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Product Mix Optimization for Semiconductor Manufacturing Based on AHP and ANP Analysis

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Abstract

In a competitive market, a company needs to utilize its available capacity efficiently in order to acquire high profit. The purpose of this paper is to present effective approaches to find a set of product mix optimal for the company to achieve the optimal manufacturing. Analytic hierarchy process (AHP) and analytic network process (ANP) approaches are taken to analyse multiple process inputs and outputs, incorporating experts’ opinion on their priority of importance, to obtain optimal product mixes for semiconductor production. The results provide guidance to the fabricator regarding strategies for accepting orders to maximize the manufacturing efficiency and the profit, while simultaneously considering other important input and output factors for maintaining manufacturing smoothness.

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Authors and Affiliations

  1. Department of Industrial Engineering and Management, National Chiao Tung University, Taiwan

    Shu-Hsing Chung, Amy H.I. Lee & W.L. Pearn

Authors
  1. Shu-Hsing Chung
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  2. Amy H.I. Lee
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  3. W.L. Pearn
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Correspondence to Shu-Hsing Chung.

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Chung, SH., Lee, A. & Pearn, W. Product Mix Optimization for Semiconductor Manufacturing Based on AHP and ANP Analysis. Int J Adv Manuf Technol 25, 1144–1156 (2005). https://doi.org/10.1007/s00170-003-1956-8

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  • DOI: https://doi.org/10.1007/s00170-003-1956-8

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