A modified particle swarm optimisation algorithm to solve the part feeding problem at assembly lines

Detalhes bibliográficos
Autor(a) principal: Fathi,M
Data de Publicação: 2016
Outros Autores: Rodriguez,V, Dalila Fontes, Alvarez,MJ
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/123456789/5268
http://dx.doi.org/10.1080/00207543.2015.1090032
Resumo: The Assembly Line Part Feeding Problem (ALPFP) is a complex combinatorial optimisation problem concerned with the delivery of the required parts to the assembly workstations in the right quantities at the right time. Solving the ALPFP includes simultaneously solving two sub-problems, namely tour scheduling and tow-train loading. In this article, we first define the problem and formulate it as a multi-objective mixed-integer linear programming model. Then, we carry out a complexity analysis, proving the ALPFP to be NP-complete. A modified particle swarm optimisation (MPSO) algorithm incorporating mutation as part of the position updating scheme is subsequently proposed. The MPSO is capable of finding very good solutions with small time requirements. Computational results are reported, demonstrating the efficiency and effectiveness of the proposed MPSO.
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spelling A modified particle swarm optimisation algorithm to solve the part feeding problem at assembly linesThe Assembly Line Part Feeding Problem (ALPFP) is a complex combinatorial optimisation problem concerned with the delivery of the required parts to the assembly workstations in the right quantities at the right time. Solving the ALPFP includes simultaneously solving two sub-problems, namely tour scheduling and tow-train loading. In this article, we first define the problem and formulate it as a multi-objective mixed-integer linear programming model. Then, we carry out a complexity analysis, proving the ALPFP to be NP-complete. A modified particle swarm optimisation (MPSO) algorithm incorporating mutation as part of the position updating scheme is subsequently proposed. The MPSO is capable of finding very good solutions with small time requirements. Computational results are reported, demonstrating the efficiency and effectiveness of the proposed MPSO.2018-01-02T16:39:35Z2016-01-01T00:00:00Z2016info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://repositorio.inesctec.pt/handle/123456789/5268http://dx.doi.org/10.1080/00207543.2015.1090032engFathi,MRodriguez,VDalila FontesAlvarez,MJinfo: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:RCAAP2023-05-15T10:20:29Zoai:repositorio.inesctec.pt:123456789/5268Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:53:12.397799Repositório 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 A modified particle swarm optimisation algorithm to solve the part feeding problem at assembly lines
title A modified particle swarm optimisation algorithm to solve the part feeding problem at assembly lines
spellingShingle A modified particle swarm optimisation algorithm to solve the part feeding problem at assembly lines
Fathi,M
title_short A modified particle swarm optimisation algorithm to solve the part feeding problem at assembly lines
title_full A modified particle swarm optimisation algorithm to solve the part feeding problem at assembly lines
title_fullStr A modified particle swarm optimisation algorithm to solve the part feeding problem at assembly lines
title_full_unstemmed A modified particle swarm optimisation algorithm to solve the part feeding problem at assembly lines
title_sort A modified particle swarm optimisation algorithm to solve the part feeding problem at assembly lines
author Fathi,M
author_facet Fathi,M
Rodriguez,V
Dalila Fontes
Alvarez,MJ
author_role author
author2 Rodriguez,V
Dalila Fontes
Alvarez,MJ
author2_role author
author
author
dc.contributor.author.fl_str_mv Fathi,M
Rodriguez,V
Dalila Fontes
Alvarez,MJ
description The Assembly Line Part Feeding Problem (ALPFP) is a complex combinatorial optimisation problem concerned with the delivery of the required parts to the assembly workstations in the right quantities at the right time. Solving the ALPFP includes simultaneously solving two sub-problems, namely tour scheduling and tow-train loading. In this article, we first define the problem and formulate it as a multi-objective mixed-integer linear programming model. Then, we carry out a complexity analysis, proving the ALPFP to be NP-complete. A modified particle swarm optimisation (MPSO) algorithm incorporating mutation as part of the position updating scheme is subsequently proposed. The MPSO is capable of finding very good solutions with small time requirements. Computational results are reported, demonstrating the efficiency and effectiveness of the proposed MPSO.
publishDate 2016
dc.date.none.fl_str_mv 2016-01-01T00:00:00Z
2016
2018-01-02T16:39:35Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://repositorio.inesctec.pt/handle/123456789/5268
http://dx.doi.org/10.1080/00207543.2015.1090032
url http://repositorio.inesctec.pt/handle/123456789/5268
http://dx.doi.org/10.1080/00207543.2015.1090032
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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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