INDUSTRIAL INSIGHTS INTO LOT SIZING AND SCHEDULING MODELING

Detalhes bibliográficos
Autor(a) principal: Almada-Lobo,Bernardo
Data de Publicação: 2015
Outros Autores: Clark,Alistair, Guimarães,Luís, Figueira,Gonçalo, Amorim,Pedro
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Pesquisa operacional (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382015000300439
Resumo: ABSTRACT Lot sizing and scheduling by mixed integer programming has been a hot research topic in the last 20 years. Researchers have been trying to develop stronger formulations, as well as to incorporate real-world requirements from different applications. This paper illustrates some of these requirements and demonstrates how small- and big-bucket models have been adapted and extended. Motivation comes from different industries, especially from process and fast-moving consumer goods industries.
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spelling INDUSTRIAL INSIGHTS INTO LOT SIZING AND SCHEDULING MODELINGlot sizing and schedulingmixed integer programmingindustrial applicationsreal-worldfeaturesABSTRACT Lot sizing and scheduling by mixed integer programming has been a hot research topic in the last 20 years. Researchers have been trying to develop stronger formulations, as well as to incorporate real-world requirements from different applications. This paper illustrates some of these requirements and demonstrates how small- and big-bucket models have been adapted and extended. Motivation comes from different industries, especially from process and fast-moving consumer goods industries.Sociedade Brasileira de Pesquisa Operacional2015-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382015000300439Pesquisa Operacional v.35 n.3 2015reponame:Pesquisa operacional (Online)instname:Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)instacron:SOBRAPO10.1590/0101-7438.2015.035.03.0439info:eu-repo/semantics/openAccessAlmada-Lobo,BernardoClark,AlistairGuimarães,LuísFigueira,GonçaloAmorim,Pedroeng2016-01-26T00:00:00Zoai:scielo:S0101-74382015000300439Revistahttp://www.scielo.br/popehttps://old.scielo.br/oai/scielo-oai.php||sobrapo@sobrapo.org.br1678-51420101-7438opendoar:2016-01-26T00:00Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)false
dc.title.none.fl_str_mv INDUSTRIAL INSIGHTS INTO LOT SIZING AND SCHEDULING MODELING
title INDUSTRIAL INSIGHTS INTO LOT SIZING AND SCHEDULING MODELING
spellingShingle INDUSTRIAL INSIGHTS INTO LOT SIZING AND SCHEDULING MODELING
Almada-Lobo,Bernardo
lot sizing and scheduling
mixed integer programming
industrial applications
real-worldfeatures
title_short INDUSTRIAL INSIGHTS INTO LOT SIZING AND SCHEDULING MODELING
title_full INDUSTRIAL INSIGHTS INTO LOT SIZING AND SCHEDULING MODELING
title_fullStr INDUSTRIAL INSIGHTS INTO LOT SIZING AND SCHEDULING MODELING
title_full_unstemmed INDUSTRIAL INSIGHTS INTO LOT SIZING AND SCHEDULING MODELING
title_sort INDUSTRIAL INSIGHTS INTO LOT SIZING AND SCHEDULING MODELING
author Almada-Lobo,Bernardo
author_facet Almada-Lobo,Bernardo
Clark,Alistair
Guimarães,Luís
Figueira,Gonçalo
Amorim,Pedro
author_role author
author2 Clark,Alistair
Guimarães,Luís
Figueira,Gonçalo
Amorim,Pedro
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Almada-Lobo,Bernardo
Clark,Alistair
Guimarães,Luís
Figueira,Gonçalo
Amorim,Pedro
dc.subject.por.fl_str_mv lot sizing and scheduling
mixed integer programming
industrial applications
real-worldfeatures
topic lot sizing and scheduling
mixed integer programming
industrial applications
real-worldfeatures
description ABSTRACT Lot sizing and scheduling by mixed integer programming has been a hot research topic in the last 20 years. Researchers have been trying to develop stronger formulations, as well as to incorporate real-world requirements from different applications. This paper illustrates some of these requirements and demonstrates how small- and big-bucket models have been adapted and extended. Motivation comes from different industries, especially from process and fast-moving consumer goods industries.
publishDate 2015
dc.date.none.fl_str_mv 2015-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382015000300439
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382015000300439
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0101-7438.2015.035.03.0439
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Pesquisa Operacional
publisher.none.fl_str_mv Sociedade Brasileira de Pesquisa Operacional
dc.source.none.fl_str_mv Pesquisa Operacional v.35 n.3 2015
reponame:Pesquisa operacional (Online)
instname:Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
instacron:SOBRAPO
instname_str Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
instacron_str SOBRAPO
institution SOBRAPO
reponame_str Pesquisa operacional (Online)
collection Pesquisa operacional (Online)
repository.name.fl_str_mv Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
repository.mail.fl_str_mv ||sobrapo@sobrapo.org.br
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