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

<table class="table-group" id="tab14"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left">Case ID</td><td class="align_center">Workload</td><td class="align_center">Waiting time</td><td class="align_center">Service costing</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">1005</td><td class="align_center">290</td><td class="align_center">12</td><td class="align_center">108678.16</td></tr><tr><td class="align_left">1011</td><td class="align_center">290</td><td class="align_center">14</td><td class="align_center">107487.68</td></tr><tr><td class="align_left">—</td><td class="align_center">—</td><td class="align_center">—</td><td class="align_center">—</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Applied Computational Intelligence and Soft Computing

tab14

Table 14

Table 14: Optimizing Decision Making on Business Processes Using a Combination of Process Mining, Job Shop, and Multivariate Resource Clustering 