DocumentCode :
619885
Title :
A supply chain network oligopoly model using genetic algorithms
Author :
Ruijing Han ; Yan Zhou ; Jingjing Wang ; Jinglong Jiang
Author_Institution :
Dept. of Manage. Sci. & Eng., Qingdao Univ., Qingdao, China
fYear :
2013
fDate :
25-27 May 2013
Firstpage :
1240
Lastpage :
1243
Abstract :
In this paper, we develop a model of supply chain network under oligopolistic competition. The supply chain network is consisted of oligopolistic firms that compete non-cooperatively. And all the firms try to determine their the product flows to maximize their profits. The Nash-Cournot equilibrium conditions are solved by using genetic algorithm without any assumption of continuity and differentiability. The numerical example demonstrates the efficiency of our proposed genetic algorithm for getting the equilibrium.
Keywords :
game theory; genetic algorithms; oligopoly; profitability; supply chain management; Nash-Cournot equilibrium condition; genetic algorithm; oligopolistic competition; oligopolistic firm; oligopoly model; product flow; profit maximization; supply chain network; Biological cells; Educational institutions; Genetic algorithms; Numerical models; Oligopoly; Supply chains; Vectors; Nash-Cournot equilibrium; genetic algorithm; network; supply chain;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location :
Guiyang
Print_ISBN :
978-1-4673-5533-9
Type :
conf
DOI :
10.1109/CCDC.2013.6561114
Filename :
6561114
Link To Document :
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