An optimization model for the operations of steam production in industrial boilers

Detalhes bibliográficos
Autor(a) principal: Rocco,Cleber Damião
Data de Publicação: 2012
Outros Autores: Morabito,Reinaldo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Gestão & Produção
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-530X2012000200004
Resumo: In this study, a mixed integer linear programming model is presented to support some of the key decisions in the steam production system with industrial boilers. The model approaches the fuel management decisions (fuel replenishment and its inventory control), boiler operational decisions (start-up, warm-up, and shutdown operations), and which boiler should produce steam. The model adjustments and its validation were carried out through a case study in a large food industry. In face of the good outcomes achieved in applying the model and the lack of optimization tools to support the decisions in this system, the proposed model is a suitable alternative to support some of the key decisions in the system of steam production with multiple industrial boilers.
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spelling An optimization model for the operations of steam production in industrial boilersboiler schedulingsteam productionfood industrymixed integer programmingproduction schedulingIn this study, a mixed integer linear programming model is presented to support some of the key decisions in the steam production system with industrial boilers. The model approaches the fuel management decisions (fuel replenishment and its inventory control), boiler operational decisions (start-up, warm-up, and shutdown operations), and which boiler should produce steam. The model adjustments and its validation were carried out through a case study in a large food industry. In face of the good outcomes achieved in applying the model and the lack of optimization tools to support the decisions in this system, the proposed model is a suitable alternative to support some of the key decisions in the system of steam production with multiple industrial boilers.Universidade Federal de São Carlos2012-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-530X2012000200004Gestão & Produção v.19 n.2 2012reponame:Gestão & Produçãoinstname:Universidade Federal de São Carlos (UFSCAR)instacron:UFSCAR10.1590/S0104-530X2012000200004info:eu-repo/semantics/openAccessRocco,Cleber DamiãoMorabito,Reinaldoeng2012-06-25T00:00:00Zoai:scielo:S0104-530X2012000200004Revistahttps://www.gestaoeproducao.com/PUBhttps://old.scielo.br/oai/scielo-oai.phpgp@dep.ufscar.br||revistagestaoemanalise@unichristus.edu.br1806-96490104-530Xopendoar:2012-06-25T00:00Gestão & Produção - Universidade Federal de São Carlos (UFSCAR)false
dc.title.none.fl_str_mv An optimization model for the operations of steam production in industrial boilers
title An optimization model for the operations of steam production in industrial boilers
spellingShingle An optimization model for the operations of steam production in industrial boilers
Rocco,Cleber Damião
boiler scheduling
steam production
food industry
mixed integer programming
production scheduling
title_short An optimization model for the operations of steam production in industrial boilers
title_full An optimization model for the operations of steam production in industrial boilers
title_fullStr An optimization model for the operations of steam production in industrial boilers
title_full_unstemmed An optimization model for the operations of steam production in industrial boilers
title_sort An optimization model for the operations of steam production in industrial boilers
author Rocco,Cleber Damião
author_facet Rocco,Cleber Damião
Morabito,Reinaldo
author_role author
author2 Morabito,Reinaldo
author2_role author
dc.contributor.author.fl_str_mv Rocco,Cleber Damião
Morabito,Reinaldo
dc.subject.por.fl_str_mv boiler scheduling
steam production
food industry
mixed integer programming
production scheduling
topic boiler scheduling
steam production
food industry
mixed integer programming
production scheduling
description In this study, a mixed integer linear programming model is presented to support some of the key decisions in the steam production system with industrial boilers. The model approaches the fuel management decisions (fuel replenishment and its inventory control), boiler operational decisions (start-up, warm-up, and shutdown operations), and which boiler should produce steam. The model adjustments and its validation were carried out through a case study in a large food industry. In face of the good outcomes achieved in applying the model and the lack of optimization tools to support the decisions in this system, the proposed model is a suitable alternative to support some of the key decisions in the system of steam production with multiple industrial boilers.
publishDate 2012
dc.date.none.fl_str_mv 2012-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-530X2012000200004
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-530X2012000200004
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0104-530X2012000200004
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Universidade Federal de São Carlos
publisher.none.fl_str_mv Universidade Federal de São Carlos
dc.source.none.fl_str_mv Gestão & Produção v.19 n.2 2012
reponame:Gestão & Produção
instname:Universidade Federal de São Carlos (UFSCAR)
instacron:UFSCAR
instname_str Universidade Federal de São Carlos (UFSCAR)
instacron_str UFSCAR
institution UFSCAR
reponame_str Gestão & Produção
collection Gestão & Produção
repository.name.fl_str_mv Gestão & Produção - Universidade Federal de São Carlos (UFSCAR)
repository.mail.fl_str_mv gp@dep.ufscar.br||revistagestaoemanalise@unichristus.edu.br
_version_ 1750118203987591168

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