DocumentCode
2466189
Title
Optimization of Control Strategy of a Serial Supply Chain Based on Pheromone Evolutionary Algorithm
Author
Huang, Min ; Ding, Jianqin ; Liu, Zhonghua ; Ip, W.H. ; Yung, K.L. ; Wang, Xingwei
Author_Institution
Northeastern Univ., Shenyang
fYear
0
fDate
0-0 0
Firstpage
2707
Lastpage
2712
Abstract
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.
Keywords
evolutionary computation; integer programming; nonlinear programming; optimal control; stock control; supply chain management; inventory control strategy; nonlinear integer programming model; optimal control strategy; optimization; pheromone evolutionary algorithm; push/pull control model; supply chain management; Control system synthesis; Control systems; Costs; Evolutionary computation; Inventory control; Linear programming; Optimal control; Production systems; Supply chain management; Supply chains;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2006. CEC 2006. IEEE Congress on
Conference_Location
Vancouver, BC
Print_ISBN
0-7803-9487-9
Type
conf
DOI
10.1109/CEC.2006.1688647
Filename
1688647
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