政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/73240
English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 113451/144438 (79%)
Visitors : 51326844      Online Users : 944
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
    •  Adv. Search
    Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer Goto mobile version
    政大典藏 > College of Commerce > Department of MIS > Theses >  Item 140.119/73240


    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/73240


    Title: 供應鏈風險管理策略運用之研究
    The Research on Applying Risk Management Strategies in Supply Chains
    Authors: 吳昀峰
    Contributors: 林我聰
    吳昀峰
    Keywords: 供應鏈風險管理
    供應鏈風險評估模式
    供應鏈風險管理策略
    模擬
    supply chain risk management
    supply chain risk assessment model
    supply chain risk management strategy
    simulation
    Date: 2014
    Issue Date: 2015-02-03 10:18:35 (UTC+8)
    Abstract: 企業為有效提高生產效率、降低成本與找尋最佳解決方案，促成專業高效率、有彈性與低成本合作夥伴遍及全球各地的現象。而當前產業趨勢為專業化分工、企業全球化，此情況也使企業、顧客與供應商等合作夥伴形成關係極為複雜的全球化供應鏈網路，但伴隨而來是發生機率大幅提高之供應鏈風險等相關問題。2011年3月日本發生芮氏規模8.9地震，且併發如海嘯等災害造成日本企業減產停工、並出現供應鏈中斷的情況，使蘋果公司產品i-Devices、波音七八七客機、美國汽車廠商都受其影響。2011年7月泰國發生水災，除造成電腦產業硬碟短缺，亦造成相關電腦資訊產業鉅額損失。近年來關於供應鏈風險管理文獻研究也指出，全球化使供應鏈網路錯綜複雜，使供應鏈網路更容易受政治及經濟變化影響而出現混亂、崩潰，進而產生更大的風險。因此對企業而言供應鏈風險管理議題是非常重要的。有鑑於此，本研究將針對「如何有效減低供應鏈風險發生之衝擊」為主要議題進行研究。

    本研究使用陳有慶(2013)相互影響關聯之供應鏈風險因子表，且從文獻蒐集相關風險因子之供應鏈風險管理策略，並運用系統動態模擬方法(System Dynamics; SD)建立以SCOR流程模式為整體框架基礎架構的供應鏈風險管理策略評估模擬模式。藉由此模擬模式可評估測試供應鏈風險管理策略對不同風險因子的影響，驗證各策略降低風險的有效性，並觀察不同策略對各風險因子的控制及降低對供應鏈衝擊的效果，最後針對各風險因子策略彙整並分析出對應之最佳風險管理策略。
    To reduce cost, increase productivity enterprises, and find the best solution. Enterprises cooperate with professional efficiency, flexible, and low-cost partners all over the world. Industry specialization, corporate globalization is the current trend of the times. The phenomenon also contributed to the enterprise, customers and suppliers, and other partners to form a highly complex relationship between global supply chain networks, it is accompanied by the occurrence of risk related issues. The earthquake happened on Japan in March 2011, it caused related subsequent disaster also caused Japanese companies cut downtime or the disruption of supply chain situation. In recent years, research on risk management of the supply chain literature also prove that the globalization cause the supply chain network complexity, and it have a greater risk happen because of political and economic environment changes. Therefore this research concentrates on a topic: how to effectively mitigate risk impacts in supply chain.

    About the topic, the System Dynamics (SD) method and the risk factor framework of supply chains by Chen&Lin (2013) will be used to construct a risk management strategy evaluation simulation model to evaluate the performance of risk management strategies. The risk management strategies will be examined by the proposed simulation model, and the proper strategy for each risk factor will be found. The risk assessment and risk management strategy evaluation simulation model proposed in this research could be as useful tools for managers to assess risks and to select proper risk management strategies in supply chains.
    Reference: 英文部分
    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 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. Flygansvær 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.
    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.
    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 – 729.
    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 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.
    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 Özkır, 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 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。
    Description: 碩士
    國立政治大學
    資訊管理研究所
    101356035
    103
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0101356035
    Data Type: thesis
    Appears in Collections:[Department of MIS] Theses

    Files in This Item:

    File Description SizeFormat
    603501.pdf5009KbAdobe PDF2552View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback