The pallet loading problem: a review of solution methods and computational experiments

Detalhes bibliográficos
Autor(a) principal: Elsa Marília Silva
Data de Publicação: 2016
Outros Autores: José Fernando Oliveira, Wäscher,Gerhard
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/123456789/5691
http://dx.doi.org/10.1111/itor.12099
Resumo: The manufacturer's pallet loading problem (MPLP) has been widely studied during the past 50 years. It consists of placing a maximum number of identical rectangular boxes onto a single rectangular pallet. In this paper, we have reviewed the methods that have been proposed for the solution of this problem. Furthermore, the various problem instances and data sets are analyzed that have been used in computational experiments for the evaluation of these methods. The most challenging and yet unsolved methods are identified. By doing so, areas of future research concerning the MPLP can be highlighted. © 2015 The Authors.
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spelling The pallet loading problem: a review of solution methods and computational experimentsThe manufacturer's pallet loading problem (MPLP) has been widely studied during the past 50 years. It consists of placing a maximum number of identical rectangular boxes onto a single rectangular pallet. In this paper, we have reviewed the methods that have been proposed for the solution of this problem. Furthermore, the various problem instances and data sets are analyzed that have been used in computational experiments for the evaluation of these methods. The most challenging and yet unsolved methods are identified. By doing so, areas of future research concerning the MPLP can be highlighted. © 2015 The Authors.2018-01-08T09:37:58Z2016-01-01T00:00:00Z2016info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://repositorio.inesctec.pt/handle/123456789/5691http://dx.doi.org/10.1111/itor.12099engElsa Marília SilvaJosé Fernando OliveiraWäscher,Gerhardinfo: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:RCAAP2023-05-15T10:20:51Zoai:repositorio.inesctec.pt:123456789/5691Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:53:42.577470Repositório 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 The pallet loading problem: a review of solution methods and computational experiments
title The pallet loading problem: a review of solution methods and computational experiments
spellingShingle The pallet loading problem: a review of solution methods and computational experiments
Elsa Marília Silva
title_short The pallet loading problem: a review of solution methods and computational experiments
title_full The pallet loading problem: a review of solution methods and computational experiments
title_fullStr The pallet loading problem: a review of solution methods and computational experiments
title_full_unstemmed The pallet loading problem: a review of solution methods and computational experiments
title_sort The pallet loading problem: a review of solution methods and computational experiments
author Elsa Marília Silva
author_facet Elsa Marília Silva
José Fernando Oliveira
Wäscher,Gerhard
author_role author
author2 José Fernando Oliveira
Wäscher,Gerhard
author2_role author
author
dc.contributor.author.fl_str_mv Elsa Marília Silva
José Fernando Oliveira
Wäscher,Gerhard
description The manufacturer's pallet loading problem (MPLP) has been widely studied during the past 50 years. It consists of placing a maximum number of identical rectangular boxes onto a single rectangular pallet. In this paper, we have reviewed the methods that have been proposed for the solution of this problem. Furthermore, the various problem instances and data sets are analyzed that have been used in computational experiments for the evaluation of these methods. The most challenging and yet unsolved methods are identified. By doing so, areas of future research concerning the MPLP can be highlighted. © 2015 The Authors.
publishDate 2016
dc.date.none.fl_str_mv 2016-01-01T00:00:00Z
2016
2018-01-08T09:37:58Z
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dc.identifier.uri.fl_str_mv http://repositorio.inesctec.pt/handle/123456789/5691
http://dx.doi.org/10.1111/itor.12099
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http://dx.doi.org/10.1111/itor.12099
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