Enhancing Scheduling Performance for a Wafer Fabrication Factory: The Biobjective Slack-Diversifying Nonlinear Fluctuation-Smoothing Rule | Zendy

Toly Chen | Zendy; Yu-Cheng Wang | Zendy

Open Access

Enhancing Scheduling Performance for a Wafer Fabrication Factory: The Biobjective Slack-Diversifying Nonlinear Fluctuation-Smoothing Rule

Author(s) -

Toly Chen,

Yu-Cheng Wang

Publication year - 2012

Publication title -

computational intelligence and neuroscience

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.605

H-Index - 52

eISSN - 1687-5273

pISSN - 1687-5265

DOI - 10.1155/2012/404806

Subject(s) - smoothing , wafer fabrication , nonlinear system , computer science , scheduling (production processes) , wafer , reliability engineering , standard deviation , fabrication , factory (object oriented programming) , mathematical optimization , mathematics , engineering , statistics , medicine , physics , quantum mechanics , electrical engineering , computer vision , alternative medicine , pathology , programming language

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.

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