An Iterated Greedy Algorithm for the Flowshop Problem with Sequence Dependent Setup Times
نویسندگان
چکیده
The flowshop problem (FSP) is one of the most thoroughly studied scheduling problems. In the FSP, a set N = {1, . . . , n} of n independent jobs has to be processed on a set M = {1, . . . ,m} of m machines. Every job j, j ∈ N , requires a given fixed, non-negative processing time pij on every machine i, i ∈ M . In a flowshop, all n jobs are to be processed on the m machines in the same order, that is, the jobs follow the same flow in the shop starting from machine 1 and finishing on machine m. The criterion that is most commonly studied in the literature is the minimization of the total completion time, also called makespan Cmax. A common simplification in the FSP is to avoid job passing in the sequence; that is, the processing sequence on the first machine is maintained throughout the remaining machines. The resulting problem is the permutation flowshop problem (PFSP).
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