An approach to make statistical forecasting of products with stationary/seasonal patterns

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dc.contributor.authorCastro-Zuluaga, Carlos A.
dc.contributor.authorBotero-Escobar, Sara C.
dc.contributor.authorCastro-Zuluaga, Carlos A.
dc.contributor.authorBotero-Escobar, Sara C.
dc.contributor.departmentUniversidad EAFIT. Grupo de Investigación Gestión de Producción y Logística
dc.contributor.departmentUniversidad EAFIT. Departamento de Ingeniería de Producción
dc.contributor.eafitauthorccastro@eafit.edu.cospa
dc.contributor.eafitauthorsboter11@eafit.edu.cospa
dc.contributor.researchgroupGestión de Producción y Logísticaspa
dc.date.accessioned2015-02-20T16:10:23Z
dc.date.accessioned2015-02-20T16:10:23Z
dc.date.available2015-02-20T16:10:23Z
dc.date.available2015-02-20T16:10:23Z
dc.date.issued2014-05-09
dc.date.issued2014-05-09
dc.descriptionAt any company there are hundreds, maybe thousands of products that must be forecasted with the best accuracy, in order to make a good demand management process, which are required at all planning levels in a company -- Statistical forecasting must be done fast and sometimes there are not enough resources to do it well -- In In this paper we make a proposal of an approach to define the parameter of the exponential smoothing model for products with a behavior pattern stationary or seasonal/stationary in the historical data, to obtain “good forecasting" A numerical example is used to show the effectiveness of the proposed method
dc.description.abstractAt any company there are hundreds, maybe thousands of products that must be forecasted with the best accuracy, in order to make a good demand management process, which are required at all planning levels in a company -- Statistical forecasting must be done fast and sometimes there are not enough resources to do it well -- In In this paper we make a proposal of an approach to define the parameter of the exponential smoothing model for products with a behavior pattern stationary or seasonal/stationary in the historical data, to obtain “good forecasting" A numerical example is used to show the effectiveness of the proposed methodeng
dc.identifier.citationCASTRO-ZULUAGA, Carlos A. BOTERO-ESCOBAR, Sara C, (2014). An approach to make statistical forecasting of products with stationary/seasonal patterns. Proceedings of 25th Annual Production Operations Management Society (POMS) Conference. Atlanta, Ge, USA. May 9– 12th, 2014.spa
dc.identifier.urihttp://hdl.handle.net/10784/5015
dc.identifier.urihttp://hdl.handle.net/10784/5015
dc.language.isoengeng
dc.language.isoeng
dc.publisherProduction and Operations Management Society (POMS)spa
dc.publisherProduction and Operations Management Society (POMS)
dc.relation.ispartofProceedings of 25th Annual Production Operations Management Society (POMS) Conference, May. 2014spa
dc.relation.isversionofhttp://www.pomsmeetings.org/ConfProceedings/051/FullPapers/final_full_paper.htmspa
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccessspa
dc.rights.localAcceso restringidospa
dc.subject.keywordForecastingeng
dc.subject.keywordExponential Smoothingeng
dc.subject.keywordStationaryeng
dc.subject.keywordSeasonaleng
dc.titleAn approach to make statistical forecasting of products with stationary/seasonal patternseng
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.typeinfo:eu-repo/semantics/conferencePapereng
dc.typeconferencePapereng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.typepublishedVersioneng
dc.type.localDocumento de conferenciaspa

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