Implementation of Fuzzy Linear Programming Approach for More Accurate Demand Forecasting in a Make-to-Stock Company

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dc.contributor.authorTeke, Çağatay
dc.date.accessioned2026-02-28T11:57:59Z
dc.date.available2026-02-28T11:57:59Z
dc.date.issued2023
dc.departmentBayburt Üniversitesi
dc.description.abstractDemand forecasting is of crucial importance for make-to-stock companies because product demand is uncertain and it changes with time. Fuzzy linear programming (FLP) can be an optimum approach for such uncertain situations. In this study, the FLP model was used for more accurate demand forecasting in a make-to-stock company. Demand forecasting study was carried out according to the FLP method and linear programming (LP) method. Solutions of FLP and LP were compared in terms of imputed shortage cost, inventory carrying cost, and net profit. Results show that the applied FLP method is more advantageous than LP as it provides a 67% decrease in costs and a 15% increase in net profit.
dc.identifier.doi10.21541/apjess.1205309
dc.identifier.endpage40
dc.identifier.issn2822-2385
dc.identifier.issue1
dc.identifier.startpage35
dc.identifier.trdizinid1152372
dc.identifier.urihttps://doi.org/10.21541/apjess.1205309
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1152372
dc.identifier.urihttps://hdl.handle.net/20.500.12403/5282
dc.identifier.volume11
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.relation.ispartofAcademic Platform journal of engineering and smart systems (Online)
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_TR-Dizin_20260218
dc.subjectDemand Forecasting
dc.subjectFuzzy Linear Programming
dc.subjectMake-to-Stock
dc.titleImplementation of Fuzzy Linear Programming Approach for More Accurate Demand Forecasting in a Make-to-Stock Company
dc.typeArticle

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