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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/8565
Ver los metadatos del registro completo
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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 Técnicas2025-09-03T10:05:38Zoai: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:34982025-09-03 10:05:39.051CONICET 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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1842269920780353536 |
score |
13.13397 |