Strategic formulation of industrial maintenance based on equipment reliability in a sugar and ethanol production plant

Detalhes bibliográficos
Autor(a) principal: Silva, Elias Tadeu da
Data de Publicação: 2020
Outros Autores: achcar, jorge alberto, Piratelli, Claudio Luis
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Independent Journal of Management & Production
Texto Completo: http://www.ijmp.jor.br/index.php/ijmp/article/view/1145
Resumo: Maintenance and management have substantial importance in the search of the company’s competitive advantages. In this direction, a reliability analysis of  equipments is very important for the definition of the most suitable maintenance strategy. The main goal of this paper is to assess the reliability-centered maintenance of the industrial reliability curve of a sugar cane department of an industry located in São Paulo State, Brazil. The proposed research method was based on the application of existing statistical modeling for the times between failures (TBF) of all reported equipment failures or the interruption times in the production line. These times were modeled by standard lifetime probability distributions as log-normal and Weibull distributions. The results showed that the company's strategy for preventive maintenance during the off-season is not adequate and the statistical analysis also identified important factors that affect the company's maintenance strategy. These results could be of great interest for the company and for engineering applications in general.
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spelling Strategic formulation of industrial maintenance based on equipment reliability in a sugar and ethanol production plantmaintenancemanagementreliabilitylifetimesugar-caneMaintenance and management have substantial importance in the search of the company’s competitive advantages. In this direction, a reliability analysis of  equipments is very important for the definition of the most suitable maintenance strategy. The main goal of this paper is to assess the reliability-centered maintenance of the industrial reliability curve of a sugar cane department of an industry located in São Paulo State, Brazil. The proposed research method was based on the application of existing statistical modeling for the times between failures (TBF) of all reported equipment failures or the interruption times in the production line. These times were modeled by standard lifetime probability distributions as log-normal and Weibull distributions. The results showed that the company's strategy for preventive maintenance during the off-season is not adequate and the statistical analysis also identified important factors that affect the company's maintenance strategy. These results could be of great interest for the company and for engineering applications in general.Independent2020-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmlhttp://www.ijmp.jor.br/index.php/ijmp/article/view/114510.14807/ijmp.v11i7.1145Independent Journal of Management & Production; Vol. 11 No. 7 (2020): Independent Journal of Management & Production; 2592-26122236-269X2236-269Xreponame:Independent Journal of Management & Productioninstname:Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)instacron:IJM&Penghttp://www.ijmp.jor.br/index.php/ijmp/article/view/1145/1490http://www.ijmp.jor.br/index.php/ijmp/article/view/1145/1491Copyright (c) 2020 jorge alberto achcarhttp://creativecommons.org/licenses/by-nc-sa/4.0info:eu-repo/semantics/openAccessSilva, Elias Tadeu daachcar, jorge albertoPiratelli, Claudio Luis2020-12-01T04:01:33Zoai:www.ijmp.jor.br:article/1145Revistahttp://www.ijmp.jor.br/PUBhttp://www.ijmp.jor.br/index.php/ijmp/oaiijmp@ijmp.jor.br||paulo@paulorodrigues.pro.br||2236-269X2236-269Xopendoar:2020-12-01T04:01:33Independent Journal of Management & Production - Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)false
dc.title.none.fl_str_mv Strategic formulation of industrial maintenance based on equipment reliability in a sugar and ethanol production plant
title Strategic formulation of industrial maintenance based on equipment reliability in a sugar and ethanol production plant
spellingShingle Strategic formulation of industrial maintenance based on equipment reliability in a sugar and ethanol production plant
Silva, Elias Tadeu da
maintenance
management
reliability
lifetime
sugar-cane
title_short Strategic formulation of industrial maintenance based on equipment reliability in a sugar and ethanol production plant
title_full Strategic formulation of industrial maintenance based on equipment reliability in a sugar and ethanol production plant
title_fullStr Strategic formulation of industrial maintenance based on equipment reliability in a sugar and ethanol production plant
title_full_unstemmed Strategic formulation of industrial maintenance based on equipment reliability in a sugar and ethanol production plant
title_sort Strategic formulation of industrial maintenance based on equipment reliability in a sugar and ethanol production plant
author Silva, Elias Tadeu da
author_facet Silva, Elias Tadeu da
achcar, jorge alberto
Piratelli, Claudio Luis
author_role author
author2 achcar, jorge alberto
Piratelli, Claudio Luis
author2_role author
author
dc.contributor.author.fl_str_mv Silva, Elias Tadeu da
achcar, jorge alberto
Piratelli, Claudio Luis
dc.subject.por.fl_str_mv maintenance
management
reliability
lifetime
sugar-cane
topic maintenance
management
reliability
lifetime
sugar-cane
description Maintenance and management have substantial importance in the search of the company’s competitive advantages. In this direction, a reliability analysis of  equipments is very important for the definition of the most suitable maintenance strategy. The main goal of this paper is to assess the reliability-centered maintenance of the industrial reliability curve of a sugar cane department of an industry located in São Paulo State, Brazil. The proposed research method was based on the application of existing statistical modeling for the times between failures (TBF) of all reported equipment failures or the interruption times in the production line. These times were modeled by standard lifetime probability distributions as log-normal and Weibull distributions. The results showed that the company's strategy for preventive maintenance during the off-season is not adequate and the statistical analysis also identified important factors that affect the company's maintenance strategy. These results could be of great interest for the company and for engineering applications in general.
publishDate 2020
dc.date.none.fl_str_mv 2020-12-01
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 http://www.ijmp.jor.br/index.php/ijmp/article/view/1145
10.14807/ijmp.v11i7.1145
url http://www.ijmp.jor.br/index.php/ijmp/article/view/1145
identifier_str_mv 10.14807/ijmp.v11i7.1145
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://www.ijmp.jor.br/index.php/ijmp/article/view/1145/1490
http://www.ijmp.jor.br/index.php/ijmp/article/view/1145/1491
dc.rights.driver.fl_str_mv Copyright (c) 2020 jorge alberto achcar
http://creativecommons.org/licenses/by-nc-sa/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 jorge alberto achcar
http://creativecommons.org/licenses/by-nc-sa/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
text/html
dc.publisher.none.fl_str_mv Independent
publisher.none.fl_str_mv Independent
dc.source.none.fl_str_mv Independent Journal of Management & Production; Vol. 11 No. 7 (2020): Independent Journal of Management & Production; 2592-2612
2236-269X
2236-269X
reponame:Independent Journal of Management & Production
instname:Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)
instacron:IJM&P
instname_str Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)
instacron_str IJM&P
institution IJM&P
reponame_str Independent Journal of Management & Production
collection Independent Journal of Management & Production
repository.name.fl_str_mv Independent Journal of Management & Production - Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)
repository.mail.fl_str_mv ijmp@ijmp.jor.br||paulo@paulorodrigues.pro.br||
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