Reliability modeling and analysis of the polymer transformation process of a sanitising industry
The sanitizing industry has had a growing importance in the Brazilian industrial sector. One of the most important steps for most of the sanitizing industries is the production processes of bottles. The production of these bottles is usually carried out through polymer processing methods such as ext...
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Format: | Article |
Language: | English |
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Universidade Federal de Santa Catarina
2015-02-01
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Series: | Revista Produção Online |
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Online Access: | http://producaoonline.org.br/rpo/article/view/1882 |
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author | Murilo Leite Alcantara Isabel Sartori Marcelo Embiruçu |
author_facet | Murilo Leite Alcantara Isabel Sartori Marcelo Embiruçu |
author_sort | Murilo Leite Alcantara |
collection | DOAJ |
description | The sanitizing industry has had a growing importance in the Brazilian industrial sector. One of the most important steps for most of the sanitizing industries is the production processes of bottles. The production of these bottles is usually carried out through polymer processing methods such as extrusion and blow molding. In order to increase the industrial production safely, it is necessary to use methods to reduce the occurrence of failures. The study of production systems reliability can be used as a tool to understand and predict the behavior of industrial units’ failures. This paper studies the reliability behavior of a sanitizing industry with the focus on the bottles production. This study was based on three modeling methodologies: Global Life Distribution (GLD), Composite Life Distribution (CDL) and Optimum Composite Life Distribution (OCDL). The distributions used were: exponential, Weibull, normal, lognormal, q-exponential and q- Weibull. The reliability behaviors found by these three methodologies were compared with the reliability obtained experimentally. The OCLD methodology overcomes the limitations of both GLD and CLD methodologies, but inherits their strengths. The OCDL methodology resulted in a good representation of the subsystems as well as the overall system behavior. It is also carried out in this paper an analysis of the contribution of the subsystems to the overall probability of system failure. The outgoing profit was calculated and it is a potential indicative of financial benefit that can be obtained with possible future developments of the study. |
first_indexed | 2024-12-20T16:32:24Z |
format | Article |
id | doaj.art-6d25e9c3eb5a421fa5d10ba1e553d3d9 |
institution | Directory Open Access Journal |
issn | 1676-1901 |
language | English |
last_indexed | 2024-12-20T16:32:24Z |
publishDate | 2015-02-01 |
publisher | Universidade Federal de Santa Catarina |
record_format | Article |
series | Revista Produção Online |
spelling | doaj.art-6d25e9c3eb5a421fa5d10ba1e553d3d92022-12-21T19:33:15ZengUniversidade Federal de Santa CatarinaRevista Produção Online1676-19012015-02-0115134537410.14488/1676-1901.v15i1.1882676Reliability modeling and analysis of the polymer transformation process of a sanitising industryMurilo Leite Alcantara0Isabel Sartori1Marcelo Embiruçu2Universidade Federal da Bahia (UFBA) / Programa de Engenharia QuímicaUniversidade Federal da Bahia (UFBA) / Programa de Engenharia Industrial (PEI)Universidade Federal da Bahia (UFBA) / Programa de Engenharia Industrial (PEI)The sanitizing industry has had a growing importance in the Brazilian industrial sector. One of the most important steps for most of the sanitizing industries is the production processes of bottles. The production of these bottles is usually carried out through polymer processing methods such as extrusion and blow molding. In order to increase the industrial production safely, it is necessary to use methods to reduce the occurrence of failures. The study of production systems reliability can be used as a tool to understand and predict the behavior of industrial units’ failures. This paper studies the reliability behavior of a sanitizing industry with the focus on the bottles production. This study was based on three modeling methodologies: Global Life Distribution (GLD), Composite Life Distribution (CDL) and Optimum Composite Life Distribution (OCDL). The distributions used were: exponential, Weibull, normal, lognormal, q-exponential and q- Weibull. The reliability behaviors found by these three methodologies were compared with the reliability obtained experimentally. The OCLD methodology overcomes the limitations of both GLD and CLD methodologies, but inherits their strengths. The OCDL methodology resulted in a good representation of the subsystems as well as the overall system behavior. It is also carried out in this paper an analysis of the contribution of the subsystems to the overall probability of system failure. The outgoing profit was calculated and it is a potential indicative of financial benefit that can be obtained with possible future developments of the study.http://producaoonline.org.br/rpo/article/view/1882Confiabilidade. OCLD. Polímero. Extrusão. Moldagem por sopro. |
spellingShingle | Murilo Leite Alcantara Isabel Sartori Marcelo Embiruçu Reliability modeling and analysis of the polymer transformation process of a sanitising industry Revista Produção Online Confiabilidade. OCLD. Polímero. Extrusão. Moldagem por sopro. |
title | Reliability modeling and analysis of the polymer transformation process of a sanitising industry |
title_full | Reliability modeling and analysis of the polymer transformation process of a sanitising industry |
title_fullStr | Reliability modeling and analysis of the polymer transformation process of a sanitising industry |
title_full_unstemmed | Reliability modeling and analysis of the polymer transformation process of a sanitising industry |
title_short | Reliability modeling and analysis of the polymer transformation process of a sanitising industry |
title_sort | reliability modeling and analysis of the polymer transformation process of a sanitising industry |
topic | Confiabilidade. OCLD. Polímero. Extrusão. Moldagem por sopro. |
url | http://producaoonline.org.br/rpo/article/view/1882 |
work_keys_str_mv | AT muriloleitealcantara reliabilitymodelingandanalysisofthepolymertransformationprocessofasanitisingindustry AT isabelsartori reliabilitymodelingandanalysisofthepolymertransformationprocessofasanitisingindustry AT marceloembirucu reliabilitymodelingandanalysisofthepolymertransformationprocessofasanitisingindustry |