Journal of East China Normal University(Natural Sc ›› 2006, Vol. 2006 ›› Issue (3): 71-76.

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Simulation and Optimization of Stochastic (s, S) Inventory System Based on Genetic Algorithm(Chinese)

JIANG Chang-hua, HU You-hua   

  1. School of Information Science and Technology, East China Normal University, Shanghai 200062,China
  • Received:2005-04-18 Revised:2005-10-21 Online:2006-05-25 Published:2006-05-25
  • Contact: JIANG Chang-hua

Abstract: System simulation was used to optimize stochastic inventory. It combined genetic algorithms with simulation of discrete event system and used genetic algorithms to guide the choice of control variables.A new selection operation and a candidate policies′ collector were proposed to overcome the randomicity of a stochastic inventory system.Test results of a (s, S) inventory system showed that the solution proposed is feasible and effective.

Key words: stochastic (s, S)inventory system, inventory policy, system simulation, genetic algorithms, stochastic (s, S)inventory system, inventory policy, system simulation

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