A mixed integer linear programming model for simultaneous design and scheduling of flowshop plants
- Autores
- Fumero, Yanina; Corsano, Gabriela; Montagna, Jorge Marcelo
- Año de publicación
- 2013
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Models representing batch plants, especially flowshop facilities where all the products require the same processing sequence, have received much attention in the last decades. In particular, plant design and production scheduling have been addressed as disconnected problems due to the tremendous combinatory complexity associated to their simultaneous optimization. This paper develops a model for both design and scheduling of flowshop batch plants considering mixed product campaign and parallel unit duplication. Thus, a realistic formulation is attained, where industrial and commercial aspects are jointly taken into account. The proposed approach is formulated as a Mixed Integer Linear Programming model that determines the number of units per stages, unit and batch sizes and batch sequencing in each unit in order to fulfill the demand requirements at minimum investment cost. A set of novel constraints is proposed where the number of batches of each product in the campaign is an optimization variable. The approach performance is evaluated through several numerical examples.
Fil: Fumero, Yanina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); Argentina
Fil: Corsano, Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); Argentina
Fil: Montagna, Jorge Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); Argentina - Materia
-
Flowshop Facilities
Batch Plant Design
Scheduling
Production Campaigns - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/6914
Ver los metadatos del registro completo
id |
CONICETDig_8d34f8f1175554c19328cadbc448bf63 |
---|---|
oai_identifier_str |
oai:ri.conicet.gov.ar:11336/6914 |
network_acronym_str |
CONICETDig |
repository_id_str |
3498 |
network_name_str |
CONICET Digital (CONICET) |
spelling |
A mixed integer linear programming model for simultaneous design and scheduling of flowshop plantsFumero, YaninaCorsano, GabrielaMontagna, Jorge MarceloFlowshop FacilitiesBatch Plant DesignSchedulingProduction Campaignshttps://purl.org/becyt/ford/1.1https://purl.org/becyt/ford/1Models representing batch plants, especially flowshop facilities where all the products require the same processing sequence, have received much attention in the last decades. In particular, plant design and production scheduling have been addressed as disconnected problems due to the tremendous combinatory complexity associated to their simultaneous optimization. This paper develops a model for both design and scheduling of flowshop batch plants considering mixed product campaign and parallel unit duplication. Thus, a realistic formulation is attained, where industrial and commercial aspects are jointly taken into account. The proposed approach is formulated as a Mixed Integer Linear Programming model that determines the number of units per stages, unit and batch sizes and batch sequencing in each unit in order to fulfill the demand requirements at minimum investment cost. A set of novel constraints is proposed where the number of batches of each product in the campaign is an optimization variable. The approach performance is evaluated through several numerical examples.Fil: Fumero, Yanina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); ArgentinaFil: Corsano, Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); ArgentinaFil: Montagna, Jorge Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); ArgentinaElsevier2013-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/6914Fumero, Yanina; Corsano, Gabriela; Montagna, Jorge Marcelo; A mixed integer linear programming model for simultaneous design and scheduling of flowshop plants; Elsevier; Applied Mathematical Modelling; 37; 4; 2-2013; 1652-16640307-904Xenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.apm.2012.04.043info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0307904X12002740info:eu-repo/semantics/altIdentifier/doi/info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:33:28Zoai:ri.conicet.gov.ar:11336/6914instacron: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 09:33:29.026CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
A mixed integer linear programming model for simultaneous design and scheduling of flowshop plants |
title |
A mixed integer linear programming model for simultaneous design and scheduling of flowshop plants |
spellingShingle |
A mixed integer linear programming model for simultaneous design and scheduling of flowshop plants Fumero, Yanina Flowshop Facilities Batch Plant Design Scheduling Production Campaigns |
title_short |
A mixed integer linear programming model for simultaneous design and scheduling of flowshop plants |
title_full |
A mixed integer linear programming model for simultaneous design and scheduling of flowshop plants |
title_fullStr |
A mixed integer linear programming model for simultaneous design and scheduling of flowshop plants |
title_full_unstemmed |
A mixed integer linear programming model for simultaneous design and scheduling of flowshop plants |
title_sort |
A mixed integer linear programming model for simultaneous design and scheduling of flowshop plants |
dc.creator.none.fl_str_mv |
Fumero, Yanina Corsano, Gabriela Montagna, Jorge Marcelo |
author |
Fumero, Yanina |
author_facet |
Fumero, Yanina Corsano, Gabriela Montagna, Jorge Marcelo |
author_role |
author |
author2 |
Corsano, Gabriela Montagna, Jorge Marcelo |
author2_role |
author author |
dc.subject.none.fl_str_mv |
Flowshop Facilities Batch Plant Design Scheduling Production Campaigns |
topic |
Flowshop Facilities Batch Plant Design Scheduling Production Campaigns |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.1 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
Models representing batch plants, especially flowshop facilities where all the products require the same processing sequence, have received much attention in the last decades. In particular, plant design and production scheduling have been addressed as disconnected problems due to the tremendous combinatory complexity associated to their simultaneous optimization. This paper develops a model for both design and scheduling of flowshop batch plants considering mixed product campaign and parallel unit duplication. Thus, a realistic formulation is attained, where industrial and commercial aspects are jointly taken into account. The proposed approach is formulated as a Mixed Integer Linear Programming model that determines the number of units per stages, unit and batch sizes and batch sequencing in each unit in order to fulfill the demand requirements at minimum investment cost. A set of novel constraints is proposed where the number of batches of each product in the campaign is an optimization variable. The approach performance is evaluated through several numerical examples. Fil: Fumero, Yanina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); Argentina Fil: Corsano, Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); Argentina Fil: Montagna, Jorge Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); Argentina |
description |
Models representing batch plants, especially flowshop facilities where all the products require the same processing sequence, have received much attention in the last decades. In particular, plant design and production scheduling have been addressed as disconnected problems due to the tremendous combinatory complexity associated to their simultaneous optimization. This paper develops a model for both design and scheduling of flowshop batch plants considering mixed product campaign and parallel unit duplication. Thus, a realistic formulation is attained, where industrial and commercial aspects are jointly taken into account. The proposed approach is formulated as a Mixed Integer Linear Programming model that determines the number of units per stages, unit and batch sizes and batch sequencing in each unit in order to fulfill the demand requirements at minimum investment cost. A set of novel constraints is proposed where the number of batches of each product in the campaign is an optimization variable. The approach performance is evaluated through several numerical examples. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-02 |
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/11336/6914 Fumero, Yanina; Corsano, Gabriela; Montagna, Jorge Marcelo; A mixed integer linear programming model for simultaneous design and scheduling of flowshop plants; Elsevier; Applied Mathematical Modelling; 37; 4; 2-2013; 1652-1664 0307-904X |
url |
http://hdl.handle.net/11336/6914 |
identifier_str_mv |
Fumero, Yanina; Corsano, Gabriela; Montagna, Jorge Marcelo; A mixed integer linear programming model for simultaneous design and scheduling of flowshop plants; Elsevier; Applied Mathematical Modelling; 37; 4; 2-2013; 1652-1664 0307-904X |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.apm.2012.04.043 info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0307904X12002740 info:eu-repo/semantics/altIdentifier/doi/ |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-nd/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
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_ |
1844613028671127552 |
score |
13.070432 |