File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: An ontology based approach to organize multi-agent assisted supply chain negotiations

TitleAn ontology based approach to organize multi-agent assisted supply chain negotiations
Authors
KeywordsInference Rules
Multi-Agent System
Negotiation
Ontology
Supply Chain
Issue Date2013
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/cie
Citation
Computers And Industrial Engineering, 2013, v. 65 n. 1, p. 2-15 How to Cite?
AbstractEffective supply chain management (SCM) comprises activities involving the demand and supply of resources and services. Negotiation is an essential approach to solve conflicting transaction and scheduling problems among supply chain members. The multi-agent system (MAS) technology has provided the potential of automating supply chain negotiations to alleviate human interactions. Software agents are supposed to perform on behalf of their human owners only when equipped with sophisticated negotiation knowledge. To better organize the negotiation knowledge utilized by agents and facilitate agents' adaptive negotiation decision making ability, an ontology-based approach is proposed in this paper. Firstly, the multi-agent assisted supply chain negotiation scheme is presented to configure the general design components of the negotiation system, covering the agent intelligence modules, the knowledge organization method and the negotiation protocol. Then, the ontology-based negotiation knowledge organization method is specified. The negotiation knowledge is separated into shared negotiation ontology and private negotiation ontology to ensure both the agent communicative interoperability and the privacy of strategic knowledge. Inference rules are defined on top of the private negotiation ontology to guide agents' reasoning ability. Through this method, agents' negotiation behaviors will be more adaptive to various negotiation environments utilizing corresponding negotiation knowledge. © 2012 Elsevier Ltd. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/177629
ISSN
2015 Impact Factor: 2.086
2015 SCImago Journal Rankings: 1.630
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorWang, Gen_US
dc.contributor.authorWong, TNen_US
dc.contributor.authorWang, Xen_US
dc.date.accessioned2012-12-19T09:38:27Z-
dc.date.available2012-12-19T09:38:27Z-
dc.date.issued2013en_US
dc.identifier.citationComputers And Industrial Engineering, 2013, v. 65 n. 1, p. 2-15en_US
dc.identifier.issn0360-8352en_US
dc.identifier.urihttp://hdl.handle.net/10722/177629-
dc.description.abstractEffective supply chain management (SCM) comprises activities involving the demand and supply of resources and services. Negotiation is an essential approach to solve conflicting transaction and scheduling problems among supply chain members. The multi-agent system (MAS) technology has provided the potential of automating supply chain negotiations to alleviate human interactions. Software agents are supposed to perform on behalf of their human owners only when equipped with sophisticated negotiation knowledge. To better organize the negotiation knowledge utilized by agents and facilitate agents' adaptive negotiation decision making ability, an ontology-based approach is proposed in this paper. Firstly, the multi-agent assisted supply chain negotiation scheme is presented to configure the general design components of the negotiation system, covering the agent intelligence modules, the knowledge organization method and the negotiation protocol. Then, the ontology-based negotiation knowledge organization method is specified. The negotiation knowledge is separated into shared negotiation ontology and private negotiation ontology to ensure both the agent communicative interoperability and the privacy of strategic knowledge. Inference rules are defined on top of the private negotiation ontology to guide agents' reasoning ability. Through this method, agents' negotiation behaviors will be more adaptive to various negotiation environments utilizing corresponding negotiation knowledge. © 2012 Elsevier Ltd. All rights reserved.en_US
dc.languageengen_US
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/cieen_US
dc.relation.ispartofComputers and Industrial Engineeringen_US
dc.subjectInference Rulesen_US
dc.subjectMulti-Agent Systemen_US
dc.subjectNegotiationen_US
dc.subjectOntologyen_US
dc.subjectSupply Chainen_US
dc.titleAn ontology based approach to organize multi-agent assisted supply chain negotiationsen_US
dc.typeArticleen_US
dc.identifier.emailWong, TN: tnwong@hku.hken_US
dc.identifier.authorityWong, TN=rp00192en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1016/j.cie.2012.06.018en_US
dc.identifier.scopuseid_2-s2.0-84879689099en_US
dc.identifier.hkuros221511-
dc.identifier.isiWOS:000318136100002-
dc.publisher.placeUnited Kingdomen_US
dc.identifier.scopusauthoridWang, G=7407149139en_US
dc.identifier.scopusauthoridWong, TN=55301015400en_US
dc.identifier.scopusauthoridWang, X=36618067800en_US
dc.identifier.citeulike11180808-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats