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Article: Agent-based negotiation and decision making for dynamic supply chain formation
Title | Agent-based negotiation and decision making for dynamic supply chain formation | ||||||||
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Authors | |||||||||
Keywords | Constraint satisfaction Coordination Distributed decision making Negotiation Quality of service (QoS) Software agent Supply chain management | ||||||||
Issue Date | 2009 | ||||||||
Publisher | Elsevier 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? | ||||||||
Abstract | Modern 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 Identifier | http://hdl.handle.net/10722/85149 | ||||||||
ISSN | 2023 Impact Factor: 7.5 2023 SCImago Journal Rankings: 1.749 | ||||||||
ISI Accession Number ID |
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. | ||||||||
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DC Field | Value | Language |
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dc.contributor.author | Wang, M | en_HK |
dc.contributor.author | Wang, H | en_HK |
dc.contributor.author | Vogel, D | en_HK |
dc.contributor.author | Kumar, K | en_HK |
dc.contributor.author | Chiu, DKW | en_HK |
dc.date.accessioned | 2010-09-06T09:01:23Z | - |
dc.date.available | 2010-09-06T09:01:23Z | - |
dc.date.issued | 2009 | en_HK |
dc.identifier.citation | Engineering Applications Of Artificial Intelligence, 2009, v. 22 n. 7, p. 1046-1055 | en_HK |
dc.identifier.issn | 0952-1976 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/85149 | - |
dc.description.abstract | Modern 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.language | eng | en_HK |
dc.publisher | Elsevier Ltd. The Journal's web site is located at http://www.elsevier.com/locate/engappai | en_HK |
dc.relation.ispartof | Engineering Applications of Artificial Intelligence | en_HK |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | Constraint satisfaction | en_HK |
dc.subject | Coordination | en_HK |
dc.subject | Distributed decision making | en_HK |
dc.subject | Negotiation | en_HK |
dc.subject | Quality of service (QoS) | en_HK |
dc.subject | Software agent | en_HK |
dc.subject | Supply chain management | en_HK |
dc.title | Agent-based negotiation and decision making for dynamic supply chain formation | en_HK |
dc.type | Article | en_HK |
dc.identifier.openurl | http://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+Formation | en_HK |
dc.identifier.email | Wang, M: magwang@hku.hk | en_HK |
dc.identifier.authority | Wang, M=rp00967 | en_HK |
dc.description.nature | postprint | - |
dc.identifier.doi | 10.1016/j.engappai.2008.09.001 | en_HK |
dc.identifier.scopus | eid_2-s2.0-70149095252 | en_HK |
dc.identifier.hkuros | 161698 | en_HK |
dc.identifier.hkuros | 177131 | - |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-70149095252&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 22 | en_HK |
dc.identifier.issue | 7 | en_HK |
dc.identifier.spage | 1046 | en_HK |
dc.identifier.epage | 1055 | en_HK |
dc.identifier.isi | WOS:000271359500008 | - |
dc.publisher.place | United Kingdom | en_HK |
dc.relation.project | Supporting Knowledge-Based Navigation in e-Learning Systems | - |
dc.identifier.scopusauthorid | Wang, M=8723779700 | en_HK |
dc.identifier.scopusauthorid | Wang, H=7501731748 | en_HK |
dc.identifier.scopusauthorid | Vogel, D=23010700300 | en_HK |
dc.identifier.scopusauthorid | Kumar, K=7402676197 | en_HK |
dc.identifier.scopusauthorid | Chiu, DKW=23388109000 | en_HK |
dc.identifier.citeulike | 6205204 | - |
dc.identifier.issnl | 0952-1976 | - |