Genetic Algorithm for Job Scheduling with Maintenance Consideration in Semiconductor Manufacturing Process

<table class="table-group" id="tab8"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td align="left"> </td><td align="center" colspan="2">Makespan</td><td align="center" colspan="2">Yield</td></tr><tr class="thead"><td align="left"> </td><td align="center">Scenario 1</td><td align="center">Scenario 2</td><td align="center">Scenario 1</td><td align="center">Scenario 2</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td align="left">Average</td><td align="center">2554.06   </td><td align="center">2636.37</td><td align="center">0.88</td><td align="center">0.81</td></tr><tr><td align="left">Standard deviation</td><td align="center">67.56</td><td align="center">58.55</td><td align="center">0.03</td><td align="center">0.04</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Simulation results from 50 replications for each scenario.

Mathematical Problems in Engineering

tab8

Table 8

Table 8: Genetic Algorithm for Job Scheduling with Maintenance Consideration in Semiconductor Manufacturing Process 