政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/48986
English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  全文笔数/总笔数 : 113318/144297 (79%)
造访人次 : 50998494      在线人数 : 885
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜寻范围 查询小技巧：
  • 您可在西文检索词汇前后加上"双引号"，以获取较精准的检索结果
  • 若欲以作者姓名搜寻，建议至进阶搜寻限定作者字段，可获得较完整数据
    •  进阶搜寻
    政大機構典藏 > 商學院 > 資訊管理學系 > 學位論文 >  Item 140.119/48986


    请使用永久网址来引用或连结此文件: https://nccur.lib.nccu.edu.tw/handle/140.119/48986


    题名: 考量供應鏈整體上下游廠商之供應商評選模式
    A supplier evaluation model for considering upstream and downstream companies of the supplier in supply chain
    作者: 林崑裕
    Lin, Kun Yu
    贡献者: 林我聰
    Lin, Woo Tsong
    林崑裕
    Lin, Kun Yu
    关键词: 供應商評選
    供應鏈績效
    資料包絡分析法
    簡易多屬性評等技術
    系統動力學
    Supplier selection
    Supply chain performance
    Data Envelopment Analysis (DEA)
    Simple Multi-Attribute Rating (SMART)
    System Dynamics (SD)
    日期: 2010
    上传时间: 2010-12-08 01:54:46 (UTC+8)
    摘要: 關於供應商評選模式的探討與研究，是現今於供應鏈管理中非常重要的議題，而對於國內外供應商評選的相關性研究中，往往只考量供應商本身績效，而缺乏整體性的考量，有鑑於此，當企業在評選供應商時，不僅是針對單一供應商績效的考量，而對於供應商本身上下游廠商的整體績效的考量，也是相當重要的評選因素。本研究運用資料包絡分析法(Data Envelopment Analysis, DEA)與簡易多屬性評等技術(Simple Multi-Attribute Rating, SMART)，以建構較完整的供應商評選模式，協助企業的決策者選擇最適的供應商。
    在進行供應商與供應商所屬的供應鏈之績效評估時，利用資料包絡分析法中的交叉模式計算供應商與供應商所屬的供應鏈之平均效率，再藉由平均效率值以排序供應商與供應商所屬的供應鏈之優先順位，但因兩者之順序會產生不一致的情形，利用SMART法中的排序加總法計算兩者之權重值，最後以加總法計算綜合效率值，依據綜合效率值加以排序以評選最適的供應商，而此兩種方法的結合， 則需透過驗證的方式以確定運用之正確性，利用系統動力學(System Dynamics, SD)以建構供應鏈之整體廠商的經營環境，模擬供應鏈整體廠商之績效評估模式，以產生模擬驗證排序，最後再將綜合排序與驗證排序，利用Spearman等級相關係數驗證其相關性，而最終證明兩排序具有高度相關性，也證實本研究所提出的供應商評選模式富有參考價值。
    The research of supplier selection model is a very important issue in supply chain management (SCM). Even though the research on supplier selection is abundant, the most works usually only consider the performance of the supplier. This situation can result in a lack of integral deliberation. Therefore, the decision-maker wants to select his vendor in the company, it is important that the decision-maker not only focus on the business unit but also add to the overall organization of the supply chain. In this paper the Data Envelopment Analysis (DEA) and the Simple Multi-Attribute Rating (SMART) are developed to construct the effective supplier evaluation model depends upon the constituent parts of the supply chain, which may be helpful for selecting the appropriate vendor.
    When evaluating the performance of the supplier and the supplier’s supply chain, the cross-efficiency model of DEA is applied to compute average efficiency both the supplier and the supply chain. According to average efficiency, we can arrange the priority order that may be have the inconsistent order for the suppliers and their supply chains. The rank sum weighting of SMART is employed to determine the weights of suppliers and their chains and then the weighted method is used to calculate overall efficiency that ranking of the suppliers is obtained. Above of two methods, we must be verify the model. The System Dynamics (SD) is designed to implement the whole components of the supply chain for business environment and simulate the performance model. Based on this performance model, we can acquire a confirmation list. In the end, the Spearman’s rank correlation coefficient is provided to testify the correlation between the overall order and the confirmation list. The result of the statistic analysis is illustrated the strength of the association. The model can be tailored and applied by firms that are making decisions on supplier selection.
    參考文獻: 一、中文文獻
    1. 方怡文(民國96)，”考慮競爭策略之供應商評選研究”，成功大學工業與資訊管理學系碩士論文
    2. 王風帆(民國94)，”整合性供應鏈績效評估與最佳化分析”，交通大學工業工程管理學系博士論文
    3. 吳志穎(民國96)，”電子化採購、資訊分享、夥伴關係及供應鏈整合對供應鏈績效的影響”，成功大學企業管理學系碩士論文
    4. 宋忠儒(民89)，”資訊電子業供應鏈績效評估系統之研究”，成功大學工業管理學系碩士論文
    5. 李志隆(民國94)，”三種供應商評選方法之比較研究”， 台灣科技大學工業管理系碩士論文
    6. 李佳芳(民國97)，”綠色供應鏈中供應商評選之研究”， 政治大學資訊管理學系碩士論文
    7. 林盈君(民國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”， 政治大學資訊管理學系碩士論文
    8. 紀岱玲(民國94)，” 供應商績效評估研究－結合ANP及DEMATEL之應用”， 政治大學資訊管理學系碩士論文
    9. 張銀鶯(民國95)，”企業策略、資訊策略、供應鏈策略與供應鏈績效關聯性之研究—以機械產業為實證”，成功大學管理學院高階管理碩士在職專班碩士論文
    10. 張瓊云(民國99)，”建構信任模型探討合作夥伴間資訊分享之意願”，政治大學資訊管理學系碩士論文
    11. 陶在樸(民國88)，系統動態學，台北，五南圖書出版公司
    12. 楊國隆、熊高生(民國98)，作業研究入門導引-使用LINGO，台北，文魁資訊股份有限公司
    13. 葉康洋(民國98) ，“應用多目標規劃方法建構軍事投資建案決策模式研究”，中央大學工業工程學系碩士論文
    14. 潘俊宏(民國94)，”一衡量供應鏈績效之整合性架構”，中央大學工業管理系碩士論文
    15. 鄭智中(民國94)，”供應鏈之供應商評選方法研究”，成功大學工程管理碩士在職專班論文
    16. 謝長宏(民國69)，系統動態學-理論、方法與應用，台北，中興管理顧問公司
    17. 簡禎富(民國84)，決策分析與管理-全面決策品質提升之架構與方法，台北，雙葉書廊
    18. 顏月珠(民國92)，商用統計學，台北，三民書局股份有限公司
    19. 蘇家弘(民國95)，” 以灰區間數修正模糊層級分析法下專家意見評估模式進行供應商選擇”， 政治大學資訊管理學系碩士論文
    二、英文文獻
    1. Amy H. I. Lee, “A fuzzy supplier selection model with the consideration of benefits, opportunities, costs and risks”, Experts System with Application, Vol. 36, No. 707, pp. 2879-2893, 2009.
    2. Angerhofer, B. J. and Angelides, M. C., ”A model and a performance measurement system for collaborative supply chain”, Decision Support System, Vol. 42, pp. 283-301, 2006.
    3. Badri, M. A. , “A combined AHP-GP model for quality control systems”, International Journal of Production Economics, Vol. 72, pp. 27-40, 2001.
    4. Banker, R. D., Charnes, A. and Cooper, W. W., “Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis ”, Management Science, Vol. 30., No. 9, pp. 1078-1092, 1984.
    5. Beamon, B. M., “Supply Chain Design Analysis: Models and Methods”, International Journal of Production Economics, Vol. 55, No. 3, pp. 281-294, 1998.
    6. Boussofiane, A., Dyson, R. G. and Thanassoulis, E., “Applied Data Envelopment Analysis”, European Journal of Operational Research, Vol. 52, pp. 1-15, 1991.
    7. Brewer, P. C. and Speh, T. W., “Using the balanced scorecard to measure supply chain performance”, Journal of business logistics, Vol. 21, No. 1, pp. 75-93, 2000.
    8. Charnes, A., Cooper, W. W. and Rhodes, E., “Measuring the efficiency of decision making units”, European Journal of Operational Research, Vol. 2, No. 6, pp. 429-444, 1978.
    9. Chu, A. T. W., Kalaba, R. E. and Spingarn, K., “A comparison of two methods for determining the weights of belonging to fuzzy sets”, Journal of Optimization Theory and Applications, Vol. 27, No. 4, pp. 531-538, 1979.
    10. Dickson, G., “An analysis of vendor selection systems and decision”, Journal of Purchasing, Vol. 2, pp. 28-41, 1996.
    11. Doyle, J. and Green, R., “Efficiency and Cross-efficiency in DEA: Derivations, Meanings and Uses”, Journal of the Operational Research Society, Vol. 45, No. 5, pp. 567-578, 1994.
    12. Dyson, R. G., Allen, R., Camanho, A. S., Podinovski, V. V., Sarrico, C. S. and Shale, E. A., “Pitfalls and protocols in DEA”, European Journal of Operational research, Vol. 132, pp. 245-259, 2001.
    13. Edwards, W. and Barron, F. H., “SMARTS and SMARTER: Improved Simple Method for Multiattribute Utility Measurement”, Organizational Behavior and Human Decision Processes , Vol. 60, No. 3, pp. 306-325, 1994.
    14. Sabri, E. H. and Beamon, B. M., ”A Multi-Objective Approach to Simultaneous Strategic and Operational Planning in Supply Chain Design”, OMEGA, Vol. 28, No. 5, pp. 581-598, 2000.
    15. Felix T. S. Chan and H. J. Qi , “An innovative performance measurement method for supply chain management”, Supply Chain Management: An International Journal, Vol. 8, No. 3, pp. 209-233, 2003.
    16. Golany, B. and Roll, Y., “An Application Procedure for DEA”, OMEGA, Vol. 17, No. 3, pp. 237-250, 1989.
    17. Hagelaar, G. J. L. F., van der Vorst and Jack, G.A.J., ”Environmental supply chain management: using life cycle assessment to structure supply chains ”, International Food and Agribusiness Management Review, Vol. 4, pp. 399-412, 2002.
    18. Hausman, W. H., ”Supply Chain Performance Metrics”, Management science & Engineering Department, 2002.
    19. Hwang, C. L. and Yoon, K., ”Multiple Attribute Decision Making Methods and Applications”, Springer-Verlag, 1981.
    20. Bryceson, K.P. and Slaughter, G. ” Integrated Autonomy – A Modeling-based Investigation of Agrifood Supply Chain Performance”, International Conference on Computer Modelling and Simulation, pp. 334-339, 2009.
    21. Laarhoven, P. J. M. and Pedrycz, W., ”A fuzzy extension of Satty’s priority theory ”, Fuzzy Sets and system, Vol. 11, pp. 229-241,1983.
    22. Lockamy, A. and McCormack, K., “Linking SCOR planning practices to supply chain performance: An exploratory study”, International Journal of Operations & Production Management, Vol. 24, No. 12, pp. 1192-1218, 2004.
    23. Frohlich, M. T. and Westbrook, R., “Arcs of integration: an international study of supply chain strategies”, Journal of Operations Management, Vol. 19, pp. 185-200, 2001.
    24. Ondersteijn, C. J. M., Wijnands, J. H. M., Huirne, R. B. M. and van Kooten, O., “Performance Indicators In Agri-food Production Chains”, pp. 47-64, 2006.
    25. Roodhooft, F. and Konings, J., ”Vendor selection and evaluation an activity based costing approach”, European Journal of Operational Research, Vol. 96, pp. 97-102, 1997.
    26. Saaty, T. L., Decision making with dependence and feedback-The analytic network process, RWS Publication, 1996.
    27. Saaty, T. L. and Takizawa, M., “Dependence and independence: from linear hierarchies to nonlinear networks”, European Journal of Operational Research, Vol. 26, pp. 229-237, 1986.
    28. Saaty, T. L. and Vargas, L. G., Decision Making with the Analytic Network Process, 2006.
    29. Saaty, T. L., The Analytical Hierarchy Process, McGrew-Hill Press, New York, 1980.
    30. Shannon, C. E. and Weaver, W., The Mathematical Theory of Communication, The University of Illinois Press, 1947.
    31. Srinivasan, V. and Shocker, A. D., ”Linear programming techniques for multidimensional analysis of preference”, Psychometrika, Vol. 38, No. 3, pp. 337-369, 1973.
    32. Timmerman, ”An approach to vendor performance evaluation”, Journal of Purchasing and Materials Management, Vol. 22, pp. 2-8, 1986.
    33. Weber, C. A., Current, J. R. and Benton, W. C. , ”Vendor Selection Criteria and Methods”, European Journal of Operational Research, Vol. 50, pp. 2-18, 1991.
    34. Weber, C. A. and Desai, A., ”Determination of paths to vendor market efficiency using parallel coordinates representation: a negotiation tool for buyers”, European Journal of Operational Research, Vol. 90, pp. 142-155, 1996.
    35. Wenfa, H., ” Improving Construction Collaboration Performance Through Supply Chain Control and Management”, International Conference on Information Management, pp. 58-61, 2008.
    36. Wong, W. P., Wong, K. Y., ”Supply chain performance measurement system using DEA modeling”, Industrial Management & Data Systems, Vol. 107, No. 3, pp. 361-381, 2007.
    37. Yahya, S. and Kingsman, B., “Modelling a multi-objective allocation problem in a government sponsored entrepreneur development programme”, European Journal of Operational Research , Vol. 136, pp. 430-448, 2002.
    38. Zadeh, L. A., ”Fuzzy sets”, Information and control, Vol. 8, pp. 338-353, 1965.
    39. Zadeh, L. A., ”The concept of a Linguistic Variable and its Application to Approximate Reasoning”, Information Sciences, Vol. 8, pp. 199-249, 1975.
    40. Zeleny, M., Multiple Criteria Decision Making, McGrew-Hill Press, New York, pp.83-95, 1982.
    41. Zili, Z. and Li, T.,” Multi-agent Based Supply Chain Management with Dynamic Reconfiguration Capability”, International Conference on Web Intelligence and Intelligent Agent Technology, pp.92-96, 2008.
    描述: 碩士
    國立政治大學
    資訊管理研究所
    97356014
    99
    資料來源: http://thesis.lib.nccu.edu.tw/record/#G0097356014
    数据类型: thesis
    显示于类别:[資訊管理學系] 學位論文

    文件中的档案:

    档案 大小格式浏览次数
    index.html0KbHTML2297检视/开启


    在政大典藏中所有的数据项都受到原著作权保护.


    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 ©   - 回馈