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Solving multi-objective production scheduling problems using metaheuristics. (English) Zbl 1065.90040
Summary: Most of research in production scheduling is concerned with the optimization of a single criterion. However the analysis of the performance of a schedule often involves more than one aspect and therefore requires a multi-objective treatment. In this paper we first present (Section 1) the general context of multi-objective production scheduling, analyze briefly the different possible approaches and define the aim of this study i.e. to design a general method able to approximate the set of all the efficient schedules for a large set of scheduling models. Then we introduce (Section 2) the models we want to treat–one machine, parallel machines and permutation flow shops – and the corresponding notations. The method used-called multi-objective simulated annealing – is described in Section 3. Section 4 is devoted to extensive numerical experiments and their analysis. Conclusions and further directions of research are discussed in the last section.

MSC:
90B35 Deterministic scheduling theory in operations research
90B30 Production models
90C29 Multi-objective and goal programming
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