Lot streaming Permutation Flow shop with energy awareness

Autores
Florencia D'Amico; Rossit, Daniel Alejandro; Frutos, Mariano
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In this work, the flow shop scheduling problem with energy awareness is approached with lot-streaming strategies. Energy consumption is modeled within the objective function, together with the makespan, by means of a normalized and weighted sum. Thus, reducing energy consumption guides the optimization process. For lot streaming approaches mathematical models are provided and assessed. The results showed that lot-streaming is an efficient strategy to address this problem, allowing to improve both makespan and total energy consumption compared to the problem without lot-streaming. In turn, the selection of processing speeds for each sublot was incorporated, which improved the strategy yielding the best quality solutions.
Fil: Florencia D'Amico. Universidad Nacional del Sur. Departamento de Ingeniería; Argentina
Fil: Rossit, Daniel Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Matemática Bahía Blanca. Universidad Nacional del Sur. Departamento de Matemática. Instituto de Matemática Bahía Blanca; Argentina
Fil: Frutos, Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Económicas y Sociales del Sur. Universidad Nacional del Sur. Departamento de Economía. Instituto de Investigaciones Económicas y Sociales del Sur; Argentina
Materia
SCHEDULING
FLOW-SHOP
LOT-STREAMING
ENERGY CONSUMPTION
SUSTAINABILITY
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:11336/135714
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Lot streaming Permutation Flow shop with energy awarenessFlorencia D'AmicoRossit, Daniel AlejandroFrutos, MarianoSCHEDULINGFLOW-SHOPLOT-STREAMINGENERGY CONSUMPTIONSUSTAINABILITYhttps://purl.org/becyt/ford/2.11https://purl.org/becyt/ford/2In this work, the flow shop scheduling problem with energy awareness is approached with lot-streaming strategies. Energy consumption is modeled within the objective function, together with the makespan, by means of a normalized and weighted sum. Thus, reducing energy consumption guides the optimization process. For lot streaming approaches mathematical models are provided and assessed. The results showed that lot-streaming is an efficient strategy to address this problem, allowing to improve both makespan and total energy consumption compared to the problem without lot-streaming. In turn, the selection of processing speeds for each sublot was incorporated, which improved the strategy yielding the best quality solutions.Fil: Florencia D'Amico. Universidad Nacional del Sur. Departamento de Ingeniería; ArgentinaFil: Rossit, Daniel Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Matemática Bahía Blanca. Universidad Nacional del Sur. Departamento de Matemática. Instituto de Matemática Bahía Blanca; ArgentinaFil: Frutos, Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Económicas y Sociales del Sur. Universidad Nacional del Sur. Departamento de Economía. Instituto de Investigaciones Económicas y Sociales del Sur; ArgentinaUniversity of Novi Sad. Faculty of Technical Sciences. Department of Industrial Engineering and Management2021-02-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/135714Florencia D'Amico; Rossit, Daniel Alejandro; Frutos, Mariano; Lot streaming Permutation Flow shop with energy awareness; University of Novi Sad. Faculty of Technical Sciences. Department of Industrial Engineering and Management; International Journal of Industrial Engineering and Management; 12; 1; 3-2-2021; 25-362217-26612683-345XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://ijiemjournal.org/v12/v12-01-03.htmlinfo:eu-repo/semantics/altIdentifier/doi/10.24867/IJIEM-2021-1-274info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:02:48Zoai:ri.conicet.gov.ar:11336/135714instacron: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 10:02:48.968CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Lot streaming Permutation Flow shop with energy awareness
title Lot streaming Permutation Flow shop with energy awareness
spellingShingle Lot streaming Permutation Flow shop with energy awareness
Florencia D'Amico
SCHEDULING
FLOW-SHOP
LOT-STREAMING
ENERGY CONSUMPTION
SUSTAINABILITY
title_short Lot streaming Permutation Flow shop with energy awareness
title_full Lot streaming Permutation Flow shop with energy awareness
title_fullStr Lot streaming Permutation Flow shop with energy awareness
title_full_unstemmed Lot streaming Permutation Flow shop with energy awareness
title_sort Lot streaming Permutation Flow shop with energy awareness
dc.creator.none.fl_str_mv Florencia D'Amico
Rossit, Daniel Alejandro
Frutos, Mariano
author Florencia D'Amico
author_facet Florencia D'Amico
Rossit, Daniel Alejandro
Frutos, Mariano
author_role author
author2 Rossit, Daniel Alejandro
Frutos, Mariano
author2_role author
author
dc.subject.none.fl_str_mv SCHEDULING
FLOW-SHOP
LOT-STREAMING
ENERGY CONSUMPTION
SUSTAINABILITY
topic SCHEDULING
FLOW-SHOP
LOT-STREAMING
ENERGY CONSUMPTION
SUSTAINABILITY
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.11
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv In this work, the flow shop scheduling problem with energy awareness is approached with lot-streaming strategies. Energy consumption is modeled within the objective function, together with the makespan, by means of a normalized and weighted sum. Thus, reducing energy consumption guides the optimization process. For lot streaming approaches mathematical models are provided and assessed. The results showed that lot-streaming is an efficient strategy to address this problem, allowing to improve both makespan and total energy consumption compared to the problem without lot-streaming. In turn, the selection of processing speeds for each sublot was incorporated, which improved the strategy yielding the best quality solutions.
Fil: Florencia D'Amico. Universidad Nacional del Sur. Departamento de Ingeniería; Argentina
Fil: Rossit, Daniel Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Matemática Bahía Blanca. Universidad Nacional del Sur. Departamento de Matemática. Instituto de Matemática Bahía Blanca; Argentina
Fil: Frutos, Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Económicas y Sociales del Sur. Universidad Nacional del Sur. Departamento de Economía. Instituto de Investigaciones Económicas y Sociales del Sur; Argentina
description In this work, the flow shop scheduling problem with energy awareness is approached with lot-streaming strategies. Energy consumption is modeled within the objective function, together with the makespan, by means of a normalized and weighted sum. Thus, reducing energy consumption guides the optimization process. For lot streaming approaches mathematical models are provided and assessed. The results showed that lot-streaming is an efficient strategy to address this problem, allowing to improve both makespan and total energy consumption compared to the problem without lot-streaming. In turn, the selection of processing speeds for each sublot was incorporated, which improved the strategy yielding the best quality solutions.
publishDate 2021
dc.date.none.fl_str_mv 2021-02-03
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/11336/135714
Florencia D'Amico; Rossit, Daniel Alejandro; Frutos, Mariano; Lot streaming Permutation Flow shop with energy awareness; University of Novi Sad. Faculty of Technical Sciences. Department of Industrial Engineering and Management; International Journal of Industrial Engineering and Management; 12; 1; 3-2-2021; 25-36
2217-2661
2683-345X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/135714
identifier_str_mv Florencia D'Amico; Rossit, Daniel Alejandro; Frutos, Mariano; Lot streaming Permutation Flow shop with energy awareness; University of Novi Sad. Faculty of Technical Sciences. Department of Industrial Engineering and Management; International Journal of Industrial Engineering and Management; 12; 1; 3-2-2021; 25-36
2217-2661
2683-345X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://ijiemjournal.org/v12/v12-01-03.html
info:eu-repo/semantics/altIdentifier/doi/10.24867/IJIEM-2021-1-274
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
application/pdf
dc.publisher.none.fl_str_mv University of Novi Sad. Faculty of Technical Sciences. Department of Industrial Engineering and Management
publisher.none.fl_str_mv University of Novi Sad. Faculty of Technical Sciences. Department of Industrial Engineering and Management
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_ 1844613836328402944
score 13.070432

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