Model - 91 -
4.3.1.3 Construct Reserve Resources & Determine Delivery Date MFM Model - 93 -
4.3.1.4 Construct Consolidate Order and Plan & Build Loads MFM Model - 95 -
4.3.1.5 Construct Route Shipment and Select Carriers & Rate Shipment MFM Model - 97 -
4.3.2 Construct the Second Part of SCOR Delivery Processes - 99 -
4.3.2.1 Construct Pick Staged Product MFM Model - 100 -
4.3.2.2 Construct Load Vehicle, Generate Ship Docs., Verify Credit & Ship Product MFM model - 101 -
4.3.3 Construct the Third Part of SCOR Delivery Processes - 102 -
4.3.3.1 Construct Receive & Verify Product at Customer Site MFM Model - 103 -
4.3.3.2 Construct Test & Install Product and invoice MFM Model - 105 -
4.4 Construct the Transaction Activities between Delivery and Source MFM Model - 108 -
4.5 Diagnosis of the SCOR MFM Model - 110 -
4.5.1 Example: Diagnosis of the SCOR Source Processes in MFM Model - 110 -
Chapter V Implementation of the MFM Alert System in Extended Supply Chain - 113 -
5.1 Case Description - 113 -
5.1.1 Background - 113 -
5.1.2 Scenario - 114 -
5.1.3 Construct the Extended Supply Chain in MFM Model - 115 -
5.1.4 Diagnosis of the Extended Supply Chain - 120 -
Chapter VI Conclusion & Recommendation - 127 -
6.1 Conclusion - 127 -
6.2 Recommendation - 129 -
Reference - 131 -
Appendix A.1 - 135 -
Appendix A.2 - 137 -
Appendix A.3 - 139 -
Appendix A.4 - 141 -
Appendix B - 143 -參考文獻 •Benjamin, P. C., et al, "Toward a Method for Acquiring CIM Ontologies." International Journal of Computer Integrated Manufacturing 8(3): 225-234, 1995
•Chandrasekaran, B. Josephson, J. R. and Benjamins, V. R., "What are Ontologies and Why Do We Need Them?," IEEE Intelligent Systems, Jan/Feb 1999, 14(1), pp. 20-26.
•Colquhoun, G. J., Baines, R. W. and Crossley, R., "A State of the Art Review of IDEF0." International Journal of Computer Integrated Manufacturing 6(4): 252-264, 1993
•Dedrick, J., Kraemer, K., Tsai, T. “ACER: AN IT COMPANY LEARNING TO USE INFORMATION TECHNOLOGY TO COMPLETE”, center for research on information technology and organization, 1999
•Ding, Y., “Ontology: The enabler for the Semantic Web”, Journal of Information Science, 27(6), (2001).
•Frank, G. , “Extended Enterprise Infrastructures”, 1(1): 4-18, march 2002; http://www.econ.kuleuven.ac.be/leerstoel/SAP/Fr/Papers.htm
•Fox, M.S., Gruninger, M., "On Ontologies and Enterprise Modelling", International Conference on Enterprise Integration Modelling Technology 97, Springer-Verlag. 1997
•Gruber, T.R.,”A translation approach to portable ontology specifications.”, Knowledge Acquisition, 5, 199-220, 1993
•Gruber, T. R., “Toward principles for the design of ontologies used for knowledge sharing.” IJHCS, 43(5/6): 907-928, 1994
•Gruber, T.R., “A translation approach to portable ontology specifications.” , Knowledge Acquisition, 5, 199-220, 1993
•Gruber. T. R., “Ontolingua: A mechanism to support portable ontologies.”, Technical Report KSL-91-66, Stanford University, Knowledge Systems Laboratory, 1992
•GoalSim, “Dynamic Simulation and Supply Chain Management”, Golder Associates Inc., December 2002
•Industry Direction, “Supply Chain Control: Proactive Operations Excellence, not APS”, Industry Directions Inc. 2002
•Knowledge Based System Laboratory, "IDEF 5 Method Report, " Knowledge Based Systems, Inc. 1408 University Drive East College Station, Texas 77840, 1994
•Larsson, J.E., “Diagnostic Reasoning Based on Means-End Models: Experiences and Future Prospects”, Knowledge-Based System Journal, vol.15, no. 1-2, 2002.
•Larsson, J. E., “Diagnosis Based on Explicit Means-End Models,” Artificial Intelligence, vol. 80, no. 1, pp. 29–93, 1996
•Lee, H.L., Padmanabhan V. and Whang S., “The bullwhip effect in supply chains”, Sloan Management Review, Vol. 38, pp.93-102., 1997
•Lee, H.L. and Whang S., “Information sharing in a supply chains”, Research paper series, Graduate school of business Stanford University., 1998
•Lee, H.L., Whang, S., "Information sharing in supply chain", International Journal of Technology Management, 20 (3/4), pp. 373-387, 2000
•Lin, F. R., Tan, G. W., and Shaw, M.J. “Modeling Supply-Chain Networks by a Multi-Agent System”, System Sciences, Volume: 5 , 6-9 Page(s): 105 -114 vol.5., 1998
•Lind, M., “Modeling Goals and Functions of Complex Industrial Plants,” Applied Artificial Intelligence, vol. 8, no. 2, pp. 259–283, 1994
•Larsson, J. E., B. Hayes-Roth, and D. M. Gaba, “Goals and Functions of the Human Body: An MFM Model for Fault Diagnosis,” IEEE Transactions on Systems, Man, and Cybernetics, vol. 27, no. 6, pp. 758–765, 1997 a
•Larsson, J. E... “A Toolbox for Fast Model-Based Diagnosis.” Knowledge Systems Laboratory, Technical report KSL-95-06, Stanford University, 1995b
•Larsson, J. E., “Diagnostic Reasoning Strategies for Means-End Models,” Automatica, vol. 30, no. 5, pp. 775-787, 1994
•Larsson, J. E. and Dahlstrand, F., “New Algorithms for MFM Alarm Analysis”, invited paper, Proceedings of the IEEE International Conference on System, Man, and Cybernetics, San Diego, California, 1998.
•McCormack, K., and Kasper, K., “The Extended Supply Chain: A Statistical Study”, DRK Research, December 1st, 2000
•Mayer, R. J., Ed., “IDEF0 Function Modeling - A Reconstruction of the Original Report”, College Station, TX, Knowledge-Based Systems, Inc., 1992
•Öhman, B., “Code Generation for Alarm Analysis with Multilevel Flow Models,” Proceedings of the Second International Symposium on Engineering of Intelligent Systems, EIS ’2000, Paisley, Scotland, 2000 a
•Öhman, B., “Alarm Analysis on Large Systems Using Multilevel Flow Models,” Proceedings of the IFAC Symposium on Artificial Intelligence in Real-Time Control, Budapest, AIRTC–2000, Hungary, 2000 b
•Öhman, B., “Failure Mode Analysis Using Multilevel Flow Models,” Proceedings of the 5th European Control Conference, Karlsruhe, Germany, 1998
•Presley, A.R., “A Representation Method to Support Enterprise Engineering,” Doctor Philosophy, the University of Texas at Arlington, 1997
•Stadtler, H. and Kilger, C., “Supply Chain Management and Advanced Planning Concept, Models, Software and Case Studies”, Berlin u.a.: Springer, 2000
•Sokol, P., “From EDI to Electronic Commerce”, McGraw-Hill Inc., 1995
•Simchi-Levi, D., Kaminsky, P., Simchi-Levi, E., Designing and Managing theSupply Chain: Concepts, Strategies, and Cases, McGraw-Hill, London, 1999
•Supply-Chain Council, “Supply-Chain Operations Reference-model: SCOR Version 5.0”, Supply-Chain Council, Inc., 2001
•Supply-Chain Council, “Supply-Chain Operations Reference-model: overview of SCOR Version 5.0”, Supply-Chain Council, Inc. 2002
•Softchain, “Improving Extended Supply Chain Performance”, Softchain, Inc., June 2002
•Togar, M. S. and Sridharan, R., “A Characterisation of Information Sharing in Supply Chain”, Massey University, New Zealand, 2001
•Karen, T., “E-Business & SCM Business & SCM”, Commerce 486C, 2002
•Viewlocity, “The New Extended Supply Chain Concept - Unleash the Potential of your Supply Network”, Viewlocity Whitepaper Series, 2001
•Viewlocity, “Bridge the Chasm Between Planning and Execution with Supply Chain Event Management”, Viewlocity Whitepaper Series, 2001
•Valdero, ”From Planning to Control: Improving The High-Tech Supply Chain”, Valdero Corporation, 2002
•Wondergem, J., Kraemer, K. L., Tsai, T., “Supply Chain Operation Reference-model Include all Elements of Demand Satisfaction”, Business Briefing: Global purchasing and supply chain strategy, 2001;www.industrydirections .com
•Zhenxin, Y., 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
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