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

Autores
Aguirre, Adrian Marcelo; Mendez, Carlos Alberto; García Sanchez, Alvaro; Ortega Mier, Miguel
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This work presents efficient algorithms based on Mixed-Integer Linear Programming (MILP) and heuristic strategies for complex job-shop scheduling problems raised in Automated Manufacturing Systems. The aim of this work is to find alternative a solution approach of production and transportation operations in a multi-product multi-stage production system that can be used to solve industrial-scale problems with a reasonable computational effort. The MILP model developed must take into account; heterogeneous recipes, single unit per stage, possible recycle flows, sequence-dependent free transferring times and load transfer movements in a single automated material-handling device. In addition, heuristic-based strategies are proposed to iteratively find and improve the solutions generated over time. These approaches were tested in different real-world problems arising in the surface-treatment process of metal components in the aircraft manufacturing industry.
Fil: Aguirre, Adrian Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico Para la Industria Química (i); Argentina. Universidad Nacional del Nordeste; Argentina
Fil: Mendez, Carlos Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico Para la Industria Química (i); Argentina. Universidad Nacional del Nordeste; Argentina
Fil: García Sanchez, Alvaro. Universidad Politecnica de Madrid; España
Fil: Ortega Mier, Miguel. Universidad Politecnica de Madrid; España
Materia
MILP-based algorithm.
Automated Manufacturing Systems
Job-shop Scheduling problems
Real-world applications in aircraft-part fabrication process
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/8565
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Applying MILP/Heuristic algorithms to automated job-shop scheduling problems in aircraft-part manufacturingAguirre, Adrian MarceloMendez, Carlos AlbertoGarcía Sanchez, AlvaroOrtega Mier, MiguelMILP-based algorithm.Automated Manufacturing SystemsJob-shop Scheduling problemsReal-world applications in aircraft-part fabrication processhttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2This work presents efficient algorithms based on Mixed-Integer Linear Programming (MILP) and heuristic strategies for complex job-shop scheduling problems raised in Automated Manufacturing Systems. The aim of this work is to find alternative a solution approach of production and transportation operations in a multi-product multi-stage production system that can be used to solve industrial-scale problems with a reasonable computational effort. The MILP model developed must take into account; heterogeneous recipes, single unit per stage, possible recycle flows, sequence-dependent free transferring times and load transfer movements in a single automated material-handling device. In addition, heuristic-based strategies are proposed to iteratively find and improve the solutions generated over time. These approaches were tested in different real-world problems arising in the surface-treatment process of metal components in the aircraft manufacturing industry.Fil: Aguirre, Adrian Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico Para la Industria Química (i); Argentina. Universidad Nacional del Nordeste; ArgentinaFil: Mendez, Carlos Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico Para la Industria Química (i); Argentina. Universidad Nacional del Nordeste; ArgentinaFil: García Sanchez, Alvaro. Universidad Politecnica de Madrid; EspañaFil: Ortega Mier, Miguel. Universidad Politecnica de Madrid; EspañaUniversidad Nacional de Santa Catarina2013-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/8565Aguirre, Adrian Marcelo; Mendez, Carlos Alberto; García Sanchez, Alvaro; Ortega Mier, Miguel; Applying MILP/Heuristic algorithms to automated job-shop scheduling problems in aircraft-part manufacturing; Universidad Nacional de Santa Catarina; Iberoamerican Journal of Industrial Engineering; 5; 10; 12-2013; 26-412175-8018enginfo:eu-repo/semantics/altIdentifier/url/http://incubadora.periodicos.ufsc.br/index.php/IJIE/article/view/3043info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:27:20Zoai:ri.conicet.gov.ar:11336/8565instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:27:20.983CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Applying MILP/Heuristic algorithms to automated job-shop scheduling problems in aircraft-part manufacturing
title Applying MILP/Heuristic algorithms to automated job-shop scheduling problems in aircraft-part manufacturing
spellingShingle Applying MILP/Heuristic algorithms to automated job-shop scheduling problems in aircraft-part manufacturing
Aguirre, Adrian Marcelo
MILP-based algorithm.
Automated Manufacturing Systems
Job-shop Scheduling problems
Real-world applications in aircraft-part fabrication process
title_short Applying MILP/Heuristic algorithms to automated job-shop scheduling problems in aircraft-part manufacturing
title_full Applying MILP/Heuristic algorithms to automated job-shop scheduling problems in aircraft-part manufacturing
title_fullStr Applying MILP/Heuristic algorithms to automated job-shop scheduling problems in aircraft-part manufacturing
title_full_unstemmed Applying MILP/Heuristic algorithms to automated job-shop scheduling problems in aircraft-part manufacturing
title_sort Applying MILP/Heuristic algorithms to automated job-shop scheduling problems in aircraft-part manufacturing
dc.creator.none.fl_str_mv Aguirre, Adrian Marcelo
Mendez, Carlos Alberto
García Sanchez, Alvaro
Ortega Mier, Miguel
author Aguirre, Adrian Marcelo
author_facet Aguirre, Adrian Marcelo
Mendez, Carlos Alberto
García Sanchez, Alvaro
Ortega Mier, Miguel
author_role author
author2 Mendez, Carlos Alberto
García Sanchez, Alvaro
Ortega Mier, Miguel
author2_role author
author
author
dc.subject.none.fl_str_mv MILP-based algorithm.
Automated Manufacturing Systems
Job-shop Scheduling problems
Real-world applications in aircraft-part fabrication process
topic MILP-based algorithm.
Automated Manufacturing Systems
Job-shop Scheduling problems
Real-world applications in aircraft-part fabrication process
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv This work presents efficient algorithms based on Mixed-Integer Linear Programming (MILP) and heuristic strategies for complex job-shop scheduling problems raised in Automated Manufacturing Systems. The aim of this work is to find alternative a solution approach of production and transportation operations in a multi-product multi-stage production system that can be used to solve industrial-scale problems with a reasonable computational effort. The MILP model developed must take into account; heterogeneous recipes, single unit per stage, possible recycle flows, sequence-dependent free transferring times and load transfer movements in a single automated material-handling device. In addition, heuristic-based strategies are proposed to iteratively find and improve the solutions generated over time. These approaches were tested in different real-world problems arising in the surface-treatment process of metal components in the aircraft manufacturing industry.
Fil: Aguirre, Adrian Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico Para la Industria Química (i); Argentina. Universidad Nacional del Nordeste; Argentina
Fil: Mendez, Carlos Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico Para la Industria Química (i); Argentina. Universidad Nacional del Nordeste; Argentina
Fil: García Sanchez, Alvaro. Universidad Politecnica de Madrid; España
Fil: Ortega Mier, Miguel. Universidad Politecnica de Madrid; España
description This work presents efficient algorithms based on Mixed-Integer Linear Programming (MILP) and heuristic strategies for complex job-shop scheduling problems raised in Automated Manufacturing Systems. The aim of this work is to find alternative a solution approach of production and transportation operations in a multi-product multi-stage production system that can be used to solve industrial-scale problems with a reasonable computational effort. The MILP model developed must take into account; heterogeneous recipes, single unit per stage, possible recycle flows, sequence-dependent free transferring times and load transfer movements in a single automated material-handling device. In addition, heuristic-based strategies are proposed to iteratively find and improve the solutions generated over time. These approaches were tested in different real-world problems arising in the surface-treatment process of metal components in the aircraft manufacturing industry.
publishDate 2013
dc.date.none.fl_str_mv 2013-12
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/8565
Aguirre, Adrian Marcelo; Mendez, Carlos Alberto; García Sanchez, Alvaro; Ortega Mier, Miguel; Applying MILP/Heuristic algorithms to automated job-shop scheduling problems in aircraft-part manufacturing; Universidad Nacional de Santa Catarina; Iberoamerican Journal of Industrial Engineering; 5; 10; 12-2013; 26-41
2175-8018
url http://hdl.handle.net/11336/8565
identifier_str_mv Aguirre, Adrian Marcelo; Mendez, Carlos Alberto; García Sanchez, Alvaro; Ortega Mier, Miguel; Applying MILP/Heuristic algorithms to automated job-shop scheduling problems in aircraft-part manufacturing; Universidad Nacional de Santa Catarina; Iberoamerican Journal of Industrial Engineering; 5; 10; 12-2013; 26-41
2175-8018
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://incubadora.periodicos.ufsc.br/index.php/IJIE/article/view/3043
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Universidad Nacional de Santa Catarina
publisher.none.fl_str_mv Universidad Nacional de Santa Catarina
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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