Article ID: | iaor2001206 |
Country: | Netherlands |
Volume: | 120 |
Issue: | 2 |
Start Page Number: | 311 |
End Page Number: | 326 |
Publication Date: | Jan 2000 |
Journal: | European Journal of Operational Research |
Authors: | Meyr H. |
Keywords: | heuristics, programming: integer, optimization: simulated annealing |
The contribution of this paper is twofold. On the one hand, the particular problem of integrating lotsizing and scheduling of several products on a single, capacitated production line is modelled and solved, taking into account sequence-dependent setup times. Thereby, continuous lotsizes, meeting deterministic dynamic demands, are to be determined and scheduled with the objective of minimizing inventory holding costs and sequence-dependent setup costs. On the other hand, a new general algorithmic approach is presented: A dual reoptimization algorithm is combined with a local search heuristic for solving a mixed integer programming problem. This idea is applied to the above lotsizing and scheduling problem by embedding a dual network flow algorithm into threshold accepting and simulated annealing, respectively. Computational tests show the effectiveness of the new solution method.