Industrial insights into lot sizing and schedulingmodeling

Detalhes bibliográficos
Autor(a) principal: Bernardo Almada-Lobo
Data de Publicação: 2015
Outros Autores: Clark,A, Luís Guimarães, Gonçalo Reis Figueira, Pedro Amorim
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://repositorio.inesctec.pt/handle/123456789/5686
http://dx.doi.org/10.1590/0101-7438.2015.035.03.0439
Resumo: Lot sizing and scheduling by mixed integer programming has been a hot research topic inthe last 20 years. Researchers have been trying to develop stronger formulations, as well as to incorporatereal-world requirements from different applications. This paper illustrates some of these requirements anddemonstrates how small- and big-bucket models have been adapted and extended. Motivation comes fromdifferent industries, especially from process and fast-moving consumer goods industries. © 2015 Brazilian Operations Research Society.
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spelling Industrial insights into lot sizing and schedulingmodelingLot sizing and scheduling by mixed integer programming has been a hot research topic inthe last 20 years. Researchers have been trying to develop stronger formulations, as well as to incorporatereal-world requirements from different applications. This paper illustrates some of these requirements anddemonstrates how small- and big-bucket models have been adapted and extended. Motivation comes fromdifferent industries, especially from process and fast-moving consumer goods industries. © 2015 Brazilian Operations Research Society.2018-01-08T09:13:49Z2015-01-01T00:00:00Z2015info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://repositorio.inesctec.pt/handle/123456789/5686http://dx.doi.org/10.1590/0101-7438.2015.035.03.0439engBernardo Almada-LoboClark,ALuís GuimarãesGonçalo Reis FigueiraPedro Amoriminfo:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-05-15T10:19:40Zoai:repositorio.inesctec.pt:123456789/5686Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:52:04.384167Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Industrial insights into lot sizing and schedulingmodeling
title Industrial insights into lot sizing and schedulingmodeling
spellingShingle Industrial insights into lot sizing and schedulingmodeling
Bernardo Almada-Lobo
title_short Industrial insights into lot sizing and schedulingmodeling
title_full Industrial insights into lot sizing and schedulingmodeling
title_fullStr Industrial insights into lot sizing and schedulingmodeling
title_full_unstemmed Industrial insights into lot sizing and schedulingmodeling
title_sort Industrial insights into lot sizing and schedulingmodeling
author Bernardo Almada-Lobo
author_facet Bernardo Almada-Lobo
Clark,A
Luís Guimarães
Gonçalo Reis Figueira
Pedro Amorim
author_role author
author2 Clark,A
Luís Guimarães
Gonçalo Reis Figueira
Pedro Amorim
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Bernardo Almada-Lobo
Clark,A
Luís Guimarães
Gonçalo Reis Figueira
Pedro Amorim
description Lot sizing and scheduling by mixed integer programming has been a hot research topic inthe last 20 years. Researchers have been trying to develop stronger formulations, as well as to incorporatereal-world requirements from different applications. This paper illustrates some of these requirements anddemonstrates how small- and big-bucket models have been adapted and extended. Motivation comes fromdifferent industries, especially from process and fast-moving consumer goods industries. © 2015 Brazilian Operations Research Society.
publishDate 2015
dc.date.none.fl_str_mv 2015-01-01T00:00:00Z
2015
2018-01-08T09:13:49Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://repositorio.inesctec.pt/handle/123456789/5686
http://dx.doi.org/10.1590/0101-7438.2015.035.03.0439
url http://repositorio.inesctec.pt/handle/123456789/5686
http://dx.doi.org/10.1590/0101-7438.2015.035.03.0439
dc.language.iso.fl_str_mv eng
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