Determining The Parameters of Periodic Optional Replenishment Model with Genetic Algorithm in a Distribution Center

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AKYURT İ. Z., KESKİNTÜRK T., ARIKAN M. V.

VII. International Logistics and Supply Chain Congress, Turkey, 1 - 04 January 2009, pp.494-500, (Full Text)

  • Publication Type: Conference Paper / Full Text
  • Country: Turkey
  • Page Numbers: pp.494-500
  • Open Archive Collection: AVESIS Open Access Collection
  • Istanbul University Affiliated: Yes

Abstract

Inventory management and its policies are key processes of supply chain management. In this paper, periodic optional replenishment model (R, s, S), and its parameters s (reorder point) and S (replenishment points) are studied. These parameters are calculated via a meta-heuristic genetic algorithm (GA). The model is applied to a raw material inventory of steal with real data of a company that produce espagnolette whose demand and lead time are random variable, where review period is constant and known. Results from computational experiments compared with the results which are calculated with simulation.