Complexity Constraint in the Distributor's Pallet Loading Problem

Detalhes bibliográficos
Autor(a) principal: Barros, Hugo
Data de Publicação: 2021
Outros Autores: Pereira, Maria Teresa, Ramos, António G., Ferreira, Fernanda A.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.22/19738
Resumo: This paper presents a study on the complexity of cargo arrangements in the pallet loading problem. Due to the diversity of perspectives that have been presented in the literature, complexity is one of the least studied practical constraints. In this work, we aim to refine and propose a new set of metrics to measure the complexity of an arrangement of cargo in a pallet. The parameters are validated using statistical methods, such as principal component analysis and multiple linear regression, using data retrieved from the company logistics. Our tests show that the number of boxes was the main variable responsible for explaining complexity in the pallet loading problem.
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spelling Complexity Constraint in the Distributor's Pallet Loading ProblemPallet loading problemComplexityPrincipal components analysisMultiple linear regressionThis paper presents a study on the complexity of cargo arrangements in the pallet loading problem. Due to the diversity of perspectives that have been presented in the literature, complexity is one of the least studied practical constraints. In this work, we aim to refine and propose a new set of metrics to measure the complexity of an arrangement of cargo in a pallet. The parameters are validated using statistical methods, such as principal component analysis and multiple linear regression, using data retrieved from the company logistics. Our tests show that the number of boxes was the main variable responsible for explaining complexity in the pallet loading problem.MDPIRepositório Científico do Instituto Politécnico do PortoBarros, HugoPereira, Maria TeresaRamos, António G.Ferreira, Fernanda A.2022-02-02T12:08:53Z2021-07-232022-02-01T16:04:21Z2021-07-23T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/19738eng2227-7390cv-prod-269263710.3390/math9151742info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-13T13:14:36Zoai:recipp.ipp.pt:10400.22/19738Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:39:48.446974Repositório 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 Complexity Constraint in the Distributor's Pallet Loading Problem
title Complexity Constraint in the Distributor's Pallet Loading Problem
spellingShingle Complexity Constraint in the Distributor's Pallet Loading Problem
Barros, Hugo
Pallet loading problem
Complexity
Principal components analysis
Multiple linear regression
title_short Complexity Constraint in the Distributor's Pallet Loading Problem
title_full Complexity Constraint in the Distributor's Pallet Loading Problem
title_fullStr Complexity Constraint in the Distributor's Pallet Loading Problem
title_full_unstemmed Complexity Constraint in the Distributor's Pallet Loading Problem
title_sort Complexity Constraint in the Distributor's Pallet Loading Problem
author Barros, Hugo
author_facet Barros, Hugo
Pereira, Maria Teresa
Ramos, António G.
Ferreira, Fernanda A.
author_role author
author2 Pereira, Maria Teresa
Ramos, António G.
Ferreira, Fernanda A.
author2_role author
author
author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Politécnico do Porto
dc.contributor.author.fl_str_mv Barros, Hugo
Pereira, Maria Teresa
Ramos, António G.
Ferreira, Fernanda A.
dc.subject.por.fl_str_mv Pallet loading problem
Complexity
Principal components analysis
Multiple linear regression
topic Pallet loading problem
Complexity
Principal components analysis
Multiple linear regression
description This paper presents a study on the complexity of cargo arrangements in the pallet loading problem. Due to the diversity of perspectives that have been presented in the literature, complexity is one of the least studied practical constraints. In this work, we aim to refine and propose a new set of metrics to measure the complexity of an arrangement of cargo in a pallet. The parameters are validated using statistical methods, such as principal component analysis and multiple linear regression, using data retrieved from the company logistics. Our tests show that the number of boxes was the main variable responsible for explaining complexity in the pallet loading problem.
publishDate 2021
dc.date.none.fl_str_mv 2021-07-23
2021-07-23T00:00:00Z
2022-02-02T12:08:53Z
2022-02-01T16:04:21Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.22/19738
url http://hdl.handle.net/10400.22/19738
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2227-7390
cv-prod-2692637
10.3390/math9151742
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collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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