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A multi-echelon inventory management framework for stochastic and fuzzy supply chains

dc.contributor.authorGumus, Alev Taskin
dc.contributor.authorGuneri, Ali Nat
dc.contributor.institutionauthorTAŞKIN, Alev
dc.date.accessioned2026-06-27T13:07:59Z
dc.date.issued2009
dc.description.abstractIn this paper, for effective multi-echelon Supply chains under stochastic and fuzzy environments, an inventory management framework and deterministic/stochastic-neuro-fuzzy cost models within the context of this framework are structured. Then, a numerical application in a three-echelon tree-structure chain is presented to show the applicability and performance of proposed framework. It can be said that, by our framework, efficient forecast data is ensured, realistic cost titles are considered in proposed models, and also the minimum total supply chain cost values under demand, lead time and expediting cost pattern changes are presented and examined in detail. (C) 2008 Elsevier Ltd. All rights reserved.en
dc.description.urihttps://doi.org/10.1016/j.eswa.2008.06.082
dc.identifier.doi10.1016/j.eswa.2008.06.082
dc.identifier.eissn1873-6793
dc.identifier.endpage5575
dc.identifier.issn0957-4174
dc.identifier.issue3
dc.identifier.startpage5565
dc.identifier.urihttps://hdl.handle.net/20.500.14981/50181
dc.identifier.volume36
dc.identifier.wos000263584100171
dc.language.isoeng
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD
dc.relation.ispartofEXPERT SYSTEMS WITH APPLICATIONS
dc.subjectSupply chain management
dc.subjectMulti-echelon inventory management
dc.subjectStochastic cost model
dc.subjectNeural networks
dc.subjectNeuro-fuzzy approximation
dc.subjectOPTIMAL POLICIES
dc.subjectDEMAND UNCERTAINTY
dc.subjectSYSTEM
dc.subjectMODEL
dc.subjectAPPROXIMATIONS
dc.subjectNETWORKS
dc.subjectComputer Science
dc.subjectEngineering
dc.subjectOperations Research & Management Science
dc.titleA multi-echelon inventory management framework for stochastic and fuzzy supply chains
dc.typeArticle
dspace.entity.typePublication
local.import.sourceWOS

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