Incorporating batching decisions and operational constraints into the scheduling problem of multisite manufacturing environments
- Autores
- Ackermann, Sergio Alfredo; Fumero, Yanina; Montagna, Jorge Marcelo
- Año de publicación
- 2021
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- In multisite production environments, the appropriate management of production resources is an activity of fundamental relevance to optimally respond to market demands. In particular, each production facility can operate with different policies according to its objectives, prioritizing the quality and standardization of the product, customer service, or the overall efficiency of the system; goals which must be taken into account when planning the production of the entire complex. At the operational level, in order to achieve an efficient operation of the production system, the integrated problem of batching and scheduling must be solved over all facilities, instead of doing it for each plant separately, as has been usual so far. Then, this paper proposes a mixed-integer linear programming model for the multisite batching and scheduling problems, where different operational policies are considered for multiple batch plants. Through two examples, the impact of policies on the decision-making process is shown.
Fil: Ackermann, Sergio Alfredo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
Fil: Fumero, Yanina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
Fil: Montagna, Jorge Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina - Materia
-
MULTISITE BATCH FACILITIES
BATCHING
SCHEDULING
OPERATIONAL POLICIES
MILP MODEL - 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:11336/156312
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Incorporating batching decisions and operational constraints into the scheduling problem of multisite manufacturing environmentsAckermann, Sergio AlfredoFumero, YaninaMontagna, Jorge MarceloMULTISITE BATCH FACILITIESBATCHINGSCHEDULINGOPERATIONAL POLICIESMILP MODELhttps://purl.org/becyt/ford/2.11https://purl.org/becyt/ford/2In multisite production environments, the appropriate management of production resources is an activity of fundamental relevance to optimally respond to market demands. In particular, each production facility can operate with different policies according to its objectives, prioritizing the quality and standardization of the product, customer service, or the overall efficiency of the system; goals which must be taken into account when planning the production of the entire complex. At the operational level, in order to achieve an efficient operation of the production system, the integrated problem of batching and scheduling must be solved over all facilities, instead of doing it for each plant separately, as has been usual so far. Then, this paper proposes a mixed-integer linear programming model for the multisite batching and scheduling problems, where different operational policies are considered for multiple batch plants. Through two examples, the impact of policies on the decision-making process is shown.Fil: Ackermann, Sergio Alfredo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; ArgentinaFil: Fumero, Yanina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; ArgentinaFil: Montagna, Jorge Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; ArgentinaGrowing Science2021-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/156312Ackermann, Sergio Alfredo; Fumero, Yanina; Montagna, Jorge Marcelo; Incorporating batching decisions and operational constraints into the scheduling problem of multisite manufacturing environments; Growing Science; International Journal of Industrial Engineering Computations; 12; 1-2021; 345-3641923-29261923-2934CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.5267/j.ijiec.2021.1.002info:eu-repo/semantics/altIdentifier/url/http://growingscience.com/beta/ijiec/4777-incorporating-batching-decisions-and-operational-constraints-into-the-scheduling-problem-of-multisite-manufacturing-environments.htmlinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:58:49Zoai:ri.conicet.gov.ar:11336/156312instacron: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 09:58:49.532CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Incorporating batching decisions and operational constraints into the scheduling problem of multisite manufacturing environments |
title |
Incorporating batching decisions and operational constraints into the scheduling problem of multisite manufacturing environments |
spellingShingle |
Incorporating batching decisions and operational constraints into the scheduling problem of multisite manufacturing environments Ackermann, Sergio Alfredo MULTISITE BATCH FACILITIES BATCHING SCHEDULING OPERATIONAL POLICIES MILP MODEL |
title_short |
Incorporating batching decisions and operational constraints into the scheduling problem of multisite manufacturing environments |
title_full |
Incorporating batching decisions and operational constraints into the scheduling problem of multisite manufacturing environments |
title_fullStr |
Incorporating batching decisions and operational constraints into the scheduling problem of multisite manufacturing environments |
title_full_unstemmed |
Incorporating batching decisions and operational constraints into the scheduling problem of multisite manufacturing environments |
title_sort |
Incorporating batching decisions and operational constraints into the scheduling problem of multisite manufacturing environments |
dc.creator.none.fl_str_mv |
Ackermann, Sergio Alfredo Fumero, Yanina Montagna, Jorge Marcelo |
author |
Ackermann, Sergio Alfredo |
author_facet |
Ackermann, Sergio Alfredo Fumero, Yanina Montagna, Jorge Marcelo |
author_role |
author |
author2 |
Fumero, Yanina Montagna, Jorge Marcelo |
author2_role |
author author |
dc.subject.none.fl_str_mv |
MULTISITE BATCH FACILITIES BATCHING SCHEDULING OPERATIONAL POLICIES MILP MODEL |
topic |
MULTISITE BATCH FACILITIES BATCHING SCHEDULING OPERATIONAL POLICIES MILP MODEL |
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 multisite production environments, the appropriate management of production resources is an activity of fundamental relevance to optimally respond to market demands. In particular, each production facility can operate with different policies according to its objectives, prioritizing the quality and standardization of the product, customer service, or the overall efficiency of the system; goals which must be taken into account when planning the production of the entire complex. At the operational level, in order to achieve an efficient operation of the production system, the integrated problem of batching and scheduling must be solved over all facilities, instead of doing it for each plant separately, as has been usual so far. Then, this paper proposes a mixed-integer linear programming model for the multisite batching and scheduling problems, where different operational policies are considered for multiple batch plants. Through two examples, the impact of policies on the decision-making process is shown. Fil: Ackermann, Sergio Alfredo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina Fil: Fumero, Yanina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina Fil: Montagna, Jorge Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina |
description |
In multisite production environments, the appropriate management of production resources is an activity of fundamental relevance to optimally respond to market demands. In particular, each production facility can operate with different policies according to its objectives, prioritizing the quality and standardization of the product, customer service, or the overall efficiency of the system; goals which must be taken into account when planning the production of the entire complex. At the operational level, in order to achieve an efficient operation of the production system, the integrated problem of batching and scheduling must be solved over all facilities, instead of doing it for each plant separately, as has been usual so far. Then, this paper proposes a mixed-integer linear programming model for the multisite batching and scheduling problems, where different operational policies are considered for multiple batch plants. Through two examples, the impact of policies on the decision-making process is shown. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-01 |
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/11336/156312 Ackermann, Sergio Alfredo; Fumero, Yanina; Montagna, Jorge Marcelo; Incorporating batching decisions and operational constraints into the scheduling problem of multisite manufacturing environments; Growing Science; International Journal of Industrial Engineering Computations; 12; 1-2021; 345-364 1923-2926 1923-2934 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/156312 |
identifier_str_mv |
Ackermann, Sergio Alfredo; Fumero, Yanina; Montagna, Jorge Marcelo; Incorporating batching decisions and operational constraints into the scheduling problem of multisite manufacturing environments; Growing Science; International Journal of Industrial Engineering Computations; 12; 1-2021; 345-364 1923-2926 1923-2934 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.5267/j.ijiec.2021.1.002 info:eu-repo/semantics/altIdentifier/url/http://growingscience.com/beta/ijiec/4777-incorporating-batching-decisions-and-operational-constraints-into-the-scheduling-problem-of-multisite-manufacturing-environments.html |
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 |
Growing Science |
publisher.none.fl_str_mv |
Growing Science |
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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1842269544656142336 |
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13.13397 |