目前車用產業中，針對沖壓鐵件供應商選擇，並沒有完整的供應商選擇方法供參考。而近幾年全球市場原材料價格波動，影響整個大環境狀況不好，導致企業在面臨各種決策需更謹慎，對於第一步供應商選擇更顯得相當重要。
車用產業其與其他產業不同之處，主要差異為安全法規規範和流程稽核規範，而IATF 16949及VDA 6.3皆為車用產業獨有的稽核規範條例。此研究個案為沖壓鐵件供應商，以此為供應商選擇方法進行說明，並說明車用面板制式五大合約及常見貿易條款。
供應商選擇方法中，對於供應商選擇準則與方法相關研究相當的多，大部分以多準則決策方法 (Multiple Criteria Decision Making, MCDM) 為建立供應商選擇架構，搭配使用群體決策法 (Group Decision Making, GDM) 更使得此決策更有依據。
MCDM方法論主要步驟為評估 (Rating) 及排序 (Ranking)。經由車用三個部門，PD、SQE、GPT平台長和專家代表問卷調查結果，決定車用面板模組之沖壓鐵件供應商選擇準則，及各準則成對比較權重設定，即完成評估 (Rating) 的步驟。藉由供應商基本資料及相關準則調查結果，對每一項準則進行語意評分，綜合權重的決策矩陣 (Decision Matrix) 轉換和計算，達到供應商排序 (Ranking) 的步驟。
本研究採用MCDM中常見之層級分析法 (AHP) 與理想解近似度偏好順序評估法(TOPSIS)，以AHP將準則成對比較決定相對權重，之後再以TOPSIS的正理想解 (Positive Ideal Solution, PIS) 與負理想解 (Negative Ideal Solution, NIS) 進行計算，排序出各方案 (供應商) 與正理想解和負理想解的距離，選出最適車用面板模組之沖壓鐵件供應商選擇。

At present, in the automotive industry, there is no complete supplier selection method for reference in terms of supplier selection for stamping metal parts. In recent years, the price fluctuations of raw materials in the global market have affected the overall bad environment, causing companies to be more cautious in making various decisions, which is even more important for the first step of supplier selection.
The main differences between the automotive industry and other industries are safety regulations and process audit specifications, as IATF 16949 and VDA 6.3 are unique audit regulations for the automotive industry. This research case is a supplier of stamping metal parts, which is used to illustrate the method of supplier selection, the five standard major contracts, and common trade terms for automotive display module.
Among the supplier selection methods, there are quite much research on supplier selection criteria and methods, most of which use Multiple Criteria Decision Making (MCDM) to establish a supplier selection framework, combined with Group Decision Making (GDM) to make the decision more justified.
The main steps of the MCDM methodology are Rating and Ranking. Through the survey results of the three automotive departments, PD, SQE, GPT platform leaders and expert representatives, determine the selection criteria for the stamping metal supplier of the automotive display module, and set the weight of each criterion in pairs, then the evaluation is completed (Rating).
Based on the basic information of suppliers and the survey results of related criteria, semantic scoring is carried out for each criterion, and the decision matrix conversion and calculation of comprehensive weights are used to achieve the steps of supplier ranking.
This study adopts the Analytical Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and uses AHP to compare the criteria in pairs to determine the relative weight, then uses the calculation results of Positive Ideal Solution (PIS) of and Negative Ideal Solution (NIS) of TOPSIS and sorts out the distance between each solution (suppliers) from PIS to select the most suitable supplier of stamping metal supplier of automotive display module.

中文部分
CVH 中興報關 (2010)，資料來源:
https://www.chunghsin.com.tw/edcontent.php?lang=tw&tb=4&ot=all
VDA 6.3:2016 過程稽核 (2019)，資料來源:https://www.isoleader.com.tw/home/iso- coaching-detail/VDA6.3
IATF16949-淺談 IATF 16949 五大核心管理工具 (2019)，資料來源: https://iso.24go.com.tw/five-core-tools/
六大重點-秒懂車用多晶片模組 AEC-Q104 規範 (2018)，資料來源: https://www.istgroup.com/tw/tech_20180411
群創光電-新供應商申請相關文件下載 (2021)，資料來源: https://www.innolux.com/tw/supplier/new_supplier_application.html
群創光電-公司簡介 (2021)，資料來源: https://www.innolux.com/tw/about_innolux/company_overview.html
群創線上秀新品，強攻車用、元宇宙商機 (2022)，資料來源: https://www.moneydj.com/kmdj/news/newsviewer.aspx?a=f2ebf8e6-fbe2-4aef-ab82- 51ce6629ab3d
進入電動車供應鏈必備-國際可靠度品質車規五步驟一次解析 (2021)，資料來源: https://www.istgroup.com/tw/tech_20210420-automotive-electronics-reliability/
財經 M 平方-全球汽車銷售數量 (2020)，資料來源: https://www.macromicro.me/charts/24856/global-car-sales
財經 M 平方-中國-各鋼品現貨價格 (2022)，資料來源: https://www.macromicro.me/collections/20/mm-steel/219/steel-price
鋼板 (SPHC SPCC SECC SGCC SGLC 馬口鐵)-金長谷工業製造加工廠 (2021)，資料 來源:https://88jcg.com/news1-8.html
宋貴修 (2010)，台灣傳統沖壓產業未來發展之分析-以某公司為例，國立交通大學， 管理學院，高階主管管理碩士學程
林穎毅 (2006)，光電產品於車用市場之應用分析，光連雙月刊，第 65 期，第 10 頁 謝金明 (2014)，利用模糊多準則決策方法於石化產業之承攬商選擇研究，國立成通
大學工業與資訊管理學系，碩士在職專班
黃祖猶 (2017)，IATF 16949:2016 汽車行業品質管理系統標準新要求條文介紹
(上)，品質月刊，第 53 第 1 期，第 14 頁
馮正民 (2006)，多準則決策分析方法簡報，交通大學交通運輸研究所 張紹勳 (2012)，模糊多準則評估法及統計，五南圖書出版公司 鄧振源 (2012)，多準則決策分析-方法與應用，鼎茂圖書
英文部分
Advanced Analytic Techniques Blog (2012), MCDM Methodolies-Applications and other Stats 1999-2009, resource: http://advat.blogspot.tw/2012/03/mcdm-methodolies- applications-and-other.html
Amiri, M. P. (2010), Project selection for oil-fields development by using the AHP and fuzzy TOPSIS methods, Expert Systems with Applications, 37, 6218-6224
Bell, D. E., Keeney, R. L., and Raiffa, H. (1977), Conflicting Objectives in Decisions, John Wiley and Sons
Buckley, J. J. (1985), Fuzzy hierarchical analysis, Fuzzy Sets and Systems, 15, 21-31 Bui, T. X. (1987), Co-oP: A Group Decision Support System for Cooperative Multiple
Criteria Group Decision Making, Springer
Chai, J., Liu, J. N. K., and Ngai, E. W. T. (2013), Application of decision-making techniques in supplier selection: A systematic review of literature, Expert Systems with Applications, 40(10), 3872-3885
Chan, F. T. S. and Kumar, N. (2007), Global supplier development considering risk factors using fuzzy extended AHP-based approach, Omega, 35(4), 417-431
Choi, H. A., Suh, E. H., and Suh, C. K. (1994), Analytic hierarchy process: It can work for group decision support systems, Computers and Industrial Engineering, 27(1-4), 167- 171
Delgado, M., Herrera, F., Herrera-Viedma, E., and Martínez, L. (1998), Combining numerical and linguistic information in group decision making, Information Sciences, 107(1-4), 177-194
Deng, H., Yeh, C. H., and Willis, R. J. (2000), Inter-company comparison using modified TOPSIS with objective weights, Computers and Operations Research, 27(10), 963- 973
Dickson, G. W. (1966), An analysis of vendor selection systems and decisions, Journal of Purchasing
Gencer C. and Gürpinar D. (2007), Analytic network process in supplier selection: A case study in an electronic firm, Applied Mathematical Modelling, 31(11), 2475-2486
Hwang, C. L. and Yoon, K. (1981), Multiple Attribute Decision Making, Springer
Hwang, C. L. and Yoon, K. (1995), Multiple Attribute Decision Making: An Introduction, SAGE Publications
Janic, M. (2003), Multicriteria Evaluation of High-speed Rail, Transrapid Maglev and Air Passenger Transport in Europe, 26(6), Taylor and Francis
Jarke, M. (1986), Knowledge sharing and negotiation support in multiperson decision support systems, Decision Support Systems, 2(1), 93-102
Jelassi, T., Kersten, G., and Zionts, S. (1990), An Introduction to Group Decision and Negotiation Support, Readings in Multiple Criteria Decision Aid
Kahraman, C. (2008), Fuzzy Multi-Criteria Decision Making: Theory and Applications with Recent Developments, Springer
Lin, M. C., Wang, C. C., Chen, M. S., and Chang, C. A. (2008), Using AHP and TOPSIS approaches in customer-driven product design process, Computers in Industry, 59(1), 17-31
Miller, G. A. (1956), The magical number seven plus or minus two: Some limits on our capacity for processing information, Psychological Review, 63, 81-97
Saaty, T. L. (1980), The Analytic Hierarchy Process, New York: McGraw Hill., Revised editions, Paperback (1996, 2000), Pittsburgh: RWS Publications
Shih, H. S., Shyur, H. J., and Lee, E. S. (2007), An extension of TOPSIS for group decision making, Mathematical and Computer Modelling, 45(7-8), 801-813
Sun, C. C. (2010), A performance evaluation model by integrating fuzzy AHP and fuzzy TOPSIS methods, Expert Systems with Applications, 37, 7745-7754
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
Xia, W. and Wu, Z. (2007), Supplier selection with multiple criteria in volume discount environments, Omega, 35(5), 494-504