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Conference Paper: Ordering and pricing decisions in a closed-loop supply chain with fuzzy demand

TitleOrdering and pricing decisions in a closed-loop supply chain with fuzzy demand
Authors
KeywordsClosed-loop supply chain
Fuzzy demand
Ordering
Pricing
Supply chain management
Issue Date2011
PublisherIEEE Computer Society. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1002829
Citation
The 4th International Joint Conference on Computational Sciences and Optimization (CSO 2011), Yunnan, China, 15-19 April 2011. In Proceedings of the 4th CSO, 2011, p. 1206-1210 How to Cite?
AbstractThis paper investigates ordering and pricing decisions in a closed-loop supply chain with fuzzy demand. In this paper, the market demand is characterized as a fuzzy variable and two settings, decentralized channel and centralized channel, are considered. Based on game theory and fuzzy theory, the optimal ordering decision and the optimal recovery prices are given for each setting. The factors that impact the optimal ordering decision and the optimal recovery prices are also found. Some characteristics of the optimal decisions are discussed from the view of management. © 2011 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/142831
ISBN
References

 

DC FieldValueLanguage
dc.contributor.authorSong, Men_HK
dc.contributor.authorHuang, Men_HK
dc.contributor.authorChing, Wen_HK
dc.date.accessioned2011-10-28T02:56:21Z-
dc.date.available2011-10-28T02:56:21Z-
dc.date.issued2011en_HK
dc.identifier.citationThe 4th International Joint Conference on Computational Sciences and Optimization (CSO 2011), Yunnan, China, 15-19 April 2011. In Proceedings of the 4th CSO, 2011, p. 1206-1210en_HK
dc.identifier.isbn978-0-7695-4335-2-
dc.identifier.urihttp://hdl.handle.net/10722/142831-
dc.description.abstractThis paper investigates ordering and pricing decisions in a closed-loop supply chain with fuzzy demand. In this paper, the market demand is characterized as a fuzzy variable and two settings, decentralized channel and centralized channel, are considered. Based on game theory and fuzzy theory, the optimal ordering decision and the optimal recovery prices are given for each setting. The factors that impact the optimal ordering decision and the optimal recovery prices are also found. Some characteristics of the optimal decisions are discussed from the view of management. © 2011 IEEE.en_HK
dc.languageengen_US
dc.publisherIEEE Computer Society. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1002829en_US
dc.relation.ispartofProceedings of the International Joint Conference on Computational Sciences and Optimization, CSO 2011en_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rightsProceedings of the International Joint Conference on Computational Sciences and Optimization. Copyright © IEEE Computer Society.-
dc.rights©2011 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.subjectClosed-loop supply chainen_HK
dc.subjectFuzzy demanden_HK
dc.subjectOrderingen_HK
dc.subjectPricingen_HK
dc.subjectSupply chain managementen_HK
dc.titleOrdering and pricing decisions in a closed-loop supply chain with fuzzy demanden_HK
dc.typeConference_Paperen_HK
dc.identifier.emailChing, W:wching@hku.hken_HK
dc.identifier.authorityChing, W=rp00679en_HK
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/CSO.2011.198en_HK
dc.identifier.scopuseid_2-s2.0-80052010560en_HK
dc.identifier.hkuros184624en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-80052010560&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage1206en_HK
dc.identifier.epage1210en_HK
dc.description.otherThe 4th International Joint Conference on Computational Sciences and Optimization (CSO 2011), Yunnan, China, 15-19 April 2011. In Proceedings of the 4th CSO, 2011, p. 1206-1210-
dc.identifier.scopusauthoridSong, M=48361963300en_HK
dc.identifier.scopusauthoridHuang, M=26643214600en_HK
dc.identifier.scopusauthoridChing, W=13310265500en_HK

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