Optimization of Control Strategy of a Serial Supply Chain Based on Pheromone Evolutionary Algorithm

Determination of optimal control strategy is one of the key factors for a successful supply chain management. This paper focuses on the research of an inventory control strategy of a serial supply chain. First, it proposes an optimization model of an inventory control that is based on the combinatio...

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Bibliographic Details
Published in2006 IEEE International Conference on Evolutionary Computation pp. 2707 - 2712
Main Authors Min Huang, Jianqin Ding, Zhonghua Liu, Ip, W.H., Yung, K.L., Xingwei Wang
Format Conference Proceeding
LanguageEnglish
Published IEEE 2006
Subjects
Control system synthesis
Control systems
Costs
Evolutionary computation
Inventory control
Linear programming
Optimal control
Production systems
Supply chain management
Supply chains
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Summary:Determination of optimal control strategy is one of the key factors for a successful supply chain management. This paper focuses on the research of an inventory control strategy of a serial supply chain. First, it proposes an optimization model of an inventory control that is based on the combination of a nonlinear integer programming model and a general push/pull control model. Then, the optimal control strategy is obtained by the combination of pheromone evolutionary algorithm and simulation analysis. Case studies demonstrated the effectiveness of the method.
ISBN:9780780394872
0780394879
ISSN:1089-778X
DOI:10.1109/CEC.2006.1688647