Title :
Evolutionary analysis on cooperation stability of supply chain network based on multi-agent
Author :
Shen Xiahong ; Xiong Weiqing
Author_Institution :
Sch. of Bus., Ningbo Univ., Ningbo, China
Abstract :
Considering a supply chain network consisted of multiple manufacturers and multiple sellers,this paper analysis the cooperation stability of supply chain network based on multi-agent. The results shows that the main influencing factors which affect manufacturers and sellers to adopt cooperation or not mostly. In addition, it also shows that cooperation is difficult to form without any coordination mechanism. The manufacturers and sellers will it be possible to adopt a cooperative strategy only when the initial cooperation is high. And the critical value of the initial ratio depends on the benefits to be obtained from one-on-one game of the manufacturers and sellers. On this basis, we propose a mechanism based on third-party, and its simulation experiments show that a high level of supervision can effectively inhibit the information hiding behavior in the process of cooperation.
Keywords :
evolutionary computation; game theory; multi-agent systems; supply chain management; cooperation stability; evolutionary analysis; information hiding behavior; manufacturer-seller network; multiagent system; one-on-one game; supply chain network; Educational institutions; Electronic mail; Games; Silicon; Stability analysis; Supply chains; Evolutionary Games; Multi-Agent; Supply Chain Network;
Conference_Titel :
Control Conference (CCC), 2013 32nd Chinese
Conference_Location :
Xi´an