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A robust dynamic planning strategy for lot-sizing problems with stochastic demands

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Abstract

We consider the question of generating robust plans for production planning problems under uncertainty. In particular, we present an alternative approach to generate robust solutions for lot-sizing problems with stochastic demand. The proposed approach is dynamic and includes a decision rule that guides the planner. The decision rule parameters are determined so that the number of expected planning adaptations and their magnitudes are under control. The robust approach and its related models are presented together with some computational results to show how it performs compared to other approaches.

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Authors and Affiliations

  1. Department of Industrial Management, University of Ghent, Technologiepark 903, B-9052, Zwijnaarde, Belgium

    B. Raa & E. H. Aghezzaf

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  1. B. Raa
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  2. E. H. Aghezzaf
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Correspondence to E. H. Aghezzaf.

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Raa, B., Aghezzaf, E. A robust dynamic planning strategy for lot-sizing problems with stochastic demands. J Intell Manuf 16, 207–213 (2005). https://doi.org/10.1007/s10845-004-5889-3

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  • DOI: https://doi.org/10.1007/s10845-004-5889-3

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