Solving scheduling problems in a multi-stage multi-product batch pharmaceutical industry

Autores
Kopanos, Georgios; Mendez, Carlos Alberto; Puigjaner, Luis
Año de publicación
2010
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
An iterative two-stage decomposition solution strategy for solving real-world scheduling problems in multi-stage multi-product batch plants is presented. The proposed method has as a core a mixed integer mathematical model, and consists of a constructive step, wherein a feasible and good solution is rapidly generated by following some insertion criteria, and an improvement step, wherein the initial solution is systematically enhanced by adopting several rescheduling techniques. The proposed strategy performance is tested on a number of problem instances of a complicated real-world multi-stage multi-product pharmaceuticals scheduling problem. High quality solutions are reported within reasonable computational time.
Fil: Kopanos, Georgios. Universidad Politecnica de Catalunya; España
Fil: Mendez, Carlos Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química (i); Argentina
Fil: Puigjaner, Luis. Universidad Politecnica de Catalunya; España
Materia
MILP-based approach
Multi-stage Multi-product batch process
Two-stage Decomposition Strategy
Real-world Scheduling problems
Pharmaceutical Industry
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:11336/13749
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/13749
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Solving scheduling problems in a multi-stage multi-product batch pharmaceutical industryKopanos, GeorgiosMendez, Carlos AlbertoPuigjaner, LuisMILP-based approachMulti-stage Multi-product batch processTwo-stage Decomposition StrategyReal-world Scheduling problemsPharmaceutical Industryhttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2An iterative two-stage decomposition solution strategy for solving real-world scheduling problems in multi-stage multi-product batch plants is presented. The proposed method has as a core a mixed integer mathematical model, and consists of a constructive step, wherein a feasible and good solution is rapidly generated by following some insertion criteria, and an improvement step, wherein the initial solution is systematically enhanced by adopting several rescheduling techniques. The proposed strategy performance is tested on a number of problem instances of a complicated real-world multi-stage multi-product pharmaceuticals scheduling problem. High quality solutions are reported within reasonable computational time.Fil: Kopanos, Georgios. Universidad Politecnica de Catalunya; EspañaFil: Mendez, Carlos Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química (i); ArgentinaFil: Puigjaner, Luis. Universidad Politecnica de Catalunya; EspañaAIDIC Servizi2010-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/13749Kopanos, Georgios; Mendez, Carlos Alberto; Puigjaner, Luis; Solving scheduling problems in a multi-stage multi-product batch pharmaceutical industry; AIDIC Servizi; Chemical Engineering Transactions; 21; 9-2010; 511-5161974-9791enginfo:eu-repo/semantics/altIdentifier/url/http://www.aidic.it/cet/10/21/086.pdfinfo:eu-repo/semantics/altIdentifier/doi/10.3303/CET1021086info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:53:46Zoai:ri.conicet.gov.ar:11336/13749instacron: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:34982025-09-29 09:53:46.274CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Solving scheduling problems in a multi-stage multi-product batch pharmaceutical industry
title Solving scheduling problems in a multi-stage multi-product batch pharmaceutical industry
spellingShingle Solving scheduling problems in a multi-stage multi-product batch pharmaceutical industry
Kopanos, Georgios
MILP-based approach
Multi-stage Multi-product batch process
Two-stage Decomposition Strategy
Real-world Scheduling problems
Pharmaceutical Industry
title_short Solving scheduling problems in a multi-stage multi-product batch pharmaceutical industry
title_full Solving scheduling problems in a multi-stage multi-product batch pharmaceutical industry
title_fullStr Solving scheduling problems in a multi-stage multi-product batch pharmaceutical industry
title_full_unstemmed Solving scheduling problems in a multi-stage multi-product batch pharmaceutical industry
title_sort Solving scheduling problems in a multi-stage multi-product batch pharmaceutical industry
dc.creator.none.fl_str_mv Kopanos, Georgios
Mendez, Carlos Alberto
Puigjaner, Luis
author Kopanos, Georgios
author_facet Kopanos, Georgios
Mendez, Carlos Alberto
Puigjaner, Luis
author_role author
author2 Mendez, Carlos Alberto
Puigjaner, Luis
author2_role author
author
dc.subject.none.fl_str_mv MILP-based approach
Multi-stage Multi-product batch process
Two-stage Decomposition Strategy
Real-world Scheduling problems
Pharmaceutical Industry
topic MILP-based approach
Multi-stage Multi-product batch process
Two-stage Decomposition Strategy
Real-world Scheduling problems
Pharmaceutical Industry
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv An iterative two-stage decomposition solution strategy for solving real-world scheduling problems in multi-stage multi-product batch plants is presented. The proposed method has as a core a mixed integer mathematical model, and consists of a constructive step, wherein a feasible and good solution is rapidly generated by following some insertion criteria, and an improvement step, wherein the initial solution is systematically enhanced by adopting several rescheduling techniques. The proposed strategy performance is tested on a number of problem instances of a complicated real-world multi-stage multi-product pharmaceuticals scheduling problem. High quality solutions are reported within reasonable computational time.
Fil: Kopanos, Georgios. Universidad Politecnica de Catalunya; España
Fil: Mendez, Carlos Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química (i); Argentina
Fil: Puigjaner, Luis. Universidad Politecnica de Catalunya; España
description An iterative two-stage decomposition solution strategy for solving real-world scheduling problems in multi-stage multi-product batch plants is presented. The proposed method has as a core a mixed integer mathematical model, and consists of a constructive step, wherein a feasible and good solution is rapidly generated by following some insertion criteria, and an improvement step, wherein the initial solution is systematically enhanced by adopting several rescheduling techniques. The proposed strategy performance is tested on a number of problem instances of a complicated real-world multi-stage multi-product pharmaceuticals scheduling problem. High quality solutions are reported within reasonable computational time.
publishDate 2010
dc.date.none.fl_str_mv 2010-09
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/11336/13749
Kopanos, Georgios; Mendez, Carlos Alberto; Puigjaner, Luis; Solving scheduling problems in a multi-stage multi-product batch pharmaceutical industry; AIDIC Servizi; Chemical Engineering Transactions; 21; 9-2010; 511-516
1974-9791
url http://hdl.handle.net/11336/13749
identifier_str_mv Kopanos, Georgios; Mendez, Carlos Alberto; Puigjaner, Luis; Solving scheduling problems in a multi-stage multi-product batch pharmaceutical industry; AIDIC Servizi; Chemical Engineering Transactions; 21; 9-2010; 511-516
1974-9791
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.aidic.it/cet/10/21/086.pdf
info:eu-repo/semantics/altIdentifier/doi/10.3303/CET1021086
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 AIDIC Servizi
publisher.none.fl_str_mv AIDIC Servizi
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
_version_ 1844613638801850368
score 13.070432

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