Fill rate: from its definition to its calculation for the continuous (s,Q) inventory system with discrete demands and lost sales

dc.contributor.affiliationCentro de Investigación en Gestión de Empresas (CEGEA)
dc.contributor.affiliationDepartamento de Organización de Empresas
dc.contributor.affiliationFacultad de Administración y Dirección de Empresas
dc.contributor.authorBabiloni, Eugenia
dc.contributor.authorGuijarro, Ester
dc.contributor.funderEuropean Regional Development Fundes_ES
dc.contributor.funderMinisterio de Economía y Competitividades_ES
dc.date.accessioned2021-07-24T03:33:26Z
dc.date.available2021-07-24T03:33:26Z
dc.date.issued2020-03es_ES
dc.description.abstract[EN] Customer service measures are traditionally used to determine the performance or/and the control parameters of any inventory system. Among them, the fill rate is one of the most widely used in practice and is defined as the fraction of demand that is immediately met from shelf i.e. from the available on-hand stock. However, this definition itself set out several problems that lead to consider two different approaches to compute the fill rate: the traditional, which computes the fill rate in terms of units short; and the standard, which directly computes the expected satisfied demand. This paper suggest two expressions, the traditional and the standard, to compute the fill rate in the continuous reorder point, order quantity (s, Q) policy following these approaches. Experimental results shows that the traditional approach is biased since underestimate the real fill rate whereas the standard computes it accurately and therefore both approaches cannot be treated as equivalent. This paper focuses on the lost sales context and discrete distributed demands.en_EN
dc.description.accrualMethodSes_ES
dc.description.bibliographicCitationBabiloni, E.; Guijarro, E. (2020). Fill rate: from its definition to its calculation for the continuous (s,Q) inventory system with discrete demands and lost sales. Central European Journal of Operations Research. 28(1):35-43. https://doi.org/10.1007/s10100-018-0546-7es_ES
dc.description.issue1es_ES
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dc.description.sponsorshipThis work was supported by the European Regional Development Fund and Spanish Government (MINECO/FEDER, UE) under the Project with reference DPI2015-64133-R.es_ES
dc.description.upvformatpfin43es_ES
dc.description.upvformatpinicio35es_ES
dc.description.volume28es_ES
dc.identifier.doi10.1007/s10100-018-0546-7es_ES
dc.identifier.issn1435-246Xes_ES
dc.identifier.urihttps://riunet.upv.es/handle/10251/170078
dc.languageIngléses_ES
dc.publisherSpringer-Verlages_ES
dc.relation.ispartofCentral European Journal of Operations Researches_ES
dc.relation.pasarelaS\366363es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO//DPI2015-64133-R/ES/MITIGACION DEL EFECTO LATIGO MEDIANTE NOVEDOSAS TECNICAS DE PREDICCION Y CONTROL DE INVENTARIOS UTILIZANDO EL BIG DATA RESULTANTE DE LAS COLABORACIONES INTEREMPRESARIALES/es_ES
dc.relation.publisherversionhttps://doi.org/10.1007/s10100-018-0546-7es_ES
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dc.rightsReserva de todos los derechoses_ES
dc.rights.accessRightsAbiertoes_ES
dc.subjectInventoryes_ES
dc.subjectContinuous reviewes_ES
dc.subjectFill ratees_ES
dc.subjectLost saleses_ES
dc.subject.classificationORGANIZACION DE EMPRESASes_ES
dc.titleFill rate: from its definition to its calculation for the continuous (s,Q) inventory system with discrete demands and lost saleses_ES
dc.typeArtículoes_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES
dspace.entity.typePublication
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