Title :
Research on Supply Chain Management Using Multi-Agent System Based on Ant Colony Algorithm
Author :
Zhao, Xiang ; Huang, Hou Kuan ; Shao, Chong
Author_Institution :
Sch. of Comput. & Inf. Technol., Beijing Jiaotong Univ., Beijing, China
Abstract :
Supply chain management has become a very important economic topic. In this paper, we use multi-agent system to solve this problem. But how to control the supply chain links in the various details and how to manage the supply chain optimization effectively is a very difficult issue. We use ant colony optimization algorithm and rational multi-agent model of supply chain management to solve the supply chain management problem effectively. The experiment shows this method is better than normal method.
Keywords :
multi-agent systems; optimisation; supply chain management; ant colony algorithm; multi-agent system; supply chain management; supply chain optimization; Ant colony optimization; Costs; Information security; Information technology; Linear programming; Multiagent systems; Space technology; Supply chain management; Supply chains; Technology management;
Conference_Titel :
Information Engineering and Electronic Commerce (IEEC), 2010 2nd International Symposium on
Conference_Location :
Ternopil
Print_ISBN :
978-1-4244-6972-7
Electronic_ISBN :
978-1-4244-6974-1
DOI :
10.1109/IEEC.2010.5533241
