Efficient scheduling of a real case study of the pharmaceutical industry using a mathematical-algorithmic decomposition methodology

Autores
Stürtz, Josías A.; Marchetti, Pablo A.
Año de publicación
2021
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión aceptada
Descripción
This work presents a mathematical-algorithmic methodology to handle scheduling decisions on multiproduct multistage batch facilities, developed with the aim to solve problems of industrial size. The proposal is based on the iterative construction of a solution by solving a sequence of subproblems associated to each stage, identifying and fixing the critical decisions at each step, and keeping rigorous information on the bounds. The methodology is applied to a real case study obtaining good quality solutions in competitive computing times.
Fil: Stürtz, Josías A. Universidad Tecnológica Nacional. Facultad Regional Santa Fe; Argentina.
Fil: Marchetti, Pablo A. Universidad Tecnológica Nacional. Facultad Regional Santa Fe; Argentina.
Fil: Marchetti, Pablo A. CONICET-UNL. Instituto de Desarrollo Tecnológico para la Industria Química (INTEC); Argentina.
Materia
Multiproduct batch plants
Scheduling
Optimization
Nivel de accesibilidad
acceso abierto
Condiciones de uso
2024-03-26T22:55:12Z
Repositorio
Repositorio Institucional Abierto (UTN)
Institución
Universidad Tecnológica Nacional
OAI Identificador
oai:ria.utn.edu.ar:20.500.12272/10167
Acceder
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network_acronym_str RIAUTN
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network_name_str Repositorio Institucional Abierto (UTN)
spelling Efficient scheduling of a real case study of the pharmaceutical industry using a mathematical-algorithmic decomposition methodologyStürtz, Josías A.Marchetti, Pablo A.Multiproduct batch plantsSchedulingOptimizationThis work presents a mathematical-algorithmic methodology to handle scheduling decisions on multiproduct multistage batch facilities, developed with the aim to solve problems of industrial size. The proposal is based on the iterative construction of a solution by solving a sequence of subproblems associated to each stage, identifying and fixing the critical decisions at each step, and keeping rigorous information on the bounds. The methodology is applied to a real case study obtaining good quality solutions in competitive computing times.Fil: Stürtz, Josías A. Universidad Tecnológica Nacional. Facultad Regional Santa Fe; Argentina.Fil: Marchetti, Pablo A. Universidad Tecnológica Nacional. Facultad Regional Santa Fe; Argentina.Fil: Marchetti, Pablo A. CONICET-UNL. Instituto de Desarrollo Tecnológico para la Industria Química (INTEC); Argentina.ICPR-Americas 20202024-03-26T22:55:12Z2024-03-26T22:55:12Z2021-05-12info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciapdfapplication/pdfStürtz, J. A.; Marchetti, P. A. (9-11 de Diciembre de 2020). Efficient scheduling of a real case study of the pharmaceutical industry using a mathematical-algorithmic decomposition methodology. Xth International Conference of Production Research - Americas 2020 (ICPR-Americas 2020). Universidad Nacional del Sur, Bahía Blanca, Argentina. pp. 171–176http://hdl.handle.net/20.500.12272/1016710.1007/978-3-030-76307-7_13engSIUTIFE0007768TC - Optimización de la Producción en la Industria de Procesos: Modelos y Herramientas Competitivas para Problemas de Tamaño Industrialinfo:eu-repo/semantics/openAccess2024-03-26T22:55:12Zhttp://creativecommons.org/licenses/by-nc-nd/4.0/Attribution-NonCommercial-NoDerivatives 4.0 InternacionalLos autoresCreativeCommonsreponame:Repositorio Institucional Abierto (UTN)instname:Universidad Tecnológica Nacional2026-09-24T12:49:01Zoai:ria.utn.edu.ar:20.500.12272/10167instacron: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 12:49:01.56Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacionalfalse
dc.title.none.fl_str_mv Efficient scheduling of a real case study of the pharmaceutical industry using a mathematical-algorithmic decomposition methodology
title Efficient scheduling of a real case study of the pharmaceutical industry using a mathematical-algorithmic decomposition methodology
spellingShingle Efficient scheduling of a real case study of the pharmaceutical industry using a mathematical-algorithmic decomposition methodology
Stürtz, Josías A.
Multiproduct batch plants
Scheduling
Optimization
title_short Efficient scheduling of a real case study of the pharmaceutical industry using a mathematical-algorithmic decomposition methodology
title_full Efficient scheduling of a real case study of the pharmaceutical industry using a mathematical-algorithmic decomposition methodology
title_fullStr Efficient scheduling of a real case study of the pharmaceutical industry using a mathematical-algorithmic decomposition methodology
title_full_unstemmed Efficient scheduling of a real case study of the pharmaceutical industry using a mathematical-algorithmic decomposition methodology
title_sort Efficient scheduling of a real case study of the pharmaceutical industry using a mathematical-algorithmic decomposition methodology
dc.creator.none.fl_str_mv Stürtz, Josías A.
Marchetti, Pablo A.
author Stürtz, Josías A.
author_facet Stürtz, Josías A.
Marchetti, Pablo A.
author_role author
author2 Marchetti, Pablo A.
author2_role author
dc.subject.none.fl_str_mv Multiproduct batch plants
Scheduling
Optimization
topic Multiproduct batch plants
Scheduling
Optimization
dc.description.none.fl_txt_mv This work presents a mathematical-algorithmic methodology to handle scheduling decisions on multiproduct multistage batch facilities, developed with the aim to solve problems of industrial size. The proposal is based on the iterative construction of a solution by solving a sequence of subproblems associated to each stage, identifying and fixing the critical decisions at each step, and keeping rigorous information on the bounds. The methodology is applied to a real case study obtaining good quality solutions in competitive computing times.
Fil: Stürtz, Josías A. Universidad Tecnológica Nacional. Facultad Regional Santa Fe; Argentina.
Fil: Marchetti, Pablo A. Universidad Tecnológica Nacional. Facultad Regional Santa Fe; Argentina.
Fil: Marchetti, Pablo A. CONICET-UNL. Instituto de Desarrollo Tecnológico para la Industria Química (INTEC); Argentina.
description This work presents a mathematical-algorithmic methodology to handle scheduling decisions on multiproduct multistage batch facilities, developed with the aim to solve problems of industrial size. The proposal is based on the iterative construction of a solution by solving a sequence of subproblems associated to each stage, identifying and fixing the critical decisions at each step, and keeping rigorous information on the bounds. The methodology is applied to a real case study obtaining good quality solutions in competitive computing times.
publishDate 2021
dc.date.none.fl_str_mv 2021-05-12
2024-03-26T22:55:12Z
2024-03-26T22:55:12Z
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/acceptedVersion
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str acceptedVersion
dc.identifier.none.fl_str_mv Stürtz, J. A.; Marchetti, P. A. (9-11 de Diciembre de 2020). Efficient scheduling of a real case study of the pharmaceutical industry using a mathematical-algorithmic decomposition methodology. Xth International Conference of Production Research - Americas 2020 (ICPR-Americas 2020). Universidad Nacional del Sur, Bahía Blanca, Argentina. pp. 171–176
http://hdl.handle.net/20.500.12272/10167
10.1007/978-3-030-76307-7_13
identifier_str_mv Stürtz, J. A.; Marchetti, P. A. (9-11 de Diciembre de 2020). Efficient scheduling of a real case study of the pharmaceutical industry using a mathematical-algorithmic decomposition methodology. Xth International Conference of Production Research - Americas 2020 (ICPR-Americas 2020). Universidad Nacional del Sur, Bahía Blanca, Argentina. pp. 171–176
10.1007/978-3-030-76307-7_13
url http://hdl.handle.net/20.500.12272/10167
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv SIUTIFE0007768TC - Optimización de la Producción en la Industria de Procesos: Modelos y Herramientas Competitivas para Problemas de Tamaño Industrial
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
2024-03-26T22:55:12Z
http://creativecommons.org/licenses/by-nc-nd/4.0/
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Los autores
CreativeCommons
eu_rights_str_mv openAccess
rights_invalid_str_mv 2024-03-26T22:55:12Z
http://creativecommons.org/licenses/by-nc-nd/4.0/
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Los autores
CreativeCommons
dc.format.none.fl_str_mv pdf
application/pdf
dc.publisher.none.fl_str_mv ICPR-Americas 2020
publisher.none.fl_str_mv ICPR-Americas 2020
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 13.24418

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