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Design of single-stage adaptive Kanban system using genetic algorithm

Author

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  • G.D. Sivakumar
  • P. Shahabudeen

Abstract

The traditional Kanban system with fixed number of cards does not work satisfactorily in unstable environment. In the adaptive Kanban-type pull control mechanism, the number of Kanban is allowed to change with respect to the inventory and back-order level. It is required to set the threshold values at which cards are added or deleted, which is a part of the design. Previous studies used the local search method to design the adaptive Kanban system. In this paper, genetic algorithm is developed and used to set the design parameters of adaptive Kanban system. The numerical results indicate that the use of genetic algorithm produces better solution with improved computational efficiency.

Suggested Citation

  • G.D. Sivakumar & P. Shahabudeen, 2008. "Design of single-stage adaptive Kanban system using genetic algorithm," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 4(1), pages 125-144.
    • Handle: RePEc:ids:ijsoma:v:4:y:2008:i:1:p:125-144
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    Cited by:

    1. Francesco Lolli & Rita Gamberini & Claudio Giberti & Bianca Rimini & Federica Bondi, 2016. "A simulative approach for evaluating alternative feeding scenarios in a kanban system," International Journal of Production Research, Taylor & Francis Journals, vol. 54(14), pages 4228-4239, July.

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