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AFOR-TSM: A Tool for Forecast with Time Series Models

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dc.contributor.authorCastro Zuluagaspa
dc.contributor.authorBuilesspa
dc.contributor.authorRosanaspa
dc.contributor.authorBravospa
dc.contributor.authorMaria Cristinaspa
dc.contributor.departmentUniversidad EAFIT. Departamento de Ingeniería de Producciónspa
dc.contributor.researchgroupGestión de Producción y Logísticaspa
dc.date.accessioned2021-04-12T19:59:18Z
dc.date.available2021-04-12T19:59:18Z
dc.date.issued2012-01-01
dc.description.abstractOne of the most complex and necessary subjects in courses of Operations Management (OM) is that students understand and apply Time Series Models (TSM) to forecast future demand.eng
dc.identifierhttps://eafit.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=4786
dc.identifier.isbn9780983762416
dc.identifier.urihttps://hdl.handle.net/10784/28511
dc.language.isoeng
dc.publisherInst of Industrial Engineers; Cdr edition
dc.rightsInst of Industrial Engineers; Cdr edition
dc.sourceIIE Annual Conference and Expo: 2012 Conference Proceedings
dc.subjectTime Series Modelseng
dc.subjectForecastingeng
dc.subjectOperations Management Courseeng
dc.subjectSupport Tooleng
dc.subjectEducationeng
dc.titleAFOR-TSM: A Tool for Forecast with Time Series Models
dc.typeinfo:eu-repo/semantics/bookPart
dc.type.coarversionhttp://purl.org/coar/resource_type/c_3249
dc.type.localCapítulo o parte de un librospa
dc.type.redcolhttp://purl.org/redcol/resource_type/CAP_LIB
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dspace.entity.typePublication

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