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3级网状随机性库存控制策略的仿真优化 - 控制理论与应用
26 11 Vol. 26 No. 11
2009 11 Control Theory Applications Nov. 2009
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: TP391.9 : A
Simulation-based optimization on three-echelon network
stochastic inventory control policies
GAO Jing-mei, WANG Ding-wei
(Institute of System Engineering, Northeastern University, Shenyang Liaoning 110004, China)
Abstract: The problem of how to set the inventory control policies for a three-echelon network stochastic inven-
tory system is studied. Because the customer arrival time is a Possion process, and all of the customer demand, the customer
purchasing behavior and the lead time are stochastic and the production capacity is limited in the inventory system, it is
difficult for the analytical method to describe various complex and stochastic factors and develop an effective inventory
control policy. A mathematical model is built for minimizing the total cost. Next, the simulation-based optimization
method is used to solve the problem by combining the simulation method together with the particle-swarm optimization
algorithm. The simulation results demonstrate the feasibility and the effectiveness of the mathematical model and the
simulation-based particle-swarm optimization method by comparisons, and show the applicability of the simulation-based
optimization method in the supply chain management.
Key words: three-echelon inventory; mathematical model; simulation-based optimization; particle swarm optimization
1 (Introduction)
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