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Priority mix planning for semiconductor fabrication by fuzzy AHP ranking
Affiliation:1. Department of Industrial Engineering and Management, National Chin-Yi Institute of Technology, Taiwan;2. Department of Industrial Management, Chung Hua University, Taiwan;1. Institute of Industrial Engineering, National Taiwan University, Taipei, Taiwan, ROC;2. Mines Saint-Etienne, Univ. Clermont Auvergne, CNRS, UMR 6158 LIMOS, CMP, Department of Manufacturing Sciences and Logistics, Gardanne, France;3. Department of Accounting, Auditing and Business Analytics, BI Norwegian Business School, Oslo, Norway;4. Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan, ROC;1. Department of Chemical Engineering, National Cheng Kung University, Tainan, 70101, Taiwan, ROC;2. Key Laboratory of Advanced Control and Optimization for Chemical Processes (East China University of Science and Technology), Ministry of Education, Shanghai 200237, PR China
Abstract:With today’s keen competition, semiconductor market has changed from producer-oriented to customer-oriented. To be successful, companies need to consider both customer satisfaction in demand and the ultimate profit goal of companies. Semiconductor fabricators today must face an environment with multi-product types and multi-priority orders. Since semiconductor fabrication has a very complicated production process, the production planning of different products types and priority levels is an even more difficult task to experts. The objective of this study is to construct an analytical approach under a fuzzy subjective judgment environment, in which fuzzy analytic hierarchy process (AHP) method with entropy weight is utilized to deal with uncertainty, to generate performance ranking of different priority mixes. The results provide guidance to experts in a fab regarding strategies for accepting orders with the consideration of manufacturing efficiency in the aspects of product, equipment efficiency and finance.
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