第五章 結論與建議
5.2 未來研究建議
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5.2 未來研究建議
本研究礙於資源、時間以及能力有限，研究內容上有些許的不足與遺憾，盼 後續學者繼續深入研究。最後關於後續研究的建議如下：
一、 增加其模擬風險因子的複雜度，例如同時出現兩個或是多個風險因子 的情況，本研究是針對出現單一風險因子的情況，故未來研究方向可 以考慮同一時間出現一個以上的風險因子情況。
二、 設計多個模擬的情況，本研究是建立單一的模擬情境，並輸入蒐集而 來的供應鏈風險管理策略觀察其影響，但是畢竟是單一情況，未來的 研究方向可以針對多個模擬情況並可以驗證其風險之間的關係。
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1. Al-Refaie A, Al-Tahat M, and Jalham I, “A System Dynamics Approach to Reduce Total Inventory Cost in an Airline Fueling system”, Processgings of the World Congress on Engineering 2010 (WCE 2010), Vol. 1, 2010.
2. Alinovi Alberto, Eleonora Bottani and Roberto Montanari, “Reverse Logistics: a stochastic EOQ-based inventory control model for mixed
manufacturing/remanufacturing systems with return policies”, International Journal of Production Research, Vol. 50, No. 5, 2012, pp. 1243 - 1264.
3. Arianna Alfieri, Tullio Tolio, and Marcello Urgo, “A project scheduling approach to production planning with feeding precedence relations”, International Journal of Production Research, Vol. 49, No 4, 2011 , pp. 995 - 1020.
4. Autry Chad W., Patricia J. Daugherty, and R. Glenn Richey, “The challenge of reverse logistics in catalog retailing”, International Journal of Physical
Distribution & Logistics Management, Vol. 31, No. 1, 2001, pp. 26 – 37.
5. Bernon Michael, Silvia Rossi, and John Cullen, “Retail reverse logistics: a call and grounding framework for research”, International Journal of Physical Distribution & Logistics Management, Vol. 41, No. 5, 2011, pp. 484 – 510.
6. Bhatnagar Rohit, and S. Viswanathan, “Re-engineering global supply chains:
Alliances between manufacturing firms and global logistics services providers”, International Journal of Physical Distribution & Logistics Management, Vol. 30, No. 1, 2000, pp. 13 – 34.
7. Blos Mauricio F., Mohammed Quaddus, H.M. Wee, and Kenji Watanabe, “Supply chain risk management (SCRM): a case study on the automotive and electronic industries in Brazil”, Supply Chain Management: An International Journal, Vol.
14, N0. 4, 2009, pp. 247 – 252.
8. Chen, Yu-Chin, and Woo-Tsong Lin, “The Research on Developing a Risk
Assessment Model - Using Information and Electronics Industry as an Example”, Proceedings of the 3rd Annual International Conference on Innovation and Entrepreneurship (IE 2013), GSTF（Global Science and Technology Forum）.
9. Chopra Sunil, Gilles Reinhardt, and Usha Mohan, “The importance of decoupling recurrent and disruption risks in a supply chain”, Naval Research Logistics, Vol.
54, No. 5, 2007, pp. 544 – 555.
10. Chuu Shian-Jong, “Evaluating manufacturing flexibility using fuzzy multiple attribute decision making”, Journal of the Chinese Institute of Industrial Engineers, Vol. 21, No. 6, 2004, pp. 576 - 586.
11. Colicchia Claudia, and Fernanda Strozzi, “Supply chain risk management: a new
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methodology for a systematic literature review”, Supply Chain Management: An International Journal, Vol. 17, N0. 4, 2012, pp. 403 – 418.
12. Craighead Christopher W., Jennifer Blackhurst, M. Johnny Rungtusanatham, and Robert B. Handfeield, “The severity of supply chain disruptions: design
characteristics and mitigation capabilities”, Emerald Management Reviews, Vol.
38, No. 1, 2007, pp.131 – 156.
13. Das Kanchan, “Integrating effective flexibility measures into a strategic supply chain planning model”, European Journal of Operational Research, Vol. 211, No.
1, 2011, pp. 170 – 183.
14. Elangovan D., G. Sundararaj, S.R. Devadasan, and P. Karuppuswamy,
“Development of futuristic supply chain risk management pilot strategies for achieving loss reduction in manufacturing organisations”, World Journal of Entrepreneurship, Management and Sustainable Development, Vol. 6, No. 1/2, 2010, pp. 39 – 51.
15. Eric P. Jack, Thomas L. Powers, and Lauren Skinner, “Reverse logistics capabilities: antecedents and cost savings”, International Journal of Physical Distribution & Logistics Management, Vol. 40, No. 3, 2010, pp. 228 – 246.
16. Flygansvæ r Bente M., Lars-Erik Gadde, and Sven A. Haugland, “Coordinated action in reverse distribution systems”, International Journal of Physical Distribution & Logistics Management, Vol. 38, No. 1, 2008, pp. 5 – 20.
17. Forslund Helena, “Performance management in supply chains: logistics service providers' perspective”, International Journal of Physical Distribution & Logistics Management, Vol. 42. No. 3, 2012, pp. 296 – 311.
18. Gaudenzi Barbara, and Antonio Borghesi, “Managing risks in the supply chain using the AHP method”, International Journal of Logistics Management, Vol. 17, No. 1, 2006, pp: 114 – 136.
19. Gobbi Chiara, “Designing the reverse supply chain: the impact of the product residual value”, International Journal of Physical Distribution & Logistics Management, Vol. 41, No. 8, 2011, pp. 768 – 796.
20. Haksöz Ç, and S Seshadri, “Supply chain operations in the presence of a spot market: a review with discussion”, Journal of the Operational Research Society , Vol. 58, 2007, pp. 1412 – 1429.
21. Hallikas Jukka, Iris Karvonen, Urho Pulkkinen, Veli-Matti Virolainen, and Markku Tuominen, “Risk management processes in supplier networks”,
International Journal of Production Economics, Vol. 90, No. 1, 2004, pp. 47 – 58.
22. Hallikas Jukka, Veli-Matti Virolainen, and Markku Tuominen, “Risk analysis and assessment in network environments: A dyadic case study”, International Journal of Production Economics, Vol. 78, No. 1, 2002, pp. 45 – 55.
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23. Hazen Benjamin T., Dianne J. Hall, and Joe B. Hanna, “Reverse logistics disposition decision-making: Developing a decision framework via content
analysis”, International Journal of Physical Distribution & Logistics Management, Vol. 42, No. 3, 2012, pp. 244 – 274.
24. J-M Chen, and C-I Chang, “The economics of a closed-loop supply chain with remanufacturing”, Journal of the Operational Research Society, Vol. 63, No. 10, 2012, pp. 1323 - 1335.
25. Jing Sun, Masayuki Matsui, and Yong Yin, “Supplier risk management: An economic model of P-chart considered due-date and quality risks”, International Journal of Production Economics, Vol. 139, No. 1, 2012, pp. 58 – 64.
26. Józefowska J. , and A. Zimniakm, “Optimization tool for short-term production planning and scheduling”, International Journal of Production Economics, Vol.
112, No 1, 2008, pp. 109 – 120.
27. Juttner, U., “Supply chain risk management understanding the business requirements from a practitioner perspective,” The International Journal of Logistics Management, Vol. 16, No. 1, 2005, pp.120-141.
28. Jüttner Uta, and Stan Maklan, “Supply chain resilience in the global financial crisis: an empirical study”, Supply Chain Management: An International Journal, Vol. 16, No. 4, 2011, pp. 246 – 259.
29. Kang S.G., and S.H. Choi, “Multi-agent based beam search for intelligent production planning and scheduling”, International Journal Of Production Research, Vol. 48, No. 11, 2010, pp. 3319 - 3353.
30. Karimi M. Nasab, and I. Konstantaras, “An inventory control model with
stochastic review interval and special sale offer”, European Journal of Operational Research, Vol. 227, No. 1, 2013, pp. 81 – 87.
31. Kim Kibum, Iksoo Song, Juyong Kim, and Bongju Jeong, “Supply planning model for remanufacturing system in reverse logistics environment”, Computers
& Industrial Engineering, Vol. 51, No 2, 2006, pp. 279 – 287.
32. Kleindorer Paul R., and Germaine H. Saad, “Managing Disruption Risks in
Supply Chains”, Production and Operations Management, Vol. 14, No. 1, 2005, pp.
53 –68.
33. Ku Cheng-Yuan, Ching-Ter Chang, and Hui-Ping Ho, “Global supplier selection using fuzzy analytic hierarchy process and fuzzy goal programming”, Quality &
Quantity, Vol. 44, No. 4, 2010, pp. 623 – 640.
34. Kumar Sameer, Patrick Zampogna, and Jennifer Nansen, “A closed loop outsourcing decision model for developing effective manufacturing strategy”, International Journal of Production Research, Vol. 48, No. 7, 2010, pp. 1873 - 1900.
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35. Kumar Vishwa V, and Felix T.S. Chan, “A superiority search and optimisation algorithm to solve RFID and an environmental factor embedded closed loop logistics model”, International Journal of Production Research, Vol. 49, No. 16, 2011, pp. 4807 - 4831.
36. Law Averill M. , and W. David Kelton, “Simulation modeling and analysis 3E”, 2000.
37. Lee Jinpyo, “Dynamic pricing inventory control under fixed cost and lost sales”, Applied Mathematical Modelling, Vol. 38, No. 2, 2014, pp. 712 – 721.
38. Lee Jun-Ho, Sun Hoon Kim, and Young Hoon Lee, “Discrete lot sizing and scheduling problem under batch processing constraints in the semiconductor manfacturing”, The International Journal of Advanced Manufacturing Technology, Vol. 69, No. 1-4, 2013, pp. 383-396.
39. Lei Dong, Jianbin Li, and Zhixue Liu, “Supply chain contracts under demand and cost disruptions with asymmetric information”, International Journal of
Production Economics, Vol. 139, No. 1, 2012, pp. 116 – 126.
40. Li Zukui, and Marianthi G. Ierapetritou, “Integrated production planning and scheduling using a decomposition framework”, Chemical Engineering Science, Vol. 64, No. 16, 2009, pp. 3585 – 3597.
41. Ling La, Qin Su, and Xu Chen, “Ensuring supply chain quality performance through applying the SCOR model”, International Journal of Production Research, Vol. 49, No. 1, 2011, pp. 33 – 57.
42. Liu Yi-Hung, Han-Pang Huang, and Yu-Sheng Lin, “Attribute selection for the scheduling of flexible manufacturing systems based on fuzzy set-theoretic approach and genetic algorithm”, Journal of the Chinese Institute of Industrial Engineers, Vol. 22, No. 1, 2005, pp. 46 – 55.
43. Magableh Ghazi M, “A Dynamic Replenishment System for Integrating Supply Chain functions”, Maritime Economics & Logistics, Vol. 9, 2007, pp. 52 – 66.
44. Manuj, I. and Mentzer, J. T., “Global supply chain risk management”, Journal of Business Logistics, Vol. 29, No. 1, 2008, pp. 133-155.
45. Manuj, I. and Mentzer, J. T., “Global supply chain risk management strategies”, International Journal of Physical Distribution and Logistics Management, Vol. 38, No. 3, 2008, pp.192-223.
46. Mukhopadhyay Samar K., and Robert Setoputro, “Reverse logistics in e-business:
Optimal price and return policy”, International Journal of Physical Distribution &
Logistics Management, Vol. 34, No. 1, 2004, pp. 70 – 89.
47. Mukhopadhyay Samar K., and Robert Setaputra, “The role of 4PL as the reverse logistics integrator: Optimal pricing and return policies”, International Journal of Physical Distribution & Logistics Management, Vol. 36, No. 9, 2006, pp. 716 –
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48. Mukhopadhyay Samar K., and Robert Setaputra, “Return policy in product reuse under uncertainty”, International Journal of Production Research, Vol. 49, No. 17, 2011, pp. 5317 - 5332.
49. Nenes George, Sofia Panagiotidou, and Rommert Dekker, “Inventory control policies for inspection and remanufacturing of returns: a case study”, International Journal of Production Economics, Vol. 125, No. 2, 2010, pp. 300 – 312.
50. Nicola Costantino, and Roberta Pellegrino, “Choosing between single and multiple sourcing based on supplier default risk”, Journal of Purchasing and Supply Management, Vol. 16, No. 1, 2010, pp. 27 – 40.
51. Panayides Photis M, “Maritime Logistics and Global Supply Chains: Towards a Research Agenda”, Maritime Economics & Logistics, Vol. 8, 2006, pp.3 – 18.
52. Pang Zhan, “Optimal dynamic pricing and inventory control with stock
deterioration and partial backordering”, Operations Research Letters, Vol. 39, No.
5, 2011, pp. 375 – 379.
53. Petrovic Radivoj, and Dobrila Petrovic, “Multi criteria ranking of inventory replenishment policies in the presence of uncertainty in customer demand”, International Journal of Production Economics, Vol. 71, No. 1–3, 2001, pp. 439 – 446.
54. Qi Xiangtong, Jonathan F. Bard, and Gang Yu, “Supply chain coordination with demand disruptions”, Omega, Vol. 32, No. 4, 2004, pp. 301 – 312.
55. Qiaolun Gu, Ji Jianhua, and Gao Tiegang, “Pricing decisions for reverse supply chains”, Kybernetes, Vol. 40, No. 5/6, 2011, pp. 831 – 841.
56. Robert R. Meyer, Michael H. Rothkopf, and Stephen A.Smith, “Reliability and inventory in a production-storage system”, Management Science, Vol. 25, No. 8, 1979, pp. 799 – 807.
57. Sachan Amit, and Subhash Datta, “Review of supply chain management and logistics research”, International Journal of Physical Distribution & Logistics Management, Vol. 35, No. 9, 2005, pp. 664 – 705.
58. Salema MI, APB Póvoa, and AQ Novais, “A warehouse-based design model for reverse logistics”, Journal of the Operational Research Society, Vol. 57, No. 6, 2006, pp.615 – 629.
59. Sawik Tadeusz, “Selection of resilient supply portfolio under disruption risks”, Omega, Vol. 41, No. 2, 2013, pp. 259 – 269.
60. Schmitt Amanda J., and Lawrence V. Snyder, “Infinite horizon model for inventory control under yield uncertainty and disruptions”, Computers &
Operations Research, Vol. 39, No. 4, 2012, pp. 850 – 862.
61. Schmitt Amanda J., Mahender Singh, “A quantitative analysis of disruption risk in
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a multi-echelon supply chain”, International Journal of Production Economics, Vol.
139, No. 1, 2012, pp. 22 – 32.
62. Shi Y, F Wu, L K Chu, D Sculli, and Y H Xu, “A portfolio approach to managing procurement risk using multi-stage stochastic programming”, Journal of the Operational Research Society, Vol. 62, 2011, pp. 1958 – 1970.
63. Skinner Lauren R., Paul T. Bryant, and R. Glenn Richey, “Examining the impact of reverse logistics disposition strategies”, International Journal of Physical Distribution & Logistics Management, Vol. 38, No. 7, 2008, pp. 518 – 539.
64. Snyder Lawrence V., “A tight approximation for a continuous-review inventory model with supplier disruptions”, P.C. Rossin College of Engineering and Applied Sciences, Lehigh University, 2006.
65. Stecke Kathryn E., and Sanjay Kumar, “Sources of Supply Chain Disruptions, Factors That Breed Vulnerability, and Mitigating Strategies”, Journal of Marketing Channels, Vol. 16, No. 3, 2009, pp. 193 – 226.
66. Stefan E, R. Glenn Richey. Genchev, and Patricia J. Daugherty, “The role of resource commitment and innovation in reverse logistics performance”,
International Journal of Physical Distribution & Logistics Management, Vol. 35, No. 4, 2005, pp. 233 – 257.
67. Stevenson Mark, and Martin Spring, “Flexibility from a supply chain perspective:
definition and review”, International Journal of Operations & Production Management, Vol. 27, No. 7, 2007, pp. 685 – 713.
68. Sterman, J., Business Dynamic, New York, McGraw-Hill, 2000.
69. Srivastava Samir K., and Rajiv K. Srivastava, “Managing product returns for reverse logistics”, International Journal of Physical Distribution & Logistics Management, Vol. 36, No. 7, 2006, pp. 524 – 546.
70. Taj Shahram, Galia Novakova Nedeltcheva, George Pfeil and Michael Roumaya,
“A spread-sheet model for efficient production and scheduling of a manufacturing line cell”, International Journal of Production Research, Vol. 50, No 4, 2012, pp.
1141-1154.
71. Tang Christopher, “Robust strategies for mitigating supply chain disruptions”, International Journal of Logistics Research and Applications: A Leading Journal of Supply Chain Management, Vol. 9, No. 1, 2006, pp. 33 – 45.
72. Tang Christopher, and Brian Tomlin, “The power of flexibility for mitigating supply chain risks”, International Journal of Production Economics, Vol. 116, No.
1, 2008, pp. 12 - 27.
73. Teunter Ruud H., and Simme Douwe P. Flapper, “Optimal core acquisition and remanufacturing policies under uncertain core quality fractions”, European Journal of Operational Research, Vol. 210, No. 2, 2011, pp. 241 – 248.
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74. Timmer Judith, Michela Chessa, and Richard J. Boucherie, “Cooperation and game-theoretic cost allocation in stochastic inventory models with continuous review”, European Journal of Operational Research, Vol. 231, No. 3, 2013, pp.
567 – 576.
75. Tomlin Brian, “On the Value of Mitigation and Contingency Strategies for
Managing Supply Chain Disruption Risks”, Management Science, Vol. 52, No. 5, 2006, pp. 639-657.
76. Tomlin Brian, and Yimin Wang, “On the Value of Mix Flexibility and Dual Sourcing in Unreliable Newsvendor Networks”, Manufacturing & Service Operations Management, Vol. 7, No. 1, 2005, pp. 37 – 57.
77. Towill, D. R., “Industrial dynamics modeling of supply chains”, International Journal of Physical Distribution and Logistics, Vol. 26, No. 2, 1996, pp. 23 - 42.
78. Tse Ying Kei, and Kim Hua Tan, “Managing product quality risk in a multi-tier global supply chain”, International Journal of Production Research, Vol. 49, No.20, 2011, pp. 139 – 158.
79. Tse Ying Kei, and Kim Hua Tan, ” Managing product quality risk and visibility in multi-layer supply chain”, International Journal of Production Economics, Vol.
139, No. 1, 2012, pp. 49–57.
80. Tummala Rao, and Tobias Schoenherr, “Assessing and managing risks using the Supply Chain Risk Management Process (SCRMP)”, Supply Chain Management:
An International Journal, Vol. 16, No. 6, 2011, pp. 474 – 483.
81. Tuzkaya G., and B. Gülsün, “Evaluating centralized return centers in a reverse logistics network: An integrated fuzzy multi-criteria decision approach”,
International Journal of Environmental Science & Technology, Vol. 5, No. 3, 2008, pp. 339 – 352.
82. Vildan Ö zkır, and Hüseyin Başlıgıl, “Modelling product-recovery processes in closed-loop supply-chain network design”, International Journal of Production Research, Vol. 50, No. 8, 2012, pp. 2218-2233.
83. Wakolbinger T., and J.M. Cruz, “Supply chain disruption risk management through strategic information acquisition and sharing and risk-sharing contracts”, International Journal of Production Research, Vol. 49, No. 13, 2011, pp. 4063 - 4084.
84. Wang Jianqiang C., and Trevor Hastie, “Boosted varying-coefficient regression models for product demand prediction”, HP Laboratories, 2013.
85. XU Qi, “A replenishment strategy to support quick response on apparel supply chain”, Journal of Textile Research, Vol. 30, No. 12, 2009, pp. 129 – 133.
86. Yang Taho, and Jiunn-Chenn Lua, “The use of a multiple attribute
decision-making method and value stream mapping in solving the pacemaker
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location problem”, International Journal of Production Research, Vol. 49, No. 10, 2011, pp. 2793 - 2817.
87. Yoo Seung Ho, DaeSoo Kim, and Myung-Sub Park, “Economic production quantity model with imperfect-quality items, two-way imperfect inspection and sales return”, International Journal of Production Economics, Vol. 121, No. 1, 2009, pp. 255 – 265.
88. Yoo Seung Ho, DaeSoo Kim, and Myung-Sub Park, “Lot sizing and quality investment with quality cost analyses for imperfect production and inspection processes with commercial return”, International Journal of Production Economics, Vol. 140, No. 2, 2012, pp. 922 – 933.
89. Yoo Seung Ho, DaeSoo Kim, and Myung-Sub Park, “Inventory models for imperfect production and inspection processes with various inspection options under one-time and continuous improvement investment”, Computers &
Operations Research, Vol. 39, No. 9, 2012, pp. 2001 – 2015.
90. Yu Haisheng, Amy Z. Zeng, and Lindu Zhao, “Single or dual sourcing
decision-making in the presence of supply chain disruption risks”, Omega, Vol. 37, No. 4, 2009, pp. 788 - 800.
91. Yu Kangkang, Jack Cadeaux, and Hua Song, “Alternative forms of fit in distribution flexibility strategies”, International Journal of Operations &
Production Management, Vol. 32, No. 10, 2012, pp. 1199 - 1227.
中文部分
1. 洪維謙，民 95，逆向物流下供應鏈管理策略對成本之影響，國立政治大學資 訊管理研究所碩士論文。
2. 陳有慶，民 102，供應鏈風險評估模式建立之研究─以資訊電子產業為例，國 立政治大學資訊管理研究所碩士論文。