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dc.contributor.author김태복-
dc.date.accessioned2019-11-30T19:18:26Z-
dc.date.available2019-11-30T19:18:26Z-
dc.date.issued2017-09-
dc.identifier.citationAPPLIED MATHEMATICAL MODELLING, v. 49, page. 599-611en_US
dc.identifier.issn0307-904X-
dc.identifier.issn1872-8480-
dc.identifier.urihttps://www.sciencedirect.com/science/article/abs/pii/S0307904X17303037?via%3Dihub-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/115718-
dc.description.abstractIn addition to seeking profit maximization, reverse supply chains should further seek to maximize social benefit. Consequently, this paper investigates the coordination strategies among different parties in a three-echelon reverse supply chain consisting of a single collector, a single remanufacturer, and two retailers with complete information sharing. Additionally, this paper discusses four coordination strategies and performs a detailed comparative analysis on the optimal decisions of different models. Three numerical analyses are performed to show how the potential market demand of remanufactured products and the utilization ratio of used products affect the optimal total channel profit, recycle quantity and retail prices among four models in a reverse supply chain. The results indicate that optimal total channel profit and recycle quantity in a reverse supply chain are maximized in a centralized model. With the same potential market demand of remanufactured products and utilization ratio of used products, a centralized model maximizes the economic and social benefit compared to the other three models. (C) 2017 Elsevier Inc. All rights reserved.en_US
dc.description.sponsorshipThis work was supported by the National Natural Science Foundation of China [grant number 71471105].en_US
dc.language.isoen_USen_US
dc.publisherELSEVIER SCIENCE INCen_US
dc.subjectReverse supply chainsen_US
dc.subjectCoordination strategiesen_US
dc.subjectRecycle quantityen_US
dc.subjectSocial benefiten_US
dc.titleCoordination strategies in a three-echelon reverse supply chain for economic and social benefiten_US
dc.typeArticleen_US
dc.relation.volume49-
dc.identifier.doi10.1016/j.apm.2017.04.031-
dc.relation.page599-611-
dc.relation.journalAPPLIED MATHEMATICAL MODELLING-
dc.contributor.googleauthorLi, Jian-
dc.contributor.googleauthorWang, Zhen-
dc.contributor.googleauthorJiang, Bao-
dc.contributor.googleauthorKim, Taebok-
dc.relation.code2017008933-
dc.sector.campusS-
dc.sector.daehakCOLLEGE OF ENGINEERING[S]-
dc.sector.departmentDEPARTMENT OF INDUSTRIAL ENGINEERING-
dc.identifier.pidtbkim-
dc.identifier.researcherIDG-6415-2017-
dc.identifier.orcidhttp://orcid.org/0000-0002-1055-5742-
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COLLEGE OF ENGINEERING[S](공과대학) > INDUSTRIAL ENGINEERING(산업공학과) > Articles
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