Scope for industrial applications of production scheduling models and solution methods
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.9/2496 |
Resumo: | This paper gives a review on existing scheduling methodologies developed for process industries. Above all, the aim of the paper is to focus on the industrial aspects of scheduling and discuss the main characteristics, including strengths and weaknesses of the presented approaches. It is claimed that optimization tools of today can effectively support the plant level production. However there is still clear potential for improvements, especially in transferring academic results into industry. For instance, usability, interfacing and integration are some aspects discussed in the paper. After the introduction and problem classification, the paper discusses some lessons learned from industry, provides an overview of models and methods and concludes with general guidelines and examples on the modeling and solution of industrial problems. |
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Scope for industrial applications of production scheduling models and solution methodsSchedulingIndustrial applicationsBest practicesIntegrationChallengesThis paper gives a review on existing scheduling methodologies developed for process industries. Above all, the aim of the paper is to focus on the industrial aspects of scheduling and discuss the main characteristics, including strengths and weaknesses of the presented approaches. It is claimed that optimization tools of today can effectively support the plant level production. However there is still clear potential for improvements, especially in transferring academic results into industry. For instance, usability, interfacing and integration are some aspects discussed in the paper. After the introduction and problem classification, the paper discusses some lessons learned from industry, provides an overview of models and methods and concludes with general guidelines and examples on the modeling and solution of industrial problems.ElsevierRepositório do LNEGHarjunkoski, IiroMaravelias, Christos T.Bongers, PeterCastro, PedroEngell, SebastianGrossmann, Ignacio E.Hooker, JohnMendez, Carlos A.Sand, GuidoWassick, John2014-07-02T10:12:30Z2014-01-01T00:00:00Z2014-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.9/2496engHarjunkoski, I.; Maravelias, C.T.; Bongers, P.; Castro, P.; Engell, S.; Grossmann, I.E.; Hooker, J.; Méndez, C.; Sand, G.; Wassick, J. Scope for industrial applications of production scheduling models and solution methods. In: Computers and Chemical Engineering, 2014, Vol. 62, p. 161-1930098-1354info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-09-06T12:27:33Zoai:repositorio.lneg.pt:10400.9/2496Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T15:35:23.184980Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Scope for industrial applications of production scheduling models and solution methods |
title |
Scope for industrial applications of production scheduling models and solution methods |
spellingShingle |
Scope for industrial applications of production scheduling models and solution methods Harjunkoski, Iiro Scheduling Industrial applications Best practices Integration Challenges |
title_short |
Scope for industrial applications of production scheduling models and solution methods |
title_full |
Scope for industrial applications of production scheduling models and solution methods |
title_fullStr |
Scope for industrial applications of production scheduling models and solution methods |
title_full_unstemmed |
Scope for industrial applications of production scheduling models and solution methods |
title_sort |
Scope for industrial applications of production scheduling models and solution methods |
author |
Harjunkoski, Iiro |
author_facet |
Harjunkoski, Iiro Maravelias, Christos T. Bongers, Peter Castro, Pedro Engell, Sebastian Grossmann, Ignacio E. Hooker, John Mendez, Carlos A. Sand, Guido Wassick, John |
author_role |
author |
author2 |
Maravelias, Christos T. Bongers, Peter Castro, Pedro Engell, Sebastian Grossmann, Ignacio E. Hooker, John Mendez, Carlos A. Sand, Guido Wassick, John |
author2_role |
author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Repositório do LNEG |
dc.contributor.author.fl_str_mv |
Harjunkoski, Iiro Maravelias, Christos T. Bongers, Peter Castro, Pedro Engell, Sebastian Grossmann, Ignacio E. Hooker, John Mendez, Carlos A. Sand, Guido Wassick, John |
dc.subject.por.fl_str_mv |
Scheduling Industrial applications Best practices Integration Challenges |
topic |
Scheduling Industrial applications Best practices Integration Challenges |
description |
This paper gives a review on existing scheduling methodologies developed for process industries. Above all, the aim of the paper is to focus on the industrial aspects of scheduling and discuss the main characteristics, including strengths and weaknesses of the presented approaches. It is claimed that optimization tools of today can effectively support the plant level production. However there is still clear potential for improvements, especially in transferring academic results into industry. For instance, usability, interfacing and integration are some aspects discussed in the paper. After the introduction and problem classification, the paper discusses some lessons learned from industry, provides an overview of models and methods and concludes with general guidelines and examples on the modeling and solution of industrial problems. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-07-02T10:12:30Z 2014-01-01T00:00:00Z 2014-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.9/2496 |
url |
http://hdl.handle.net/10400.9/2496 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Harjunkoski, I.; Maravelias, C.T.; Bongers, P.; Castro, P.; Engell, S.; Grossmann, I.E.; Hooker, J.; Méndez, C.; Sand, G.; Wassick, J. Scope for industrial applications of production scheduling models and solution methods. In: Computers and Chemical Engineering, 2014, Vol. 62, p. 161-193 0098-1354 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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