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Conference Paper: An adaptive ontology-mediated approach to organize agent-based supply chain negotiation

TitleAn adaptive ontology-mediated approach to organize agent-based supply chain negotiation
Authors
KeywordsInference rules
Multi-agent
Negotiation
Ontology
Supply chain
Issue Date2010
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1800022
Citation
The 40th International Conference on Computers & Industrial Engineering (CIE40), Awaji City, Japan, 25-28 July 2010. In Proceedings of the International Conference on Computers and Industrial Engineering, 2010, p. 1-6 How to Cite?
AbstractEffective supply chain management (SCM) comprises activities involving the demand and supply of resources and services. One important aspect of SCM is that companies in the supply chain may have to make decisions which are conflicting with the other partners. Negotiation is an essential approach to solve transaction and scheduling problems among supply chain members. Multi-agent systems (MAS) are being increasingly used in SCM applications. The advances in agent technology have provided the potential of automating supply chain negotiations to alleviate human interactions. This paper proposes an ontology-mediated approach to organize the agent-based supply chain negotiation and equip the agents with sophisticated negotiation knowledge. Firstly, a generic agent negotiation scheme is developed involving the agent intelligence modules, the knowledge representation method and the interaction behaviors. Then, the negotiation knowledge is structured through the usage of ontology, which performs as a hierarchical architecture as well as a descriptive language. The relationships between negotiation ontology concepts are defined through SWRL inference rules. Through this method, agents' negotiation behaviors will be more adaptive to various negotiation environments in accordance with different negotiation knowledge.
DescriptionConference Theme: Soft Computing Techniques for Advanced Manufacturing and Service Systems
Session - MP-Fc Supply Chain Management & Logistics 3: cie181hk-1
Persistent Identifierhttp://hdl.handle.net/10722/126217
ISBN
References

 

DC FieldValueLanguage
dc.contributor.authorWang, Gen_HK
dc.contributor.authorWong, TNen_HK
dc.contributor.authorWang, Xen_HK
dc.date.accessioned2010-10-31T12:16:13Z-
dc.date.available2010-10-31T12:16:13Z-
dc.date.issued2010en_HK
dc.identifier.citationThe 40th International Conference on Computers & Industrial Engineering (CIE40), Awaji City, Japan, 25-28 July 2010. In Proceedings of the International Conference on Computers and Industrial Engineering, 2010, p. 1-6en_HK
dc.identifier.isbn9781424472956-
dc.identifier.urihttp://hdl.handle.net/10722/126217-
dc.descriptionConference Theme: Soft Computing Techniques for Advanced Manufacturing and Service Systems-
dc.descriptionSession - MP-Fc Supply Chain Management & Logistics 3: cie181hk-1-
dc.description.abstractEffective supply chain management (SCM) comprises activities involving the demand and supply of resources and services. One important aspect of SCM is that companies in the supply chain may have to make decisions which are conflicting with the other partners. Negotiation is an essential approach to solve transaction and scheduling problems among supply chain members. Multi-agent systems (MAS) are being increasingly used in SCM applications. The advances in agent technology have provided the potential of automating supply chain negotiations to alleviate human interactions. This paper proposes an ontology-mediated approach to organize the agent-based supply chain negotiation and equip the agents with sophisticated negotiation knowledge. Firstly, a generic agent negotiation scheme is developed involving the agent intelligence modules, the knowledge representation method and the interaction behaviors. Then, the negotiation knowledge is structured through the usage of ontology, which performs as a hierarchical architecture as well as a descriptive language. The relationships between negotiation ontology concepts are defined through SWRL inference rules. Through this method, agents' negotiation behaviors will be more adaptive to various negotiation environments in accordance with different negotiation knowledge.en_HK
dc.languageengen_HK
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1800022-
dc.relation.ispartof40th International Conference on Computers and Industrial Engineering: Soft Computing Techniques for Advanced Manufacturing and Service Systems, CIE40 2010en_HK
dc.rightsProceedings of the International Conference on Computers and Industrial Engineering. Copyright © IEEE.-
dc.rights©2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectInference rulesen_HK
dc.subjectMulti-agenten_HK
dc.subjectNegotiationen_HK
dc.subjectOntologyen_HK
dc.subjectSupply chainen_HK
dc.titleAn adaptive ontology-mediated approach to organize agent-based supply chain negotiationen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailWong, TN: tnwong@hku.hken_HK
dc.identifier.authorityWong, TN=rp00192en_HK
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/ICCIE.2010.5668193en_HK
dc.identifier.scopuseid_2-s2.0-78651465643en_HK
dc.identifier.hkuros179348en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-78651465643&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage1en_HK
dc.identifier.epage6-
dc.publisher.placeUnited States-
dc.description.otherThe 40th International Conference on Computers & Industrial Engineering (CIE40), Awaji City, Japan, 25-28 July 2010. In Proceedings of the International Conference on Computers and Industrial Engineering, 2010, p. 1-6-
dc.identifier.scopusauthoridWang, G=36618061900en_HK
dc.identifier.scopusauthoridWong, TN=55301015400en_HK
dc.identifier.scopusauthoridWang, X=36618067800en_HK

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