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Genetic algorithm parameter optimisation using Taguchi method for a flexible manufacturing system scheduling problem

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  • Gökçe Candan
  • Harun Resit Yazgan

Abstract

The flexible manufacturing system (FMS) scheduling problem is one of the most difficult NP-hard combinatorial optimisation problems. The exact solution of an FMS scheduling problem cannot be found within a reasonable amount of time, even for small size problems. Therefore, a metaheuristic algorithm is required to solve such a problem. The objective of this study is to develop a genetic algorithm (GA) approach to minimise makespan of the scheduling problem. A Taguchi orthogonal array is proposed instead of a full factorial experimental design for determining the parameters of the GA. The effects of the GA parameters on the minimum makespan values are determined and an analysis of variance is performed to investigate significance factors on the results.

Suggested Citation

  • Gökçe Candan & Harun Resit Yazgan, 2015. "Genetic algorithm parameter optimisation using Taguchi method for a flexible manufacturing system scheduling problem," International Journal of Production Research, Taylor & Francis Journals, vol. 53(3), pages 897-915, February.
    • Handle: RePEc:taf:tprsxx:v:53:y:2015:i:3:p:897-915
    DOI: 10.1080/00207543.2014.939244
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