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

Michael Kämpf and Peter Köchel
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Michael Kämpf: University of Technology
Peter Köchel: University of Technology

A chapter in Operations Research Proceedings 2004, 2005, pp 102-109 from Springer

Abstract: 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.

Keywords: Setup Time; Setup Cost; Demand Process; Sequencing Decision; Production Order (search for similar items in EconPapers)
Date: 2005
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Persistent link: https://EconPapers.repec.org/RePEc:spr:oprchp:978-3-540-27679-1_13

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DOI: 10.1007/3-540-27679-3_13

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