PROPOSAL FOR OEE (OVERALL EQUIPMENT EFFECTIVENESS) INDICATOR DEPLOYMENT IN A BEVERAGE PLANT
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Brazilian Journal of Operations & Production Management (Online) |
Texto Completo: | https://bjopm.org.br/bjopm/article/view/V9N1A5 |
Resumo: | The tough competitiveness seen in the beverage industry, especially in emerging segments like isotonic drinks and iced teas, requires companies to seek competitive advantages to stay or increase their participation in the consumer market. In this sense reducing wastes and assuring compliance in production process are identified as key variables in this industry. This work presents the application of the OEE (Overall Equipment Effectiveness) methodology in the production line of a company which fills beverage in PET bottles, in order to assess the plant operational performance. In this direction primary data were collected and the line downtimes were stratified, and the indicators used by the plant were confronted with the dimensions that make up the OEE indicator (Availability, Performance and Quality) in order to assess the possible behaviors and correlations. As a result, it was noted that the longest downtimes were caused by downtimes of the inkjet printer and the filler, and there was a strong correlation between the indices of the OEE and the existing indicators in the plant despite the bias (ε). |
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Brazilian Journal of Operations & Production Management (Online) |
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PROPOSAL FOR OEE (OVERALL EQUIPMENT EFFECTIVENESS) INDICATOR DEPLOYMENT IN A BEVERAGE PLANTOverall Equipment Effectiveness – OEEbeverage industrylean thinkingoperational performance indicatorsThe tough competitiveness seen in the beverage industry, especially in emerging segments like isotonic drinks and iced teas, requires companies to seek competitive advantages to stay or increase their participation in the consumer market. In this sense reducing wastes and assuring compliance in production process are identified as key variables in this industry. This work presents the application of the OEE (Overall Equipment Effectiveness) methodology in the production line of a company which fills beverage in PET bottles, in order to assess the plant operational performance. In this direction primary data were collected and the line downtimes were stratified, and the indicators used by the plant were confronted with the dimensions that make up the OEE indicator (Availability, Performance and Quality) in order to assess the possible behaviors and correlations. As a result, it was noted that the longest downtimes were caused by downtimes of the inkjet printer and the filler, and there was a strong correlation between the indices of the OEE and the existing indicators in the plant despite the bias (ε).Brazilian Association for Industrial Engineering and Operations Management (ABEPRO)2013-05-14info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPeer-reviewed ArticleField research; collection and analysis of primary dataapplication/pdfhttps://bjopm.org.br/bjopm/article/view/V9N1A5Brazilian Journal of Operations & Production Management; Vol. 9 No. 1 (2012): July, 2012; 71-842237-8960reponame:Brazilian Journal of Operations & Production Management (Online)instname:Associação Brasileira de Engenharia de Produção (ABEPRO)instacron:ABEPROenghttps://bjopm.org.br/bjopm/article/view/V9N1A5/V9N1A5Araujo, Fernando Oliveira deCastro, Fabiana Pereirainfo:eu-repo/semantics/openAccess2019-04-04T07:28:36Zoai:ojs.bjopm.org.br:article/132Revistahttps://bjopm.org.br/bjopmONGhttps://bjopm.org.br/bjopm/oaibjopm.journal@gmail.com2237-89601679-8171opendoar:2023-03-13T09:45:05.355043Brazilian Journal of Operations & Production Management (Online) - Associação Brasileira de Engenharia de Produção (ABEPRO)false |
dc.title.none.fl_str_mv |
PROPOSAL FOR OEE (OVERALL EQUIPMENT EFFECTIVENESS) INDICATOR DEPLOYMENT IN A BEVERAGE PLANT |
title |
PROPOSAL FOR OEE (OVERALL EQUIPMENT EFFECTIVENESS) INDICATOR DEPLOYMENT IN A BEVERAGE PLANT |
spellingShingle |
PROPOSAL FOR OEE (OVERALL EQUIPMENT EFFECTIVENESS) INDICATOR DEPLOYMENT IN A BEVERAGE PLANT Araujo, Fernando Oliveira de Overall Equipment Effectiveness – OEE beverage industry lean thinking operational performance indicators |
title_short |
PROPOSAL FOR OEE (OVERALL EQUIPMENT EFFECTIVENESS) INDICATOR DEPLOYMENT IN A BEVERAGE PLANT |
title_full |
PROPOSAL FOR OEE (OVERALL EQUIPMENT EFFECTIVENESS) INDICATOR DEPLOYMENT IN A BEVERAGE PLANT |
title_fullStr |
PROPOSAL FOR OEE (OVERALL EQUIPMENT EFFECTIVENESS) INDICATOR DEPLOYMENT IN A BEVERAGE PLANT |
title_full_unstemmed |
PROPOSAL FOR OEE (OVERALL EQUIPMENT EFFECTIVENESS) INDICATOR DEPLOYMENT IN A BEVERAGE PLANT |
title_sort |
PROPOSAL FOR OEE (OVERALL EQUIPMENT EFFECTIVENESS) INDICATOR DEPLOYMENT IN A BEVERAGE PLANT |
author |
Araujo, Fernando Oliveira de |
author_facet |
Araujo, Fernando Oliveira de Castro, Fabiana Pereira |
author_role |
author |
author2 |
Castro, Fabiana Pereira |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Araujo, Fernando Oliveira de Castro, Fabiana Pereira |
dc.subject.por.fl_str_mv |
Overall Equipment Effectiveness – OEE beverage industry lean thinking operational performance indicators |
topic |
Overall Equipment Effectiveness – OEE beverage industry lean thinking operational performance indicators |
description |
The tough competitiveness seen in the beverage industry, especially in emerging segments like isotonic drinks and iced teas, requires companies to seek competitive advantages to stay or increase their participation in the consumer market. In this sense reducing wastes and assuring compliance in production process are identified as key variables in this industry. This work presents the application of the OEE (Overall Equipment Effectiveness) methodology in the production line of a company which fills beverage in PET bottles, in order to assess the plant operational performance. In this direction primary data were collected and the line downtimes were stratified, and the indicators used by the plant were confronted with the dimensions that make up the OEE indicator (Availability, Performance and Quality) in order to assess the possible behaviors and correlations. As a result, it was noted that the longest downtimes were caused by downtimes of the inkjet printer and the filler, and there was a strong correlation between the indices of the OEE and the existing indicators in the plant despite the bias (ε). |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-05-14 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Field research; collection and analysis of primary data |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://bjopm.org.br/bjopm/article/view/V9N1A5 |
url |
https://bjopm.org.br/bjopm/article/view/V9N1A5 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://bjopm.org.br/bjopm/article/view/V9N1A5/V9N1A5 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Brazilian Association for Industrial Engineering and Operations Management (ABEPRO) |
publisher.none.fl_str_mv |
Brazilian Association for Industrial Engineering and Operations Management (ABEPRO) |
dc.source.none.fl_str_mv |
Brazilian Journal of Operations & Production Management; Vol. 9 No. 1 (2012): July, 2012; 71-84 2237-8960 reponame:Brazilian Journal of Operations & Production Management (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 |
Brazilian Journal of Operations & Production Management (Online) |
collection |
Brazilian Journal of Operations & Production Management (Online) |
repository.name.fl_str_mv |
Brazilian Journal of Operations & Production Management (Online) - Associação Brasileira de Engenharia de Produção (ABEPRO) |
repository.mail.fl_str_mv |
bjopm.journal@gmail.com |
_version_ |
1797051460023746560 |