Optimal reactive scheduling of manufacturing plants with flexible batch recipes

Autores
Ferrer Nadal, S.; Mendez, Carlos Alberto; Graells, Moisès; Puigjaner, L.
Año de publicación
2007
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The inherent dynamic nature of industrial environments often needs not only the cyclic revision of scheduling decisions (typical rescheduling actions) but also an efficient adjustment of the production recipe to the current process conditions. Therefore, the concept of flexible recipe becomes an important part of the rescheduling framework that allows full exploitation of the process flexibility in batch plants. This work introduces a rigorous mathematical approach that incorporates the concept of recipe flexibility to plant-wide batch operation rescheduling. The proposed MILP-based approach is able to address the rescheduling problem of multistage multipurpose batch plants involving different storage policies, non-zero transfer times and flexible batch product recipes. This model relies on the concept of general precedence which reduces the number of binary variables and so the computational effort. Flexible recipe constraints are incorporated in this model to account for the possibility of changing the processing time of some tasks tweaking the rest of the parameters of the product recipe. The cost for modifying these process variables from their optimal economic conditions is taken into account to represent how productivity is increased despite the cost of altering the nominal plant conditions. Different incidences such as insertion of new orders, equipment failures, due-date changes, maintenance tasks, delay in arrivals, variations in the cost and quality of the raw materials or products, taking place throughout the scheduling horizon are considered to evaluate the effectiveness of the proposed approach.
Fil: Ferrer Nadal, S.. Universidad Politecnica de Catalunya; España
Fil: Mendez, Carlos Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: Graells, Moisès. Universidad Politecnica de Catalunya; España
Fil: Puigjaner, L.. Universidad Politecnica de Catalunya; España
Materia
Scheduling
Flexible Recipes
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:11336/22814

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spelling Optimal reactive scheduling of manufacturing plants with flexible batch recipesFerrer Nadal, S.Mendez, Carlos AlbertoGraells, MoisèsPuigjaner, L.SchedulingFlexible Recipeshttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2The inherent dynamic nature of industrial environments often needs not only the cyclic revision of scheduling decisions (typical rescheduling actions) but also an efficient adjustment of the production recipe to the current process conditions. Therefore, the concept of flexible recipe becomes an important part of the rescheduling framework that allows full exploitation of the process flexibility in batch plants. This work introduces a rigorous mathematical approach that incorporates the concept of recipe flexibility to plant-wide batch operation rescheduling. The proposed MILP-based approach is able to address the rescheduling problem of multistage multipurpose batch plants involving different storage policies, non-zero transfer times and flexible batch product recipes. This model relies on the concept of general precedence which reduces the number of binary variables and so the computational effort. Flexible recipe constraints are incorporated in this model to account for the possibility of changing the processing time of some tasks tweaking the rest of the parameters of the product recipe. The cost for modifying these process variables from their optimal economic conditions is taken into account to represent how productivity is increased despite the cost of altering the nominal plant conditions. Different incidences such as insertion of new orders, equipment failures, due-date changes, maintenance tasks, delay in arrivals, variations in the cost and quality of the raw materials or products, taking place throughout the scheduling horizon are considered to evaluate the effectiveness of the proposed approach.Fil: Ferrer Nadal, S.. Universidad Politecnica de Catalunya; EspañaFil: Mendez, Carlos Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; ArgentinaFil: Graells, Moisès. Universidad Politecnica de Catalunya; EspañaFil: Puigjaner, L.. Universidad Politecnica de Catalunya; EspañaAmerican Chemical Society2007-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/22814Ferrer Nadal, S.; Mendez, Carlos Alberto; Graells, Moisès; Puigjaner, L.; Optimal reactive scheduling of manufacturing plants with flexible batch recipes; American Chemical Society; Industrial & Engineering Chemical Research; 46; 19; 12-2007; 6273-62830888-5885CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1021/ie061255info:eu-repo/semantics/altIdentifier/url/http://pubs.acs.org/doi/abs/10.1021/ie061255%2Binfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:46:44Zoai:ri.conicet.gov.ar:11336/22814instacron: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 09:46:44.792CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Optimal reactive scheduling of manufacturing plants with flexible batch recipes
title Optimal reactive scheduling of manufacturing plants with flexible batch recipes
spellingShingle Optimal reactive scheduling of manufacturing plants with flexible batch recipes
Ferrer Nadal, S.
Scheduling
Flexible Recipes
title_short Optimal reactive scheduling of manufacturing plants with flexible batch recipes
title_full Optimal reactive scheduling of manufacturing plants with flexible batch recipes
title_fullStr Optimal reactive scheduling of manufacturing plants with flexible batch recipes
title_full_unstemmed Optimal reactive scheduling of manufacturing plants with flexible batch recipes
title_sort Optimal reactive scheduling of manufacturing plants with flexible batch recipes
dc.creator.none.fl_str_mv Ferrer Nadal, S.
Mendez, Carlos Alberto
Graells, Moisès
Puigjaner, L.
author Ferrer Nadal, S.
author_facet Ferrer Nadal, S.
Mendez, Carlos Alberto
Graells, Moisès
Puigjaner, L.
author_role author
author2 Mendez, Carlos Alberto
Graells, Moisès
Puigjaner, L.
author2_role author
author
author
dc.subject.none.fl_str_mv Scheduling
Flexible Recipes
topic Scheduling
Flexible Recipes
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv The inherent dynamic nature of industrial environments often needs not only the cyclic revision of scheduling decisions (typical rescheduling actions) but also an efficient adjustment of the production recipe to the current process conditions. Therefore, the concept of flexible recipe becomes an important part of the rescheduling framework that allows full exploitation of the process flexibility in batch plants. This work introduces a rigorous mathematical approach that incorporates the concept of recipe flexibility to plant-wide batch operation rescheduling. The proposed MILP-based approach is able to address the rescheduling problem of multistage multipurpose batch plants involving different storage policies, non-zero transfer times and flexible batch product recipes. This model relies on the concept of general precedence which reduces the number of binary variables and so the computational effort. Flexible recipe constraints are incorporated in this model to account for the possibility of changing the processing time of some tasks tweaking the rest of the parameters of the product recipe. The cost for modifying these process variables from their optimal economic conditions is taken into account to represent how productivity is increased despite the cost of altering the nominal plant conditions. Different incidences such as insertion of new orders, equipment failures, due-date changes, maintenance tasks, delay in arrivals, variations in the cost and quality of the raw materials or products, taking place throughout the scheduling horizon are considered to evaluate the effectiveness of the proposed approach.
Fil: Ferrer Nadal, S.. Universidad Politecnica de Catalunya; España
Fil: Mendez, Carlos Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: Graells, Moisès. Universidad Politecnica de Catalunya; España
Fil: Puigjaner, L.. Universidad Politecnica de Catalunya; España
description The inherent dynamic nature of industrial environments often needs not only the cyclic revision of scheduling decisions (typical rescheduling actions) but also an efficient adjustment of the production recipe to the current process conditions. Therefore, the concept of flexible recipe becomes an important part of the rescheduling framework that allows full exploitation of the process flexibility in batch plants. This work introduces a rigorous mathematical approach that incorporates the concept of recipe flexibility to plant-wide batch operation rescheduling. The proposed MILP-based approach is able to address the rescheduling problem of multistage multipurpose batch plants involving different storage policies, non-zero transfer times and flexible batch product recipes. This model relies on the concept of general precedence which reduces the number of binary variables and so the computational effort. Flexible recipe constraints are incorporated in this model to account for the possibility of changing the processing time of some tasks tweaking the rest of the parameters of the product recipe. The cost for modifying these process variables from their optimal economic conditions is taken into account to represent how productivity is increased despite the cost of altering the nominal plant conditions. Different incidences such as insertion of new orders, equipment failures, due-date changes, maintenance tasks, delay in arrivals, variations in the cost and quality of the raw materials or products, taking place throughout the scheduling horizon are considered to evaluate the effectiveness of the proposed approach.
publishDate 2007
dc.date.none.fl_str_mv 2007-12
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/11336/22814
Ferrer Nadal, S.; Mendez, Carlos Alberto; Graells, Moisès; Puigjaner, L.; Optimal reactive scheduling of manufacturing plants with flexible batch recipes; American Chemical Society; Industrial & Engineering Chemical Research; 46; 19; 12-2007; 6273-6283
0888-5885
CONICET Digital
CONICET
url http://hdl.handle.net/11336/22814
identifier_str_mv Ferrer Nadal, S.; Mendez, Carlos Alberto; Graells, Moisès; Puigjaner, L.; Optimal reactive scheduling of manufacturing plants with flexible batch recipes; American Chemical Society; Industrial & Engineering Chemical Research; 46; 19; 12-2007; 6273-6283
0888-5885
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1021/ie061255
info:eu-repo/semantics/altIdentifier/url/http://pubs.acs.org/doi/abs/10.1021/ie061255%2B
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 American Chemical Society
publisher.none.fl_str_mv American Chemical Society
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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