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Article: Applying hybrid case-based reasoning in agent-based negotiations for supply chain management

TitleApplying hybrid case-based reasoning in agent-based negotiations for supply chain management
Authors
KeywordsCase-based reasoning
Hybrid learning
Multi-agent system
Negotiation strategy
Supply chain management
Issue Date2010
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/eswa
Citation
Expert Systems With Applications, 2010, v. 37 n. 12, p. 8322-8332 How to Cite?
AbstractIn recent years, enormous research effort has been spent on the development of multi-agent systems to automate buyer-seller negotiations in supply chain management (SCM) applications. In many of these agent-based negotiation systems, the negotiation process is restricted to the stage when agents interact to exchange bargaining offers; activities in the pre-bargaining and post-bargaining stages are ignored. With a more comprehensive perspective, the negotiation lifecycle comprises a number of phases including the pre- and post-bargaining phases, in addition to the phase when participants interact to bargain. In this paper, a hybrid case-based reasoning approach is applied in the pre- and post-negotiation phases to support adaptive negotiation strategy for buyer-seller negotiations in SCM applications. When a new negotiation problem arrives, a similar previous negotiation case is retrieved from the case database and its solutions are recommended for inferring the negotiation parameters. The recommended parameters have to be adjusted to suit the new negotiation problem. Subsequent to negotiation completion, negotiation parameters and the negotiation outcome are analyzed and evaluated. After the evaluation, the new negotiation case, including the problem descriptions and solutions, is retained in the case database for future applications. © 2010 Elsevier Ltd. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/135133
ISSN
2015 Impact Factor: 2.981
2015 SCImago Journal Rankings: 1.839
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorFang, Fen_HK
dc.contributor.authorWong, TNen_HK
dc.date.accessioned2011-07-27T01:28:45Z-
dc.date.available2011-07-27T01:28:45Z-
dc.date.issued2010en_HK
dc.identifier.citationExpert Systems With Applications, 2010, v. 37 n. 12, p. 8322-8332en_HK
dc.identifier.issn0957-4174en_HK
dc.identifier.urihttp://hdl.handle.net/10722/135133-
dc.description.abstractIn recent years, enormous research effort has been spent on the development of multi-agent systems to automate buyer-seller negotiations in supply chain management (SCM) applications. In many of these agent-based negotiation systems, the negotiation process is restricted to the stage when agents interact to exchange bargaining offers; activities in the pre-bargaining and post-bargaining stages are ignored. With a more comprehensive perspective, the negotiation lifecycle comprises a number of phases including the pre- and post-bargaining phases, in addition to the phase when participants interact to bargain. In this paper, a hybrid case-based reasoning approach is applied in the pre- and post-negotiation phases to support adaptive negotiation strategy for buyer-seller negotiations in SCM applications. When a new negotiation problem arrives, a similar previous negotiation case is retrieved from the case database and its solutions are recommended for inferring the negotiation parameters. The recommended parameters have to be adjusted to suit the new negotiation problem. Subsequent to negotiation completion, negotiation parameters and the negotiation outcome are analyzed and evaluated. After the evaluation, the new negotiation case, including the problem descriptions and solutions, is retained in the case database for future applications. © 2010 Elsevier Ltd. All rights reserved.en_HK
dc.languageengen_US
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/eswaen_HK
dc.relation.ispartofExpert Systems with Applicationsen_HK
dc.subjectCase-based reasoningen_HK
dc.subjectHybrid learningen_HK
dc.subjectMulti-agent systemen_HK
dc.subjectNegotiation strategyen_HK
dc.subjectSupply chain managementen_HK
dc.titleApplying hybrid case-based reasoning in agent-based negotiations for supply chain managementen_HK
dc.typeArticleen_HK
dc.identifier.emailWong, TN: tnwong@hku.hken_HK
dc.identifier.authorityWong, TN=rp00192en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.eswa.2010.05.052en_HK
dc.identifier.scopuseid_2-s2.0-77957848382en_HK
dc.identifier.hkuros186772en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-77957848382&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume37en_HK
dc.identifier.issue12en_HK
dc.identifier.spage8322en_HK
dc.identifier.epage8332en_HK
dc.identifier.eissn1873-6793-
dc.identifier.isiWOS:000281339900104-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridFang, F=7202929817en_HK
dc.identifier.scopusauthoridWong, TN=55301015400en_HK

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