政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/59301

政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/59301

English | 正體中文 | 简体中文 | Post-Print筆數 : 27 | 全文筆數/總筆數 : 109952/140887 (78%)
造訪人次 : 46312200 線上人數 : 745

RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.

搜尋範圍

查詢小技巧：

您可在西文檢索詞彙前後加上"雙引號"，以獲取較精準的檢索結果

若欲以作者姓名搜尋，建議至進階搜尋限定作者欄位，可獲得較完整資料

進階搜尋

主頁 ‧ 登入 ‧ 上傳 ‧ 說明 ‧ 關於政大典藏 ‧ 管理

到手機版

政大機構典藏 > 商學院 > 資訊管理學系 > 學位論文 > Item 140.119/59301

請使用永久網址來引用或連結此文件: https://nccur.lib.nccu.edu.tw/handle/140.119/59301

題名:	供應鏈風險評估模式建立之研究-以資訊電子產業為例 The Research on Developing a Risk Assessment Model - using Information and Electronics Industry as an example
作者:	陳有慶
貢獻者:	林我聰陳有慶
關鍵詞:	供應鏈風險管理模糊理論失效模式與效應分析法決策實驗室分析法分析網路程序法 Supply Chain Risk Management Fuzzy Theory FMEA DEMATEL ANP
日期:	2012
上傳時間:	2013-09-02 16:02:06 (UTC+8)
摘要:	產業分工與全球化因素影響，使企業與顧客、供應商分布在不同國家與地區，形成一個複雜與全球化的供應鏈網路，並導致整體供應鏈的風險大幅提升。企業如何做好供應鏈風險評估，已是目前聚焦的研究重點。那整體供應鏈流程包含採購、製造、配銷與回收階段，然而先前供應鏈風險管理研究上，大部分著重於單一階段進行討論，缺乏以整個供應鏈網路模式來進行研究，且假設風險因子之間為獨立、互不關連，也並未考慮整體供應鏈網路風險因子關聯特性，因而無法正確評估風險事件發生時所帶來的衝擊影響程度，自然無法進一步有效擬定出適當因應的風險管理策略。因此，本研究將針對「如何有效評估供應鏈風險程度」主要問題進行研究。那針對此問題來進行研究，本研究提出一個整體供應鏈風險評估模式以有效評估供應鏈的風險程度。首先透過文獻探討確認整理出供應鏈的風險因子，並以SCOR模式（Supply Chain Operations Reference Model）的將風險因子歸類於採購（Source）、製造 (Make)、配銷（Deliver）與回收（Return）各階段內；接著藉由風險因子的發生率、嚴重度、難檢度，應用模糊失效模式與效應分析法(Fuzzy Failure Modes and Effects Analysis；Fuzzy FMEA)篩選出重要的風險因子；再使用模糊決策實驗室分析法(Fuzzy Decision Making Trial and Evaluation Laboratory；Fuzzy DEMATEL)建構出供應鏈流程中重要的風險因子間之關連性；由於風險因子間具有相互影響關係，本研究並採用分析網路程序法(Analytic Network Process；ANP)計算風險因子的影響權重。最後結合上述Fuzzy FMEA、Fuzzy DEMATEL與ANP方法，建立出整體供應鏈風險評估模式，並就由計算出風險因子對企業供應鏈的影響度，排列出風險因子的影響度大小，讓企業能夠知道風險因子的優先順序。這將協助企業有效進行供應鏈風險的評估，讓企業瞭解目前所處供應鏈潛在的風險，並據以研擬相關的因應策略，以降低其對供應鏈整體與成員的衝擊。 As part of the division of labor and globalization, enterprises, customers and suppliers are located in various countries and regions. Complex, globalized supply chain network have greatly increased total supply chain risks. Therefore, improving the management of risk associated with the supply chain has become important to many enterprises. And whole supply chain have include four stage, source, make, deliver and return, but previous supply chain risk management research has focused mainly on single-stage risk factors and assumed all risk factors to be mutually as independent and also not consider the whole supply chain risk factors associated characteristics. The lack of consideration for these relationships will lead to incorrect measuring risks and applying improper risk management strategies to solve these risks. Therefore this research concentrates on a topic: How to effectively assess risks. About the main issue, this research will propose an effectively risk assessment model. First, the research will consider whole supply chain risk factors from literature and then classify these factors into source stage’s factors, make stage’s factors, deliver stage’s factors and return stage’s factors in accordance with SCOR Model (Supply Chain Operations Reference Model) framework. Second, Fuzzy Failure Modes and Effects Analysis (Fuzzy FMEA), Fuzzy Decision Making Trial and Evaluation Laboratory (Fuzzy DEMATEL) and Analytic Network Process (ANP) will be adopted and integrated to develop a supply chain risk assessment model. The results in this research will enable enterprises to determine in timely manner the effects of various risk events, enabling them to develop strategies to reduce their effect on the all members of the supply chain.
參考文獻:	英文部份 [1] Baloi, D. and Price, A. D. F., Modeling global risk factors affecting construction cost performance. International Journal of Project Management, Vol. 21, No. 4, 2003, pp. 261-269. [2] Blos, M. F., Quaddus, M. and Wee, H. M. Supply chain risk management (SCRM): a case study on the automotive and electronic industries in Brazil. Supply Chain Management: An International Journal, Vol. 14, No. 4, 2009, pp. 247-252. [3] Braglia, M., Frosolini, M. and Montannari, R., Fuzzy criticality assessment model for failure modes and effect analysis, International Journal Quality and Reliability Management, Vol. 20, No. 4, 2003, pp. 503-524. [4] Chang, B., Chang, C. H. and Wu, C. H., Fuzzy DEMATEL method for developing supplier selection criteria, Expert Systems with Application, Vol. 38, No.3 ,2011, pp. 1850-1858. [5] Chen, S. J. and Hwang C.L., Fuzzy Multiple Attribute Decision Making Methods and Applications, Berlin, New York, 1992. [6] Chin, K. S., Chen, A. and Yang, J. B., Development of a fuzzy FMEA based product design system, International Journal Advanced Manufacturing Technology, Vol. 36, No. 7-8, 2008, pp. 633-649. [7] Chin, K. S., Wang, Y. M., Poon, G. K. and Yang, J. B., Failure mode and effects analysis by data envelopment analysis, Decision support Systems, Vol. 48, No. 1, 2009, pp. 246-256. [8] Chong, A. Y. L., Ooi, K. B. and Sohal, A., The relationship between supply chain factors and adoption of e-Collaboration tools: An empirical examination, International Journal of Production Economics, Vol. 122, No.1, 2009, pp. 150-160. [9] Chopra, S. and Sodhi, M. S., Managing risk to avoid supply-chain breakdown, MIT Sloan Management Review, Vol. 46, No. 1, 2004, pp. 53-61. [10] Dong, C., Failure mode and effects analysis based on fuzzy utility cost estimation, International Journal of Quality and Reliability Management, Vol. 24, No. 9, 2007, pp. 114-136. [11] Gaudenzi, B. and Borghesi, A., Managing risks in the supply chain using the AHP method, The International Journal of Logistics Management, Vol. 24, No. 9, 2007, pp. 958-971. [12] Gilchrist, W., Modeling Failure Modes and Effects Analysis, International Journal of Quality and Reliability Management, Vol. 10, No. 5, 1993, pp. 16-24. [13] Haji, A. and Assadi, M., Fuzzy expert systems and challenge of new product pricing, Computer and Industrial Engineering, Vol. 56, No. 2, 2009, pp. 616-630. [14] Hallikas, J., Karvonen, I., Pulkkinen, U. and Virolainen, V. M., Risk management processes in supplier network, International journal of production economics, Vol. 90, No. 1, 2004, pp. 47-58. [15] Hallikas, J., Virolaien, V. M. and Tuominen, M., Risk analysis and assessment in network environments: A dyadic case study, International journal of production economics, Vol. 78, No. 1, 2002, pp. 45-55. [16]Harland, C., Brenchely, R. and Walker, H., Risk in supply networks, Journal of Purchasing and Supply Management, Vol. 9, No. 2, 2003, pp. 51-62. [17] Huan, S. H., Sheoran, S. K. and Keskar, H., Computer-assisted supply chain configuration based on supply chain operations reference (SCOR) model, Computers & Industrial Engineering, Vol. 48, No. 5, 2005, pp.377-394. [18] Inderfurth, K., Impact of uncertainties on recovery behavior in a remanufacturing environment a numerical analysis, International Journal of Physical Distribution and Logistics Management, Vol. 35, No. 5, 2005, pp. 318-336. [19] 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. [20] Khan, O. and Burnes, B., Risk and supply chain management: creating a research agenda, The International Journal of Logistics, Vol. 18, No. 2, 2007, pp. 197-216. [21] Knemeyer, A. M., A qualitative examination of factors affecting revise logistics systems for end-of-life computers, International Journal of Physical Distribution and Logistics Management, Vol. 32, No. 6, 2002, pp. 455-479. [22] Kocabasoglu, C., Prahinski, C. and Klassen, R. D., Linking forward and revise supply chain investments, The role of business uncertainty, Journal of Operations Management, Vol. 25, No. 6, 2007, pp. 1141-1160. [23] Lambert, D. M. and Cooper, M. C., Issues in supply chain management, Internal Marketing Management, Vol. 29, No. 1, 2000, pp. 65-83. [24] Liou, J. J. H., Yen, L. and Tzeng, G. H., Building an effective safety management system for airlines, Journal of Air Transport Management, Vol. 14, No. 1, 2008, pp. 20-26. [25] Manuj, I. and Mentzer, J. T., Global supply chain risk management, Journal of Business Logistics, Vol. 29, No. 1, 2008, pp. 133-155. [26] Manuj, I. and Mentzer, J. T., Global supply chain risk management, International Journal of Physical Distribution and Logistics Management, Vol. 38, No. 3, 2008, pp. 192-223. [27] Min, H. and Zhou, G., Supply Chain modeling: past, present and future, Computer and Industrial Engineering, Vol. 43, No. 1, 2002, pp. 231-249. [28] Norrman, A. and Jansson, U., Ericsson’s proactive supply chain risk management approach after a serious sub-supplier accident, International Journal of Physical Distribution and Logistics Management, Vol. 34, No. 5, 2004, pp. 434-456. [29] Olson, D. L. and Wu, D. D., A review of enterprise risk management in supply chain, Kybernetes, Vol. 39, No. 5, 2010, pp. 694-706. [30] Opricovic, S. and Tzeng, G. H., Defuzzification within a multi criteria decision model, International Journal of Uncertainty, Vol. 11, No. 5, 2003, pp. 635-652. [31] Ritchie, B. and Brindley, C., Supply chain risk management and performance: A guiding framework for future development, International Journal of Operation and Production Management, Vol. 27, no. 3, 2007, pp. 303-322. [32] Saaty, T. L., The Analytic Hierarchy process – Planning, Priority Setting, Resource Allocation, New York, McGraw-Hill, 1980. [33] Saaty, T. L., Decision Making with Dependence and Feedback: The Analytic Network Process, 2nd edition, PA:RWS Publication, 2001. [34] Schoenherr, T., Tummala, V. M. R. and Harrision, T. P., Assessing supply chain risk with the analytic hierarchy process: Providing decision support for the offshoring decision by a US manufacturing company, Journal of Purchasing and Supply Management, Vol. 14, No. 2, 2008, pp. 100-111. [35] Seuring, S. and Muller, M., From a literature review to a conceptual framework for sustainable supply chain management, Journal of Cleaner Production, Vol. 16, No. 15, 2008, pp. 1699-1710. [36] Shinichiro, H. and Yujiro, S., Designing methods of human interface for supervisory control systems, Control Engineering Practice, Vol. 7, No. 11, 1999, pp. 1413-1419. [37] Stamatis, D. H., Failure mode and effect analysis: FMEA from theory to execution, ASQC Ouality Press, Wisconsin, 1995. [38] Stefan, M., Multiple-supplier inventory models in supply chain management: A review, International Journal of Production Economics, Vol. 81-82, No. 11, 2003, pp. 265-279. [39] Sterman, J., Business Dynamic, New York, McGraw-Hill, 2000. [40] Stock, J. R., Boyer, S. L. and Harrmon, T., Research opportunities in supply chain management, Journal of the Academy of Marketing Science, Vol. 38, No. 1, 2010, pp. 32-41. [41] Tamura, M., Nagata, H., and Akazawa, K., Extraction and systems analysis of factors that prevent safety and security by structural model, Proceedings of the 41st SICE Annual Conference, 2002, pp.1752-1759. [42] Tang, C. S., Perspectives in supply chain risk management, International Journal of Production Economics, Vol. 103, No.2, 2006, pp. 451-488. [43] Tang, O. and Musa, S. N., Identifying risk issues and research advancement in supply chain risk management, International Journal Production Economics, Vol. 133, No. 1, 2011, pp. 25-34. [44] Thun, J. H. and Hoenig, T., An empirical analysis of supply chain risk management in the German automotive industry, International Journal Production Economics, Vol. 131, No. 1, 2011, pp. 242-249. [45] Towill, D. R., Industrial dynamics modeling of supply chains, International Journal of Physical Distribution and Logistics, Vol. 26, No. 2, 1996, pp. 23-42. [46] Trkman, P. and McCormack, K., Supply chain risk in turbulent environment – A conceptual model for managing supply chain network risk, International Journal of Production Economics, Vol. 119, No. 2, 2009, pp. 247-258. [47] Tseng, M. L. and Lin, Y. H., Application of fuzzy DEMATEL to development a case and effect model of municipal solid waste management in Metro Manila, Earth and Environmental Science, Vol. 158, No. 1-4, 2009, pp. 519-533. [48] Tuncel, G. and Alpan, G., Risk assessment and management for supply chain network: A case study, Computer in Industry, Vol. 61, No. 3, 2010, pp. 250-259. [49] Wu, T., Blackhurst, J. and Chidambaram, V., A model inbound supply risk analysis, Computers in Industry, Vol. 57, No. 4, 2006, pp. 350-365. [50] Wu, W. W. and Lee, Y. T., Development global managers’ competencies using the fuzzy DEMATEL method, Expert Systems with Application, Vol. 32, No. 2, 2007, pp. 499-507. [51] Zsididen, G. A., A grounded definition of supply risk, Journal of Purchasing and Supply Management, Vol. 9, No. 5-9, 2003, pp. 217-224. [52] Zsidisin, G. A., Managerial perceptions of supply risk, The Journal of Supply Chain Management, Vol. 39, No. 1, 2003, pp. 14-25. [53] Law, Averill M. and Kelton, W. David, Simulation Modeling and Analysis 3/e, 2000. 中文部份 [1] 小野寺勝重，民90，實踐FMEA手法，張書文譯，台北：長榮國際股份有限公司。 [2] 孫宗瀛、楊英魁，民94，Fuzzy控制：理論、實作與理論，台北：全華圖書股份有限公司。 [3] Lin, C. J. and Wu W. W., A fuzzy extension of the DEMATEL method for group decision making, 第一屆作業研究學會學術研討會論文集，2004，台灣，台北科技大學。 [4] 胡雪琴，民92，企業問題複雜度之探討及量化研究-以DEMATEL為分析工具，私立中原大學企業管理研究所碩士論文。 [5] 林宗明，民94，管理問題因果複雜度分析模式建立之研究-以DEMATEL為方法論，私立中原大學企業管理研究所碩士論文。 [6] 紀岱玲，民94，供應商績效評估研究－結合ANP及DEMATEL之應用，國立政治大學資訊管理學系研究所碩士論文。 [7] 林盈君，民97，綠色供應鏈中風險評估之研究-以國內某主機板廠商為例，國立政治大學資訊管理學系研究所碩士論文。 [8] 李佳芳，民97，綠色供應鏈中供應商評選之研究，國立政治大學資訊管理學系研究所碩士論文。 [9] 張瓊云，民99，建構信任模型探討合作夥伴間資訊分享之意願，國立政治大學資訊管理學系研究所碩士論文。 [10] 謝長宏，民69，系統動態學-理論．方法與應用，台北：中興管理顧問公司。 [11] 陳璟鴻，民96，紡織業全球運籌績效指標架構，國立政治大學資訊管理學系研究所碩士論文。 [12] 潘俊宏，民94，一衡量供應鏈績效之整合性架構，國立中央大學工業管理研究所碩士論文。
描述:	碩士國立政治大學資訊管理研究所 100356038 101
資料來源:	http://thesis.lib.nccu.edu.tw/record/#G0100356038
資料類型:	thesis
顯示於類別:	[資訊管理學系] 學位論文

文件中的檔案:

檔案	大小	格式	瀏覽次數
index.html	0Kb	HTML2	242	檢視/開啟

在政大典藏中所有的資料項目都受到原著作權保護.

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 © - 回饋