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Article: Agent-based negotiation and decision making for dynamic supply chain formation

TitleAgent-based negotiation and decision making for dynamic supply chain formation
Authors
KeywordsConstraint satisfaction
Coordination
Distributed decision making
Negotiation
Quality of service (QoS)
Software agent
Supply chain management
Issue Date2009
PublisherElsevier Ltd. The Journal's web site is located at http://www.elsevier.com/locate/engappai
Citation
Engineering Applications Of Artificial Intelligence, 2009, v. 22 n. 7, p. 1046-1055 How to Cite?
AbstractModern businesses are facing the challenge of effectively coordinating their supply chains from upstream to downstream services. It is a complex problem to search, schedule, and coordinate a set of services from a large number of service resources under various constraints and uncertainties. Existing approaches to this problem have relied on complete information regarding service requirements and resources, without adequately addressing the dynamics and uncertainties of the environments. The real-world situations are complicated as a result of ambiguity in the requirements of the services, the uncertainty of solutions from service providers, and the interdependencies among the services to be composed. This paper investigates the complexity of supply chain formation and proposes an agent-mediated coordination approach. Each agent works as a broker for each service type, dedicated to selecting solutions for each service as well as interacting with other agents in refining the decision making to achieve compatibility among the solutions. The coordination among agents concerns decision making at strategic, tactical, and operational level. At the strategic level, agents communicate and negotiate for supply chain formation; at the tactical level, argumentation is used by agents to communicate and understand the preferences and constraints of each other; at the operational level, different strategies are used for selecting the preferences. Based on this approach, a prototype has been implemented with simulated experiments highlighting the effectiveness of the approach. © 2008 Elsevier Ltd. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/85149
ISSN
2015 Impact Factor: 2.368
2015 SCImago Journal Rankings: 1.371
ISI Accession Number ID
Funding AgencyGrant Number
UGC GRF716907
717708
Hong Kong SAR Government
University of Hong Kong200711159052
Funding Information:

This research is supported by UGC GRF Grant (716907 and 717708) from the Hong Kong SAR Government and Seeding Funding for Basic Research (200711159052) from The University of Hong Kong.

References

 

DC FieldValueLanguage
dc.contributor.authorWang, Men_HK
dc.contributor.authorWang, Hen_HK
dc.contributor.authorVogel, Den_HK
dc.contributor.authorKumar, Ken_HK
dc.contributor.authorChiu, DKWen_HK
dc.date.accessioned2010-09-06T09:01:23Z-
dc.date.available2010-09-06T09:01:23Z-
dc.date.issued2009en_HK
dc.identifier.citationEngineering Applications Of Artificial Intelligence, 2009, v. 22 n. 7, p. 1046-1055en_HK
dc.identifier.issn0952-1976en_HK
dc.identifier.urihttp://hdl.handle.net/10722/85149-
dc.description.abstractModern businesses are facing the challenge of effectively coordinating their supply chains from upstream to downstream services. It is a complex problem to search, schedule, and coordinate a set of services from a large number of service resources under various constraints and uncertainties. Existing approaches to this problem have relied on complete information regarding service requirements and resources, without adequately addressing the dynamics and uncertainties of the environments. The real-world situations are complicated as a result of ambiguity in the requirements of the services, the uncertainty of solutions from service providers, and the interdependencies among the services to be composed. This paper investigates the complexity of supply chain formation and proposes an agent-mediated coordination approach. Each agent works as a broker for each service type, dedicated to selecting solutions for each service as well as interacting with other agents in refining the decision making to achieve compatibility among the solutions. The coordination among agents concerns decision making at strategic, tactical, and operational level. At the strategic level, agents communicate and negotiate for supply chain formation; at the tactical level, argumentation is used by agents to communicate and understand the preferences and constraints of each other; at the operational level, different strategies are used for selecting the preferences. Based on this approach, a prototype has been implemented with simulated experiments highlighting the effectiveness of the approach. © 2008 Elsevier Ltd. All rights reserved.en_HK
dc.languageengen_HK
dc.publisherElsevier Ltd. The Journal's web site is located at http://www.elsevier.com/locate/engappaien_HK
dc.relation.ispartofEngineering Applications of Artificial Intelligenceen_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectConstraint satisfactionen_HK
dc.subjectCoordinationen_HK
dc.subjectDistributed decision makingen_HK
dc.subjectNegotiationen_HK
dc.subjectQuality of service (QoS)en_HK
dc.subjectSoftware agenten_HK
dc.subjectSupply chain managementen_HK
dc.titleAgent-based negotiation and decision making for dynamic supply chain formationen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0952-1976&volume=&spage=&epage=&date=2009&atitle=Agent-Based+Negotiation+and+Decision+Making+for+Dynamic+Supply+Chain+Formationen_HK
dc.identifier.emailWang, M: magwang@hku.hken_HK
dc.identifier.authorityWang, M=rp00967en_HK
dc.description.naturepostprint-
dc.identifier.doi10.1016/j.engappai.2008.09.001en_HK
dc.identifier.scopuseid_2-s2.0-70149095252en_HK
dc.identifier.hkuros161698en_HK
dc.identifier.hkuros177131-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-70149095252&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume22en_HK
dc.identifier.issue7en_HK
dc.identifier.spage1046en_HK
dc.identifier.epage1055en_HK
dc.identifier.isiWOS:000271359500008-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridWang, M=8723779700en_HK
dc.identifier.scopusauthoridWang, H=7501731748en_HK
dc.identifier.scopusauthoridVogel, D=23010700300en_HK
dc.identifier.scopusauthoridKumar, K=7402676197en_HK
dc.identifier.scopusauthoridChiu, DKW=23388109000en_HK
dc.identifier.citeulike6205204-

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