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Sequencing and lot-size optimisation of a production-and-inventory-system with multiple items using simulation and parallel genetic algorithm

In: Operations Research Proceedings 2004

Author

Listed:
  • Michael Kämpf

    (University of Technology)

  • Peter Köchel

    (University of Technology)

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.

Suggested Citation

  • Michael Kämpf & Peter Köchel, 2005. "Sequencing and lot-size optimisation of a production-and-inventory-system with multiple items using simulation and parallel genetic algorithm," Operations Research Proceedings, in: Hein Fleuren & Dick Hertog & Peter Kort (ed.), Operations Research Proceedings 2004, pages 102-109, Springer.
    • Handle: RePEc:spr:oprchp:978-3-540-27679-1_13
    DOI: 10.1007/3-540-27679-3_13
    as

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