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Evaluation of solution approaches for a stochastic lot-sizing and sequencing problem

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  • Schemeleva, Kseniya
  • Delorme, Xavier
  • Dolgui, Alexandre

Abstract

A stochastic multi-product lot-sizing and sequencing problem is studied. Two kinds of uncertainties are integrated into the model: defective items due to the process imperfections and random lead times because of randomly arising machine breakdowns and uncertain repair times. There are also sequence-dependent set-up times between two items of different types. The objective is to find a sequence of lots and lot sizes maximizing the probability of demand satisfaction for all products. A decomposition approach has been proposed in the literature to reduce this problem to a sequence of known optimization problems with different algorithms available for each of them. However, a proper evaluation of the practical performance of the whole method has never been presented. The goal of this paper is to analyze and compare the behavior of different solution frameworks (with and without decomposition) and techniques for the considered problem.

Suggested Citation

  • Schemeleva, Kseniya & Delorme, Xavier & Dolgui, Alexandre, 2018. "Evaluation of solution approaches for a stochastic lot-sizing and sequencing problem," International Journal of Production Economics, Elsevier, vol. 199(C), pages 179-192.
    • Handle: RePEc:eee:proeco:v:199:y:2018:i:c:p:179-192
    DOI: 10.1016/j.ijpe.2018.02.017
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    References listed on IDEAS

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    Cited by:

    1. Oussama Ben-Ammar & Belgacem Bettayeb & Alexandre Dolgui, 2019. "Integrated production planning and quality control for linear production systems under uncertainties of cycle time and finished product quality," Post-Print hal-02415341, HAL.
    2. Berti, Nicola & Finco, Serena & Battaïa, Olga & Delorme, Xavier, 2021. "Ageing workforce effects in Dual-Resource Constrained job-shop scheduling," International Journal of Production Economics, Elsevier, vol. 237(C).

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