Competitive methods for multi-level lot sizing and scheduling: Tabu search and randomized regrets

Competitive methods for multi-level lot sizing and scheduling: Tabu search and randomized regrets

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Article ID: iaor19962005
Country: United Kingdom
Volume: 34
Issue: 8
Start Page Number: 2279
End Page Number: 2298
Publication Date: Aug 1996
Journal: International Journal of Production Research
Authors:
Keywords: scheduling
Abstract:

This contribution presents two heuristic approaches for multi-level, single-machine lot sizing and scheduling. The first one is a variant of a so-called randomized regret based heuristic which is assumed to be the fastest available method for this particular class of problems. The second approach is a tabu search technique that is competitive with respect to both the run-time performance and the average deviation from the optimum objective function values.

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