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

Authors:
Toly Chen;Yu Cheng Wang
Affiliations:
Department of Industrial Engineering and Systems Management, Feng Chia University, Taichung, Taiwan;Department of Industrial Engineering and Systems Management, Feng Chia University, Taichung, Taiwan
Venue:
Computational Intelligence and Neuroscience
Year:
2012

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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.