DocumentCode
508166
Title
A Simulation Analysis on Evolutionary Game of Information Sharing in Supply Chain Based on Multi-agent
Author
Zhang, Yaofeng ; Xiao, Renbin
Author_Institution
Dept. of Control Sci. & Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
Volume
5
fYear
2009
fDate
14-16 Aug. 2009
Firstpage
523
Lastpage
526
Abstract
The repeated game theory model of information sharing in supply chain is formulated in this paper. By the simulation experiments based on Multi-Agent, we analyze the influence of forming and maintaining the cooperation of information sharing in supply chain. It´s found that the sharing costs and the punitive coefficient are the main factors influencing the level of cooperation in supply chain. In addition, we put forward the corresponding measures of enhancing the level of cooperation at the end of this paper.
Keywords
game theory; multi-agent systems; supply chains; evolutionary game; game theory model; information sharing; multi-agent systems; punitive coefficient; simulation analysis; supply chain; Analytical models; Computational modeling; Costs; Game theory; Information analysis; Maintenance engineering; Mathematics; Statistics; Supply chain management; Supply chains; Information sharing; Multi-Agent; Simulation; evolutionary game; supply chain;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location
Tianjin
Print_ISBN
978-0-7695-3736-8
Type
conf
DOI
10.1109/ICNC.2009.348
Filename
5365750
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