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
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/156312
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/156312
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling 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 Técnicas2025-09-29T10:07:16Zoai: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:34982025-09-29 10:07:16.522CONICET 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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score 13.070432

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