Robust integrated production-maintenance scheduling for an evaporation network
- Autores
- Palacín, C.G.; Pitarch, J.L.; Jasch, C.; Mendez, Carlos Alberto; de Prada, C.
- Año de publicación
- 2018
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- This work aims to reduce the global resource consumption in an industrial evaporation network by better tasks management and coordination. The network works in continuous, processing some products in several evaporation plants, so optimal load allocation and product-plant assignment problems appear. The plants have different features (capacity, equipment, etc.) and their performance is affected by fouling inside the heat exchangers and external factors. Hereby, the optimizer has to decide when maintenance operations have to be triggered. Therefore, a mixed production/maintenance scheduling problem arises. The plant behavior is approximated by surrogate linear models obtained experimentally, allowing thus the use of mixed-integer linear optimization routines to obtain solutions in acceptable time. Furthermore, uncertainty in the weather forecast and in the production plan is also considered via a two-stage stochastic programming approach. Finally, a trade-off analysis between other objectives of interest is given to support the decision maker.
Fil: Palacín, C.G.. Universidad de Valladolid; España
Fil: Pitarch, J.L.. Universidad de Valladolid; España
Fil: Jasch, C.. Lenzing Ag; Austria
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: de Prada, C.. Universidad de Valladolid; España - Materia
-
FOULING
INTEGRATION
MAINTENANCE PREDICTION
PRODUCTION SCHEDULING
SIMILARITY INDEX
STOCHASTIC OPTIMIZATION - 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:11336/86618
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Robust integrated production-maintenance scheduling for an evaporation networkPalacín, C.G.Pitarch, J.L.Jasch, C.Mendez, Carlos Albertode Prada, C.FOULINGINTEGRATIONMAINTENANCE PREDICTIONPRODUCTION SCHEDULINGSIMILARITY INDEXSTOCHASTIC OPTIMIZATIONhttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2This work aims to reduce the global resource consumption in an industrial evaporation network by better tasks management and coordination. The network works in continuous, processing some products in several evaporation plants, so optimal load allocation and product-plant assignment problems appear. The plants have different features (capacity, equipment, etc.) and their performance is affected by fouling inside the heat exchangers and external factors. Hereby, the optimizer has to decide when maintenance operations have to be triggered. Therefore, a mixed production/maintenance scheduling problem arises. The plant behavior is approximated by surrogate linear models obtained experimentally, allowing thus the use of mixed-integer linear optimization routines to obtain solutions in acceptable time. Furthermore, uncertainty in the weather forecast and in the production plan is also considered via a two-stage stochastic programming approach. Finally, a trade-off analysis between other objectives of interest is given to support the decision maker.Fil: Palacín, C.G.. Universidad de Valladolid; EspañaFil: Pitarch, J.L.. Universidad de Valladolid; EspañaFil: Jasch, C.. Lenzing Ag; AustriaFil: 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: de Prada, C.. Universidad de Valladolid; EspañaPergamon-Elsevier Science Ltd2018-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/86618Palacín, C.G.; Pitarch, J.L.; Jasch, C.; Mendez, Carlos Alberto; de Prada, C.; Robust integrated production-maintenance scheduling for an evaporation network; Pergamon-Elsevier Science Ltd; Computers and Chemical Engineering; 110; 2-2018; 140-1510098-1354CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.compchemeng.2017.12.005info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-10T13:20:40Zoai:ri.conicet.gov.ar:11336/86618instacron: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:34982025-09-10 13:20:40.584CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Robust integrated production-maintenance scheduling for an evaporation network |
title |
Robust integrated production-maintenance scheduling for an evaporation network |
spellingShingle |
Robust integrated production-maintenance scheduling for an evaporation network Palacín, C.G. FOULING INTEGRATION MAINTENANCE PREDICTION PRODUCTION SCHEDULING SIMILARITY INDEX STOCHASTIC OPTIMIZATION |
title_short |
Robust integrated production-maintenance scheduling for an evaporation network |
title_full |
Robust integrated production-maintenance scheduling for an evaporation network |
title_fullStr |
Robust integrated production-maintenance scheduling for an evaporation network |
title_full_unstemmed |
Robust integrated production-maintenance scheduling for an evaporation network |
title_sort |
Robust integrated production-maintenance scheduling for an evaporation network |
dc.creator.none.fl_str_mv |
Palacín, C.G. Pitarch, J.L. Jasch, C. Mendez, Carlos Alberto de Prada, C. |
author |
Palacín, C.G. |
author_facet |
Palacín, C.G. Pitarch, J.L. Jasch, C. Mendez, Carlos Alberto de Prada, C. |
author_role |
author |
author2 |
Pitarch, J.L. Jasch, C. Mendez, Carlos Alberto de Prada, C. |
author2_role |
author author author author |
dc.subject.none.fl_str_mv |
FOULING INTEGRATION MAINTENANCE PREDICTION PRODUCTION SCHEDULING SIMILARITY INDEX STOCHASTIC OPTIMIZATION |
topic |
FOULING INTEGRATION MAINTENANCE PREDICTION PRODUCTION SCHEDULING SIMILARITY INDEX STOCHASTIC OPTIMIZATION |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/2.4 https://purl.org/becyt/ford/2 |
dc.description.none.fl_txt_mv |
This work aims to reduce the global resource consumption in an industrial evaporation network by better tasks management and coordination. The network works in continuous, processing some products in several evaporation plants, so optimal load allocation and product-plant assignment problems appear. The plants have different features (capacity, equipment, etc.) and their performance is affected by fouling inside the heat exchangers and external factors. Hereby, the optimizer has to decide when maintenance operations have to be triggered. Therefore, a mixed production/maintenance scheduling problem arises. The plant behavior is approximated by surrogate linear models obtained experimentally, allowing thus the use of mixed-integer linear optimization routines to obtain solutions in acceptable time. Furthermore, uncertainty in the weather forecast and in the production plan is also considered via a two-stage stochastic programming approach. Finally, a trade-off analysis between other objectives of interest is given to support the decision maker. Fil: Palacín, C.G.. Universidad de Valladolid; España Fil: Pitarch, J.L.. Universidad de Valladolid; España Fil: Jasch, C.. Lenzing Ag; Austria 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: de Prada, C.. Universidad de Valladolid; España |
description |
This work aims to reduce the global resource consumption in an industrial evaporation network by better tasks management and coordination. The network works in continuous, processing some products in several evaporation plants, so optimal load allocation and product-plant assignment problems appear. The plants have different features (capacity, equipment, etc.) and their performance is affected by fouling inside the heat exchangers and external factors. Hereby, the optimizer has to decide when maintenance operations have to be triggered. Therefore, a mixed production/maintenance scheduling problem arises. The plant behavior is approximated by surrogate linear models obtained experimentally, allowing thus the use of mixed-integer linear optimization routines to obtain solutions in acceptable time. Furthermore, uncertainty in the weather forecast and in the production plan is also considered via a two-stage stochastic programming approach. Finally, a trade-off analysis between other objectives of interest is given to support the decision maker. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-02 |
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/11336/86618 Palacín, C.G.; Pitarch, J.L.; Jasch, C.; Mendez, Carlos Alberto; de Prada, C.; Robust integrated production-maintenance scheduling for an evaporation network; Pergamon-Elsevier Science Ltd; Computers and Chemical Engineering; 110; 2-2018; 140-151 0098-1354 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/86618 |
identifier_str_mv |
Palacín, C.G.; Pitarch, J.L.; Jasch, C.; Mendez, Carlos Alberto; de Prada, C.; Robust integrated production-maintenance scheduling for an evaporation network; Pergamon-Elsevier Science Ltd; Computers and Chemical Engineering; 110; 2-2018; 140-151 0098-1354 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.compchemeng.2017.12.005 |
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 |
Pergamon-Elsevier Science Ltd |
publisher.none.fl_str_mv |
Pergamon-Elsevier Science Ltd |
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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1842981130843717632 |
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12.48226 |