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Article: A new model for manufacturing supply chain networks: a multi-agent approach

TitleA new model for manufacturing supply chain networks: a multi-agent approach
Authors
KeywordsMultiagent
Supply chain network
Coordination
Distributed artificial intelligence
Decision
Issue Date2004
Citation
Proceedings of the Institution of Mechanical Engineers Part B: Journal of Engineering Manufacture, 2004, v. 218 n. 4, p. 443-454 How to Cite?
AbstractParticipating members in a manufacturing supply chain usually make use of an information system like enterprise resources planning (ERP) for planning and scheduling activities independently. Recent research indicates that there is a need to handle such distributed activities in an integrated manner, especially under uncertain and fast changing environments. A multiagent system, a branch of distributed artificial intelligence, is a contemporary modelling technique for a distributed system in the manufacturing domain. This distributed modelling technique is suitable for integrating supply chain networks, which have distributed entities within the system, and each of them makes decision locally, i.e. a local information system. By adopting a multiagent modelling technique, supply chain networks can be built e ciently based on an information system. However, with reference to the reported research, which involves distributed modelling of a supply chain, a higher level coordination mechanism is not specified. This paper aims to propose a framework that utilizes a multiagent system with a corresponding coordination mechanism dedicated to manufacturing supply chain networks.
Persistent Identifierhttp://hdl.handle.net/10722/74499

 

DC FieldValueLanguage
dc.contributor.authorChan, FTSen_HK
dc.contributor.authorChan, HKen_HK
dc.date.accessioned2010-09-06T07:01:56Z-
dc.date.available2010-09-06T07:01:56Z-
dc.date.issued2004en_HK
dc.identifier.citationProceedings of the Institution of Mechanical Engineers Part B: Journal of Engineering Manufacture, 2004, v. 218 n. 4, p. 443-454en_HK
dc.identifier.urihttp://hdl.handle.net/10722/74499-
dc.description.abstractParticipating members in a manufacturing supply chain usually make use of an information system like enterprise resources planning (ERP) for planning and scheduling activities independently. Recent research indicates that there is a need to handle such distributed activities in an integrated manner, especially under uncertain and fast changing environments. A multiagent system, a branch of distributed artificial intelligence, is a contemporary modelling technique for a distributed system in the manufacturing domain. This distributed modelling technique is suitable for integrating supply chain networks, which have distributed entities within the system, and each of them makes decision locally, i.e. a local information system. By adopting a multiagent modelling technique, supply chain networks can be built e ciently based on an information system. However, with reference to the reported research, which involves distributed modelling of a supply chain, a higher level coordination mechanism is not specified. This paper aims to propose a framework that utilizes a multiagent system with a corresponding coordination mechanism dedicated to manufacturing supply chain networks.-
dc.languageengen_HK
dc.relation.ispartofProceedings of the Institution of Mechanical Engineers Part B: Journal of Engineering Manufactureen_HK
dc.subjectMultiagent-
dc.subjectSupply chain network-
dc.subjectCoordination-
dc.subjectDistributed artificial intelligence-
dc.subjectDecision-
dc.titleA new model for manufacturing supply chain networks: a multi-agent approachen_HK
dc.typeArticleen_HK
dc.identifier.emailChan, FTS: ftschan@hkucc.hku.hken_HK
dc.identifier.authorityChan, FTS=rp00090en_HK
dc.identifier.doi10.1243/095440504323055551-
dc.identifier.hkuros90525en_HK
dc.identifier.volume218-
dc.identifier.issue4-
dc.identifier.spage443-
dc.identifier.epage454-

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