Optimizing Decision Making on Business Processes Using a Combination of Process Mining, Job Shop, and Multivariate Resource Clustering

<table class="table-group" id="tab9"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left"> </td><td class="align_center">Average flow time</td><td class="align_center">Average number of jobs in system</td><td class="align_center">Makespan</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">FCFS</td><td class="align_center">1126.24242</td><td class="align_center">14.3831269</td><td class="align_center">37166</td></tr><tr><td class="align_left">SPT</td><td class="align_center">873.272727</td><td class="align_center">11.1524768</td><td class="align_center">28818</td></tr><tr><td class="align_left">LPT</td><td class="align_center">1789.0303</td><td class="align_center">22.8475232</td><td class="align_center">59038</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Scheduling performance with 3 rules.</div>

Applied Computational Intelligence and Soft Computing

tab9

Table 9

Table 9: Optimizing Decision Making on Business Processes Using a Combination of Process Mining, Job Shop, and Multivariate Resource Clustering 