Solving multi-objective production scheduling problems using metaheuristics

Solving multi-objective production scheduling problems using metaheuristics

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Article ID: iaor20053078
Country: Netherlands
Volume: 161
Issue: 1
Start Page Number: 42
End Page Number: 61
Publication Date: Feb 2005
Journal: European Journal of Operational Research
Authors: , ,
Keywords: heuristics, programming: multiple criteria
Abstract:

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.

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