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A simulated annealing approach to scheduling a manufacturing cell. (English) Zbl 0701.90049

Summary: This article proposes a new heuristic based on simulated annealing that schedules part families, as well as jobs within each part family, in a flow-line manufacturing cell. The new scheduling approach is compared to a branch and bound algorithm as well as two other family-based scheduling heuristics for different cell configurations. The results reveal that all the heuristics provide comparable solutions to the optimal procedure for small problems. However, when the problem size increases, the simulated annealing heuristic outperforms the other procedures not only in solution quality but also by requiring substantially less computation time.

MSC:

90B35 Deterministic scheduling theory in operations research
90C27 Combinatorial optimization
90-08 Computational methods for problems pertaining to operations research and mathematical programming
90B30 Production models
65K05 Numerical mathematical programming methods
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