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: | Teghem J., Tuyttens D., Loukil T. |
Keywords: | heuristics, programming: multiple criteria |
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.