近年來科技產品推陳出新的速度增快，電子業製造商與供應商之間已從過去對立的關係逐漸轉變成合作模式。為符合顧客對於品質服務速度的要求，電子業由上到下都必需加強對於客戶與市場的應變能力。而疫情帶來前所未有的危機與機會，更使得採購管理機制更加受到重視。因此，藉由供應商評選指標來選擇供應商，對於企業提昇競爭力，增加獲利，減少風險與損失，成為電子業重要課題。
本論文所使用的模糊層級分析法 (Fuzzy AHP) 主要結合二套理論:模糊理論 (Fuzzy set theory) 及層級分析法 (Analytic hierarchy Process AHP)。模糊理論的原理，是在決策中將人為因素所造成的資訊模糊性和決策不確定性納入考慮。其優點在於可以數學方式顯示事件的模糊性及不確定性，並以公式化的工具來處理各種模稜兩可的問題。而層級分析法 (AHP) 則是已被熟知及廣泛運用的多準則決策工具。
本論文為了解消費性電子產品在研發階段的供應商評估因素準則排序，將文獻探討中的 Fuzzy AHP 研究方法及評估因素準則實際應用於個案。經專家意見選擇評估因素及準則，再以 Fuzzy AHP 計算權重，最後得到消費性電子產品在研發階段的各項供應商選擇因素準則的權重排序。期許研究結果能在消費型電子產品的研發階段找出最佳供應商評選準則，以達到提昇採購效率、減少管理成本、加強供應鏈合作關係、建立供應商評選標準之研究目的。

In recent years, the relationship between manufacturers and suppliers in the electronics industry has gradually changed from an antagonistic relationship to a cooperative model. Also, the unprecedented crisis and opportunity brought about by the epidemic has made the procurement management mechanism more important. Therefore, selecting suppliers based on supplier selection indicators has become an important issue for the electronics industry to enhance competitiveness, increase profits, and reduce risks and losses.
The Fuzzy AHP used in this paper mainly combines two sets of theories: Fuzzy set theory and Analytic hierarchy Process AHP. Its advantage is that it can show the ambiguity and uncertainty of events in a mathematical way, and deal with various ambiguous problems with formulaic tools.
This thesis applies the Fuzzy AHP research method and evaluation factor criteria in the literature to actual cases. It is hoped that the research results can find the best supplier selection criteria in the research and development stage of consumer electronics products, so as to achieve the research purpose of improving procurement efficiency, reducing management costs, strengthening supply chain cooperation, and establishing supplier selection standards.

Angeles, R., & Nath, R. (2001). Partner Congruence In Electronic Data Interchange (Edi)-Enabled Relationships. Journal of Business Logistics, 22(2), 22. https://doi.org/10.1002/j.2158-1592.2001.tb00006.x
Calmon, A. P., & Graves, S. E. (2017). Inventory Management In A Consumer Electronics Closed-Loop Supply Chain. Manufacturing & Service Operations Management, 19(4), 568–585. https://doi.org/10.1287/msom.2017.0622
Chan, F. T., Kumar, N., Tiwari, M. K., Lau, H. C. W., & Choy, K. L. T. (2008). Global supplier selection: a fuzzy-AHP approach. International Journal of Production Research, 46(14), 3825–3857. https://doi.org/10.1080/00207540600787200
Chen, C., & Mon, D. (1994). Evaluating weapon system by Analytical Hierarchy Process based on fuzzy scales. Fuzzy Sets and Systems, 63(1), 1–10. https://doi.org/10.1016/0165-0114(94)90140-6
Cooper, M., Lambert, D. M., & Pagh, J. D. (1997). Supply Chain Management: More Than a New Name for Logistics. The International Journal of Logistics Management, 8(1), 2–20. https://doi.org/10.1108/09574099710805556
Global Electronic Manufacturing Services Market Is Projected To Grow At A CAGR Of Over 6.5%. (2022, November 11). Credence Research. https://www.credenceresearch.com/news/global-electronic-manufacturing- services-market-press-release
Global Electronic Manufacturing Services Market Is Projected To Grow At A CAGR Of Over 6.5%. (2022, November 11). Credence Research. https://www.credenceresearch.com/news/global-electronic-manufacturing- services-market-press-release
Dickson, G. W. (1966). An Analysis Of Vendor Selection Systems And Decisions. Journal of Purchasing, 2(1), 5–17. https://doi.org/10.1111/j.1745- 493x.1966.tb00818.x
Dožić, S., Lutovac, T., & Kalić, M. (2017). Fuzzy AHP approach to passenger aircraft type selection. Journal of Air Transport Management, 68, 165–175. https://doi.org/10.1016/j.jairtraman.2017.08.003
Ellram, L. M., 1991, "Supply Chain Management: The Industrial Organization Perspective," International Journal of Physical Distribution & Logistics Management, Vol. 21, No. 1, pp. 13-22.
Evans, R. (1981). Product Involvement and Industrial Buying. Journal of Purchasing and Materials Management, 17(2), 23–28. https://doi.org/10.1111/j.1745- 493x.1981.tb00029.x
Gidiagba, J. O., Tartibu, L., & Okwu, M. O. (2023). Sustainable supplier selection in the oil and gas industry: An integrated multi-criteria decision making approach. Procedia Computer Science, 217, 1243–1255. https://doi.org/10.1016/j.procs.2022.12.323
Kahraman, C., Cebeci, U., & Ulukan, Z. (2003). Multi‐criteria supplier selection using fuzzy AHP. Logistics Information Management, 16(6), 382–394. https://doi.org/10.1108/09576050310503367
Kumar, D., & Garg, C. P. (2017). Evaluating sustainable supply chain indicators using fuzzy AHP. Benchmarking: An International Journal, 24(6), 1742–1766. https://doi.org/10.1108/bij-11-2015-0111
Lasek, M. (1992). Hierachical structures of fuzzy ratings in the analysis of strategic goals of enterprises. Fuzzy Sets and Systems, 50(2), 127–134. https://doi.org/10.1016/0165-0114(92)90211-l
Lehmann, D. R., & O’Shaughnessy, J. (1974). Difference in Attribute Importance for Different Industrial Products. Journal of Marketing, 38(2), 36–42. https://doi.org/10.2307/1250195
Lehmann, D. R., & O’Shaughnessy, J. (1982). Decision Criteria Used in Buying Different Categories of Products. Journal of Purchasing and Materials Management, 18(1), 9–14. https://doi.org/10.1111/j.1745-493x.1982.tb00048.x
Li, X., Yin, Y., Manrique, D. C., & Bäck, T. (2021). Lifecycle forecast for consumer technology products with limited sales data. International Journal of Production Economics, 239, 108206. https://doi.org/10.1016/j.ijpe.2021.108206
Madhok, A. (1995). Revisiting Multinational firms’ Tolerance for Joint Ventures: A Trust-Based approach. Journal of International Business Studies, 26(1), 117– 137. https://doi.org/10.1057/palgrave.jibs.8490168
Morris, B. G., & Cadogan, J. W. (2001). Partner Symmetries, Partner Conflict and the Quality of Joint Venture Marketing Strategy: An Empirical Investigation. Journal of Marketing Management, 17, 223–259. https://doi.org/10.1362/0267257012571474
Rani, S., Gupta, D., Garg, S., Jalilpiran, M., & Hossain, M. S. (2021). Consumer Electronic Devices: Evolution and Edge Security Solutions. IEEE Consumer Electronics Magazine, 11(2), 15–20. https://doi.org/10.1109/mce.2021.3062800
S. Yamaguchi, "A Design Method of Consumer Electronics Products Based on Supervisory Control and Model Checking," 2018 IEEE 8th International Conference on Consumer Electronics - Berlin (ICCE-Berlin), Berlin, Germany, 2018, pp. 1-4, doi: 10.1109/ICCE-Berlin.2018.8576214.
Saaty, T. L. (1994). How to Make a Decision: The Analytic Hierarchy Process. Interfaces, 24(6), 19–43. https://doi.org/10.1287/inte.24.6.19
Sharma, M., Vrat, P., & Shankar, R. (2006). A fuzzy programming approach for vendor selection problem in a supply chain. International Journal of Production Economics, 101(2), 273–285. https://doi.org/10.1016/j.ijpe.2005.01.005
Van Laarhoven, P. J. M., & Pedrycz, W. (1983). A fuzzy extension of Saaty’s priority theory. Fuzzy Sets and Systems, 11(1–3), 229–241. https://doi.org/10.1016/s0165-0114(83)80082-7
Vokurka, R. J. (1998). Supplier partnerships: A case study. Production and Inventory Management Journal, 39(1), 30-35. https://login.ezproxy.lib.ntust.edu.tw/login?url=https://www.proquest.com/schol arly-journals/supplier-partnerships-case-study/docview/199915053/se-2
Wilson, E. (1994). The Relative Importance of Supplier Selection Criteria: A Review and Update. International Journal of Purchasing and Materials Management, 30(2), 34–41. https://doi.org/10.1111/j.1745-493x.1994.tb00195.x
丁婉玉(2012)。應用模糊多準則決策於供應商選擇之研究–以行動通訊認證實驗室為例。〔碩士論文。國立臺灣科技大學〕臺灣博碩士論文知識加值系統。https://hdl.handle.net/11296/m643t4。
何應欽、王文博、張歐權(2008)。通用型、分類及次分類供應商評選模式之比較--以臺灣電源供應器製造商為研究對象。商管科技季刊，頁 379-416。
吳玫瑩、黃暉智、徐聖訓(2007)。資訊科技產業的供應商評選量表之建構。Journal of Data Analysis，2(5)，69-94。https://doi.org/10.6338/JDA.200710_2(5).0005
沈椿喜(2020)。電子產業採購風險管理評估指標之研究。〔碩士論文。國立政治大學〕臺灣博碩士論文知識加值系統。https://hdl.handle.net/11296/r3qpq2。
洪曉辰(2007)，「應用分析網路程序法於企業供應商之評選」，碩士論文，東吳大學商學院企業管理學系。
高敬原(2022)。CES 重返實體展! 2022 科技產業趨勢鎖定 AI、元宇宙，最大挑戰在供應鏈。數位時代 BusinessNext。https://www.bnext.com.tw/article/67113/ces-2022-tech-trends
畢威寧(2005)。結合 AHP 與 TOPSIS 法於供應商績效評估之研究。科學與工程技術期刊，1(1)，75-83。https://doi.org/10.7117/JSET.200506.0075
陳星豪(2005)。以模糊層級分析法發展多準則供應商選擇之研究。〔碩士論文。國立臺灣科技大學〕臺灣博碩士論文知識加值系統。https://hdl.handle.net/11296/vvpnzs。
羅明琇(2022)。疫情下現形的供應鏈韌性。哈佛商業評論全球繁體中文版，https://www.hbrtaiwan.com/article/21213/supply-chain-resilience-in-the- pandemic