Product mix optimization for semiconductor manufacturing based on AHP and ANP analysis

Shu Hsing Chung, Amy H.I. Lee, W.l. Pearn

Research output: Contribution to journalArticlepeer-review

70 Scopus citations

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.

Original languageEnglish
Pages (from-to)1144-1156
Number of pages13
JournalInternational Journal of Advanced Manufacturing Technology
Volume25
Issue number11-12
DOIs
StatePublished - 1 Jun 2005

Keywords

  • Analytic hierarchy process
  • Analytic network process
  • Efficiency
  • Product mix
  • Semiconductor fabricator

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