Applying MILP-based algorithms to automated job-shop scheduling problems in aircraft-part manufacturing

Autores
Aguirre, A.M.; Méndez, C.A.; García Sánchez, A.; Ortega Mier, M.
Año de publicación
2013
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
This work presents efficient algorithms based on Mixed-Integer Linear Programming (MILP) for complex job-shop scheduling problems raised in Automated Manufacturing Systems. The aim of this work is to find alternative solution approaches of production and transportation operations in a multi-product multistage production process that can be used to solve industrial-scale problems with reasonable computational effort. The MILP model developed must take into account; dissimilar recipes, single unit per production stage, re-entrant flows, sequence- dependent free transferring times and load transfer movements in a single automated material-handling device. In addition, logical-based strategies are proposed to iteratively find and improve the solutions generated over time. These approaches were tested in different real-world problems appeared in the surfacetreatment process of metal components in aircraft manufacturing industry.
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
MILP-based algorithm
Automated Manufacturing Systems
Job-shop Scheduling problems
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/94312
Acceder
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network_name_str SEDICI (UNLP)
spelling Applying MILP-based algorithms to automated job-shop scheduling problems in aircraft-part manufacturingAguirre, A.M.Méndez, C.A.García Sánchez, A.Ortega Mier, M.Ciencias InformáticasMILP-based algorithmAutomated Manufacturing SystemsJob-shop Scheduling problemsThis work presents efficient algorithms based on Mixed-Integer Linear Programming (MILP) for complex job-shop scheduling problems raised in Automated Manufacturing Systems. The aim of this work is to find alternative solution approaches of production and transportation operations in a multi-product multistage production process that can be used to solve industrial-scale problems with reasonable computational effort. The MILP model developed must take into account; dissimilar recipes, single unit per production stage, re-entrant flows, sequence- dependent free transferring times and load transfer movements in a single automated material-handling device. In addition, logical-based strategies are proposed to iteratively find and improve the solutions generated over time. These approaches were tested in different real-world problems appeared in the surfacetreatment process of metal components in aircraft manufacturing industry.Sociedad Argentina de Informática e Investigación Operativa2013-09info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf1-12http://sedici.unlp.edu.ar/handle/10915/94312enginfo:eu-repo/semantics/altIdentifier/issn/2313-9102info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-03T10:51:53Zoai:sedici.unlp.edu.ar:10915/94312Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 10:51:54.062SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Applying MILP-based algorithms to automated job-shop scheduling problems in aircraft-part manufacturing
title Applying MILP-based algorithms to automated job-shop scheduling problems in aircraft-part manufacturing
spellingShingle Applying MILP-based algorithms to automated job-shop scheduling problems in aircraft-part manufacturing
Aguirre, A.M.
Ciencias Informáticas
MILP-based algorithm
Automated Manufacturing Systems
Job-shop Scheduling problems
title_short Applying MILP-based algorithms to automated job-shop scheduling problems in aircraft-part manufacturing
title_full Applying MILP-based algorithms to automated job-shop scheduling problems in aircraft-part manufacturing
title_fullStr Applying MILP-based algorithms to automated job-shop scheduling problems in aircraft-part manufacturing
title_full_unstemmed Applying MILP-based algorithms to automated job-shop scheduling problems in aircraft-part manufacturing
title_sort Applying MILP-based algorithms to automated job-shop scheduling problems in aircraft-part manufacturing
dc.creator.none.fl_str_mv Aguirre, A.M.
Méndez, C.A.
García Sánchez, A.
Ortega Mier, M.
author Aguirre, A.M.
author_facet Aguirre, A.M.
Méndez, C.A.
García Sánchez, A.
Ortega Mier, M.
author_role author
author2 Méndez, C.A.
García Sánchez, A.
Ortega Mier, M.
author2_role author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
MILP-based algorithm
Automated Manufacturing Systems
Job-shop Scheduling problems
topic Ciencias Informáticas
MILP-based algorithm
Automated Manufacturing Systems
Job-shop Scheduling problems
dc.description.none.fl_txt_mv This work presents efficient algorithms based on Mixed-Integer Linear Programming (MILP) for complex job-shop scheduling problems raised in Automated Manufacturing Systems. The aim of this work is to find alternative solution approaches of production and transportation operations in a multi-product multistage production process that can be used to solve industrial-scale problems with reasonable computational effort. The MILP model developed must take into account; dissimilar recipes, single unit per production stage, re-entrant flows, sequence- dependent free transferring times and load transfer movements in a single automated material-handling device. In addition, logical-based strategies are proposed to iteratively find and improve the solutions generated over time. These approaches were tested in different real-world problems appeared in the surfacetreatment process of metal components in aircraft manufacturing industry.
Sociedad Argentina de Informática e Investigación Operativa
description This work presents efficient algorithms based on Mixed-Integer Linear Programming (MILP) for complex job-shop scheduling problems raised in Automated Manufacturing Systems. The aim of this work is to find alternative solution approaches of production and transportation operations in a multi-product multistage production process that can be used to solve industrial-scale problems with reasonable computational effort. The MILP model developed must take into account; dissimilar recipes, single unit per production stage, re-entrant flows, sequence- dependent free transferring times and load transfer movements in a single automated material-handling device. In addition, logical-based strategies are proposed to iteratively find and improve the solutions generated over time. These approaches were tested in different real-world problems appeared in the surfacetreatment process of metal components in aircraft manufacturing industry.
publishDate 2013
dc.date.none.fl_str_mv 2013-09
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/94312
url http://sedici.unlp.edu.ar/handle/10915/94312
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/issn/2313-9102
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
1-12
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
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repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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