研究生: |
汪添壽 Wang, Tien-Shou |
---|---|
論文名稱: |
以AHP及DEMATEL方法探討歐美日汽車廠商遴選扣件供應商之關鍵因素 Using AHP and DEMATEL to Investigate the Key Factors for European, American & Japanese Automotive Firms Selecting Fasteners Suppliers |
指導教授: |
蘇友珊
Su, Yu-Shan |
學位類別: |
碩士 Master |
系所名稱: |
工業教育學系 Department of Industrial Education |
論文出版年: | 2017 |
畢業學年度: | 105 |
語文別: | 中文 |
論文頁數: | 211 |
中文關鍵詞: | 供應商選擇 、層級分析法 、實驗室分析法 |
英文關鍵詞: | Supplier Selection, AHP, DEMATEL |
DOI URL: | https://doi.org/10.6345/NTNU202202946 |
論文種類: | 學術論文 |
相關次數: | 點閱:221 下載:0 |
分享至: |
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
台灣是世界的扣件王國,2014年外銷之扣件高達美金42.5億元,排名世界第三僅次於德國與中國,台灣也是目前歐洲、美國、日本等先進國家汽車OEM扣件大廠國際採購的重鎮。台灣扣件製造商超過2,000家。台灣雖然只是個小島,但要在2,000多家的茫茫廠商大海中尋找優良之代工OEM廠商,成為這些汽車OEM扣件大廠頭痛的問題。
本研究有三個目的,第一、探討汽車OEM扣件供應商之評估要素以及其權重,並發展汽車OEM扣件應商評選之模型與方法。第二、探討扣件供應商如想成為汽車OEM扣件合格廠商,就評估要素而言,公司資源投入及改善的優先次序。第三、探討歐、美、日三大車系對供應商評估看法之差異以及扣件廠商想成為三大車系供應商,公司資源投入改善之優先次序。
本研究透過供應商遴選的相關文獻探討,使用層級分析法(AHP)與決策實驗室分析法(DEMATEL),並訪談美國車系、歐洲車系、及日本車系等汽車扣件Tier-1扣件大廠12位高級主管,歸納出汽車扣件OEM廠的遴選模式。包含成本(Cost)、品質(Quality)、供貨(Delivery)、技術(Technology)、服務(Service)、商譽(Reputation)等六大構面與18個關鍵因素。
本研究依以上兩種方法,求出全球及三大車系六大構面及18個評估因素之權重,同時也透過因果圖求出18個關鍵因子之相互關係。本研究發現,『品質』在汽車扣件廠商評估中最重要,然而就供應商而言,要成為優良汽車扣件供應商,卻必須先從『服務』與『商譽』進行改善。
本研究之實務貢獻在為汽車OEM扣件採購者提供一套多準則決策之供應商評估辦法以及供應商如何優先投入資源內部改善使之可以成為合格供應商之參考。本研究之學術貢獻在補充有關汽車扣件與三大車系對汽車扣件供應商評估研究之缺口。最後,本研究之限制在於問卷題項過多,可能造成填答者因疲憊造成答案之偏差,後序研究者應考量如何精簡題項及答題方式。
Taiwan is the king of Fasteners in the world. The total exported value was USD 4.25 billion in 2014. It was the top three after Germany and China . Taiwan is the important area for Europe, America, and Japan automotive OEM fasteners companiess to have the IPO (International Procurement Office). However, there are more than 2,000 of fasteners manufacturers in Taiwan. It was very difficult for the IPOs to find good fit suppliers due to too many suppliers in Taiwan.
There are three purposes in this paper: First, this paper aims to determine the dimensions and key factors for the automotive fasteners supplier selection. Second, the priorities for the fasteners companies to put resource for improvement if they want to become an automotive OEM fasteners suppliers evaluated by those key factors. Third, to analysis the differences of first and second points for the world SC(Supply Chain) with Europeean, American and Japan of the three main SCs.
We reviewed many papers related to supplier selection, used the AHP (Analytic Hierarchy Process) and DEMATEL (Decision Making Trial and Evaluation Laboratory) methods. We surveyed 12 experts of high level managers whose companies are the Tier-1 fasteners to European, American and Japan car companies. The result come out the model for OEM fasteners supplier selection. There are six dimensions(Cost, Quality, Delivery, Technology, Service & Reputation) and 18 key factors under it.
The results came out the weighs of the 18 kay factors for the world SC and the three main SCs. We also got the correlation for the 18 key factors via the causal diagram. We found that “Quality” is the most important dimension for the automotive fasteners supplier selection. But supplier needs to put company resource for the improvement start from “Service” and “Reputation” before evaluated as a good supplier.
The Practocal Implication for this study is expected to provide a MCDM(Muliple Criteria Decision Making) method for supplier evaluation and the priorities of company resource for improvement for the suppliers in the automotive OEM fasteners industry. The Academic Contribution for this paper is to enhance the lack of the study for automotive fasteners supplier evaluation and also the study for the differences among the three main SCs. Finally, the Research Limitation for this paper was too many questions in the survey form. The interviewees may too tired to answer such many questions. The follow up researcher need to simplify the questionares and the way of anwering questions to avoid deviation.
壹、中文部份
丁傑隆(2016)。後進國家廠商的技術學習:以馬來西亞汽車零組件業為例(未出版之碩士論文)。國立台灣大學工學院建築與城鄉研究所,台北市。
中華民國螺絲類產品進出口統計資料。台灣螺絲工業同業公會網站。取自http://www.fasteners.org.tw/Default.aspx?tabindex=8&tabid=11
每日頭條編輯部(2016)。一輛汽車由多少個零部件組成?答案在這裡!。每日頭條。取自https://kknews.cc/zh-tw/car/jrve8p.html
施淳真(2015)。解讀全球汽車扣件進出口統計與趨勢分析。螺絲世界雙月刊,152,86-90。
紀岱玲(2006)。供應商績效評估研究-結合ANP及DEMATEL之應用(未出版之碩士論文)。國立政治大學資訊管理研究所,台北市。
高明瑞、黃義俊(2000)。影響企業推行綠色管理因素之實證研究。交大管理學報,20(2),113-148。
高銘汶(2007)。國際車廠/各階零組件廠產品驗證及供應商審核流程模式分析。車輛研測資訊,2007-04,2-11。取自https://www.artc.org.tw/chinese/03_service/03_02detail.aspx?pid=1290
陳政全(2009)。以DEMATEL 方法探討建廠專案工程的關鍵成功因素(未出版之碩士論文)。 私立中華大學科技管理研究所,新竹。
陳銘崑、周明芳(2016)。IC設計業供應商評選之研究。科際整合管理研討會。234-247。
智研諮詢編輯部(2015)。2015-2020年中國汽車零配件行業市場監測及投資前景預測報告。中國北京市:北京智研科信諮詢有限公司。
惠達編輯部(2016)。2015年台灣扣件行業調查。螺絲世界雙月刊,159,62-87。
鄧振源、曾國雄(1989)。分析層級法的內涵特性與應用(上),中國統計學報,27(6),5-27。
鄧振源、曾國雄(1989)。分析層級法的內涵特性與應用(下),中國統計學報,27(7),1-20。
蔡雅寧(2009)。結合AHP與DEMATEL探討供應商評選準則之優先次序與因果關係-以汽車零配件產業為例(未出版之碩士論文)。國立彰化師範大學企業管理學系,彰化縣。
管孟忠、林君孺、陳之寧(2012)。應用複合多評準決策建立創新行銷專案績效評價體系。資訊與管理科學, 5(2),1-16.
德商殷士諦(Tigges)股份有限公司台灣分公司網站資料。取自http://www.tigges-group.com/tw/unternehmen_taiwan.html
顏瑞美、陳國雄(2012)。使用DEMATEL建構直銷商休閒阻礙模型。第十七屆直銷學術年會論文集。中國政法大學,北京。
貳、英文部份
Alonso, J. A., & Lamata, M. T. (2006). Consistency in the analytic hierarchy process: a new approach. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 14(4), 445-459.
Altuntas, S., & Dereli, T. (2015). A novel approach based on DEMATEL method and patent citation analysis for prioritizing a portfolio of investment projects. Expert systems with Applications, 42(3), 1003-1012.
Altuntas, S., Selim, H., & Dereli, T. (2014). A fuzzy DEMATEL-based solution approach for facility layout problem: a case study. The International Journal of Advanced Manufacturing Technology, 73(5-8), 749-771.
Ataseven, C., & Nair, A. (2017). Assessment of supply chain integration and performance relationships: A meta-analytic investigation of the literature. International Journal of Production Economics, 185, 252-265.
Azadnia, A. H., Saman, M. Z. M., & Wong, K. Y. (2015). Sustainable supplier selection and order lot-sizing: an integrated multi-objective decision-making process. International Journal of Production Research, 53(2), 383-408.
Baležentis, A., & Baležentis, T. (2011). An innovative multi-criteria supplier selection based on two-tuple MULTIMOORA and hybrid data. Economic Computation and Economic Cybernetics Studies and Research, 45(2), 37-56.
Bhutia, P. W., & Phipon, R. (2012). Application of AHP and TOPSIS method for supplier selection problem. IOSR Journal of Engineering, 2(10), 43-50.
Brandes, O., Brege, S., & Brehmer, P. O. (2013). The Strategic Importance of Supplier Relationships in the Automotive Industry. International Journal of Engineering Business Management, 5(17).
Cieśla, M. (2016). Aluminium supplier selection for the automotive parts manufacturer. Metalurgija, 55(2), 237-240.
Chao, C., Scheuing, E.E., and Ruch, W.A. (1993). Purchasing performance evaluation: an investigation of different perspectives. International Journal of Purchasing and Materials Management Summer, 29 (3), 33–39.
Chen, L., Olhager, J., & Tang, O. (2014). Manufacturing facility location and sustainability: A literature review and research agenda. International Journal of Production Economics, 149, 154-163.
Cheraghi, S. H., Dadashzadeh, M., & Subramanian, M. (2011). Critical success factors for supplier selection: an update. Journal of Applied Business Research (JABR), 20(2).
Christopher, M. (2005). Logistics and supply chain management: creating value-added networks. Pearson education.
Council, S. C. (2010). Supply-chain operations reference-model. Overview of SCOR version, 10, 7-8
Dickson, G. W. (1966). An Analysis of Vendor Selection Systems and Decisions, Journal of Purchasing, 2(1), 5-17.
Dornier, P. P., Ernst, R., Fender, M., & Kouvelis, P. (2008). Global operations and logistics: Text and cases. John Wiley & Sons.
Dweiri, F., Kumar, S., Khan, S. A., & Jain, V. (2016). Designing an integrated AHP based decision support system for supplier selection in automotive industry. Expert Systems with Applications, 62, 273-283.
Dyer, J. H., & Chu, W. (2000). The determinants of trust in supplier-automaker relationships in the US, Japan and Korea. Journal of International Business Studies, 31(2), 259-285.
Estampe, D., Lamouri, S., Paris, J. L., & Brahim-Djelloul, S. (2013). A framework for analysing supply chain performance evaluation models. International Journal of Production Economics, 142(2), 247-258.
Ferdows, K. (1997). Making the most of foreign factories. Harvard Business Review 75, 73-88.
Florea, A. I. I., & Corbos, R. A. (2015). Supplier relationship strategies in the automotive industry: An international comparative analysis. Revista de Management Comparat International, 16(4), 451.
Fontela, E., & Gabus, A. (1976). Current perceptions of the world problematique. World Modeling: A Dialogue. North-Holland Publishing Company, Amsterdam/Oxford.
Gandhi, S., Mangla, S. K., Kumar, P., & Kumar, D. (2015). Evaluating factors in implementation of successful green supply chain management using DEMATEL: a case study. International Strategic Management Review, 3(1), 96-109.
Gazibey, Y., Kantemir, O., & Demirel, A. (2015). Interaction among the criteria affecting main battle tank selection: An analysis with DEMATEL method. Defence Science Journal, 65(5), 345-355.
Ghodsypour, S. H., & 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, 199-212.
Govindan, K., Khodaverdi, R., & Vafadarnikjoo, A. (2016). A grey DEMATEL approach to develop third-party logistics provider selection criteria. Industrial Management & Data Systems, 116(4), 690-722.
Govindan, K., Rajendran, S., Sarkis, J., & Murugesan, P. (2015). Multi criteria decision making approaches for green supplier evaluation and selection: a literature review. Journal of Cleaner Production, 98, 66-83.
Hoejmose, S., Brammer, S., & Millington, A. (2013). An empirical examination of the relationship between business strategy and socially responsible supply chain management. International Journal of Operations & Production Management, 33(5), 589-621.
Hsu, C. W., Kuo, T. C., Chen, S. H., & Hu, A. H. (2013). Using DEMATEL to develop a carbon management model of supplier selection in green supply chain management. Journal of Cleaner Production, 56, 164-172.
Huang, J. D., & Hu, M. H. (2013). Two-stage solution approach for supplier selection: A case study in a Taiwan automotive industry. International Journal of Computer Integrated Manufacturing, 26(3), 237-251.
IHS Automotive Data Center (2017). Global light vehicle production summary. IHS Automotive. Retrived from https://www.ihs.com/pdf/IHS-Automotive-Global-Summary-Production-LVP-12-16_222719110913052132.pdf
Jacobides, M. G., MacDuffie, J. P., & Tae, C. J. (2015). Agency, structure, and the dominance of OEMs: Change and stability in the automotive sector. Strategic Management Journal.
Jaiswal, P., & Kumar, A. (2016). Analyzing Barriers of Lean Manufacturing Adoption in Indian SMEs Using an Integrated Approach of Grey Decision Making Trial and Evaluation Laboratory (DEMATEL). In Proceedings of the World Congress on Engineering (Vol. 2).
Keskin, G. A. (2015). Using integrated fuzzy DEMATEL and fuzzy C: means algorithm for supplier evaluation and selection. International Journal of Production Research, 53(12), 3586-3602.
Kim, Y. H. (2006). Study on impact mechanism for beef cattle farming and importance of evaluating agricultural information in Korea using DEMATEL,PCA and AHP. Agricultural Information Research, 15(3), 267-280.
Laing, Keith (2016). Toyota tops global car sales with 10.5M in 2015. The Hill. Retrived from http://thehill.com/policy/transportation/267221-toyota-tops-global-auto-industry-in-2015-with-105-million-sales
Lee, A., Kang, H. Y., Lin, C. Y., & Wu, H. W. (2015, May). An Integrated Supplier Selection Model. In Proceedings of the 5th International Conference on IS Management and Evaluation 2015: ICIME 2015 (p. 67). Academic Conferences Limited.
Liker, J. K., & Choi, T. Y. (2004). Building deep supplier relationships. Harvard business review, 82(12), 104-113.
Liker, J. K., & Meier, D. (2006). The Toyota Way Field Book. Retrived from http://s3.amazonaws.com/academia.edu.documents/45108867/Toyota_Way_Fieldbook.pdf?AWSAccessKeyId=AKIAIWOWYYGZ2Y53UL3A&Expires=1499842533&Signature=xReVeIp8SJGfUoz5y81pBNFPuJY%3D&response-content-disposition=inline%3B%20filename%3DToyota_Way_Fieldbook.pdf
Liker, J. K. (2016). Striving for Excellence. The Routledge Companion to Lean Management, 9. Retrived from https://books.google.com.tw/books?hl=zh-TW&lr=&id=kDolDwAAQBAJ&oi=fnd&pg=PA9&dq=Liker,+J.+K.+(2016).+Striving+for+Excellence.+The+Routledge+Companion+to+Lean+Management,+9.+&ots=w92Z0Wq7AE&sig=cZHL0JX2ZI6zYo2swMey7LGYwag&redir_esc=y#v=onepage&q&f=true
MacCarthy, B. L., & Atthirawong, W. (2003). Factors affecting location decisions in international operations-a Delphi study. International Journal of Operations & Production Management, 23(7), 794-818.
MacCormack, A. D., Newman, L. J., & Rosenfield, D. B. (1994). The new dynamics of global manufacturing site location. Sloan management review, 35(4), 69-84.
McElroy, John (2012). How Volkswagen is run like no other car company. Retrived from http://www.autoblog.com/2012/12/06/how-volkswagen-is-run-like-no-other-car-company/
Meixell, M. J., & Gargeya, V. B. (2005). Global supply chain design: A literature review and critique. Transportation Research Part E: Logistics and Transportation Review, 41(6), 531-550.
OICA Data Center (2017). 2015 production statistics. International Organizationa of Motor Vehicle Manufacturers. Retrived from http://www.oica.net/2015-production-statistics/
Oke, S. A., & Onyegiri, I. E. (2016). Applying decision trial and evaluation laboratory as a decision tool for effective safety management system in aviation transport. KKU Engineering Journal, 43(4), 166-171.
Pai, Priyanka (2015). Top 10 largest car companies in the world. Tharawat Magazine. Retrived from http://www.tharawat-magazine.com/facts/10-largest-car-companies/#gs.PbvLurI
Rahman, S., & Wu, Y. C. J. (2011). Logistics outsourcing in China: the manufacturer-cum-supplier perspective. Supply Chain Management: An International Journal, 16(6), 462-473.
Rajesh, G., & Malliga, P. (2013). Supplier selection based on AHP QFD methodology. Procedia Engineering, 64, 1283-1292.
Rattanavijit, S., Somboonwiwat, T., & Khompatraporn, C. (2015). Analysis of Causal Competitive Factors of Thai Iron and Steel Supply Chain by DEMATEL Method. In Industrial Engineering, Management Science and Applications 2015 , 541-550. Retrived from https://link.springer.com/content/pdf/10.1007%2F978-3-662-47200-2.pdf
Saaty, T. L.(1980), The Analytic Hierarchy Process, New York: NY, McGraw-Hill.
Stadtler, H. (2015). Supply chain management: An overview. In Supply chain management and advanced planning , 3-28. Retrived from https://link.springer.com/content/pdf/10.1007%2F978-3-642-55309-7.pdf
Sultana, I., Ahmed, I., & Azeem, A. (2015). An integrated approach for multiple criteria supplier selection combining Fuzzy Delphi, Fuzzy AHP & Fuzzy TOPSIS. Journal of Intelligent & Fuzzy Systems, 29(4), 1273-1287.
Sumrit, D., & Anuntavoranich, P. (2013). Using DEMATEL method to analyze the causal relations on technological innovation capability evaluation factors in Thai technology-based firms. Int Trans J Eng Manag Appl Sci Technol, 4(2), 081-103.
Takeishi, A., & Fujimoto, T. (2001). Modularisation in the auto industry: interlinked multiple hierarchies of product, production and supplier systems. International Journal of Automotive Technology and Management, 1(4), 379-396.
Tate, W. L., Bals, L. (2017). Outsourcing/offshoring insights: going beyond reshoring to rightshoring. International Journal of Physical Distribution & Logistics Management, 47(2/3), 106-113.
Wei, S., Zhang, J., & Li, Z. (1997). A supplier-selecting system using a neural network. In Intelligent Processing Systems, 1997. ICIPS'97. 1997 IEEE International Conference on (Vol. 1, pp. 468-471). IEEE.
Weber, C. A., & Current, J. R. (1993). A multiobjective approach to vendor selection. European Journal of Operational Research, 68(2), 173-184.
Wu, H. H., & Tsai, Y. N. (2012). An integrated approach of AHP and DEMATEL methods in evaluating the criteria of auto spare parts industry. International Journal of Systems Science, 43(11), 2114-2124.
Wu, W. W. (2008). Choosing knowledge management strategies by using a combined ANP and DEMATEL approach. Expert Systems with Applications, 35(3), 828-835.
Wu, Y. C., Lin, B. W., Shih, C., & Chen, C. J. (2013). Communicating and prioritizing science and technology policy using AHP. Innovation, 15(4), 437-451.
Wu, Y. C. J., Huang, S. K., Goh, M., & Hsieh, Y. J. (2013). Global logistics management curriculum: perspective from practitioners in Taiwan. Supply Chain Management: An International Journal, 18(4), 376-388.
Xia, X., Govindan, K., & Zhu, Q. (2015). Analyzing internal barriers for automotive parts remanufacturers in China using grey-DEMATEL approach. Journal of Cleaner Production, 87, 811-825.
Yang, Y. P. O., Shieh, H. M., Leu, J. D., & Tzeng, G. H. (2008). A novel hybrid MCDM model combined with DEMATEL and ANP with applications. International journal of operations research, 5(3), 160-168.
Yang, Y. P. O., Shieh, H. M., & Tzeng, G. H. (2013). A VIKOR technique based on DEMATEL and ANP for information security risk control assessment. Information Sciences, 232, 482-500.