需求的不確定性、快速變化的商業環境中與技術創新的高速度是製造企業的供應鏈風險的主要原因。因此，如何選擇最佳承受風險的廠區以及提供最適風險管理策略，以減輕需求不確定性所造成的供應鏈影響是許多跨國製造企業的共同問題。在此研究中，提出的概念風險管理計劃以整合風險識別和風險評估，接著在此基礎上，制定風險管理行動計畫的框架，建立了如何實現風險管理的行動計畫的詳細步驟。在本研究過程中採用兩種多屬性決策分析工具，即層次分析法（Analytic Hierarchy Analysis, AHP）和相似性理想解偏好排序技術（Technique for Order of Preference by Similarity to Ideal Solution, TOPSIS），進行各個廠區承受風險能力的評估與優先順序，同時確定出影響需求不確定的重要風險因素，用來以建立規避風險的供應鏈管理策略，為管理者提供策略方向和對策，以降低需求不確定性風險損害。

Demand uncertainty, rapid changes in the business environment, and high pace of technology innovation are the main causes of supply chain risk for manufacturing companies. Thus, selecting the optimal plants to mitigate the supply chain disruption caused by demand uncertainty is a common problem for many multinational manufacturing companies. In this study, a conceptual risk management plan is proposed to integrate risk identification and risk assessment. Then, a framework of the risk management action plan is developed and a detailed procedure of how to implement the risk management action plan is proposed. Two multi-attribute decision analysis tools, namely, analytic hierarchy process (AHP) and technique for order of preference by similarity to ideal solution (TOPSIS), are utilized to identify the risk factors and to determine the optimal plant for order fulfillment. Finally, strategic directions, actions, and necessary conditions that help advance effective mitigation practices are suggested. The developed approach is implemented in a multinational manufacturing company. The results of this study show that the proposed methodology helps supply chain planners understand the manner of evaluating the risk criteria for each manufacturing site and the problems that should be solved for risk management. By using appropriate tools and strategies for risk management, supply chain planners can turn demand uncertainty into value-added results for the corporation.

Acknowledgements……I
摘要…………………II
Abstract……………III
Table of Contents….V
List of Figures………VI
List of Tables………VII
Chapter 1: Introduction……….1
Chapter 2: Literature review….4
2.1 Supply chain risk management (SCRM)...4
2.2 Structure of supply chain risk management….6
2.3 AHP and TOPSIS……10
Chapter 3: Problem description…14
Chapter 4: Development of solution methodology…………17
4.1 Development of conceptual risk management plan……...17
4.2 Development of risk management action plan……….22
Chapter 5: Conclusions………..41
References………...43

Blackhurst, J.V. (2008), “Supplier risk assessment and monitoring for the automotive industry”, International Journal of Physical Distribution & Logistics Management, Vol. 38 No. 2, pp. 143–165.
Borghesi, A. and Gaudenzi, B. (2006), “Managing risks in the supply chain using the AHP method”, The International Journal of Logistics Management, Vol. 17 No. 1, pp. 114-136.
Brindley, C. (2004), Supply Chain Risk, Ashgate Publishing, Aldershot, United Kingdom.
Cavinato, J.L. (2004), “Supply chain logistics risks: From the back room to the board room”, International Journal of Physical Distribution & Logistics Management, Vol. 34 No. 5, pp. 383-387.
Christopher, M. and Lee, H. (2004), “Mitigating supply chain risk through improved confidence”, International Journal of Physical Distribution & Logistics Management, Vol. 34 No. 5, pp. 388-396.
Cohen, M.A. and Kunreuther, H. (2007), “Operations risk management: over view of Paul Kleindorfer’s contributions”, Production and Operations Management, Vol. 16 No. 5, pp. 525-541.
Faisal, M.N, Banwet, D.K., and Shankar. R. (2007), “Supply chain risk management in SMEs: Analyzing the barriers”, International Journal of Management and Enterprise Development, Vol. 4, pp. 588–607.
Handfield, R. and Nichols, E. (2002), Supply Chain Redesign, Prentice Hall, Upper Saddle River, NJ.
Kannan, D., Jabbour, A.B, and Jabbour, C.J. (2014), “Selecting green suppliers based on GSCM practices: Using fuzzy TOPSIS applied to a Brazilian electronics company”, European Journal of Operational Research, Vol. 233, pp. 432–447.
Keeney, R.L. (1992), Value-Focused Thinking: A Path to Creative Decision Making, Cambridge, MA: Harvard University Press.
Kleindorfer, P.R. and Saad, G.H. (2004), “Managing disruption risks in supply chains”, Production and Operations Management, Vol. 14, pp. 53–68.
Knemyer, A.M. (2008), “Proactive planning for catastrophic events in supply chains”, Journal of Operations Management, Vol. 27, pp. 141-153.
Kopczak, L. and Lee, H. (1993), Hewlett-Packard: Deskjet Printer Supply Chain, Report for Stanford Graduate School of Business Case.
Kumar, P. and Singh, R.K. (2012), "A fuzzy AHP and TOPSIS methodology to evaluate 3PL in a supply chain", Journal of Modelling in Management, Vol. 7 No. 3, pp. 287-303.
Manuj, I., and Mentzer, J. (2008), “Global supply chain risk management strategies”, International Journal of Physical Distribution & Logistic Management, Vol. 38 No. 3, pp. 192-223.
Neiger, D. (2009), “Supply chain risk identification with value-focused process engineering”, Journal of Operations Management, Vol. 27, pp. 154–168.
Neiger, D. and Churilov, L. (2004), Goal-Oriented and Business Process Modeling with EPCs and Value-Focused Thinking, Business Process Management 2004, Potsdam. Springer, Berlin, pp. 98–115.
Norrman, A. and Jansson, U. (2004), “Ericsson's proactive supply chain risk management approach after a serious sub-supplier accident”, International Journal of Physical Distribution & Logistics Management, Vol. 34 No. 5, pp. 434-456.
Olson, D.L. (2010), Enterprise Risk Management Models, Springer-Verlag Berlin Heidelberg.
Patil, S.K. and Kant, R. (2013), “A fuzzy AHP-TOPSIS framework for ranking the solution of knowledge management adaption in supply chain to overcome its barriers”, Expert System with Applications, Vol. 41, pp. 679-693.
Project Management Institute. (2008), A Guide to Project Management Body of Knowledge, 4th Edition, Published by Project Management Institute, Inc., Newtown Square, PA.
Ritchie, B. and Brindley, C. (2007), “An emergent framework for supply chain risk management and performance measures”, Journal of Operational Research Society, Vol. 58, pp.1398–1411.
Saaty, T.L. (1980), The Analytic Hierarchy Process, McGraw-Hill, New York, NY.
Sanchez-Rodrigues, V., Andrew, P., and Naim, M.M. (2010), “Evaluating the causes of in logistics operations”, International Journal of Physical Distribution & Logistics Management, Vol. 21 No. 1, pp. 45-64.
Shi, D. (2004), “A review of enterprise supply chain risk management”, Journal of Systems Science and Systems Engineering, Vol. 13, pp. 219–244.
Sitkin, S.B. and Pablo, A.L. (1992), “Reconceptualizing the determinants of risk behavior”, Academy of Management Review, Vol. 17 No. 1, pp. 9–38.
Sodhi, S.M. and Tang, S.T. (2012), Managing Supply Chain Risk, International Series in Operations Research & Management Science.
Stevenson, W.J. (2013), Operations Management, 11th edition, The McGraw-Hill Companies, Inc.
Tang, C.S. (2006), “Robust strategies for mitigating supply chain disruptions”, International Journal of Logistics Research Applications, Vol. 9 No. 3, pp. 33–45.
Tang, F.M. and Wang, S.Y. (2014), “An integrated model for analyzing the development of the 4G telecommunication market in Taiwan”, Telecommunication Policy, Vol. 38, pp. 14-31.
van der Vorst, J.G.A.J. and Beulens, A.J.M. (2002), “Identifying sources of uncertainty to generate supply chain redesign strategies”, International Journal of Physical Distribution & Logistics Management, Vol. 32 No. 6, pp. 409-430.
Wieland, A. and Wallenburg, C.M. (2012), “Dealing with supply chain risks: Linking risk management practices and strategies to performance”, International Journal of Physical Distribution & Logistics Management, Vol. 42 No. 10, pp. 887-905.
Wu, T. and Blackhurst, J. (2009), Managing Supply Chain Risk and Vulnerability,
Springer Science+Business Media, LLC.