Determining Expected Value and Variance of Demand for Safety Stock Level under Random Parameters

dc.contributor.authorAkcan, Serap
dc.contributor.authorKhaniyev, Tahir
dc.contributor.authorKokangül, Ali
dc.contributor.authorGüldeş, Meral
dc.date.accessioned2025-08-14T13:45:39Z
dc.date.available2025-08-14T13:45:39Z
dc.date.issued2017
dc.departmentMühendislik Fakültesi
dc.description.abstractThe patients demand is vital in healthcare area. Thus, to determine safety stock level is also significant. But, determining safety stock level in inventory systems based on stochastic lead-time is a much smaller section of literature especially in healthcare area. Therefore, this study aimed to contribute to the literature in this area. This study is investigated for calculating the expected value and variance of demand for determining safety stock level under random parameters (the number of arrivals, transferal rates between levels and length of stays). The lead-time required when supplying medical material in the hospital is also random. A case study is presented using with the real data obtained from Neonatal Intensive Care Unit which has a complex inventory system because of the random parameters and transferal probabilities between levels.
dc.identifier.endpage399
dc.identifier.issn1305-130X / 1305-1385
dc.identifier.issue2
dc.identifier.startpage393
dc.identifier.urihttps://hdl.handle.net/20.500.12451/13736
dc.identifier.volume13
dc.indekslendigikaynakTR-Dizin
dc.institutionauthorAkcan, Serap
dc.language.isoen
dc.publisherManisa Celal Bayar Üniversitesi Fen Bilimleri Enstitüsü
dc.relation.ispartofCelal Bayar Üniversitesi Fen Bilimleri Dergisi
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectHealthcare Systems
dc.subjectNeonatal Intensive Care Unit
dc.subjectRandom Parameters
dc.subjectSafety Stock Level
dc.subjectVariance
dc.subjectExpected Value
dc.titleDetermining Expected Value and Variance of Demand for Safety Stock Level under Random Parameters
dc.typeArticle

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