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. © 2012 Toly Chen and Yu Cheng Wang.
Cite
CITATION STYLE
Chen, T., & Wang, Y. C. (2012). Enhancing scheduling performance for a wafer fabrication factory: The biobjective slack-diversifying nonlinear fluctuation-smoothing rule. Computational Intelligence and Neuroscience, 2012. https://doi.org/10.1155/2012/404806
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.