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dc.contributor.authorKabadurmus, O.
dc.contributor.authorErdogan, M.S.
dc.contributor.authorTasgetiren, M.F.
dc.date.accessioned2021-01-25T20:48:50Z
dc.date.available2021-01-25T20:48:50Z
dc.date.issued2017
dc.identifier10.1109/CEC.2017.7969390
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85028507701&doi=10.1109%2fCEC.2017.7969390&partnerID=40&md5=48786451374edb246251dc5dc5d8fd49
dc.identifier.urihttps://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/10068
dc.description.abstractA supply chain network consists of facilities located in dispersed geographical locations. This network structure can be optimized to minimize total cost or total inventory by deciding the order quantities and distribution of links connecting the faciliti
dc.language.isoEnglish
dc.publisher2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings
dc.titleDesign of multi-product multi-period two-echelon supply chain network to minimize bullwhip effect through differential evolution
dc.typeConference Paper
dc.relation.firstpage789
dc.relation.lastpage796
dc.description.affiliationsInternational Logistics Management Department, Yasar University, Izmir, Turkey


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