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Conference Paper: A multi-agent system for dynamic integrated process planning and scheduling using heuristics
Title | A multi-agent system for dynamic integrated process planning and scheduling using heuristics |
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Authors | |
Keywords | Dynamic process planning Heuristics Jobshop scheduling Multi-agent system |
Issue Date | 2012 |
Publisher | Springer 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? |
Abstract | Integrated 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. |
Description | LNCS v. 7327 entitled: Agent and multi-agent systems. Technologies and applications : 6th KES International Conference, KES-AMSTA 2012 ... proceedings Paper no. ams12-018 |
Persistent Identifier | http://hdl.handle.net/10722/178252 |
ISBN | |
ISSN | 2023 SCImago Journal Rankings: 0.606 |
References |
DC Field | Value | Language |
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dc.contributor.author | Zhang, L | en_US |
dc.contributor.author | Wong, TN | en_US |
dc.contributor.author | Fung, RYK | en_US |
dc.date.accessioned | 2012-12-19T09:44:24Z | - |
dc.date.available | 2012-12-19T09:44:24Z | - |
dc.date.issued | 2012 | en_US |
dc.identifier.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 | en_US |
dc.identifier.isbn | 978-364230946-5 | - |
dc.identifier.issn | 0302-9743 | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/178252 | - |
dc.description | LNCS v. 7327 entitled: Agent and multi-agent systems. Technologies and applications : 6th KES International Conference, KES-AMSTA 2012 ... proceedings | - |
dc.description | Paper no. ams12-018 | - |
dc.description.abstract | Integrated 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.language | eng | en_US |
dc.publisher | Springer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/ | en_US |
dc.relation.ispartof | Lecture Notes in Computer Science | en_US |
dc.rights | The original publication is available at www.springerlink.com | - |
dc.subject | Dynamic process planning | en_US |
dc.subject | Heuristics | en_US |
dc.subject | Jobshop scheduling | en_US |
dc.subject | Multi-agent system | en_US |
dc.title | A multi-agent system for dynamic integrated process planning and scheduling using heuristics | en_US |
dc.type | Conference_Paper | en_US |
dc.identifier.email | Wong, TN: tnwong@hku.hk | en_US |
dc.identifier.authority | Wong, TN=rp00192 | en_US |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.doi | 10.1007/978-3-642-30947-2_35 | en_US |
dc.identifier.scopus | eid_2-s2.0-84863536445 | en_US |
dc.identifier.hkuros | 210580 | - |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-84863536445&selection=ref&src=s&origin=recordpage | en_US |
dc.identifier.volume | 7327 | en_US |
dc.identifier.spage | 309 | en_US |
dc.identifier.epage | 318 | en_US |
dc.publisher.place | Germany | en_US |
dc.identifier.scopusauthorid | Fung, RYK=7101741904 | en_US |
dc.identifier.scopusauthorid | Wong, TN=55301015400 | en_US |
dc.identifier.scopusauthorid | Zhang, L=55295535400 | en_US |
dc.customcontrol.immutable | sml 140107 | - |
dc.identifier.issnl | 0302-9743 | - |