Enhancing scheduling performance for a wafer fabrication factory: The biobjective slack-diversifying nonlinear fluctuation-smoothing rule

Tin-Chih Chen*, Yu Cheng Wang

*Corresponding author for this work

Research output: Contribution to journalArticle

2 Scopus citations

Abstract

A biobjective slack-diversifying nonlinear fluctuation-smoothing rule (biSDNFS) is proposed in the present work to improve the scheduling performance of a wafer fabrication factory. This rule was derived from a one-factor bi-objective nonlinear fluctuation-smoothing rule (1f-biNFS) by dynamically maximizing the standard deviation of the slack, which has been shown to benefit scheduling performance by several previous studies. The efficacy of the biSDNFS was validated with a simulated case; evidence was found to support its effectiveness. We also suggested several directions in which it can be exploited in the future.

Original languageEnglish
Article number404806
JournalComputational Intelligence and Neuroscience
Volume2012
DOIs
StatePublished - 3 Dec 2012

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