Title :
Research on Refining the Distributed Supply Chain Procurement Plans Based on CRL
Author :
Zhanguo, Xia ; Hongjie, Guan ; Ke, Wang
Author_Institution :
Sch. of Comput. Sci. & Technol., China Univ. of Min. & Technol., Xuzhou
Abstract :
In this paper, we propose a method of coordinated reinforcement learning (CRL) to refine the distributed transportation plans generated by a group of agents using double auction market mechanism (DAMM) in the context of supply chain procurement problem. Through analyzing the drawbacks of DAMM due to its strict market rules, we develop a refinement method based on reinforcement learning, namely CRL. Numerical results demonstrate that CRL effectively refines the distributed transportation plans generated by the DAMM.
Keywords :
electronic commerce; learning (artificial intelligence); multi-agent systems; procurement; supply chain management; transportation; coordinated reinforcement learning method; distributed supply chain procurement plan; distributed transportation plan; double auction market mechanism; e-procurement problem; multiagent system; refinement method; Computer science; Costs; Information processing; Learning; Monitoring; Multiagent systems; Procurement; Software agents; Supply chains; Transportation;
Conference_Titel :
Information Processing (ISIP), 2008 International Symposiums on
Conference_Location :
Moscow
Print_ISBN :
978-0-7695-3151-9
DOI :
10.1109/ISIP.2008.53
