Global optimization of energy and production in process industries: a genetic algorithm application
Autor(a) principal: | |
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Data de Publicação: | 1999 |
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/10316/4115 https://doi.org/10.1016/S0967-0661(98)00194-4 |
Resumo: | The process industries exhibit an increasing need for efficient management of all the factors that can reduce their operating costs, leading to the necessity for a global multi-objective optimization methodology that will enable the generation of optimum strategies, fulfilling the required restrictions. In this paper, a genetic algorithm is developed and applied for the optimal assignment of all the production sections in a particular mill in the kraft pulp and paper industry, in order to optimize energy the costs and production rate changes. This system is intended to implement all programmed or forced maintenance shutdowns, as well as all the reductions imposed in production rates. |
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Global optimization of energy and production in process industries: a genetic algorithm applicationProduction controlScheduling algorithmsGenetic algorithmsGlobal optimizationPulp industryThe process industries exhibit an increasing need for efficient management of all the factors that can reduce their operating costs, leading to the necessity for a global multi-objective optimization methodology that will enable the generation of optimum strategies, fulfilling the required restrictions. In this paper, a genetic algorithm is developed and applied for the optimal assignment of all the production sections in a particular mill in the kraft pulp and paper industry, in order to optimize energy the costs and production rate changes. This system is intended to implement all programmed or forced maintenance shutdowns, as well as all the reductions imposed in production rates.http://www.sciencedirect.com/science/article/B6V2H-3WJFJY7-D/1/7465ac585e8d9ac2ef4ea20cafe987121999info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleaplication/PDFhttp://hdl.handle.net/10316/4115http://hdl.handle.net/10316/4115https://doi.org/10.1016/S0967-0661(98)00194-4engControl Engineering Practice. 7:4 (1999) 549-554Santos, AmâncioDourado, Antónioinfo: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:RCAAP2020-11-06T16:59:56ZPortal AgregadorONG |
dc.title.none.fl_str_mv |
Global optimization of energy and production in process industries: a genetic algorithm application |
title |
Global optimization of energy and production in process industries: a genetic algorithm application |
spellingShingle |
Global optimization of energy and production in process industries: a genetic algorithm application Santos, Amâncio Production control Scheduling algorithms Genetic algorithms Global optimization Pulp industry |
title_short |
Global optimization of energy and production in process industries: a genetic algorithm application |
title_full |
Global optimization of energy and production in process industries: a genetic algorithm application |
title_fullStr |
Global optimization of energy and production in process industries: a genetic algorithm application |
title_full_unstemmed |
Global optimization of energy and production in process industries: a genetic algorithm application |
title_sort |
Global optimization of energy and production in process industries: a genetic algorithm application |
author |
Santos, Amâncio |
author_facet |
Santos, Amâncio Dourado, António |
author_role |
author |
author2 |
Dourado, António |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Santos, Amâncio Dourado, António |
dc.subject.por.fl_str_mv |
Production control Scheduling algorithms Genetic algorithms Global optimization Pulp industry |
topic |
Production control Scheduling algorithms Genetic algorithms Global optimization Pulp industry |
description |
The process industries exhibit an increasing need for efficient management of all the factors that can reduce their operating costs, leading to the necessity for a global multi-objective optimization methodology that will enable the generation of optimum strategies, fulfilling the required restrictions. In this paper, a genetic algorithm is developed and applied for the optimal assignment of all the production sections in a particular mill in the kraft pulp and paper industry, in order to optimize energy the costs and production rate changes. This system is intended to implement all programmed or forced maintenance shutdowns, as well as all the reductions imposed in production rates. |
publishDate |
1999 |
dc.date.none.fl_str_mv |
1999 |
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/10316/4115 http://hdl.handle.net/10316/4115 https://doi.org/10.1016/S0967-0661(98)00194-4 |
url |
http://hdl.handle.net/10316/4115 https://doi.org/10.1016/S0967-0661(98)00194-4 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Control Engineering Practice. 7:4 (1999) 549-554 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
aplication/PDF |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
institution |
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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1777302670939258880 |