An MILP model for planning of batch plants operating in a campaign- mode

Autores
Fumero, Yanina; Corsano, Gabriela; Montagna, Jorge Marcelo
Año de publicación
2014
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión aceptada
Descripción
A mixed integer linear programming for the detailed production planning of multiproduct batch plants is proposed in this work. New timing decisions are incorporated to the model taking into account that an operation mode based in campaigns is adopted. For plants operating in a regular fashion along a time horizon, this operation mode assures a more efficient production management. In addition, sequencedependent changeover times and different unit sizes for parallel units in each stage are considered. Given the plant configuration and unit sizes, the total amount of each product to be produced and the product recipes, the proposed model determines the number of batches that compose the production campaign and their sizes, the assignment and sequencing of batches in each unit, and the timing of batches in each unit in order to minimize the campaign cycle time. The proposed model provides a useful tool for solving the optimal campaign planning of installed facilities.
Fil: CONICET – UTN; INGAR, Instituto de Desarrollo y Diseño; Argentina
Peer Reviewed
Materia
multiproduct batch plants
production campaign
planning
scheduling
MILP model
Nivel de accesibilidad
acceso abierto
Condiciones de uso
2018-09-10T13:09:36Z
Repositorio
Repositorio Institucional Abierto (UTN)
Institución
Universidad Tecnológica Nacional
OAI Identificador
oai:ria.utn.edu.ar:20.500.12272/3092
Acceder
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network_acronym_str RIAUTN
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network_name_str Repositorio Institucional Abierto (UTN)
spelling An MILP model for planning of batch plants operating in a campaign- modeFumero, YaninaCorsano, GabrielaMontagna, Jorge Marcelomultiproduct batch plantsproduction campaignplanningschedulingMILP modelA mixed integer linear programming for the detailed production planning of multiproduct batch plants is proposed in this work. New timing decisions are incorporated to the model taking into account that an operation mode based in campaigns is adopted. For plants operating in a regular fashion along a time horizon, this operation mode assures a more efficient production management. In addition, sequencedependent changeover times and different unit sizes for parallel units in each stage are considered. Given the plant configuration and unit sizes, the total amount of each product to be produced and the product recipes, the proposed model determines the number of batches that compose the production campaign and their sizes, the assignment and sequencing of batches in each unit, and the timing of batches in each unit in order to minimize the campaign cycle time. The proposed model provides a useful tool for solving the optimal campaign planning of installed facilities.Fil: CONICET – UTN; INGAR, Instituto de Desarrollo y Diseño; ArgentinaPeer Reviewed2018-09-10T13:09:36Z2018-09-10T13:09:36Z2014info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/acceptedVersiondocunento de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfapplication/pdfFumero, Y., Corsano, G. & Montagna, J.M. Ann Oper Res (2017) 258: 415. https://doi.org/10.1007/s10479-016-2301-60254-5330http://hdl.handle.net/20.500.12272/3092https://doi.org/10.1007/s10479-016-2301-6engengPID:25/O152: "Integración de sistemas soporte de decisión para la gestión óptima de la cadena de suministros utilizando sistemas empresariales"C. T. Maravelias. General framework and modeling approach classification for chemical production scheduling. AIChE Journal 2012, 58(6): 1812-1828, 2012.D. Birewar and I. E. Grossmann. Incorporating scheduling in the optimal design of multiproduct batch plants. Computers and Chemical Engineering, 13, 141-161, 1989V.T. Voudouris, I.E. Grossmann. Mixed-Integer Linear Programming Reformulations for Batch Process Design with Discrete Equipment Sizes. Ind. Eng. Chem. Res. 1992,31, 1315-1325Y. Fumero, G. Corsano, J. M. Montagna. Scheduling of multistage multiproduct batch plants operating in a campaign-mode. Industrial Engineering and Chemical Research, 5: 3988−4001, 2012.Y. Fumero, G. Corsano, J. M. Montagna. Detailed Design of Multiproduct Batch Plants Considering Prodction Scheduling. Industrial Engineering and Chemical Research, 50 (10), 6146-6160, 2011.info:eu-repo/semantics/openAccess2018-09-10T13:09:36Zhttp://creativecommons.org/publicdomain/zero/1.0/Autorizo la publicación de la obra, desde si aprobación/presentaciónCC0 1.0 Universalreponame:Repositorio Institucional Abierto (UTN)instname:Universidad Tecnológica Nacional2026-09-24T12:47:19Zoai:ria.utn.edu.ar:20.500.12272/3092instacron:UTNInstitucionalhttp://ria.utn.edu.ar/Universidad públicaNo correspondehttp://ria.utn.edu.ar/oaigestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:a2026-09-24 12:47:20.862Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacionalfalse
dc.title.none.fl_str_mv An MILP model for planning of batch plants operating in a campaign- mode
title An MILP model for planning of batch plants operating in a campaign- mode
spellingShingle An MILP model for planning of batch plants operating in a campaign- mode
Fumero, Yanina
multiproduct batch plants
production campaign
planning
scheduling
MILP model
title_short An MILP model for planning of batch plants operating in a campaign- mode
title_full An MILP model for planning of batch plants operating in a campaign- mode
title_fullStr An MILP model for planning of batch plants operating in a campaign- mode
title_full_unstemmed An MILP model for planning of batch plants operating in a campaign- mode
title_sort An MILP model for planning of batch plants operating in a campaign- mode
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 multiproduct batch plants
production campaign
planning
scheduling
MILP model
topic multiproduct batch plants
production campaign
planning
scheduling
MILP model
dc.description.none.fl_txt_mv A mixed integer linear programming for the detailed production planning of multiproduct batch plants is proposed in this work. New timing decisions are incorporated to the model taking into account that an operation mode based in campaigns is adopted. For plants operating in a regular fashion along a time horizon, this operation mode assures a more efficient production management. In addition, sequencedependent changeover times and different unit sizes for parallel units in each stage are considered. Given the plant configuration and unit sizes, the total amount of each product to be produced and the product recipes, the proposed model determines the number of batches that compose the production campaign and their sizes, the assignment and sequencing of batches in each unit, and the timing of batches in each unit in order to minimize the campaign cycle time. The proposed model provides a useful tool for solving the optimal campaign planning of installed facilities.
Fil: CONICET – UTN; INGAR, Instituto de Desarrollo y Diseño; Argentina
Peer Reviewed
description A mixed integer linear programming for the detailed production planning of multiproduct batch plants is proposed in this work. New timing decisions are incorporated to the model taking into account that an operation mode based in campaigns is adopted. For plants operating in a regular fashion along a time horizon, this operation mode assures a more efficient production management. In addition, sequencedependent changeover times and different unit sizes for parallel units in each stage are considered. Given the plant configuration and unit sizes, the total amount of each product to be produced and the product recipes, the proposed model determines the number of batches that compose the production campaign and their sizes, the assignment and sequencing of batches in each unit, and the timing of batches in each unit in order to minimize the campaign cycle time. The proposed model provides a useful tool for solving the optimal campaign planning of installed facilities.
publishDate 2014
dc.date.none.fl_str_mv 2014
2018-09-10T13:09:36Z
2018-09-10T13:09:36Z
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/acceptedVersion
docunento de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str acceptedVersion
dc.identifier.none.fl_str_mv Fumero, Y., Corsano, G. & Montagna, J.M. Ann Oper Res (2017) 258: 415. https://doi.org/10.1007/s10479-016-2301-6
0254-5330
http://hdl.handle.net/20.500.12272/3092
https://doi.org/10.1007/s10479-016-2301-6
identifier_str_mv Fumero, Y., Corsano, G. & Montagna, J.M. Ann Oper Res (2017) 258: 415. https://doi.org/10.1007/s10479-016-2301-6
0254-5330
url http://hdl.handle.net/20.500.12272/3092
https://doi.org/10.1007/s10479-016-2301-6
dc.language.none.fl_str_mv eng
eng
language eng
dc.relation.none.fl_str_mv PID:25/O152: "Integración de sistemas soporte de decisión para la gestión óptima de la cadena de suministros utilizando sistemas empresariales"
C. T. Maravelias. General framework and modeling approach classification for chemical production scheduling. AIChE Journal 2012, 58(6): 1812-1828, 2012.
D. Birewar and I. E. Grossmann. Incorporating scheduling in the optimal design of multiproduct batch plants. Computers and Chemical Engineering, 13, 141-161, 1989
V.T. Voudouris, I.E. Grossmann. Mixed-Integer Linear Programming Reformulations for Batch Process Design with Discrete Equipment Sizes. Ind. Eng. Chem. Res. 1992,31, 1315-1325
Y. Fumero, G. Corsano, J. M. Montagna. Scheduling of multistage multiproduct batch plants operating in a campaign-mode. Industrial Engineering and Chemical Research, 5: 3988−4001, 2012.
Y. Fumero, G. Corsano, J. M. Montagna. Detailed Design of Multiproduct Batch Plants Considering Prodction Scheduling. Industrial Engineering and Chemical Research, 50 (10), 6146-6160, 2011.
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
2018-09-10T13:09:36Z
http://creativecommons.org/publicdomain/zero/1.0/
Autorizo la publicación de la obra, desde si aprobación/presentación
CC0 1.0 Universal
eu_rights_str_mv openAccess
rights_invalid_str_mv 2018-09-10T13:09:36Z
http://creativecommons.org/publicdomain/zero/1.0/
Autorizo la publicación de la obra, desde si aprobación/presentación
CC0 1.0 Universal
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.source.none.fl_str_mv reponame:Repositorio Institucional Abierto (UTN)
instname:Universidad Tecnológica Nacional
reponame_str Repositorio Institucional Abierto (UTN)
collection Repositorio Institucional Abierto (UTN)
instname_str Universidad Tecnológica Nacional
repository.name.fl_str_mv Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacional
repository.mail.fl_str_mv gestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.ar
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score 13.265058

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