Reliability centered maintenance (RCM): quantitative analysis of an induction electric furnace

Detalhes bibliográficos
Autor(a) principal: Cerveira, Diego Santos
Data de Publicação: 2015
Outros Autores: Sellitto, Miguel Afonso
Tipo de documento: Artigo
Idioma: por
Título da fonte: Revista Produção Online
Texto Completo: https://www.producaoonline.org.br/rpo/article/view/1615
Resumo: The purpose of this article is to define a maintenance strategy for an electric induction furnace, installed on a special steels Foundry. The research method was the quantitative modeling. The proposed method is based on Reliability-Centered Maintenance (RCM), applied to industrial equipment. Quantitative analysis of reliability, availability and maintainability were used as support the definition of the maintenance strategy of the equipment. For research, historical data were collected from time-to-repair (TTR) and time between failures (TBF) of the equipment under consideration. Supported by ProConf 2000 software, most appropriate distributions have been identified and modeled to TTR (lognormal) and TBF (Weibull). With the results, availability of equipment Av = 98,18% and form factor g = 1 of the Weibull distribution were calculated. It was possible to find a position for the equipment on the bathtub curve, in the maturity phase and define the best maintenance strategy for this case, the predictive maintenance. Finally, the current strategy was discussed and development suggestions were presented to this strategy.
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spelling Reliability centered maintenance (RCM): quantitative analysis of an induction electric furnaceManutenção centrada em confiabilidade (MCC): análise quantitativa de um forno elétrico a induçãoReliability. Maintainability. Availability. Maintenance Strategy. RCM.Confiabilidade. Mantenabilidade. Disponibilidade. Estratégia de Manutenção.MCC.The purpose of this article is to define a maintenance strategy for an electric induction furnace, installed on a special steels Foundry. The research method was the quantitative modeling. The proposed method is based on Reliability-Centered Maintenance (RCM), applied to industrial equipment. Quantitative analysis of reliability, availability and maintainability were used as support the definition of the maintenance strategy of the equipment. For research, historical data were collected from time-to-repair (TTR) and time between failures (TBF) of the equipment under consideration. Supported by ProConf 2000 software, most appropriate distributions have been identified and modeled to TTR (lognormal) and TBF (Weibull). With the results, availability of equipment Av = 98,18% and form factor g = 1 of the Weibull distribution were calculated. It was possible to find a position for the equipment on the bathtub curve, in the maturity phase and define the best maintenance strategy for this case, the predictive maintenance. Finally, the current strategy was discussed and development suggestions were presented to this strategy.O objetivo deste artigo é definir uma estratégia de manutenção para um forno elétrico a indução, instalado em uma fundição de aços especiais. O método de pesquisa foi a modelagem quantitativa. O método proposto é baseado na metodologia da Manutenção Centrada na Confiabilidade (MCC), aplicada a equipamento industrial. Análises quantitativas de confiabilidade, mantenabilidade e disponibilidade foram usadas como ferramentas de apoio à definição da estratégia de manutenção do equipamento. Para a pesquisa, foram coletados dados históricos de tempo até o reparo (TTR) e tempo entre falhas (TBF) do equipamento em estudo. Com o auxílio do software ProConf 2000, foram identificadas e modeladas as distribuições mais adequadas para esses tempos: lognormal (TTR) e Weibull (TBF). Com os valores obtidos foi possível calcular a disponibilidade do equipamento, Av = 98,18%, e o fator de forma g = 1 da distribuição de Weibull. Foi possível posicionar o equipamento na curva da banheira, na fase de maturidade e definir a melhor estratégia de manutenção para este caso, a preditiva. Por fim, discutiu-se a estratégia adotada atualmente pela empresa e apresentaram-se sugestões de desenvolvimento para esta estratégia.Associação Brasileira de Engenharia de Produção2015-06-15info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfaudio/mpeghttps://www.producaoonline.org.br/rpo/article/view/161510.14488/1676-1901.v15i2.1615Revista Produção Online; Vol. 15 No. 2 (2015); 405-432Revista Produção Online; v. 15 n. 2 (2015); 405-4321676-1901reponame:Revista Produção Onlineinstname:Associação Brasileira de Engenharia de Produção (ABEPRO)instacron:ABEPROporhttps://www.producaoonline.org.br/rpo/article/view/1615/1266https://www.producaoonline.org.br/rpo/article/view/1615/1267Copyright (c) 2015 Revista Produção Onlineinfo:eu-repo/semantics/openAccessCerveira, Diego SantosSellitto, Miguel Afonso2015-11-11T17:25:26Zoai:ojs.emnuvens.com.br:article/1615Revistahttp://producaoonline.org.br/rpoPUBhttps://www.producaoonline.org.br/rpo/oai||producaoonline@gmail.com1676-19011676-1901opendoar:2015-11-11T17:25:26Revista Produção Online - Associação Brasileira de Engenharia de Produção (ABEPRO)false
dc.title.none.fl_str_mv Reliability centered maintenance (RCM): quantitative analysis of an induction electric furnace
Manutenção centrada em confiabilidade (MCC): análise quantitativa de um forno elétrico a indução
title Reliability centered maintenance (RCM): quantitative analysis of an induction electric furnace
spellingShingle Reliability centered maintenance (RCM): quantitative analysis of an induction electric furnace
Cerveira, Diego Santos
Reliability. Maintainability. Availability. Maintenance Strategy. RCM.
Confiabilidade. Mantenabilidade. Disponibilidade. Estratégia de Manutenção.MCC.
title_short Reliability centered maintenance (RCM): quantitative analysis of an induction electric furnace
title_full Reliability centered maintenance (RCM): quantitative analysis of an induction electric furnace
title_fullStr Reliability centered maintenance (RCM): quantitative analysis of an induction electric furnace
title_full_unstemmed Reliability centered maintenance (RCM): quantitative analysis of an induction electric furnace
title_sort Reliability centered maintenance (RCM): quantitative analysis of an induction electric furnace
author Cerveira, Diego Santos
author_facet Cerveira, Diego Santos
Sellitto, Miguel Afonso
author_role author
author2 Sellitto, Miguel Afonso
author2_role author
dc.contributor.author.fl_str_mv Cerveira, Diego Santos
Sellitto, Miguel Afonso
dc.subject.por.fl_str_mv Reliability. Maintainability. Availability. Maintenance Strategy. RCM.
Confiabilidade. Mantenabilidade. Disponibilidade. Estratégia de Manutenção.MCC.
topic Reliability. Maintainability. Availability. Maintenance Strategy. RCM.
Confiabilidade. Mantenabilidade. Disponibilidade. Estratégia de Manutenção.MCC.
description The purpose of this article is to define a maintenance strategy for an electric induction furnace, installed on a special steels Foundry. The research method was the quantitative modeling. The proposed method is based on Reliability-Centered Maintenance (RCM), applied to industrial equipment. Quantitative analysis of reliability, availability and maintainability were used as support the definition of the maintenance strategy of the equipment. For research, historical data were collected from time-to-repair (TTR) and time between failures (TBF) of the equipment under consideration. Supported by ProConf 2000 software, most appropriate distributions have been identified and modeled to TTR (lognormal) and TBF (Weibull). With the results, availability of equipment Av = 98,18% and form factor g = 1 of the Weibull distribution were calculated. It was possible to find a position for the equipment on the bathtub curve, in the maturity phase and define the best maintenance strategy for this case, the predictive maintenance. Finally, the current strategy was discussed and development suggestions were presented to this strategy.
publishDate 2015
dc.date.none.fl_str_mv 2015-06-15
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
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status_str publishedVersion
dc.identifier.uri.fl_str_mv https://www.producaoonline.org.br/rpo/article/view/1615
10.14488/1676-1901.v15i2.1615
url https://www.producaoonline.org.br/rpo/article/view/1615
identifier_str_mv 10.14488/1676-1901.v15i2.1615
dc.language.iso.fl_str_mv por
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dc.relation.none.fl_str_mv https://www.producaoonline.org.br/rpo/article/view/1615/1266
https://www.producaoonline.org.br/rpo/article/view/1615/1267
dc.rights.driver.fl_str_mv Copyright (c) 2015 Revista Produção Online
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2015 Revista Produção Online
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
audio/mpeg
dc.publisher.none.fl_str_mv Associação Brasileira de Engenharia de Produção
publisher.none.fl_str_mv Associação Brasileira de Engenharia de Produção
dc.source.none.fl_str_mv Revista Produção Online; Vol. 15 No. 2 (2015); 405-432
Revista Produção Online; v. 15 n. 2 (2015); 405-432
1676-1901
reponame:Revista Produção Online
instname:Associação Brasileira de Engenharia de Produção (ABEPRO)
instacron:ABEPRO
instname_str Associação Brasileira de Engenharia de Produção (ABEPRO)
instacron_str ABEPRO
institution ABEPRO
reponame_str Revista Produção Online
collection Revista Produção Online
repository.name.fl_str_mv Revista Produção Online - Associação Brasileira de Engenharia de Produção (ABEPRO)
repository.mail.fl_str_mv ||producaoonline@gmail.com
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