近年來，隨著半導體需求的增加，又有不可預期的情況發生，企業倉庫 選址在供應鏈管理中變得至關重要。本研究旨在利用分析層級程序法（AHP） 評估半導體行業，和個案公司I對倉庫選址策略的優劣。透過專家問卷調查收 集數據，並對成本、可靠性、靈活性、供應及需求風險等五個主要準則，十 二個屬性進行了權重分析，並計算出替代方案的權重，來得出最合理的解決 方案。 研究結果顯示，成本和可靠性是選擇倉庫位置的最關鍵因素，其屬性層 面則會根據替代方案的不同而有明顯差異，可以得出兩個替代方案皆有不可 取代的因素。本研究為半導體公司提供了一個系統化的選址評估方法，結合 了業界前輩的觀點及現實層面的考量，根據個案公司現況提出最佳解決方案 及未來建議方向，實務上幫助半導體廠商釐清決策時短期或長期策略中最優 先的考量因素。

In recent years, as the demand for semiconductors has increased and unpredictable situations have occurred, corporate warehouse location selection has become crucial in supply chain management. This study aims to use the Analytical Hierarchy Process (AHP) to evaluate the advantages and disadvantages of the warehouse location strategy of the semiconductor industry and case company I. Data were collected through expert questionnaires, and weight analysis was conducted on five main criteria, including cost, reliability, flexibility, supply and demand risk, and twelve attributes, and the weights of alternatives were calculated to arrive at the most reasonable solution. The research results show that cost and reliability are the most critical factors in choosing a warehouse location, and their attributes will vary significantly depending on the alternatives. It can be concluded that both alternatives have irreplaceable factors. This study provides a systematic site selection evaluation method for semiconductor companies. It combines the views of industry predecessors and practical considerations, proposes the best solution and future suggestions based on the current situation of the case company, and helps semiconductor manufacturers clarify their decisions in practice. The most important consideration in short-term or long-term strategies.

中文部分

鄧振源、曾國雄 (1989) 。層級分析法 (AHP) 的內涵特性與應用。中國統計學報，27:7 卷，13767-13786。

英文部分

Saaty, T.L. (1980). The Analytic Hierarchy Process. McGraw-Hill, New York.

Hassan, M., Chakma, M., & Hasan, Z. (2020, July). An AHP approach for cold storage warehouse site selection: a case study in Bangladesh. In 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT) (pp. 1-6). IEEE.

Korpela, J., Lehmusvaara, A., & Nisonen, J. (2007). Warehouse operator selection by combining AHP and DEA methodologies. International Journal of Production Economics, 108(1-2), 135-142.

Sales, A. C. M., Guimarães, L. G. D. A., Veiga Neto, A. R., El-Aouar, W. A., & Pereira, G. R. (2020). Risk assessment model in inventory management using the AHP method. Gestão & Produção, 27, e4537.
Hadi-Vencheh, A., & Mohamadghasemi, A. (2011). A fuzzy AHP-DEA approach for multiple criteria ABC inventory classification. Expert Systems with Applications, 38(4), 3346-3352.

Pérez Vergara, I. G., Julián Andrés Arias Sánchez, Poveda-Bautista, R., & Jose- Antonio Diego-Mas. (2020). Improving distributed decision making in inventory management: A combined ABC-AHP approach supported by teamwork. Complexity, 2020, 13.

Roh, S. Y., Jang, H. M., & Han, C. H. (2013). Warehouse location decision factors in humanitarian relief logistics. The Asian Journal of Shipping and Logistics, 29(1), 103-120.

Batra, G., Nolde, K., Santhanam, N., & Vrijen, R. (2018). Right product, right time, right location: Quantifying the semiconductor supply chain. McKinsey & Company.

Chen, M. C., Hsiao, Y. H., & Huang, H. Y. (2016). Semiconductor supply chain planning with decisions of decoupling point and VMI scenario. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 47(5), 856-868.

Cergibozan, C., & Golcuk, I. (2024). Fuzzy best–worst method–based approach for warehouse location selection and a case study in Izmir. Kybernetes.

Wutthisirisart, P., Sir, M. Y., & Noble, J. S. (2015). The two-warehouse material location selection problem. International Journal of Production Economics, 170, 780-789.

Özcan, T., Çelebi, N., & Esnaf, Ş. (2011). Comparative analysis of multi-criteria decision making methodologies and implementation of a warehouse location selection problem. Expert Systems with Applications, 38(8), 9773-9779.

Dey, B., Bairagi, B., Sarkar, B., & Sanyal, S. K. (2016). Warehouse location selection by fuzzy multi-criteria decision making methodologies based on subjective and objective criteria. International Journal of Management Science and Engineering Management, 11(4), 262-278.

Min, H., & Melachrinoudis, E. (1999). The relocation of a hybrid manufacturing/ distribution facility from supply chain perspectives: A case study, omega. The International Journal of Management Science, 27, 75–85.

Ehsanifar, M., Wood, D. A., & Babaie, A. (2021). UTASTAR method and its application in multi-criteria warehouse location selection. Operations Management Research, 14, 202-215.

Singh, R. K., Chaudhary, N., & Saxena, N. (2018). Selection of warehouse location for a global supply chain: A case study. IIMB management review, 30(4), 343- 356.

Bianchini, A., Benci, A., Pellegrini, M., & Rossi, J. (2019). Supply chain redesign for lead-time reduction through Kraljic purchasing portfolio and AHP integration. Benchmarking: An International Journal, 26(4), 1194-1209.

網路資料：

SEMI.(2024). 2024 年半導體產業趨勢全解析：從設備到材料超過 20 項半導體市場報告 協助企業營運決策 Retrieved from https://www.semi.org/zh/blog-2024-semiconductor-market-trend

王彤勻. (2014). InFO 比 CoWoS 成本更低，台積 3D IC 封裝再突破. MoneyDJ 理財網. Retrieved from https://www.moneydj.com/kmdj/news/newsviewer.aspx?a=a78aff30-7ad8- 49df-8be9-42819112faaf