This study proposes a fuzzy-neural slack-diversifying nonlinear fluctuation smoothing (NFS) rule to improve the performance of job dispatching in a wafer fabrication factory. The fuzzy-neural slack-diversifying NFS rule is derived from the one-factor tailored nonlinear fluctuation smoothing rule for mean cycle time (1f-TNFSMCT) by dynamically maximizing the standard deviation of the slack, which has been shown to improve scheduling performance in several previous studies. According to the experimental results, the proposed methodology outperformed some existing approaches.
|Number of pages||5|
|Journal||ICIC Express Letters|
|State||Published - 17 Sep 2012|
- Dispatching rule
- Fluctuation smoothing
- Wafer fabrication