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- Publisher Website: 10.1016/j.cie.2012.06.018
- Scopus: eid_2-s2.0-84879689099
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Article: An ontology based approach to organize multi-agent assisted supply chain negotiations
Title | An ontology based approach to organize multi-agent assisted supply chain negotiations |
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Authors | |
Keywords | Inference Rules Multi-Agent System Negotiation Ontology Supply Chain |
Issue Date | 2013 |
Publisher | Pergamon. 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? |
Abstract | Effective 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 Identifier | http://hdl.handle.net/10722/177629 |
ISSN | 2023 Impact Factor: 6.7 2023 SCImago Journal Rankings: 1.701 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Wang, G | en_US |
dc.contributor.author | Wong, TN | en_US |
dc.contributor.author | Wang, X | en_US |
dc.date.accessioned | 2012-12-19T09:38:27Z | - |
dc.date.available | 2012-12-19T09:38:27Z | - |
dc.date.issued | 2013 | en_US |
dc.identifier.citation | Computers And Industrial Engineering, 2013, v. 65 n. 1, p. 2-15 | en_US |
dc.identifier.issn | 0360-8352 | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/177629 | - |
dc.description.abstract | Effective 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.language | eng | en_US |
dc.publisher | Pergamon. The Journal's web site is located at http://www.elsevier.com/locate/cie | en_US |
dc.relation.ispartof | Computers and Industrial Engineering | en_US |
dc.subject | Inference Rules | en_US |
dc.subject | Multi-Agent System | en_US |
dc.subject | Negotiation | en_US |
dc.subject | Ontology | en_US |
dc.subject | Supply Chain | en_US |
dc.title | An ontology based approach to organize multi-agent assisted supply chain negotiations | en_US |
dc.type | Article | 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 | 10.1016/j.cie.2012.06.018 | en_US |
dc.identifier.scopus | eid_2-s2.0-84879689099 | en_US |
dc.identifier.hkuros | 221511 | - |
dc.identifier.isi | WOS:000318136100002 | - |
dc.publisher.place | United Kingdom | en_US |
dc.identifier.scopusauthorid | Wang, G=7407149139 | en_US |
dc.identifier.scopusauthorid | Wong, TN=55301015400 | en_US |
dc.identifier.scopusauthorid | Wang, X=36618067800 | en_US |
dc.identifier.citeulike | 11180808 | - |
dc.identifier.issnl | 0360-8352 | - |