臺灣博碩士論文加值系統

基於市場的日益競爭，客戶需求的多變與劇變，產品生命週期的縮短，以及成本改善之壓力，供應商的選擇問題，已愈來愈受產學界的重視。供應商的選擇屬於企業策略管理層次的考量，其決策過程並非結構化而係屬半結構性或非結構性的問題，因此評量供應商判凖(Criterion)無法完全依據作業性指標(Operational metrics)；另外，目前研究文獻中，既存的供應商選擇模式與方法在尋求最佳解時，多未探討供應商的選擇判凖與企業經營策略的關聯。本研究採用供應商定位矩陣(supplier positioning matrix)，提供給決策團隊與主管，做為地圖式(Map)或透鏡式(Lens)的輔助性工具並配合模糊品質機能展開(Fuzzy QFD)手法，進行系統化的決定部品別(component/assembly-based)供應商應該俱備的供應條件與能力，幫助決策者釐清經營策略與供應商選擇判凖與權重(Weight)的關聯，將市場對產品與服務的需求條件與供應商對供應品與服務的履行能力，作整合性的連結，以選擇出能滿足市場客戶所需條件之潛在供應商。本研究考慮到新(潛在)供應商可資驗證的交易記錄(proven track records)的不完整以及評估者對評估指標認知上的不確定性，因此在供應商評估階段，導入模糊因素評分法(Fuzzy factor rating system)以及模糊構面分析法(Fuzzy dimensional analysis system);至於各供應商履行供應條件的風險問題，本模式另建有提供決策主管能依據其職權以及對各供應商背景條件的瞭解與判斷，選擇出適當的風險係數作為調整決策之用，以符合主管管理職權與決策環境。而敏感性分析的建議則可讓決策主管了解其決策態度與行為對評估結果的影響。最後，本研究以3C產業之實際個案公司，套用本論文模式進行新供應商之選擇問題，從雙方互動過程與結果評估後的檢討中，得到出一些值得推敲的管理蘊涵。

Supplier/Vendor selection decision becomes increasingly important for most manufacturing firms as it helps to increased competitiveness, customer satisfaction and profitability. The supplier/vendor selection is a decision-making problem at the strategic management level that involves a semi-structured process. The majority of the existing approaches obtained their optimal solutions without considering their fits with the strategy of the firm. This study utilizes the supplier positioning matrix, modified from the product-process change matrix, and the fuzzy quality function deployment to link the capability of suppliers with the requirements of the customers to identify the strategy-aligned criteria for vendor selection in a modified re-buy situation. A fuzzy factor rating system and fuzzy dimensional analysis are then used to evaluate the potential vendors based on the type of components required by the customers. In addition, in the proposed model, the final decision-maker is given the authority to synthesize the scores of individual alternatives based on the risks of individual vendors to accommodate the differences among the vendors to the specific environment. An empirical case study is performed to demonstrate the efficacy of the proposed system and to identify the best potential vendor(s) for further negotiation and development. The results of the case study also provide interesting managerial implications.

中文摘要 I
Abstract II
誌 謝 III
Table of Contents IV
List of Tables VI
List of Figures VII
Chapter 1 Introduction 1
1.1 Background 1
1.2 Research motivations and objectives 4
1.3 Research scope and structure 10
Chapter 2 literature review 14
2.1 Product-process change matrix 14
2.2 The prescriptive framework of supplier selection 15
2.3 Quality function deployment 20
2.4 Factor rating system and dimension analysis system 22
2.5 Supply risk 23
Chapter 3 An Integrated Framework for VS in a Modified Re-buy Situation 25
3.1 The supplier positioning matrix and selection criteria related with BPI 25
3.2 Fundamentals of fuzzy set theory 28
3.3 Identification of the weights of criteria by fuzzy assessment approach 32
3.4 Identification of the weights of criteria by fuzzy QFD 34
3.5 Computation of the aggregated fuzzy ratings of alternatives 37
3.5.1 Fuzzy factor rating system 37
3.5.2 Fuzzy dimensional analysis system 39
Chapter 4 An Empirical Case Study 42
4.1 Case study profile 42
4.2 Identified the strategy-aligned criteria of vendor selection 43
4.2.1 Identified the weights of criteria by fuzzy assessment approach 44
4.2.2 Identified the importance weights of criteria by fuzzy QFD 45
4.3 The computation of fuzzy FRS 46
4.4 Sensitivity analysis 48
4.5 The computation of fuzzy DAS 50
4.6 Managerial implications 51
Chapter 5 Conclusions and Suggestions 54
References 56
Appendices 65
作者簡介 69

References
Adams, S. M., Sarkis, J. and Liles, D., 1995, The development of strategic performance metrics. Engineering Management Journal 7 (1), 24-32.
Albino, V. and Garavell, A. C., 1998, A neural network application to subcontractor rating in construction firms. International Journal of Project Management 16 (1), 9-14.
Barad, M. and Gien, D., 2001, Linking improvement models to manufacturing strategies - A methodology for SMEs and other enterprises. International Journal of Production Research 39 (12), 2675-2695.
Barbarosoglu, G. and Yazgaç, T., 1997, An application of the analytic hierarchy process to the supplier selection problem. Production and Inventory Management Journal, First Quarter, 14-21.
Badri, M. J., 1999, Combining the analytic hierarchy process and goal
programming for global facility location-allocation problem, International Journal of Production Economics 62, 237-248.
Bossert, J. L., 1991, Quality Function Deployment, A Practitioner’s Approach (ASQC Quality Press, Marcel Dekker, New York).
Cakravastia, A. and Takahashi, K., 2004, Integrated model for supplier selection and negotiation in a make-to-order environment. International Journal of Production Research 42 (21), 4457-4474.
Chan, L. -K. and Wu, M. -L., 2002, Quality function deployment: A literature review. European Journal of Operational Research 143, 463-497.
Chen, C. -H. and Chou, S. -Y. (2005) A BSC framework for Air Cargo Terminal Design: Procedure and Case Study. Journal of Industrial Technology 22 (1), 1-10. Available: http://www.nait.org/jit/Articles/chen021606.pdf
Chen, C. T., 2001, A fuzzy approach to select the location of the distribution center. Fuzzy Sets and Systems 118, 65-73.
Chen, S. J. and Hwang, C. L., 1992, Fuzzy Multiple Attribute Decision Making Method and Applications (New York, Springer-Verlag Berlin Heidelberg).
Chiou, H. K., Tzeng, G. H. and Cheng, D. C., 2005, Evaluating sustainable fishing development strategies using fuzzy MCDM approach. Omega 33, 223-234
Cohen, L., 1995, Quality Function Deployment, How to Make QFD Work for You (Addison Wesley, Reading, MA).
De Boer, L., Labro, E. and Morlacchi, P., 2001, A review of methods supporting supplier selection. European Journal of Purchasing & Supply Management 7, 75-89.
De Boer, L., Van der Wegen, L. and Telgen, J., 1998, Outranking methods in support of supplier selection. European Journal of Purchasing & Supply Management 4, 109-118.
Deng, H., 1999, Multicriteria analysis with fuzzy pairwise comparison. International Journal of Approximate Reasoning 21, 215-231.
Dickson, G. W., 1966, An analysis of vendor selection system and decisions. Journal of Purchasing 2 (1), 28-41.
Dubois, D. and Prade, H., 1978, Operations on fuzzy numbers. International Journal of Systems Science 9, 613-626.
Ellis, R. L., 1998, QFD: A tool to sharpen measurement. Public Manager 27 (2), 33-36.
Ellram, L. M., 1995, Total cost of ownership: an analysis approach for purchasing. International Journal of Physical Distribution and Logistics Management 25 (8), 4-23.
Epstein, L. I., 1957, A proposed measure for determining the value of a design, The Journal of the Operations Research Society of America 5 (2), 297-299.
Evans, J. R. and Dean, J. W. Jr., 2003, Total quality: Management, organization, and strategy 3rd ed. (Mason, OH: South-Western), pp. 88-105.
Fazel, F. and Salegna, G., 1996, An integrative approach for selecting a TQM/BPR implementation plan. International Journal of Quality Science 1 (3), 6-23.
Finch, B. J., 2003, OperationsNow.com: Processes, Value, and Profitability (New York, McGraw-Hill).
Ghobadian, A., Stainer, A. and Kiss, T., 1993, A computerized vendor rating system. Proceedings of the First International Symposium on Logistics, The University of Nottingham, Nottingham, UK, July, 321-328.
Ghodsypour, S. H. and O’Brien, C., 1998, A decision support system for supplier selection using an integrated analytic hierarchy process and linear programming. International Journal of Production Economics 56-57 (1-3), 199-212.
Ghodsypour, S. H. and O’Brien, C., 2001, The total cost of logistics in supplier selection, under conditions of multiple sourcing, multiple criteria and capacity constraint. International Journal of Production Economics 73, 15-27.
Giunipero, L. C. and Brand, R. R., 1996, Purchasing’s role in supply chain management. International Journal of Logistics management 7 (1), 29-38.
Gopalkrishnan, P., 1990, Purchasing and Materials Management (Tata McGraw-Hill, New Delhi).
Harrison, E. F. and Pelletier, M. A., 2001, Revisiting strategic decision success. Management Decision 33 (3), 169-179.
Hauser, J. R., 2001, Metrics thermostat. Journal of Product Innovation Management 18 (3), 134-153.
Hauser, J. R. and Clausing, D., 1988, The house of quality. Harvard Business Review, (May/June), 63-73.
Heizer, J. and Render, B., 2004, Principles of Operations Management 5th ed. (New Jersey, Prentice Hall).
Hiatt, J., 1996, Introduction to Business Process Reengineering, BPR On-line
Learning Center series, Available at: http://www.prosci.com/mod1.htm
(Accessed: 1st September 2005).
Holmen, E. and Kristensen, P.S., 1998, Supplier roles in product development:
Interaction versus task partitioning. European Journal of Purchasing and Supply
Management 4 (2-3), 185-193.
Holt, G. D., 1998. Which contractor selection methodology?. International Journal of Project Management 16 (3), 153-164.
Howell, D., 2000, Making wishes come true. Professional Engineering 13 (3), 39.
Johnston, W. J. and Lewin, J. E., 1996, Organizational buying behavior: toward an integrative framework. Journal of Business Research 35, 1-15.
Kahraman, C., Ruan, D. and Dogan, I., 2003, Fuzzy group decision-making for facility location selection. Information Sciences 157, 135-153.
Keufmann, A. and Gupta, M. M., 1991, Introduction to Fuzzy Arithmetic: Theory and Application (New York, Van Nostrand Reinhold).
Klic, G. I. and Yan, B., 1995, Fuzzy Sets and Fuzzy Logic Theory and Applications (London, Prentice-Hall).
Ko, A. S. O. and Lee, S. F., 2000, Implementing the strategic formulation framework for the banking industry of Hong Kong. Managerial Auditing Journal 15 (9), 469-477.
Kochhar, A. K. and Saeed, M. K., 1999, A quality function deployment model of best practices in customer-supplier relationships. In: Mertins, K., Krause, O., Schallock, B. (Eds.), Global Production Management: Proceedings of the IFIP WG5.7 International Conference on Advances in Production Management Systems, September 6-10, Berlin.
Kumar, R. and Midha, P. S., 2001, A QFD based methodology for evaluating a company’s PDM requirements for collaborative product development. Industrial Management and Data Systems 101 (3), 126-131.
Kutucuoglu, K. Y., Hamali, J., Irani, Z. and Sharp, J.M., 2001, A framework for managing maintenance using performance measurement systems. International Journal of Operations and Production Management 21 (1, 2), 173-195.
Lee, K. T. and Chuah, K. B., 2001, A SUPER methodology for business process
improvement - An industrial case study in Hong Kong/China. International
Journal of Operations and Production Management, 21 (5/6), 687-706.
Lee, S. F. and Ko, A. S. O., 2000, Building balanced scorecard with SWOT analysis, and implementing “Sun Tzu’s The Art of Business Management Strategies” on QFD methodology. Managerial Auditing Journal 15 (1, 2), 68-76.
Li, C. C., Fun, Y. P. and Hung, J. S., 1997. A new measure for supplier performance evaluation. IIE Transactions on Operations Engineering 29, 753-758.
Lin, C. -W. R. and Chen, H. -Y. S., 2004, A fuzzy strategic alliance selection framework for supply chain partnering under limited evaluation resources. Computers in Industry 55, 159-179.
Liu, F. -H. F. and Hai, H. L., 2005, The voting analytic hierarchy process method for selecting supplier. International Journal of Production Economics 97, 308-317.
Masella, C. and Rangone, A., 2000, A contingent approach to the design of vendor selection systems for different types of co-operative customer/supplier relationships. International Journal of Operations and Production Management 20 (1), 70-84.
Miller, G. A., 1965, The magic number seven, plus or minus seven. Psychological Review 63, 81-97.
Mohammady Garfamy, R., 2004, Supplier Selection and Business Process Improvement: An exploratory multi-case study. Research Work, Universitat Autonoma de Barcelona, Spain, Available at: http//selene.uab.es/dep-economia-empresa/Jornadas/Papers/reza.pdf (Accessed: 20 November 2005).
Morlacchi, P., 1997, Small and medium enterprises in supply chain: a supplier evaluation model and some empirical results. Proceedings IFPMM Summer School, August, Saltzburg.
Nagendra, P. B. and Osborne, S.W., 2000, Professional services marketing: A house of quality approach. Journal of Professional Services Marketing 21 (1), 23.
Park, T. and Kim, K. -J., 1998, Determination of an optimal set design requirements using house of quality. Journal of Operations Management 16, 569-581.
Pearson, J. N. and Ellram, L. M., 1995, Supplier selection and evaluation in small versus large electronics firm. Journal of Small Business Management 33 (4), 53-65.
Pine II, B. J., 1993, Mass Customization: The New Frontier in Business Competition (Boston, Massachusetts, Harvard Business School Press)
Porter, M. E. and Millar, V. E., 1985, How information gives you competitive advantage. Harvard Business Review 63 (4), 149-160.
Rajala, M., Savolainen, T. and Jagdev, H., 1997, Exploration methods in business process re-engineering. Computers in Industry 33 (2-3), 367-385.
Ren, S. J., Zhang, X. D. and Zhang, X.P., 1997, A new generation of decision support systems for advanced manufacturing enterprises. Journal of Intelligent Manufacturing 8 (5), 335-343.
Ronen, B. and Trietsch, D., 1988, A decision support system for purchasing management of large projects. Operations Research 36 (6), 882-890.
Samuel, D. and Hines, P., 1999, Designing a supply chain change process: A food distribution case. International Journal of Retail and Distribution Management 27 (10), 409-420.
Sarkis, J. and Talluri, S., 2002, A model for strategic supplier selection. Journal of
Supply Chain Management 38 (1), 18-28.
Schmitz, J. and Platts, K. W., 2004, Supplier logistics performance measurement: Indication from a study in the automotive industry. International Journal of Production Economics 89, 231-243.
Siying, W., Jinlong, Z. and Zhicheng, L., 1997, A supplier-selecting system using a neural network. IEEE International Conference on Intelligent Processing Systems, (New York, IEEE), 468-471.
Smith, J. A. and Angeli, I. I., 1995, The use of quality function deployment to help adopt a total quality strategy. Total Quality Management 6 (1), 35-44.
Smytka, D. L. and Clemens, M. W., 1993, Total cost supplier selection model: a case study. International Journal of Purchasing and Materials Management 29 (1), 42-49.
Sohn, S. Y. and Choi, I. S., 2001, Fuzzy QFD for supply chain management with reliability consideration. Reliability Engineering and System Safety 72 (3), 327-334.
Soukup, W. R., 1987, Supplier selection strategies. Journal of Purchasing and Materials Management 23 (3), 7-12.
Stahl, W. R., 1962, Similarity and dimensional methods in biology. Since 137(20), 205-212.
Starr, M. K., 1989, Managing Production and Operations (Prentice Hall, New Jersey).
Stevenson, W. J., 2005, Operations Management 8ed. (New York, McGraw-Hill).
Sullivan, L. P., 1986, Quality function deployment. Quality Progress 19 (6), 39-50.
Talluri, S., 2002a, Enhancing supply decisions through the use of efficient marginal
costs models. Journal of Supply Chain Management 38 (4), 4-10.
Talluri, S., 2002b, A buyer-seller game model for selection and negotiation of
purchasing bids. European Journal of Operational Research 143 (1), 171-180.
Talluri, S. and Narasimhan, R., 2003, Vendor evaluation with performance variability: a max-min approach. European Journal of Operational Research 146 (3), 543-552.
Talluri, S. and Narasimhan, R., 2004, A methodology for strategic sourcing. European Journal of Operational Research 154 (1), 236-250.
Tang, M. T., Tzeng, G. H. and Wang, S. W., 1999, A hierarchy fuzzy MCDM method for studying electronic marketing strategies in the information service industry. Journal of International Information Management 8 (1), 1-22.
Tsaur, S. H., Tzeng, G. H. and Wang, G. C., 1997, Evaluating tourist risks from fuzzy perspectives. Annals of Tourism Research 24 (4), 796-812.
Tracey, M. and Tan, C. L., 2001, Empirical analysis of supplier selection and involvement, customer satisfaction, and firm performance. Supply Chain Management: An International Journal 6 (4), 174-188.
Trappey, C. V., Trappey, A. J. C. and Hwang, S. -J., 1996, A computerized quality function deployment approach for retail services. Computers and Industrial Engineering 30 (4), 611-622.
Verganti, R., 1997, Leveraging on systemic learning to manage the early phases of product innovation projects. R&D Management 27 (4), 377-392.
Verma, R. and Pullman, M. E., 1998, An analysis of the supplier selection process. Omega, 26, 739-750.
Wang, G., Huang, S. H. and Dismuke, J. P., 2004, Product-driven supply chain selection using integrated multi-criteria decision-making methodology. International Journal of Production Economics 91, 1-15.
Wasserman, G. S., 1993, On how to prioritize design requirements during the QFD planning process. IIE Transactions 25 (3), 59-65.
Weber, C. A., Current, J. R. and Benton, W. C., 1991, Vendor selection criteria and methods. European Journal of Operational Research 50 (1), 2-18.
Weber, C. A., Current, J. R. and Desai A., 2000, An optimization approach to determining the number of vendors to employ. Supply Chain Management: An International Journal 5 (2), 90-98.
Yager, R. R., 1982, Fuzzy Sets and Possibility Theory (Oxford, Pergumon Press).
Yao, J. S. and Chiang, J., 2003, Inventory without backorder with fuzzy total cost and fuzzy storing cost defuzzified by centroid and signed distance. European Journal of Operational Research 148, 401-409.
Yetton, P. and Botter, P., 1983, The relationships among group size, member ability, social decision schemes, and performance. Organizational Behavior and Human Performance October, 145-159.
Zadeh, L. A., 1965, Fuzzy sets. Information and Control 8, 338-353.
Zairi, M., 1997, Business process management: a boundaryless approach to modern competitiveness. Business Process Management Journal 3 (1), 64-80.
Zanakis, S. H., Solomon, A., Wishart, N. and Dublish, S., 1998, Multi-attribute decision making: A simulation comparison of select methods. European Journal of Operational Research 107, 507-529.
Zsidisin, G. A., 2003, A grounded definition of supply risk, Journal of Purchasing And Supply Management 9, 217-224