Economic Order Quantity Model with Backorders using Trapezoidal Fuzzy Numbers

dc.contributor.authorBulancak, Evren
dc.contributor.authorKirkavak, Nureddin
dc.date.accessioned2026-02-06T18:28:22Z
dc.date.issued2010
dc.departmentDoğu Akdeniz Üniversitesi
dc.description5th International Conference on Soft Computing, Computing with Words and Perceptions in System Analysis, Decision and Control -- SEP 02-04, 2009 -- Famagusta, CYPRUS
dc.description.abstractInventory is a common name stands for the items which are in stock points or work-in-process serving to decouple successive operations. Effective inventory management is essential for manufacturing organizations for a number of reasons. A basic economic order quantity model allowing backorders is considered in this paper. All cost parameters and the demand is assumed to be fuzzy numbers with trapezoidal membership function. By the graded mean integration representation method of defuzzification, total cost formula will be derived in the fuzzy sense in order to obtain the optimal order quantity. A numerical example is provided to illustrate the results of the proposed model.
dc.identifier.endpage50
dc.identifier.isbn978-1-4244-3429-9
dc.identifier.scopus2-s2.0-77950504967
dc.identifier.scopusqualityN/A
dc.identifier.startpage47
dc.identifier.urihttps://hdl.handle.net/11129/10883
dc.identifier.wosWOS:000287219100013
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIEEE
dc.relation.ispartof2009 Fifth International Conference on Soft Computing, Computing With Words and Perceptions in System Analysis, Decision and Control
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260204
dc.subjectEOQ
dc.subjectInventory Management
dc.subjectBackorder
dc.subjectFuzzy Modeling
dc.subjectTrapezoidal Membership Function
dc.titleEconomic Order Quantity Model with Backorders using Trapezoidal Fuzzy Numbers
dc.typeConference Object

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