Study of equipment maintenance at an ethanol plant under a RCM (reliability centered maintenance ) methodology
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Revista Produção Online |
Texto Completo: | https://www.producaoonline.org.br/rpo/article/view/4130 |
Resumo: | Maintenance and its management are of substantial importance in the search for competitive advantage for companies. Therefore, the reliability analysis of the equipment is a fundamental part of the definition of the most appropriate maintenance strategy. The objective of this study is to evaluate through RCM (Reliability Centered Maintenance) a life cycle curve of a sugar mil plant located in the central region of the State of São Paulo and in this way to answer if the current strategy is the most adequate for the maintenance management. The research method used was the statistical modeling applied to the times between failures (TBF) and the repair times (TTR) of all industrial equipment that paralyze the mill operation, that is, the interruption in the production line. These times were modeled by a Weibull probability distribution and the results show that among the strategies used by the plant, the intensive use of preventive maintenance without a defined criterion for various types of maintenance (emergency, preventive, corrective and predictive) during the harvest it is not suitable. As the statistical analysis pointed out that the equipment was identified in the infant mortality phase of the life cycle, it is suggested to eliminate the main cause of the failures using more appropriate and recommended approaches presented by the literature as corrective and emergency maintenance. |
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Study of equipment maintenance at an ethanol plant under a RCM (reliability centered maintenance ) methodologyEstudo da manutenção de equipamentos de uma usina de etanol sob a metodologia MCC (manutençâo centrada na confiabilidade)Maintenance. Reliability. RCM. Cane. Sugar.Manutenção. Confiabilidade. MCC. Cana. Açúcar.Maintenance and its management are of substantial importance in the search for competitive advantage for companies. Therefore, the reliability analysis of the equipment is a fundamental part of the definition of the most appropriate maintenance strategy. The objective of this study is to evaluate through RCM (Reliability Centered Maintenance) a life cycle curve of a sugar mil plant located in the central region of the State of São Paulo and in this way to answer if the current strategy is the most adequate for the maintenance management. The research method used was the statistical modeling applied to the times between failures (TBF) and the repair times (TTR) of all industrial equipment that paralyze the mill operation, that is, the interruption in the production line. These times were modeled by a Weibull probability distribution and the results show that among the strategies used by the plant, the intensive use of preventive maintenance without a defined criterion for various types of maintenance (emergency, preventive, corrective and predictive) during the harvest it is not suitable. As the statistical analysis pointed out that the equipment was identified in the infant mortality phase of the life cycle, it is suggested to eliminate the main cause of the failures using more appropriate and recommended approaches presented by the literature as corrective and emergency maintenance.A manutenção e a sua gestão possuem uma importância substancial na busca de vantagem competitiva para as empresas. Por isso, a análise de confiabilidade de seus equipamentos é parte fundamental para a definição da estratégia de manutenção mais adequada. O objetivo deste estudo é avaliar por meio da metodologia MCC (Manutenção Centrada na Confiabilidade) a curva do ciclo de vida de uma usina de cana de açúcar localizada na região central do Estado de São Paulo e desta forma responder se a atual estratégia é a mais adequada para o gerenciamento da sua manutenção. O método de pesquisa utilizado foi baseado na modelagem estatística aplicada aos tempos entre falhas (TBF) e aos tempos de reparo (TTR) de todos os equipamentos industriais que paralisam a operação da moenda, ou seja, a interrupção na linha de produção. Estes tempos foram modelados por uma distribuição de probabilidade de Weibull e os resultados mostram que dentre as estratégias utilizadas pela usina, o uso intensivo da manutenção preventiva sem um critério definido para vários tipos de manutenção (emergencial, preventiva, corretiva e preditiva) durante a safra não é adequado. Como a análise estatística identificou, historicamente estes equipamentos se encontram na fase de mortalidade infantil do ciclo de vida útil, portanto sugere-se eliminar a causa raiz das falhas utilizando estratégias mais apropriadas e recomendadas pela literatura como as manutenções corretivas e emergenciais.Associação Brasileira de Engenharia de Produção2020-12-21info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfvideo/mp4https://www.producaoonline.org.br/rpo/article/view/413010.14488/1676-1901.v20i4.4130Revista Produção Online; Vol. 20 No. 4 (2020); 1331-1353Revista Produção Online; v. 20 n. 4 (2020); 1331-13531676-1901reponame:Revista Produção Onlineinstname:Associação Brasileira de Engenharia de Produção (ABEPRO)instacron:ABEPROporhttps://www.producaoonline.org.br/rpo/article/view/4130/1991https://www.producaoonline.org.br/rpo/article/view/4130/1992Copyright (c) 2020 Revista Produção Onlineinfo:eu-repo/semantics/openAccessSilva, Elias Tadeu daPiratelli, Claudio LuisAchcar, Jorge Alberto2020-12-30T17:59:50Zoai:ojs.emnuvens.com.br:article/4130Revistahttp://producaoonline.org.br/rpoPUBhttps://www.producaoonline.org.br/rpo/oai||producaoonline@gmail.com1676-19011676-1901opendoar:2020-12-30T17:59:50Revista Produção Online - Associação Brasileira de Engenharia de Produção (ABEPRO)false |
dc.title.none.fl_str_mv |
Study of equipment maintenance at an ethanol plant under a RCM (reliability centered maintenance ) methodology Estudo da manutenção de equipamentos de uma usina de etanol sob a metodologia MCC (manutençâo centrada na confiabilidade) |
title |
Study of equipment maintenance at an ethanol plant under a RCM (reliability centered maintenance ) methodology |
spellingShingle |
Study of equipment maintenance at an ethanol plant under a RCM (reliability centered maintenance ) methodology Silva, Elias Tadeu da Maintenance. Reliability. RCM. Cane. Sugar. Manutenção. Confiabilidade. MCC. Cana. Açúcar. |
title_short |
Study of equipment maintenance at an ethanol plant under a RCM (reliability centered maintenance ) methodology |
title_full |
Study of equipment maintenance at an ethanol plant under a RCM (reliability centered maintenance ) methodology |
title_fullStr |
Study of equipment maintenance at an ethanol plant under a RCM (reliability centered maintenance ) methodology |
title_full_unstemmed |
Study of equipment maintenance at an ethanol plant under a RCM (reliability centered maintenance ) methodology |
title_sort |
Study of equipment maintenance at an ethanol plant under a RCM (reliability centered maintenance ) methodology |
author |
Silva, Elias Tadeu da |
author_facet |
Silva, Elias Tadeu da Piratelli, Claudio Luis Achcar, Jorge Alberto |
author_role |
author |
author2 |
Piratelli, Claudio Luis Achcar, Jorge Alberto |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Silva, Elias Tadeu da Piratelli, Claudio Luis Achcar, Jorge Alberto |
dc.subject.por.fl_str_mv |
Maintenance. Reliability. RCM. Cane. Sugar. Manutenção. Confiabilidade. MCC. Cana. Açúcar. |
topic |
Maintenance. Reliability. RCM. Cane. Sugar. Manutenção. Confiabilidade. MCC. Cana. Açúcar. |
description |
Maintenance and its management are of substantial importance in the search for competitive advantage for companies. Therefore, the reliability analysis of the equipment is a fundamental part of the definition of the most appropriate maintenance strategy. The objective of this study is to evaluate through RCM (Reliability Centered Maintenance) a life cycle curve of a sugar mil plant located in the central region of the State of São Paulo and in this way to answer if the current strategy is the most adequate for the maintenance management. The research method used was the statistical modeling applied to the times between failures (TBF) and the repair times (TTR) of all industrial equipment that paralyze the mill operation, that is, the interruption in the production line. These times were modeled by a Weibull probability distribution and the results show that among the strategies used by the plant, the intensive use of preventive maintenance without a defined criterion for various types of maintenance (emergency, preventive, corrective and predictive) during the harvest it is not suitable. As the statistical analysis pointed out that the equipment was identified in the infant mortality phase of the life cycle, it is suggested to eliminate the main cause of the failures using more appropriate and recommended approaches presented by the literature as corrective and emergency maintenance. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-12-21 |
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/4130 10.14488/1676-1901.v20i4.4130 |
url |
https://www.producaoonline.org.br/rpo/article/view/4130 |
identifier_str_mv |
10.14488/1676-1901.v20i4.4130 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://www.producaoonline.org.br/rpo/article/view/4130/1991 https://www.producaoonline.org.br/rpo/article/view/4130/1992 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2020 Revista Produção Online info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2020 Revista Produção Online |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf video/mp4 |
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. 20 No. 4 (2020); 1331-1353 Revista Produção Online; v. 20 n. 4 (2020); 1331-1353 1676-1901 reponame:Revista Produção Online instname:Associação Brasileira de Engenharia de Produção (ABEPRO) instacron:ABEPRO |
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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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