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研究生:陳力禎
研究生(外文):Li-Chen Chen
論文名稱:關鍵零組件供應商評選分析-以某電子國際大廠為例
論文名稱(外文):Key Component Supplier Evaluation Model – a case study of a leading electronic company
指導教授:盧大平盧大平引用關係
口試委員:梁曉帆楊明峯
口試日期:2013-06-20
學位類別:碩士
校院名稱:國立臺北科技大學
系所名稱:工業工程與管理系碩士班
學門:工程學門
學類:工業工程學類
論文種類:學術論文
論文出版年:2013
畢業學年度:101
語文別:英文
論文頁數:49
中文關鍵詞:供應商評選準則模糊層級分析法電子製造業
外文關鍵詞:Supplier Evaluation CriteriaFuzzy Analytic Hierarchy ProcessElectronic manufacturing industry
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由於供應商評選所需要考慮的因素是相當複雜,且具有相當大的不確定性,因此,在供應鏈管理中,如何評選一個合適的供應商是一個相當具有挑戰性的問題。對許多公司而言,有效率且準確的供應商評選可以提高其生產和物流管理的效率。本研究的目的在提供一個全面性的評選關鍵零組件供應商的準則模型,這些準則是基於40篇相關文獻的探討,再經由專家意見法,來完成此評估準則模型。
本研究以某電子國際大廠為例,由12位具有採購決定權的專家填寫為卷,利用模糊層級分析法來計算評選關鍵零組件供應商,其準則的相對權重。此模型提供經理人為供應商評選時的評估清單。最後,利用兩位經理所填寫的分數表驗證此模型的適用性。



Evaluation of appropriate suppliers in supply chain management strategy is a challenging issue because evaluating criteria are characterized with complexity, elusiveness, and uncertainty in nature. Effective and accurate supplier evaluation decisions are important for productions and logistics management in many firms to enhance their organizational performance. The purpose of this study is to provide a comprehensive key component supplier evaluation model. This model of criteria is based on a review of 40 related journals and experts review.
In this research, we use a leading electronic company, X, as a case study. Fuzzy analytic hierarchy process (FAHP) is applied to calculate the weighting of selection criteria for key component supplier evaluation. A designed FAHP questionnaire was sent to twelve procurement decision makes in Company X. The model can be used as a checklist in order to ensure that no key components are missing in the evaluation process. Finally, score cards filled by two managers are used to verify applicability of the model in the real world.


摘要…………………….………………………………………………………………...i
ABSTRACT…………………………….….……………………………………………ii
誌謝…………………………………….………………………………………….……iv
CONTENTS………………………….………………………………………………….v
LIST OF FIGURE …………………..……………………………………....………...vi
LIST OF TABLE …………………...……………………………………....……….vii
Chapter 1 INTRODUCTION……….…………………………………………………...1
1.1 Research Motivation …….……………………………………………………..1
1.2 Research Objective…….………………………………………………………….3
1.3 Research Scope….……...…………….…………………………………………..3
1.4 Research Architecture Processes……………………………………….…………4
Chapter 2 LITERATURE REVIEW……….……………………………………………6
2.1 Supplier Evaluation…….………………………………………………………...6
2.2 Fuzzy Set Theory…………………………………………………………………9
2.3 Analytic Hierarchy Process (AHP)…..………………….………………………10
2.4 Supply Chain Management (SCM).…………….….……………………………11
Chapter 3 RESEARCH METHODOLOGY………………….………………………..13
3.1 Fuzzy Analytic Hierarchy Process………………….…………………………...13
3.1.1 Analytic Hierarchy Process…………….………………………..……………14
3.1.2 Fuzzy Theory Concept……………………….………………….……………14
3.1.3 Fuzzy Analytic Hierarchy Process Steps………………………..……………15
Chapter 4 PROCEDURE, RESULTS and DISCUSSION..……..……........…...……...20
4.1Construct a Key Component Supplier Evaluation Model………………………..20
4.2 Survey and Analysis by FAHP Method………………..…………….……….….21
4.2.1 Survey and FAHP Analysis…………………….…….….………….….……..21
4.2.2 The FAHP Analysis Result…………….…….…….….…………….….….…25
4.3 Result Discussion………………………………………..………….…………...26
4.4 Case Study………………………………………………………………….……28
4.4.1 Score Card………………………………..………………………………..…28
Chapter 5 CONCLUSION…………………………….……………….……………….31
REFERENCE LIST……………………………………………….…….……………...32
APPENDIX
A questionnaire………………………………………………….……………………...42


Reference List

[1]Giuseppe Bruno,et al., “AHP-based approaches for supplier evaluation: Problems and perspectives”, Journal of Purchasing and Supply Management, vol. 18, 2012,pp. 159–172.
[2]A. Amid and S.H. Ghodsypour, C. O’Brien, “A weighted max–min model for fuzzy multi-objective supplier selection in a supply chain”, International Journal of Production Economics, vol. 131, 2011, pp. 139–145.
[3]G. L. Kovacs and P. Paganelli, “A planning and management infrastructure for large, complex, distributed projects—beyond ERP and SCM,” Computers in Industry, vol. 51, no. 2, 2003, pp. 165-183.
[4]M. T. Frohlich and R. Westbrook, “Arcs of integration: an international study of supply chain strategies,” Journal of Operations Management, vol. 19, no. 2,2001, pp. 185-200.
[5]T. V. Scannell, S. K. Vickery and C. L. Droge, “Upstream Supply Chain Management and Competitive Performance in the Automotive Supply Industry,” Journal of Business Logistics, vol. 21, no. 1, 2000, pp. 23-48.
[6]T. P. Stank, M. Crum and M. Arango, “Benefits of Interfirm Coordination in Food Industry Supply Chains,” Journal of Business Logistics, vol. 20, no. 2, 1999, pp. 21-41.
[7]P. Childerhouse, et al., “Information flow in automotive supply chains: identifying and learning to overcome barriers to change,” Industrial Management & Data Systems, vol. 103, no. 7, 2003, pp. 491-502.
[8]Tsenga, Chiang and Lan, “Selection of optimal supplier in supply chain management strategy with analytic network process and choquet integral,” Computers & Industrial Engineering, vol. 57, 2009, pp. 330–340.
[9]Wang and Chang , “Application of TOPSIS in evaluating initial training aircraft under a fuzzy environment,” Expert Systems with Applications, vol. 33, 2007, pp. 870-880.
[10]Zadeh ,”A fuzzy-algorithmic approach to the definition of complex or imprecise concepts,” International Journal of Man-Machine Studies, vol. 8, 1976, pp. 249–291.
[11]Bellman and Zadeh, “Decision-making in a fuzzy environment,” Journal of Management Science,vol.17,1970,pp.141-164.
[12]C. R. Carter, “Ethical issues in international buyer–supplier relationships: a dyadic examination,” Journal of Operations Management, vol. 18, 2000, pp. 191–208.
[13]N. Lindberg and F. Nordin, “From products to services and back again: Towards a new service procurement logic,” Industrial Marketing Management, vol. 37, 2008, pp. 292-300.
[14]L. C. Angell and R. D. Klassen, “Integrating environmental issues into the mainstream: an agenda for research in operations management,” Journal of Operations Management, vol. 17, 1999, pp. 575–598.
[15]N. Nahar, et al., “Success factors for information technology supported international technology transfer: Finding expert consensus,” Information & Management, vol. 43, 2006, pp. 663–677.
[16]William Ho, XiaoweiXu and Prasanta K. Dey, “Multi-criteria decision making approaches for supplier evaluation and selection: A literature review,” European Journal of Operational Research, vol. 202, 2009, pp. 16–24.
[17]Chen, “A fuzzy-based decision-support model for rebuy procurement,” International Journal of Production Economics, vol. 122, 2009, pp. 714-724.
[18]Hsieh, Lu and Tzeng, “Fuzzy MCDM approach for planning and design tenders selection in public office buildings,” International Journal of Project Management, vol. 22, 2004, pp. 573–584.
[19]P.J.M. van Laarhoven, W. Pedrycz, “A fuzzy extension of Saaty’s priority theory,” Fuzzy Sets and Systems, vol. 11,1998, pp. 199–227.
[20]Hsieha, Lu and Tzeng,”Fuzzy MCDM approach for planning and design tenders selection in public office buildings,” International Journal of Project Management, vol. 22,2004, pp. 573–584.
[21]D. Dubis and H. Prade, “Operations on fuzzy numbers,” International Journal of Systems Science, vol. 9, 1978, pp. 613–626.
[22]Mon, Cheng and Lin, “ Evaluating weapon system using fuzzy analytic hierarchy process based on entropy weight,” Fuzzy Sets and Systems, vol. 62, 1994, pp. 127–134.
[23]R. R. Yager and D. P. Filev, Essentials of fuzzy modeling and control, New York: John Wiley & Sons, 1994.
[24]S. Opricovic and G. H. Tzeng, “Defuzzification within a multicriteria decision model,” International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, vol. 11, no. 5, 2003, pp. 635–652.
[25]Zadeh,“The concept of a linguistic variable and its application to approximate reasoning,” Information Sciences, vol. 8, 1975, pp. 199–249.
[26]Lee, Chen, and Chang, “A fuzzy AHP and BSC approach for evaluating performance of IT development in the manufacturing industry in Taiwan,” Expert Systems with Applications, vol. 34, no. 1, 2008, pp. 96-107.
[27]William Ho, Xiaowei Xu and Prasanta K. Dey, “Multi-criteria decision making approaches for supplier evaluation and selection: A literature review,” European Journal of Operational Research, vol. 202, 2010, pp. 16–24.
[28]T. L. Saaty, The analytic hierarchy process, New York: McGraw-Hill, 1980.
[29]Lee, Kang and Wang, “Analysis of priority mix planning for the fabrication of semiconductors under uncertainty,” The International Journal of Advanced Manufacturing Technology, vol. 28, no. 3-4, 2006, pp. 351-361.
[30]C. W. Hsu and A. H. Hu, “Green supply chain management in the electronic industry,” International Journal of Environmental Science and Technology, vol. 5, no. 2, 2008, pp. 205-216.
[31]L. Meade and J. Sarkis, “Strategic analysis of logistics and supply chain management systems using analytic network process,” Transportation Research Part E: Logistics and Transportation Review, vol. 34, no. 3, 1998, pp. 201-215.
[32]C. Kahraman, U. Cebeci, D. Ruan, “Multi-attribute comparison of catering service companies using fuzzy AHP: The case of Turkey,” International Journal of Environmental Science and Technology, vol. 87, no. 2, 2004, pp. 171-184.
[33]F. Zahedi, “The analytic hierarchy process- a survey of the method and its applications,” Interfaces, vol. 16, no. 4, 1986, pp. 96-108.
[34]Altrock CV, Krause B., “Multi-criteria decision-making in German automotive industry using fuzzy logic,” Fuzzy Sets and Systems, vol. 63, 1994, pp. 375–380.
[35]Sjoerd M. Baas and Huibert Kwakernaak, “Rating and ranking of multiple aspect alternative using fuzzy sets,” Automatica, vol. 13, 1977, pp. 47–58.
[36]Chen, “A fuzzy multi-criteria decision making method for technology transfer strategy selection in biotechnology,” Fuzzy Sets and Systems, vol. 63, 1994,pp. 131–139.
[37]Tang and Tzeng, “A hierarchy fuzzy MCDM method for studying electronic marketing strategies in the information service industry,” Journal of International Information Management, vol. 8, 1998, pp.1-22.
[38]AtakanYucel and AliFuatGuneri, “A weighted additive fuzzy programming approach for multi-criteria supplier selection,” Expert Systems with Applications, vol. 38,2011,pp. 6281–6286.
[39]AslıSencerErdem and Emir Gocen, “Development of a decision support system for supplier evaluation and order allocation,” Expert Systems with Applications, vol. 39, 2012, pp. 4927–4937.
[40]Dickson, “An analysis of vendor selection systems and decisions,” Journal of Purchasing, vol.2,1966, pp.5-17.
[41]Ali FuatGuneri, AtakanYucel and GokhanAyyildiz, “An integrated fuzzy-lp approach for a supplier selection problem in supply chain management,” Expert Systems with Applications, vol. 36, 2009, pp. 9223–9228.
[42]Ali Kokangul and ZeynepSusuz, “Integrated analytical hierarch process andmathematical programming to supplier selection problem with quantity discount,” Applied Mathematical Modelling, vol. 33,2009, pp. 1417–1429.
[43]Arijit Bhattacharya, John Geraghty and Paul Young, “Supplier selection paradigm: An integrated hierarchical QFD methodology under multiple-criteria environment,” Applied Soft Computing, vol.10, 2010, pp.1013–1027.
[44]Atefeh Amindoust,et al., “Sustainable supplier selection: A ranking model based on fuzzy inference system,” Applied Soft Computing, vol. 12, 2012, pp.1668–1677.
[45]Chang, Chang, and Wu, “Fuzzy DEMATEL method for developing supplier selection criteria,” Expert Systems with Applications, vol. 38, 2011, pp. 1850–1858.
[46]Bikram K. Bahinipati, Arun Kanda and S.G. Deshmukh, “Horizontal collaboration in semiconductor manufacturing industry supply chain: An evaluation of collaboration intensity index,” Computers & Industrial Engineering, vol. 57, 2009, pp. 880–895.
[47]BehnamVahdani,et al., “A locally linear neuro-fuzzy model for supplier selection in cosmetics industry,” Applied Mathematical Modelling, vol. 36, 2012, pp. 4714–4727.
[48]Chen, Lin and Huang,” A fuzzy approach for supplier evaluation and selection in supply chain management,” International Journal of Production Economics, vol. 102, 2006, pp. 289–301.
[49]CeyhunAraz and IremOzkarahan, “Supplier evaluation and management system for strategic sourcing based on a new multicriteria sorting procedure,” International Journal of Production Economics, vol. 106, 2007, pp. 585–606.
[50]Chang, Chang and Wu, “Fuzzy DEMATEL method for developing supplier selection criteria,” Expert Systems with Applications, vol. 38, 2011, pp. 1850–1858.
[51]Chen and Chao,” Supplier selection using consistent fuzzy preference relations,” Expert Systems with Applications, vol. 39,2012, pp. 3233–3240.
[52]Chamodrakas, D. Batis, and D. Martakos, “Supplier selection in electronic marketplaces using satisficing and fuzzy AHP,” Expert Systems with Applications, vol. 37, 2011, pp. 490–498.
[53]Chun and Kun, “Enhancing the efficacy of supplier selection decision-making on the initial stage of new product development: A hybrid fuzzy approach considering the strategic and operational factors simultaneously,” Expert Systems with Applications, vol. 36, 2009, pp. 11271–11281.
[54]Ming-Lang Tseng, Anthony S.F. Chiu, “Evaluating firm’s green supply chain management in linguistic preferences,” Journal of Cleaner Production, vol. 40, 2013, pp. 22–31.
[55]Felix T.S. Chan and Niraj Kumar, “Global supplier development considering risk factors using fuzzy extended AHP-based approach,” Omega, vol. 35, 2007, pp. 417–431.
[56]Chen, “Structured methodology for supplier selection and evaluation,” Information Sciences, Vol. 181, 2011, pp. 1651–1670.
[57]S.H. Ghodsypour and C. O’Brien, “A decision support system for supplier selection using an integrated analytic hierarchy process and linear programming,” International Journal of Production Economics, vol. 56–57, 1998,pp. 199–212.
[58]Li and Lin, “Accessing information sharing and information quality in supply chain management,” Decision Support Systems, Vol. 42, 2006, pp. 1641–1656.
[59]Lee, Chang and Lin, “An evaluation model of buyer–supplier relationships in high-tech industry —The case of an electronic components manufacturer in Taiwan,” Computers & Industrial Engineering, vol. 57, 2009, pp. 1417–1430.
[60]Lee,et al., “A green supplier selection model for high-tech industry,” Expert Systems with Applications, vol. 36, 2009, pp. 7917–7927.
[61]MithatZeydan, CuneytColpan and CemalCobanog˘lu,”A combined methodology for supplier selection and performance evaluation,” Expert Systems with Applications, vol. 38, 2011, pp. 2741-2751.
[62]Hosang Jung, ”A fuzzy AHP–GP approach for integrated production-planning considering manufacturing partners,” Expert Systems with Applications, vol. 38, 2011, pp. 5833-5840.
[63]Yang, et al., “Vendor selection by integrated fuzzy MCDM techniques with independent and interdependent relationships,” Information Sciences, vol. 178, 2008,pp. 4166-4183.
[64]SamrandKhaleie, Mehdi Fasangharia and EnsiTavassoli, “Supplier selection using a novel intuitionist fuzzy clustering approach,” Applied Soft Computing, vol.12, 2012, pp. 1741-1754.
[65]S. Vinodh, R. AneshRamiya and S.G. Gautham,”Application of fuzzy analytic network process for supplier selection in a manufacturing organisation,”Expert Systems with Applications, vol. 38, 2011, pp. 272-280.
[66]Sung Ho Ha and Ramayya Krishnan, ”A hybrid approach to supplier selection for the maintenance of a competitive supply chain,” Expert Systems with Applications, vol. 36, 2009, pp. 11271–11281.
[67]Seungwook Park, Janet L. Hartley and Darryl Wilson, ”Quality management practices and their relationship to buyer’ssupplier ratings: a study in the Korean automotive industry,” Journal of Operations Management, vol. 19, 2001, pp. 695-712.
[68]SemihOnut, SelinSoner Kara andElif Is ik, “Long term supplier selection using a combined fuzzy MCDM approach: A case study for a telecommunication company,” Expert Systems with Applications, vol. 36, 2009, pp. 3887-3895.
[69]Wang, “A fuzzy linguistic computing approach to supplier evaluation,” Applied Mathematical Modeling, vol. 34, 2010, pp.3130-3141.
[70]Lin, et al., “A novel hybrid MCDM approach for outsourcing vendor selection: A case studyfor a semiconductor company in Taiwan,” Expert Systems with Applications, vol. 37, 2010,pp. 4796-4804.
[71]Wu, “A systematic stochastic efficiency analysis model and application to international supplier performance evaluation,” Expert Systems with Applications, vol. 37, 2010, pp. 6257-6264.
[72]Giuseppe Bruno, et al., “AHP-based approaches for supplier evaluation: Problems and perspectives,” Journal of Purchasing and Supply Management, vol. 18, 2012, pp. 159–172.
[73]SamanHassanzadeh Amin and JafarRazmi, “An integrated fuzzy model for supplier management: A case study of ISPselection and evaluation,” Expert Systems with Applications, vol. 36, 2009, pp. 8639-8648.
[74]MazaherGhorbani, Mahdi Bahrami and S. Mohammad Arabzad, “An Integrated Model For Supplier Selection and OrderAllocation; Using Shannon Entropy, SWOT and Linear Programming,” Expert Systems with Applications, vol. 38, 2011, pp.334-342.
[75]S. Vinodh, R. AneshRamiya and S.G. Gautham, “Application of fuzzy analytic network process for supplier selection in a manufacturing organization,” Expert Systems with Applications, vol. 38, 2011, pp. 272-280.
[76]Tseng, “Green supply chain management with linguistic preferences and incomplete information,” Applied Soft Computing, vol. 11, 2011, pp. 4894–4903.
[77]Tseng, Chiang and Lan, “Selection of optimal supplier in supply chain management strategy with analytic network process and choquet integral,” Computers & Industrial Engineering, vol. 57, 2009, pp. 330-340.
[78]Hsu, Wang and Tzeng,“The best vendor selection for conducting the recycled material based on a hybrid MCDM model combining DANP with VIKOR,” Resources, Conservation and Recycling, vol. 66, 2012, pp. 95-111.
[79]K. Krishna Veni, R. Rajesh and S. Pugazhendhi, “Development of Decision Making Model Using Integrated AHP and DEA for Vendor Selection,”Procedia Engineering, vol. 38, 2012, pp. 3700-3708.
[80]SamanHassanzadeh Amin, JafarRazmiandGuoqing Zhang, “Supplier selection and order allocation based on fuzzy SWOT analysis and fuzzy linear programming,” Expert Systems with Applications, vol. 38, 2011, pp. 334–342.


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