A Multiagent Systems approach for managing Supply-Chain problems:: a learning perspective

被引:0
作者
Carvalho, R [1 ]
Custódio, L [1 ]
机构
[1] Univ Tecn Lisboa, Inst Super Tecn, IST Torre Norte, ISR, Lisbon, Portugal
来源
2005 INTERNATIONAL CONFERENCE ON INTEGRATION OF KNOWLEDGE INTENSIVE MULTI-AGENT SYSTEMS: KIMAS'05: MODELING, EXPLORATION, AND ENGINEERING | 2005年
关键词
agents; artificial intelligence; learning; Multi-agent Systems; Supply Chains;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The main purpose of this paper is to assess if Multi-agent Systems (MAS) technology can be used to model, study and manage Supply Chains (SC). A second objective is to describe the application of the Q-Learning Algorithm and present some results obtained afterwards. To validate this hypothesis it was modelled and implemented a MAS with the various functionalities, being learning one of them. Two examples, one SC of the chemistry industry and a peer to peer, are presented to evaluate the usefulness of the MAS technology and the impact of learning on these systems.
引用
收藏
页码:454 / 459
页数:6
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