A Fuzzy Rule for Improving the Performance of Multiobjective Job Dispatching in a Wafer Fabrication Factory

<table class="table-group" id="tab11"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td align="left">Approach</td><td align="center">Average cycle time</td><td align="center">Maximum lateness</td><td align="center">Cycle time standard deviation</td><td align="center">Number of tardy jobs</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td align="left">FCM-BPN + the proposed rule</td><td align="center">958</td><td align="center">307</td><td align="center">70</td><td align="center">37</td></tr><tr><td align="left">SA-FBPN + the proposed rule</td><td align="center">921</td><td align="center">292</td><td align="center">66</td><td align="center">37</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

The results of applying the FCM-BPN approach to the fuzzy slack-diversifying fluctuation-smoothing rule.

Journal of Applied Mathematics

tab11

Table 11

Table 11: A Fuzzy Rule for Improving the Performance of Multiobjective Job Dispatching in a Wafer Fabrication Factory 