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
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;
Conference_Titel :
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3736-8
DOI :
10.1109/ICNC.2009.348
