A Novel Network-based Continuous-Time Representation for Process Scheduling: Part I. Mathematical Formulation

Autores
Gimenez, Diego Marcelo; Henning, Gabriela Patricia; Maravelias, Christos
Año de publicación
2009
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
A novel network-based framework for the short-term scheduling of multi-purpose batch processes is presented. The novelty of the proposed approach lies in five key concepts. First, it is based on a new continuous-time representation that does not require tasks to start (end) exactly at a time point; thus reducing the number of time points needed to represent a solution. Second, processing units are modeled as being in different activity states to allow storage of input/output materials. Third, time variables for “idle” and “storage” periods of a unit are introduced to enable the matching between tasks and time points without big-M constraints. Fourth, material transfer variables are introduced to explicitly account for unit connectivity. Fifth, inventory variables for storage in processing units are incorporated to model non-simultaneous and partial material transfers. The proposed representation leads to MILP formulations which address limitations of existing scheduling methods.
Fil: Gimenez, Diego Marcelo. 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: Henning, Gabriela Patricia. 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: Maravelias, Christos. University of Wisconsin; Estados Unidos
Materia
Process Scheduling
Network-Based Continuous-Time Representation
Mixed-Integer Linear Programming
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:11336/26089
Acceder
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network_acronym_str CONICETDig
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network_name_str CONICET Digital (CONICET)
spelling A Novel Network-based Continuous-Time Representation for Process Scheduling: Part I. Mathematical FormulationGimenez, Diego MarceloHenning, Gabriela PatriciaMaravelias, ChristosProcess SchedulingNetwork-Based Continuous-Time RepresentationMixed-Integer Linear Programminghttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1A novel network-based framework for the short-term scheduling of multi-purpose batch processes is presented. The novelty of the proposed approach lies in five key concepts. First, it is based on a new continuous-time representation that does not require tasks to start (end) exactly at a time point; thus reducing the number of time points needed to represent a solution. Second, processing units are modeled as being in different activity states to allow storage of input/output materials. Third, time variables for “idle” and “storage” periods of a unit are introduced to enable the matching between tasks and time points without big-M constraints. Fourth, material transfer variables are introduced to explicitly account for unit connectivity. Fifth, inventory variables for storage in processing units are incorporated to model non-simultaneous and partial material transfers. The proposed representation leads to MILP formulations which address limitations of existing scheduling methods.Fil: Gimenez, Diego Marcelo. 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: Henning, Gabriela Patricia. 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: Maravelias, Christos. University of Wisconsin; Estados UnidosElsevier2009-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/26089Gimenez, Diego Marcelo; Henning, Gabriela Patricia; Maravelias, Christos; A Novel Network-based Continuous-Time Representation for Process Scheduling: Part I. Mathematical Formulation; Elsevier; Computers and Chemical Engineering; 33; 9; 12-2009; 1511-15280098-1354CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.compchemeng.2009.03.007info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0098135409000714info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:53:04Zoai:ri.conicet.gov.ar:11336/26089instacron: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 09:53:04.859CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A Novel Network-based Continuous-Time Representation for Process Scheduling: Part I. Mathematical Formulation
title A Novel Network-based Continuous-Time Representation for Process Scheduling: Part I. Mathematical Formulation
spellingShingle A Novel Network-based Continuous-Time Representation for Process Scheduling: Part I. Mathematical Formulation
Gimenez, Diego Marcelo
Process Scheduling
Network-Based Continuous-Time Representation
Mixed-Integer Linear Programming
title_short A Novel Network-based Continuous-Time Representation for Process Scheduling: Part I. Mathematical Formulation
title_full A Novel Network-based Continuous-Time Representation for Process Scheduling: Part I. Mathematical Formulation
title_fullStr A Novel Network-based Continuous-Time Representation for Process Scheduling: Part I. Mathematical Formulation
title_full_unstemmed A Novel Network-based Continuous-Time Representation for Process Scheduling: Part I. Mathematical Formulation
title_sort A Novel Network-based Continuous-Time Representation for Process Scheduling: Part I. Mathematical Formulation
dc.creator.none.fl_str_mv Gimenez, Diego Marcelo
Henning, Gabriela Patricia
Maravelias, Christos
author Gimenez, Diego Marcelo
author_facet Gimenez, Diego Marcelo
Henning, Gabriela Patricia
Maravelias, Christos
author_role author
author2 Henning, Gabriela Patricia
Maravelias, Christos
author2_role author
author
dc.subject.none.fl_str_mv Process Scheduling
Network-Based Continuous-Time Representation
Mixed-Integer Linear Programming
topic Process Scheduling
Network-Based Continuous-Time Representation
Mixed-Integer Linear Programming
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv A novel network-based framework for the short-term scheduling of multi-purpose batch processes is presented. The novelty of the proposed approach lies in five key concepts. First, it is based on a new continuous-time representation that does not require tasks to start (end) exactly at a time point; thus reducing the number of time points needed to represent a solution. Second, processing units are modeled as being in different activity states to allow storage of input/output materials. Third, time variables for “idle” and “storage” periods of a unit are introduced to enable the matching between tasks and time points without big-M constraints. Fourth, material transfer variables are introduced to explicitly account for unit connectivity. Fifth, inventory variables for storage in processing units are incorporated to model non-simultaneous and partial material transfers. The proposed representation leads to MILP formulations which address limitations of existing scheduling methods.
Fil: Gimenez, Diego Marcelo. 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: Henning, Gabriela Patricia. 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: Maravelias, Christos. University of Wisconsin; Estados Unidos
description A novel network-based framework for the short-term scheduling of multi-purpose batch processes is presented. The novelty of the proposed approach lies in five key concepts. First, it is based on a new continuous-time representation that does not require tasks to start (end) exactly at a time point; thus reducing the number of time points needed to represent a solution. Second, processing units are modeled as being in different activity states to allow storage of input/output materials. Third, time variables for “idle” and “storage” periods of a unit are introduced to enable the matching between tasks and time points without big-M constraints. Fourth, material transfer variables are introduced to explicitly account for unit connectivity. Fifth, inventory variables for storage in processing units are incorporated to model non-simultaneous and partial material transfers. The proposed representation leads to MILP formulations which address limitations of existing scheduling methods.
publishDate 2009
dc.date.none.fl_str_mv 2009-12
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/11336/26089
Gimenez, Diego Marcelo; Henning, Gabriela Patricia; Maravelias, Christos; A Novel Network-based Continuous-Time Representation for Process Scheduling: Part I. Mathematical Formulation; Elsevier; Computers and Chemical Engineering; 33; 9; 12-2009; 1511-1528
0098-1354
CONICET Digital
CONICET
url http://hdl.handle.net/11336/26089
identifier_str_mv Gimenez, Diego Marcelo; Henning, Gabriela Patricia; Maravelias, Christos; A Novel Network-based Continuous-Time Representation for Process Scheduling: Part I. Mathematical Formulation; Elsevier; Computers and Chemical Engineering; 33; 9; 12-2009; 1511-1528
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.2009.03.007
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0098135409000714
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
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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 13.13397

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