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

At 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 res...

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Autores:
Castro-Zuluaga, Carlos A.
Botero-Escobar, Sara C.
Castro-Zuluaga, Carlos A.
Botero-Escobar, Sara C.
Tipo de recurso:
Fecha de publicación:
2014
Institución:
Universidad EAFIT
Repositorio:
Repositorio EAFIT
Idioma:
eng
OAI Identifier:
oai:repository.eafit.edu.co:10784/5015
Acceso en línea:
http://hdl.handle.net/10784/5015
Palabra clave:
Forecasting
Exponential Smoothing
Stationary
Seasonal
Rights
License
Acceso restringido
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spelling 2015-02-20T16:10:23Z2015-02-20T16:10:23Z2014-05-092014-05-092015-02-20T16:10:23Z2015-02-20T16:10:23ZCASTRO-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.http://hdl.handle.net/10784/5015http://hdl.handle.net/10784/5015At 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 methodAt 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 methodengengProduction and Operations Management Society (POMS)Production and Operations Management Society (POMS)Proceedings of 25th Annual Production Operations Management Society (POMS) Conference, May. 2014http://www.pomsmeetings.org/ConfProceedings/051/FullPapers/final_full_paper.htmAn approach to make statistical forecasting of products with stationary/seasonal patternsinfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/conferencePaperconferencePaperinfo:eu-repo/semantics/publishedVersionpublishedVersionDocumento de conferenciahttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_c94fAcceso restringidohttp://purl.org/coar/access_right/c_16ecForecastingExponential SmoothingStationarySeasonalUniversidad EAFIT. Grupo de Investigación Gestión de Producción y LogísticaUniversidad EAFIT. Departamento de Ingeniería de Producciónccastro@eafit.edu.cosboter11@eafit.edu.coCastro-Zuluaga, Carlos A.Botero-Escobar, Sara C.Castro-Zuluaga, Carlos A.Botero-Escobar, Sara C.Gestión de Producción y LogísticaLICENSElicense.txtlicense.txttext/plain; charset=utf-82556https://repository.eafit.edu.co/bitstreams/67272954-ac60-45a9-a2bb-a311df0b2f79/download76025f86b095439b7ac65b367055d40cMD51ORIGINALAn approach to make statistical forecasting of products with stationary seasonal patterns.pdfAn approach to make statistical forecasting of products with stationary seasonal patterns.pdfapplication/pdf460225https://repository.eafit.edu.co/bitstreams/3a3d1cfb-7cd1-4c8c-8f98-83240ae7d543/download9a766826dfabe4cea2622f17e1579c32MD5210784/5015oai:repository.eafit.edu.co:10784/50152021-11-03 16:37:24.697restrictedhttps://repository.eafit.edu.coRepositorio Institucional Universidad EAFITrepositorio@eafit.edu.co
dc.title.eng.fl_str_mv An approach to make statistical forecasting of products with stationary/seasonal patterns
title An approach to make statistical forecasting of products with stationary/seasonal patterns
spellingShingle An approach to make statistical forecasting of products with stationary/seasonal patterns
Forecasting
Exponential Smoothing
Stationary
Seasonal
title_short An approach to make statistical forecasting of products with stationary/seasonal patterns
title_full An approach to make statistical forecasting of products with stationary/seasonal patterns
title_fullStr An approach to make statistical forecasting of products with stationary/seasonal patterns
title_full_unstemmed An approach to make statistical forecasting of products with stationary/seasonal patterns
title_sort An approach to make statistical forecasting of products with stationary/seasonal patterns
dc.creator.fl_str_mv Castro-Zuluaga, Carlos A.
Botero-Escobar, Sara C.
Castro-Zuluaga, Carlos A.
Botero-Escobar, Sara C.
dc.contributor.department.none.fl_str_mv Universidad EAFIT. Grupo de Investigación Gestión de Producción y Logística
Universidad EAFIT. Departamento de Ingeniería de Producción
dc.contributor.eafitauthor.spa.fl_str_mv ccastro@eafit.edu.co
sboter11@eafit.edu.co
dc.contributor.author.none.fl_str_mv Castro-Zuluaga, Carlos A.
Botero-Escobar, Sara C.
Castro-Zuluaga, Carlos A.
Botero-Escobar, Sara C.
dc.contributor.researchgroup.spa.fl_str_mv Gestión de Producción y Logística
dc.subject.keyword.eng.fl_str_mv Forecasting
Exponential Smoothing
Stationary
Seasonal
topic Forecasting
Exponential Smoothing
Stationary
Seasonal
description At 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
publishDate 2014
dc.date.issued.none.fl_str_mv 2014-05-09
2014-05-09
dc.date.available.none.fl_str_mv 2015-02-20T16:10:23Z
2015-02-20T16:10:23Z
dc.date.accessioned.none.fl_str_mv 2015-02-20T16:10:23Z
2015-02-20T16:10:23Z
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
dc.type.eng.fl_str_mv info:eu-repo/semantics/conferencePaper
conferencePaper
info:eu-repo/semantics/publishedVersion
publishedVersion
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_c94f
dc.type.local.spa.fl_str_mv Documento de conferencia
status_str publishedVersion
dc.identifier.citation.spa.fl_str_mv CASTRO-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.
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10784/5015
http://hdl.handle.net/10784/5015
identifier_str_mv CASTRO-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.
url http://hdl.handle.net/10784/5015
dc.language.iso.eng.fl_str_mv eng
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartof.spa.fl_str_mv Proceedings of 25th Annual Production Operations Management Society (POMS) Conference, May. 2014
dc.relation.isversionof.spa.fl_str_mv http://www.pomsmeetings.org/ConfProceedings/051/FullPapers/final_full_paper.htm
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_16ec
dc.rights.local.spa.fl_str_mv Acceso restringido
rights_invalid_str_mv Acceso restringido
http://purl.org/coar/access_right/c_16ec
dc.publisher.spa.fl_str_mv Production and Operations Management Society (POMS)
dc.publisher.none.fl_str_mv Production and Operations Management Society (POMS)
publisher.none.fl_str_mv Production and Operations Management Society (POMS)
institution Universidad EAFIT
bitstream.url.fl_str_mv https://repository.eafit.edu.co/bitstreams/67272954-ac60-45a9-a2bb-a311df0b2f79/download
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repository.name.fl_str_mv Repositorio Institucional Universidad EAFIT
repository.mail.fl_str_mv repositorio@eafit.edu.co
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