Design of single-stage adaptive Kanban system using genetic algorithm

G.D. Sivakumar and P. Shahabudeen

International Journal of Services and Operations Management, 2008, vol. 4, issue 1, 125-144

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.

Keywords: Kanban systems; adaptive control; Markov chain model; genetic algorithms; GA; system design. (search for similar items in EconPapers)
Date: 2008
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