Abstract
Our paper is dealing with the Capacitated Stochastic Lot-Sizing Problem. In addition to the usual model assumptions as stochastic demand and manufacturing times, cost for setup, we also consider cost for waiting and lost demand. The goal is to find release and sequencing decisions with minimal expected cost per time unit. To solve the problem we use simulation optimisation, i. e., we combine a simulator with a Parallel Genetic Algorithm. Some numerical examples show the applicability of the proposed approach.
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Kämpf, M., Köchel, P. (2005). Sequencing and lot-size optimisation of a production-and-inventory-system with multiple items using simulation and parallel genetic algorithm. In: Fleuren, H., den Hertog, D., Kort, P. (eds) Operations Research Proceedings 2004. Operations Research Proceedings, vol 2004. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-27679-3_13
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DOI: https://doi.org/10.1007/3-540-27679-3_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24274-1
Online ISBN: 978-3-540-27679-1
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