Abstract
This paper focuses on an industrial lot-sizing and scheduling problem that arises in the food industry and includes lost sales, overtimes and sequence-dependent setups on parallel machines. We propose a preliminary version of a three-phase iterative approach to optimize separately the affectation, the sequencing and the production of items. Our first numerical results suggest that with some additional improvements, this approach could be use in real-life by planners to reduce their costs.
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Larroche, F., Bellenguez, O., Massonnet, G. (2021). Three-Phase Method for the Capacitated Lot-Sizing Problem with Sequence Dependent Setups. In: Dolgui, A., Bernard, A., Lemoine, D., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. APMS 2021. IFIP Advances in Information and Communication Technology, vol 631. Springer, Cham. https://doi.org/10.1007/978-3-030-85902-2_74
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DOI: https://doi.org/10.1007/978-3-030-85902-2_74
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