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

dc.contributor.authorTeke, Çağatay
dc.date.accessioned2024-10-04T19:05:27Z
dc.date.available2024-10-04T19:05:27Z
dc.date.issued2023
dc.departmentBayburt Üniversitesien_US
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.en_US
dc.identifier.doi10.21541/apjess.1205309
dc.identifier.endpage40en_US
dc.identifier.issn2822-2385
dc.identifier.issue1en_US
dc.identifier.startpage35en_US
dc.identifier.trdizinid1152372en_US
dc.identifier.urihttps://doi.org/10.21541/apjess.1205309
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1152372
dc.identifier.urihttp://hdl.handle.net/20.500.12403/4424
dc.identifier.volume11en_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.relation.ispartofAcademic Platform journal of engineering and smart systems (Online)en_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectDemand Forecastingen_US
dc.subjectFuzzy Linear Programmingen_US
dc.subjectMake-to-Stocken_US
dc.titleImplementation of Fuzzy Linear Programming Approach for More Accurate Demand Forecasting in a Make-to-Stock Companyen_US
dc.typeArticleen_US

Dosyalar