DocumentCode :
2064889
Title :
Integrated multi-agent-based supply chain management
Author :
Frey, Daniel ; Woelk, Peer-Oliver ; Stockheim, Tim ; Zimmermann, Roland
Author_Institution :
Inst. of Process Control & Robotics, Univ. Karlsruhe, Germany
fYear :
2003
fDate :
9-11 June 2003
Firstpage :
24
Lastpage :
29
Abstract :
Multi-agent systems (MAS) offer new perspectives compared to conventional, centrally organized architectures in the scope of supply chain management (SCM). Their structure inherently meets the requirements of decentralized supply chains, whereas conventional SCM systems are often restricted in terms of dynamic behavior, handling severe disturbances at supplier sites as well as dealing with highly customized or complex products. Since necessary data are not available within the whole supply chain, an integrated approach for production planning and control taking into account all the partners involved is not feasible. In this paper, a MAS architecture integrating various intelligent agent systems is presented to address the problem.
Keywords :
multi-agent systems; supply chain management; MAS architecture; dynamic behavior; handling severe disturbances; integrated SCM architecture; intelligent agent systems; multiagent systems; supply chain management; Companies; Job shop scheduling; Logistics; Management information systems; Manufacturing; Multiagent systems; Process planning; Production planning; Supply chain management; Supply chains;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Enabling Technologies: Infrastructure for Collaborative Enterprises, 2003. WET ICE 2003. Proceedings. Twelfth IEEE International Workshops on
ISSN :
1080-1383
Print_ISBN :
0-7695-1963-6
Type :
conf
DOI :
10.1109/ENABL.2003.1231377
Filename :
1231377
Link To Document :
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