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Demand categorization, forecasting, and inventory control for intermittent demand items

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Demand categorization, forecasting, and inventory control for intermittent demand items

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dc.contributor.author Babiloni Griñón, María Eugenia es_ES
dc.contributor.author Cardós, Manuel es_ES
dc.contributor.author Albarracín Guillem, José Miguel es_ES
dc.contributor.author Palmer Gato, Marta Elena es_ES
dc.date.accessioned 2016-02-15T18:28:37Z
dc.date.available 2016-02-15T18:28:37Z
dc.date.issued 2010
dc.identifier.issn 1012-277X
dc.identifier.uri http://hdl.handle.net/10251/60903
dc.description Licencia Creative Commons: Attribution 3.0 Unported (CC BY 3.0) es_ES
dc.description.abstract It is commonly assumed that intermittent demand appears randomly, with many periods without demand; but that when it does appear, it tends to be higher than unit size. Basic and well-known forecasting techniques and stock policies perform very poorly with intermittent demand, making new approaches necessary. To select the appropriate inventory management policy, it is important to understand the demand pattern for the items, especially when demand is intermittent. The use of a forecasting method designed for an intermittent demand pattern, such as Crostons method, is required instead of a simpler and more common approach such as exponential smoothing. The starting point is to establish taxonomic rules to select efficiently the most appropriate forecasting and stock control policy to cope with thousands of items found in real environments. This paper contributes to the state of the art in: (i) categorisation of the demand pattern; (ii) methods to forecast intermittent demand; and (iii) stock control methods for items with intermittent demand patterns. The paper first presents a structured literature review to introduce managers to the theoretical research about how to deal with intermittent demand items in both forecasting and stock control methods, and then it points out some research gaps for future development for the three topics. es_ES
dc.language Inglés es_ES
dc.publisher Southern African Institute for Industrial Engineering: SAIIE es_ES
dc.relation This research was part of the project GEMA, supported by the Ministerio de Educación y Ciencia (Ref. DPI 2007-65441) es_ES
dc.relation.ispartof South African Journal of Industrial Engineering es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject.classification ORGANIZACION DE EMPRESAS es_ES
dc.title Demand categorization, forecasting, and inventory control for intermittent demand items es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.7166/21-2-54
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses es_ES
dc.description.bibliographicCitation Babiloni Griñón, ME.; Cardós, M.; Albarracín Guillem, JM.; Palmer Gato, ME. (2010). Demand categorization, forecasting, and inventory control for intermittent demand items. South African Journal of Industrial Engineering. 21(2):115-130. doi:10.7166/21-2-54 es_ES
dc.description.accrualMethod Senia es_ES
dc.relation.publisherversion http://dx.doi.org/10.7166/21-2-54 es_ES
dc.description.upvformatpinicio 115 es_ES
dc.description.upvformatpfin 130 es_ES
dc.type.version info:eu repo/semantics/publishedVersion es_ES
dc.description.volume 21 es_ES
dc.description.issue 2 es_ES
dc.relation.senia 39196 es_ES
dc.identifier.eissn 2224-7890


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