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Conference Paper: A multi-agent system for dynamic integrated process planning and scheduling using heuristics

TitleA multi-agent system for dynamic integrated process planning and scheduling using heuristics
Authors
Zhang, LWong, TNFung, RYK
KeywordsDynamic process planning
Heuristics
Jobshop scheduling
Multi-agent system
Issue Date2012
PublisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/
Citation
The 6th KES International Conference on Agent and Multi-Agent Systems: Technologies and Applications (KES-AMSTA 2012), Dubrovnik, Croatia, 25-27 June 2012. In Lecture Notes in Computer Science, 2012, v. 7327, p. 309-318 How to Cite?
DOI: http://dx.doi.org/10.1007/978-3-642-30947-2_35
AbstractIntegrated process planning and scheduling (IPPS) is an NP-hard problem, the major research on the multi-agent system (MAS) based IPPS systems has focused on the establishment of negotiation protocols to accomplish the integration of process planning and scheduling. However, not much consideration has been paid to the dynamic factors of current manufacturing systems. In this paper, an MAS architecture is proposed to solve the dynamic IPPS problem with embedded heuristic algorithms. The proposed MAS system can be combined with a variety of heuristic methods to support dynamic process planning, scheduling and re-scheduling. As a result, the proposed MAS system for dynamic IPPS using heuristics possesses high flexibility, extensibility, and accessibility for manufacturing applications. © 2012 Springer-Verlag.
DescriptionLNCS v. 7327 entitled: Agent and multi-agent systems. Technologies and applications : 6th KES International Conference, KES-AMSTA 2012 ... proceedings
Paper no. ams12-018
Persistent Identifierhttp://hdl.handle.net/10722/178252
ISBN
978-364230946-5
ISSN
0302-9743
2020 SCImago Journal Rankings: 0.249
References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorZhang, Len_US
dc.contributor.authorWong, TNen_US
dc.contributor.authorFung, RYKen_US
dc.date.accessioned2012-12-19T09:44:24Z-
dc.date.available2012-12-19T09:44:24Z-
dc.date.issued2012en_US
dc.identifier.citationThe 6th KES International Conference on Agent and Multi-Agent Systems: Technologies and Applications (KES-AMSTA 2012), Dubrovnik, Croatia, 25-27 June 2012. In Lecture Notes in Computer Science, 2012, v. 7327, p. 309-318en_US
dc.identifier.isbn978-364230946-5-
dc.identifier.issn0302-9743en_US
dc.identifier.urihttp://hdl.handle.net/10722/178252-
dc.descriptionLNCS v. 7327 entitled: Agent and multi-agent systems. Technologies and applications : 6th KES International Conference, KES-AMSTA 2012 ... proceedings-
dc.descriptionPaper no. ams12-018-
dc.description.abstractIntegrated process planning and scheduling (IPPS) is an NP-hard problem, the major research on the multi-agent system (MAS) based IPPS systems has focused on the establishment of negotiation protocols to accomplish the integration of process planning and scheduling. However, not much consideration has been paid to the dynamic factors of current manufacturing systems. In this paper, an MAS architecture is proposed to solve the dynamic IPPS problem with embedded heuristic algorithms. The proposed MAS system can be combined with a variety of heuristic methods to support dynamic process planning, scheduling and re-scheduling. As a result, the proposed MAS system for dynamic IPPS using heuristics possesses high flexibility, extensibility, and accessibility for manufacturing applications. © 2012 Springer-Verlag.en_US
dc.languageengen_US
dc.publisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/en_US
dc.relation.ispartofLecture Notes in Computer Scienceen_US
dc.rightsThe original publication is available at www.springerlink.com-
dc.subjectDynamic process planningen_US
dc.subjectHeuristicsen_US
dc.subjectJobshop schedulingen_US
dc.subjectMulti-agent systemen_US
dc.titleA multi-agent system for dynamic integrated process planning and scheduling using heuristicsen_US
dc.typeConference_Paperen_US
dc.identifier.emailWong, TN: tnwong@hku.hken_US
dc.identifier.authorityWong, TN=rp00192en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1007/978-3-642-30947-2_35en_US
dc.identifier.scopuseid_2-s2.0-84863536445en_US
dc.identifier.hkuros210580-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-84863536445&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume7327en_US
dc.identifier.spage309en_US
dc.identifier.epage318en_US
dc.publisher.placeGermanyen_US
dc.identifier.scopusauthoridFung, RYK=7101741904en_US
dc.identifier.scopusauthoridWong, TN=55301015400en_US
dc.identifier.scopusauthoridZhang, L=55295535400en_US
dc.customcontrol.immutablesml 140107-
dc.identifier.issnl0302-9743-

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