General framework for automated manufacturing systems: multiple hoists scheduling solution

Autores
Aguirre, Alejo; Mendez, Carlos Alberto; García Sanchez, Alvaro; Ortega Mier, Miguel; Castro, Pedro
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This work presents a generic MILP-based framework for the scheduling of Hoist transportation devices in a complex Automated Manufacturing System. The main contribution of this approach relies on the possibility to tackle multiple hoists in a multiproduct multistage batch process under different production schemes considering: heterogeneous production recipes, multiple units per production stage, possible recycle flows, sequence-dependent transfers and flexible processing times. The effectiveness of this approach was tested in a real industrial application example which was solved with acceptable computational effort.
Fil: Aguirre, Alejo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico Para la Industria Química (i); 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
Fil: García Sanchez, Alvaro. Universidad Politecnica de Madrid; España
Fil: Ortega Mier, Miguel. Universidad Politecnica de Madrid; España
Fil: Castro, Pedro. UMOSE; Portugal
Materia
Hoist Scheduling
Milp Approach
Optimization
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:11336/8573
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/8573
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling General framework for automated manufacturing systems: multiple hoists scheduling solutionAguirre, AlejoMendez, Carlos AlbertoGarcía Sanchez, AlvaroOrtega Mier, MiguelCastro, PedroHoist SchedulingMilp ApproachOptimizationhttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2This work presents a generic MILP-based framework for the scheduling of Hoist transportation devices in a complex Automated Manufacturing System. The main contribution of this approach relies on the possibility to tackle multiple hoists in a multiproduct multistage batch process under different production schemes considering: heterogeneous production recipes, multiple units per production stage, possible recycle flows, sequence-dependent transfers and flexible processing times. The effectiveness of this approach was tested in a real industrial application example which was solved with acceptable computational effort.Fil: Aguirre, Alejo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico Para la Industria Química (i); 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); ArgentinaFil: García Sanchez, Alvaro. Universidad Politecnica de Madrid; EspañaFil: Ortega Mier, Miguel. Universidad Politecnica de Madrid; EspañaFil: Castro, Pedro. UMOSE; PortugalThe Italian Association of Chemical Engineering2013-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/8573Aguirre, Alejo; Mendez, Carlos Alberto; García Sanchez, Alvaro; Ortega Mier, Miguel; Castro, Pedro; General framework for automated manufacturing systems: multiple hoists scheduling solution; The Italian Association of Chemical Engineering; Chemical Engineering Transactions; 32; 6-2013; 1381-13871974-9791enginfo:eu-repo/semantics/altIdentifier/doi/10.3303/CET1332231info:eu-repo/semantics/altIdentifier/url/http://www.aidic.it/cet/13/32/231.pdfinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:48:36Zoai:ri.conicet.gov.ar:11336/8573instacron: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 09:48:37.236CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv General framework for automated manufacturing systems: multiple hoists scheduling solution
title General framework for automated manufacturing systems: multiple hoists scheduling solution
spellingShingle General framework for automated manufacturing systems: multiple hoists scheduling solution
Aguirre, Alejo
Hoist Scheduling
Milp Approach
Optimization
title_short General framework for automated manufacturing systems: multiple hoists scheduling solution
title_full General framework for automated manufacturing systems: multiple hoists scheduling solution
title_fullStr General framework for automated manufacturing systems: multiple hoists scheduling solution
title_full_unstemmed General framework for automated manufacturing systems: multiple hoists scheduling solution
title_sort General framework for automated manufacturing systems: multiple hoists scheduling solution
dc.creator.none.fl_str_mv Aguirre, Alejo
Mendez, Carlos Alberto
García Sanchez, Alvaro
Ortega Mier, Miguel
Castro, Pedro
author Aguirre, Alejo
author_facet Aguirre, Alejo
Mendez, Carlos Alberto
García Sanchez, Alvaro
Ortega Mier, Miguel
Castro, Pedro
author_role author
author2 Mendez, Carlos Alberto
García Sanchez, Alvaro
Ortega Mier, Miguel
Castro, Pedro
author2_role author
author
author
author
dc.subject.none.fl_str_mv Hoist Scheduling
Milp Approach
Optimization
topic Hoist Scheduling
Milp Approach
Optimization
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 a generic MILP-based framework for the scheduling of Hoist transportation devices in a complex Automated Manufacturing System. The main contribution of this approach relies on the possibility to tackle multiple hoists in a multiproduct multistage batch process under different production schemes considering: heterogeneous production recipes, multiple units per production stage, possible recycle flows, sequence-dependent transfers and flexible processing times. The effectiveness of this approach was tested in a real industrial application example which was solved with acceptable computational effort.
Fil: Aguirre, Alejo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico Para la Industria Química (i); 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
Fil: García Sanchez, Alvaro. Universidad Politecnica de Madrid; España
Fil: Ortega Mier, Miguel. Universidad Politecnica de Madrid; España
Fil: Castro, Pedro. UMOSE; Portugal
description This work presents a generic MILP-based framework for the scheduling of Hoist transportation devices in a complex Automated Manufacturing System. The main contribution of this approach relies on the possibility to tackle multiple hoists in a multiproduct multistage batch process under different production schemes considering: heterogeneous production recipes, multiple units per production stage, possible recycle flows, sequence-dependent transfers and flexible processing times. The effectiveness of this approach was tested in a real industrial application example which was solved with acceptable computational effort.
publishDate 2013
dc.date.none.fl_str_mv 2013-06
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/11336/8573
Aguirre, Alejo; Mendez, Carlos Alberto; García Sanchez, Alvaro; Ortega Mier, Miguel; Castro, Pedro; General framework for automated manufacturing systems: multiple hoists scheduling solution; The Italian Association of Chemical Engineering; Chemical Engineering Transactions; 32; 6-2013; 1381-1387
1974-9791
url http://hdl.handle.net/11336/8573
identifier_str_mv Aguirre, Alejo; Mendez, Carlos Alberto; García Sanchez, Alvaro; Ortega Mier, Miguel; Castro, Pedro; General framework for automated manufacturing systems: multiple hoists scheduling solution; The Italian Association of Chemical Engineering; Chemical Engineering Transactions; 32; 6-2013; 1381-1387
1974-9791
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.3303/CET1332231
info:eu-repo/semantics/altIdentifier/url/http://www.aidic.it/cet/13/32/231.pdf
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 The Italian Association of Chemical Engineering
publisher.none.fl_str_mv The Italian Association of Chemical Engineering
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
_version_ 1844613509598412800
score 13.069144

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