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題名 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
貢獻者 林我聰
Lin, Woo Tsong
林崑裕
Lin, Kun Yu
關鍵詞 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
上傳時間 8-Dec-2010 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.
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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
資料類型 thesis
dc.contributor.advisor 林我聰zh_TW
dc.contributor.advisor Lin, Woo Tsongen_US
dc.contributor.author (Authors) 林崑裕zh_TW
dc.contributor.author (Authors) Lin, Kun Yuen_US
dc.creator (作者) 林崑裕zh_TW
dc.creator (作者) Lin, Kun Yuen_US
dc.date (日期) 2010en_US
dc.date.accessioned 8-Dec-2010 01:54:46 (UTC+8)-
dc.date.available 8-Dec-2010 01:54:46 (UTC+8)-
dc.date.issued (上傳時間) 8-Dec-2010 01:54:46 (UTC+8)-
dc.identifier (Other Identifiers) G0097356014en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/48986-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 資訊管理研究所zh_TW
dc.description (描述) 97356014zh_TW
dc.description (描述) 99zh_TW
dc.description.abstract (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。
zh_TW
dc.description.abstract (摘要) 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.
en_US
dc.description.tableofcontents 第一章 緒論 1
     1.1研究背景 1
     1.2研究動機 2
     1.3研究目的 2
     1.4研究流程 2
     第二章 文獻探討 4
     2.1供應商評選 4
     2.2供應商評選方法 5
     2.3供應商評選之權重探討 9
     2.4供應商與供應鏈績效指標 10
     2.5供應鏈績效評估方法 16
     2.6多目標規劃法 22
     2.6.1多目標規劃之求解方法 23
     2.7資料包絡分析法 27
     2.8系統動力學 28
     第三章 研究方法 30
     3.1研究架構 30
     3.2應用DEA評估供應商與供應鏈績效 31
     3.2.1選擇決策單位 32
     3.2.2選擇投入項與產出項 32
     3.2.3確認DEA模式 33
     3.2.4評估績效與確認排序 40
     3.3多目標之權重法 40
     3.3.1以SMART法計算供應鏈之各指標的權重值 42
     3.3.2由加權法計算綜合排序 43
     第四章 實驗設計 44
     4.1選擇決策單位 46
     4.2建立供應商與供應鏈評選指標 46
     4.3選擇決策單位之投入項與產出項 47
     4.4 DEA模式之交叉模式 48
     4.5確認供應商與供應鏈排序 58
     4.6以SMART法計算供應商與供應鏈之權重值 59
     第五章 模擬驗證 63
     5.1系統動力學之模擬架構 65
     5.1.1模擬系統範圍 65
     5.1.2模擬需求假設 66
     5.1.3模擬模式設計 66
     5.1.3.1模式特性 67
     5.1.3.2動態模擬圖 69
     5.1.3.3參數定義和公式 71
     5.1.3.4參數與函數設定 83
     5.1.4供應鏈整體廠商之模擬結果 85
     5.1.5動態模式之信度與效度分析 87
     5.2驗證結果 91
     第六章 結論與建議 97
     6.1研究結論 97
     6.2未來研究方向 98
zh_TW
dc.language.iso en_US-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0097356014en_US
dc.subject (關鍵詞) 供應商評選zh_TW
dc.subject (關鍵詞) 供應鏈績效zh_TW
dc.subject (關鍵詞) 資料包絡分析法zh_TW
dc.subject (關鍵詞) 簡易多屬性評等技術zh_TW
dc.subject (關鍵詞) 系統動力學zh_TW
dc.subject (關鍵詞) Supplier selectionen_US
dc.subject (關鍵詞) Supply chain performanceen_US
dc.subject (關鍵詞) Data Envelopment Analysis (DEA)en_US
dc.subject (關鍵詞) Simple Multi-Attribute Rating (SMART)en_US
dc.subject (關鍵詞) System Dynamics (SD)en_US
dc.title (題名) 考量供應鏈整體上下游廠商之供應商評選模式zh_TW
dc.title (題名) A supplier evaluation model for considering upstream and downstream companies of the supplier in supply chainen_US
dc.type (資料類型) thesisen
dc.relation.reference (參考文獻) 一、中文文獻zh_TW
dc.relation.reference (參考文獻) 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zh_TW
dc.relation.reference (參考文獻) 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zh_TW
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