臺灣人文及社會科學引文索引資料庫系統

:::

詳目顯示

回上一頁
第 1 筆 / 總合 1 筆   第一頁 上一頁 下一頁 最後一頁
/1頁
題名：供應鏈管理之供應商評估、選擇與績效監督
作者：林雅廸
作者(外文)：Lin, Ya-Ti
校院名稱：國立交通大學
系所名稱：科技管理研究所
指導教授：虞孝成
學位類別：博士
出版日期：2010
主題關鍵詞：委外代工製造；外包；供應鏈管理；詮釋結構模式；網路分析程序法；VIKOR；Outsourcing；Supply Chain Management；ISM；ANP；VIKOR
原始連結：連回原系統網址new window
相關次數：
  • 被引用次數被引用次數:期刊(0) 博士論文(0) 專書(0) 專書論文(0)
  • 排除自我引用排除自我引用:0
  • 共同引用共同引用:0
  • 點閱點閱:25
委外代工製造是目前全球營運模式的主要趨勢，其中，供應商的評估、選擇與績效監督是影響委外代工製造成敗的關鍵因素，並被定義為多準則決策問題。此類的多準則決策問題通常包含許多可能會交互影響的評估構面、準則與次準則，但目前個別的研究方法不易同時滿足解析準則間的交互影響關係、分配權重與方案排序等需求。因此，本論文之研究目的為建立一個複合式評選架構與方法，以詮釋結構模式法解析各評估準則之交互影響關係，依此作為網路分析程序法之計算基礎，以獲得較精確之評估準則權重配置，並完成評估架構。最後，應用VIKOR(VlseKriterijumska Optimizacija I Kompromisno Resenje)法，在考量準則間資源運用相互競爭的情況下，以最佳妥協解之方式，將候選方案進行排序，透過複合式的方法克服現有個別研究方法之限制。此外，過去針對供應商評選的研究較少延伸到績效管理，但供應商的評選準則應該與績效管理結合，如此方能確保供應商注重的方向與公司的營運策略一致。因此，本研究進一步將供應商評選準則的研究內容延伸，將其結合資訊與網路技術，建構出概念性的即時供應商績效管理機制與系統，以補足過去相關研究之不足。由於台灣半導體產業的專業分工與委外代工營運模式已臻成熟，各次產業在全球半導體產業鏈中均位居要角。其中，積體電路測試屬於專業分工中重要的一環，目的在於確保最終產品之品質。因此如何評選與管理測試外包供應商，是影響IC設計與半導體產品公司營運的重要因素。本研究以台灣某IC設計公司為個案，示範如何應用本研究所提出之複合式供應商評選架構與方法及即時供應商績效管理機制。此實證研究之過程除可提供產、學界參考外，其結果之分析與建議也可協助個案強化其供應商評估、選擇與績效管理之品質，並可作為其他企業之重要參考。
Outsourcing manufacturing is a trend in today’s global business operations. Vendor evaluation, selection and monitoring are essential factors that affect outsourcing operations performance and thus have been determined as a multiple criteria decision making (MCDM) problem. The purpose of this dissertation is to propose a hybrid MCDM technique to relieve the limitations of existing solutions to better resolve the complex and interactive vendor evaluation and selection problem, of which can determine the interrelationships amongst all the evaluation criteria by the Interpretive Structural Modeling (ISM) Method and thus support the Analytic Network Process (ANP) method to arrange appropriate weights to each criterion and sub-criterion in the evaluation model by summarizing the opinions from the experts. Next, the VIKOR method is implemented to evaluate and select the most suitable vendor from all alternatives by compromising the conflict amongst all evaluation criteria. In addition, the real-time vendor performance management, which was not covered in the past vendor selection studies, is also crucial after the selection process. In order to cover such deficiency, this research further establishes an efficient conceptual mechanism to tackle this issue. This research also takes Taiwan semiconductor industry as a case study to demonstrate the proposed solution. Taiwan semiconductor industry is the largest provider in global market. It is vertically disintegrated and outsourcing is a main stream practice. Wafer and IC testing are critical manufacturing steps in the semiconductor supply chain that distinguish whether the IC can meet the specifications. Consequently, it is vital to establish a thorough model for selecting the testing vendors to ensure the success of the outsourcing operation. A Taiwan IC design company selects its testing outsourcing vendor by using the proposed MCDM technique that is demonstrated. The research results and proposed solution enhance the quality of decision making. Furthermore, not only can it be referred to by the semiconductor companies, but other companies in different industries as well. Therefore, they can improve the vendor selection quality and achieve a higher performance and satisfaction level.
Agarwal, A., Shankar, R., & Tiwari, M. K. (2007). Modeling agility of supply chain. Industrial Marketing Management, 36(4), 443-457.
Akarte, M. M., Surendra, N. V., Ravi, B., & Rangaraj, N. (2001). Web based casting supplier evaluation using analytical hierarchy process. Journal of the Operational Research Society, 52(5), 511-522.
Aktar Demirtas, E., & Ustun, O. (2009). Analytic network process and multi-period goal programming integration in purchasing decisions. Computers & Industrial Engineering, 56(2), 677-690.
Ali, A., Chen, Z., & Lee, J. (2008). Web-enabled platform for distributed and dynamic decision-making systems. The International Journal of Advanced Manufacturing Technology, 38(11-12), 1260-1270.
Aragonés-Beltrán, P., Chaparro-González, F., Pastor-Ferrando, J. P., & Rodríguez-Pozo, F. (2010). An ANP-based approach for the selection of photovoltaic solar power plant investment projects. Renewable and Sustainable Energy Reviews, 14(1), 249-264.
Arnold, U. (2000). New dimensions of outsourcing: a combination of transaction cost economics and the core competencies concept. European Journal of Purchasing & Supply Management, 6(1), 23-29.
Bühner, R., & Tuschke, A. (1997). Outsourcing. Die Betriebswirtschaft, 57(1), 20-30.
Bailey, W., Masson, R., & Raeside, R. (2002). Outsourcing in Edinburgh and the Lothians. European Journal of Purchasing & Supply Management, 8(2), 83-95.
Barthélemy, J. (2001). The hidden costs of IT outsourcing. Sloan Management Review, 42(3), 60-69.
Brits, H., & du Plessis, L. (2007). Application of focus group interviews for quality management: An action research project. Systemic Practice and Action Research, 20(2), 117-126.
Chan, T. S., & Chan, H. K. (2005). The future trend on system-wide modelling in supply chain studies. The International Journal of Advanced Manufacturing Technology, 25(7-8), 820-832.
Che, Z. H., Wang, H. S., & Sha, D. Y. (2007). A multi-criterion interaction-oriented model with proportional rule for designing supply chain networks. Expert Systems with Applications, 33(4), 1042-1053.
Chen, C. T., Lin, C. T., & Huang, S. F. (2006). A fuzzy approach for supplier evaluation and selection in supply chain management. International Journal of Production Economics, 102(2), 289-301.
Chin, K. S., Duan, G., & Tang, X. (2006). A computer-integrated framework for global quality chain management. The International Journal of Advanced Manufacturing Technology, 27(5-6), 547-560.
Chu, P. Y., Teng, M. J., Huang, C. H., & Lin, H. S. (2005). Virtual integration and profitability: some evidence from Taiwan's IC industry. International Journal of Technology Management, 29(1-2), 152-172.
Chung, S. H., Lee, A. H. I., & Pearn, W. L. (2005). Analytic network process (ANP) approach for product mix planning in semiconductor fabricator. International Journal of Production Economics, 96(1), 15-36.
de Boer, L., van der Wegen, L., & Telgen, J. (1998). Outranking methods in support of supplier selection. European Journal of Purchasing & Supply Management, 4(2-3), 109-118.
Degraeve, Z., Labro, E., & Roodhooft, F. (2000). An evaluation of vendor selection models from a Total Cost of Ownership perspective. European Journal of Operational Research, 125(1), 34-58.
Demirtas, E. A., & Üstün, Ö. (2008). An integrated multiobjective decision making process for supplier selection and order allocation. Omega, 36(1), 76-90.
Dickson, G. W. (1966). An analysis of vendor selection systems and decisions. Journal of Purchasing, 2, 5-17.
Dulmin, R., & Mininno, V. (2003). Supplier selection using a multi-criteria decision aid method. Journal of Purchasing and Supply Management, 9(4), 177-187.
Farris, D. R., & Sage, A. P. (1975). On the use of interpretive structural modeling for worth assessment. Computers & Electrical Engineering, 2(2-3), 149-174.
Fontela, E. (2003). The future societal bill: methodological alternatives. Futures, 35(1), 25-36.
Franceschini, F., & Rafele, C. (2000). Quality evaluation in logistic services. International Journal of Agile Management Systems, 2(1), 49-54.
Frederix, F. (1996, Oct 02-04). Planning and scheduling multi-site semiconductor production chains: A survey of needs, current practices and integration issues. Paper presented at the 12th Annual Conference on Integration in Manufacturing (1996 IiM Conference), Galway, Ireland.
Gencer, C., & Gürpinar, D. (2007). Analytic network process in supplier selection: A case study in an electronic firm. Applied Mathematical Modelling, 31(11), 2475-2486.
Ha, S. H., & Krishnan, R. (2008). A hybrid approach to supplier selection for the maintenance of a competitive supply chain. Expert Systems with Applications, 34(2), 1303-1311.
Ho, W., Xu, X. W., & Dey, P. K. (2010). Multi-criteria decision making approaches for supplier evaluation and selection: A literature review. European Journal of Operational Research, 202(1), 16-24.
Hsu, C. W., & Hu, A. H. (2009). Applying hazardous substance management to supplier selection using analytic network process. Journal of Cleaner Production, 17(2), 255-264.
Huang, J. J., Tzeng, G. H., & Ong, C. S. (2005). Multidimensional data in multidimensional scaling using the analytic network process. Pattern Recognition Letters, 26(6), 755-767.
Huang, S. H., & Keskar, H. (2007). Comprehensive and configurable metrics for supplier selection. International Journal of Production Economics, 105(2), 510-523.
IDB. (2006). 從台灣12吋晶圓廠之蓬勃看半導體產業. Retrieved July 12th, 2007, from http://www.moeaidb.gov.tw/external/ctlr?PRO=news.NewsView&id=169
Jharkharia, S., & Shankar, R. (2007). Selection of logistics service provider: An analytic network process (ANP) approach. Omega, 35(3), 274-289.
Jones, A., Robinson, J., O’Toole, B., & Webb, D. (2006). Implementing a bespoke supply chain management system to deliver tangible benefits. The International Journal of Advanced Manufacturing Technology, 30(9-10), 927-937.
Kannan, G., Pokharel, S., & Sasi Kumar, P. (2009). A hybrid approach using ISM and fuzzy TOPSIS for the selection of reverse logistics provider. Resources, Conservation and Recycling, 54(1), 28-36.
Karpak, B., Erdo, gbreve, Kumcu, a., & Kasuganti, R. (1999). An application of visual interactive goal programming: a case in vendor selection decisions. Journal of Multi-Criteria Decision Analysis, 8(2), 93-105.
Karsak, E. E., Sozer, S., & Alptekin, S. E. (2003). Product planning in quality function deployment using a combined analytic network process and goal programming approach. Computers & Industrial Engineering, 44(1), 171-190.
Krajewski, L. J., & Ritzman, L. P. (1998). Operations Management: Strategy and Analysis (5th ed.). Wokingham: Addison-Wesley Publishing Co.
Lee, A. H. I. (2009). A fuzzy supplier selection model with the consideration of benefits, opportunities, costs and risks. Expert Systems with Applications, 36(2, Part 2), 2879-2893.
Lee, A. H. I., Chang, H. J., & Lin, C. Y. (2009). An evaluation model of buyer-supplier relationships in high-tech industry -- The case of an electronic components manufacturer in Taiwan. Computers & Industrial Engineering, 57(4), 1417-1430.
Lee, A. H. I., Wang, W. M., & Lin, T. Y. (2010). An evaluation framework for technology transfer of new equipment in high technology industry. Technological Forecasting and Social Change, 77(1), 135-150.
Lee, H., Lee, S., & Park, Y. (2009). Selection of technology acquisition mode using the analytic network process. Mathematical and Computer Modelling, 49(5-6), 1274-1282.
Lee, H. L., & Billington, C. (1992). Managing supply chain inventory - pitfalls and opportunities. Sloan Management Review, 33(3), 65-73.
Lee, J. W., & Kim, S. H. (2000). Using analytic network process and goal programming for interdependent information system project selection. Computers & Operations Research, 27(4), 367-382.
Lee, W. S., Tzeng, G. H., Guan, J. L., Chien, K. T., & Huang, J. M. (2009). Combined MCDM techniques for exploring stock selection based on Gordon model. Expert Systems with Applications, 36(3, Part 2), 6421-6430.
Lee, Y. C. (2006). Semiconductor Industry Prospect 2007.
Leenders, M. R., Fearon, H. E., Flynn, A. E., & Johnson, P. F. (2002). Purchasing and Supply Management (11th edition ed.). New York: McGraw-Hill.
Lei, D., & Hitt, M. A. (1995). Strategic restructuring and outsourcing - the effect of mergers and acquisitions and LBOs on building firm skills and capabilities. Journal of Management, 21(5), 835-859.
Leong, G. K., Snyder, D. L., & Ward, P. T. (1990). Research in the process and content of manufacturing strategy. Omega-International Journal of Management Science, 18(2), 109-122.
Leung, L., Lam, K., & Cao, D. (2006). Implementing the balanced scorecard using the analytic hierarchy process & the analytic network process. Journal of the Operational Research Society, 57(6), 682-691.
Leung, L. C., Hui, Y. V., & Zheng, M. (2003). Analysis of compatibility between interdependent matrices in ANP. Journal of the Operational Research Society, 54(7), 758-768.
Liang, C., & Li, Q. (2008). Enterprise information system project selection with regard to BOCR. International Journal of Project Management, 26(8), 810-820.
Liao, Z., & Rittscher, J. (2007). A multi-objective supplier selection model under stochastic demand conditions. International Journal of Production Economics, 105(1), 150-159.
Lin, C. T., & Tsai, M. C. (2009). Development of an expert selection system to choose ideal cities for medical service ventures. Expert Systems with Applications, 36(2, Part 1), 2266-2274.
Lin, L. Y., & Lee, W. F. (2005). The Influences of outsourcing strategies and outsourcing management policies on manufacturing performances of petrochemical industry in Taiwan. Fu Jen Management Review, 12(3), 95-116.
Lin, Y. T., Chang, S. C., & Yu, H. C. (2010). The implementation of SCM concepts and information technology to the photomask supply management of IC companies. The International Journal of Advanced Manufacturing Technology, 49(1-4), 227-238.
Lin, Y. T., Lin, C. L., Yu, H. C., & Tzeng, G. H. (2010). A novel hybrid MCDM approach for outsourcing vendor selection: A case study for a semiconductor company in Taiwan. Expert Systems with Applications, 37(7), 4796-4804.
Liou, J. J. H., Tsai, C. Y., Lin, R. H., & Tzeng, G. H. (2010). A modified VIKOR multiple-criteria decision method for improving domestic airlines service quality. Expert Systems with Applications, in Press.
Liu, F. H. F., & Hai, H. L. (2005). The voting analytic hierarchy process method for selecting supplier. International Journal of Production Economics, 97(3), 308-317.
Loh, L., & Venkatraman, N. (1992). Determinants of Information Technology Outsourcing: A Cross-Sectional Analysis. Journal of Management Information Systems, 9(1), 7-24.
Mandal, A., & Deshmukh, S. G. (1994). Vendor Selection Using Interpretive Structural Modelling (ISM). International Journal of Operations & Production Management, 14(6), 52-59.
Meade, L. A., & Presley, A. (2002). R&D project selection using the analytic network process. IEEE Transactions on Engineering Management, 49(1), 59-66.
Momoh, J. A., & Zhu, J. Z. (2003). Optimal generation scheduling based on AHP/ANP. IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics, 33(3), 531-535.
Mummalaneni, V., Dubas, K. M., & Chiang-nan, C. (1996). Chinese purchasing managers' preferences and trade-offs in supplier selection and performance evaluation. Industrial Marketing Management, 25(2), 115-124.
Muralidharan, C., Anantharaman, N., & Deshmukh, S. G. (2002). A Multi-Criteria Group Decisionmaking Model for Supplier Rating. The Journal of Supply Chain Management, 38(4), 22-33.
OhUallachain, B. (1997). Restructuring the American semiconductor industry: Vertical integration of design houses and wafer fabricators. Annals of the Association of American Geographers, 87(2), 217-237.
Onut, S., Kara, S. S., & Isik, E. (2009). Long term supplier selection using a combined fuzzy MCDM approach: A case study for a telecommunication company. Expert Systems with Applications, 36(2), 3887-3895.
Opricovic, S. (1998). Multicriteria optimization of civil engineering system. Belgrade: Faculty of Civil Engineering.
Opricovic, S., & Tzeng, G. H. (2002). Multicriteria planning of post-earthquake sustainable reconstruction. Computer-Aided Civil and Infrastructure Engineering, 17(3), 211-220.
Opricovic, S., & Tzeng, G. H. (2004). Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European Journal of Operational Research, 156(2), 445-455.
Opricovic, S., & Tzeng, G. H. (2007). Extended VIKOR method in comparison with outranking methods. European Journal of Operational Research, 178(2), 514-529.
Petroni, A., & Braglia, M. (2000). Vendor Selection Using Principal Component Analysis. The Journal of Supply Chain Management, 36(2), 63-69.
Quinn, J. B. (1999). Strategic outsourcing: Leveraging knowledge capabilities. Sloan Management Review, 40(4), 9-21.
Quinn, J. B., & Hilmer, F. G. (1994). Strategic outsourcing. Sloan Management Review, 35(4), 43-55.
Ravi, V., & Shankar, R. (2005). Analysis of interactions among the barriers of reverse logistics. Technological Forecasting and Social Change, 72(8), 1011-1029.
Saaty, T. L. (1980). The analytic hierarchy process. New York: McGraw-Hill.
Saaty, T. L. (1996). Decision making with dependence and feedback: The analytic network process. Pittsburgh: RWS Publications.
Saaty, T. L. (2006). Rank from comparisons and from ratings in the analytic hierarchy/network processes. European Journal of Operational Research, 168(2), 557-570.
Saaty, T. L., & Vargas, L. G. (1998). Diagnosis with dependent symptoms: Bayes theorem and the analytic hierarchy process. Operations Research, 46(4), 491-502.
Sari, B., Sen, T., & Kilic, S. E. (2008). Ahp model for the selection of partner companies in virtual enterprises. The International Journal of Advanced Manufacturing Technology, 38(3-4), 367-376.
Sarkis, J. (2003). A strategic decision framework for green supply chain management. Journal of Cleaner Production, 11(4), 397-409.
Sevkli, M., Koh, S. C. L., Zaim, S., Demirbag, M., & Tatoglu, E. (2007). An application of data envelopment analytic hierarchy process for supplier selection: a case study of BEKO in Turkey. International Journal of Production Research, 45(9), 1973-2003.
Sharma, H. D., Gupta, A. D., & Sushil. (1995). The objectives of waste management in India: A futures inquiry. Technological Forecasting and Social Change, 48(3), 285-309.
Sharpe, M. (1997). Outsourcing, organizational competitiveness, and work. Journal of Labor Research, 18(4), 535-549.
Shee, D. Y., Tzeng, G. H., & Tang, T. I. (2003). AHP, fuzzy measure and fuzzy integral approaches for the appraisal of information service providers in Taiwan. Journal of Global Information Technology Management, 6(1), 8-30.
Shyur, H. J. (2006). COTS evaluation using modified TOPSIS and ANP. Applied Mathematics and Computation, 177(1), 251-259.
Shyur, H. J., & Shih, H. S. (2006). A hybrid MCDM model for strategic vendor selection. Mathematical and Computer Modelling, 44(7-8), 749-761.
Skinner, W. (1969). Manufacturing-Missing Link in Corporate Strategy. Harvard Business Review, 47(3), 136-145.
Tam, M. C. Y., & Tummala, V. M. R. (2001). An application of the AHP in vendor selection of a telecommunications system. Omega, 29(2), 171-182.
Theodorakioglou, Y., Gotzamani, K., & Tsiolvas, G. (2006). Supplier management and its relationship to buyers' quality management. Supply Chain Management-an International Journal, 11(2), 148-159.
Tsung, F. G. (2000). Impact of information sharing on statistical quality control. Ieee Transactions on Systems Man and Cybernetics Part a-Systems and Humans, 30(2), 211-216.
Tzeng, G. H., Lin, C. W., & Opricovic, S. (2005). Multi-criteria analysis of alternative-fuel buses for public transportation. Energy Policy, 33(11), 1373-1383.
Tzeng, G. H., Teng, M. H., Chen, J. J., & Opricovic, S. (2002). Multicriteria selection for a restaurant location in Taipei. International Journal of Hospitality Management, 21(2), 171-187.
Ustun, O., & DemIrtas, E. A. (2008). An integrated multi-objective decision-making process for multi-period lot-sizing with supplier selection. Omega, 36(4), 509-521.
Vezzetti, E. (2009). Product lifecycle data sharing and visualisation: Web-based approaches. The International Journal of Advanced Manufacturing Technology, 41(5-6), 613-630.
Wang, G., Wang, Y., & Zhao, T. (2008). Analysis of interactions among the barriers to energy saving in China. Energy Policy, 36(6), 1879-1889.
Wang, L. H., & Hsieh, L. F. (2009). Integrating ISM and ANP into Construction of Knowledge Management System. Journal of Management & Systems, 16(2), 219-241.
Warfield, J. N. (1974). Developing Interconnection Matrices in Structural Modeling. IEEE Transactions on Systems, Man, and Cybernetics, 4(1), 81-87.
Warfield, J. N. (1974). Toward interpretation of complex structural modeling. IEEE Transactions on Systems, Man, and Cybernetics, 4(5), 405-417.
Warfield, J. N. (1976). Societal Systems: Planning, Policy, and Complexity. New York: Wiley Interscience Publisher.
Watson, R. H. (1978). Interpretive structural modeling--A useful tool for technology assessment? Technological Forecasting and Social Change, 11(2), 165-185.
Weber, C. A., Current, J. R., & Benton, W. C. (1991). Vendor selection criteria and methods. European Journal of Operational Research, 50, 2-18.
Wu, D. S. (2009). Supplier selection: A hybrid model using DEA, decision tree and neural network. Expert Systems with Applications, 36(5), 9105-9112.
Wu, D. S., & Olson, D. L. (2008). A comparison of stochastic dominance and stochastic DEA for vendor evaluation. International Journal of Production Research, 46(8), 2313-2327.
Wu, W. W., & Lee, Y. T. (2007). Selecting knowledge management strategies by using the analytic network process. Expert Systems with Applications, 32(3), 841-847.
Wu, W. Y., Shih, H. A., & Chan, H. C. (2009). The analytic network process for partner selection criteria in strategic alliances. Expert Systems with Applications, 36(3, Part 1), 4646-4653.
Wu, W. Y., Sukoco, B. M., Li, C. Y., & Chen, S. H. (2009). An integrated multi-objective decision-making process for supplier selection with bundling problem. Expert Systems with Applications, 36(2, Part 1), 2327-2337.
Yahya, S., & Kingsman, B. (1999). Vendor rating for an entrepreneur development programma: a case study using the analytic hierarchy process method. Journal of the Operational Research Society, 50(9), 916-930.
Yang, J. L., Chiu, H. N., Tzeng, G. H., & Yeh, R. H. (2008). Vendor selection by integrated fuzzy MCDM techniques with independent and interdependent relationships. Information Sciences, 178(21), 4166-4183.
Yu, P. L. (1973). A class of solutions for group decision problems. Management Science, 19(8), 936-946.
Yu, R., & Tzeng, G. H. (2006). A soft computing method for multi-criteria decision making with dependence and feedback. Applied Mathematics and Computation, 180(1), 63-75.
Zeleny, M. (1982). Multiple Criteria Decision Making. New York: Mc-Graw-Hill.
 
 
 
 
第一頁 上一頁 下一頁 最後一頁 top
QR Code
QRCODE

臺灣人文及社會科學引文索引資料庫

目前上線人數：351（臺灣：342，外國：9） ／ 本年度總使用人次：2446764 ／ 訪客人次（自102年09月）：68245791
國家圖書館著作權聲明 Copyright © 2013 All rights reserved.
本館地址: 100201臺北市中山南路20號． 本館地圖及交通資訊．
總機：(02)23619132．最佳瀏覽解析度為1024x768以上