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
Link To Document :
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