Reliability centered maintenance (RCM): quantitative analysis of an induction electric furnace
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Data de Publicação: | 2015 |
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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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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 |
format |
article |
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 |
language |
por |
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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1761536949315698688 |