| Data Generation Method: |
| EXPERIMENTAL - The Benchmark Set combines concepts from different instance generation processes in the scheduling literature. We generated 3 instances for each combination of the number of machines m = {5,10}, the number of operations o = {50,75,100}, the number of jobs n = o q, where q = {3,5}, and the number of families f = {3,5}. Therefore, the set is composed of 72 instances in total. Processing times follow a discrete uniform distribution U(1,100). Family setup times follow a discrete uniform distribution U(10,30). Job s weights are drawn from a discrete uniform distribution U(1,10). Release dates for machines following a discrete uniform distribution U(0,MR), where MR is the maximum release date computed as the sum of all operations processing times plus a family setup time for each operation divided by the number of machines. The machine s capacities follow a discrete uniform distribution U(10,15), while the operation s sizes are drawn from a discrete uniform distribution U(1,5). |
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