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.
Enhancing scheduling performance for a wafer fabrication factory: the biobjective slack-diversifying nonlinear fluctuation-smoothing rule.
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作者:Chen Toly, Wang Yu Cheng
| 期刊: | Computational Intelligence and Neuroscience | 影响因子: | 0.000 |
| 时间: | 2012 | 起止号: | 2012;2012:404806 |
| doi: | 10.1155/2012/404806 | ||
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