Determination of number of kanbans in a supply chain system via Memetic algorithm

Authors:
M. Rabbani;J. Layegh;R. Mohammad Ebrahim
Affiliations:
Department of Industrial Engineering, University of Tehran, Tehran, Iran;Department of Industrial Engineering, University of Tehran, Tehran, Iran;Department of Industrial Engineering, University of Tehran, Tehran, Iran
Venue:
Advances in Engineering Software
Year:
2009

Citing 3
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Abstract

In this research multi-stage supply chain system which is controlled by kanban system, is evaluated. In kanban system, decision making is based on determination of the number of kanbans as well as batch sizes. This paper attempts to model supply chain system with regard to costs under just-in-time (JIT) production philosophy. Since adopted model is of mixed integer non-linear programming (MINLP) type and solving it by exact algorithm such as branch and bound (B&B) takes a lot of time, a heuristic method via Memetic algorithm (MA) is presented. Some problems are solved by our proposed MA to illustrate its performance.