Enhancing the long-term yield competitiveness of a semiconductor manufacturing factory using a multiobjective fuzzy nonlinear programming approach

Tin-Chih Chen*, Yi Chi Wang

*Corresponding author for this work

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

This study proposes a multiobjective fuzzy nonlinear programming (MOFNP) approach to enhance the long-term yield competitiveness of a semiconductor manufacturing factory. By modeling the long-term competitiveness of every product in a semiconductor manufacturing plant with the fuzzy correlation coefficient (FCC) between time and instantaneous competitiveness, the proposed model considers the various viewpoints when interpreting the overall competitiveness of the semiconductor manufacturing plant in the long-term. All noninferior solutions of the MOFNP solutions are then derived using a systematic procedure. A real example is employed to illustrate the applicability of the proposed methodology.

Original languageEnglish
Article number784237
JournalMathematical Problems in Engineering
Volume2013
DOIs
StatePublished - 18 Jul 2013

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