文章基本信息

标题：An Evolving Fuzzy-neural Rule with Slack Diversification for Enhancing Job Dispatching Performance in Wafer Fabrication
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作者：Toly Chen
期刊名称：International Journal of Grid and Distributed Computing
印刷版ISSN：2005-4262
出版年度：2012
卷号：5
期号：2
出版社：SERSC
摘要：An evolving fuzzy-neural rule with slack diversification is proposed in the present work to improve the performance of job dispatching in a wafer fabrication factory. The evolving fuzzy-neural rule is a modification from the two-factor tailored nonlinear fluctuation smoothing rule for mean cycle time (2f-TNFSMCT) by diversifying the slack values of jobs to be dispatched dynamically, which has been shown to be conducive to the performance in several previous studies. After evaluation of the proposed rule, some evidence was gained to support its effectiveness.Based on the findings in this research we also derived several directions that can be exploited in the future
关键词：Job dispatching; Wafer fabrication; Fuzzy; Neural; Slack diversification