Selecting the best tools and framework to evaluate equipment malfunctions and improve the OEE in the cork industry

Total Productive Maintenance (TPM) has gain increasing relevance into the companies, which can help in increasing the productivity due to less equipment stoppages. The unavailability of the equipment directly affects the company's performance, which can be measured through the OEE. However, the...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Paulo Marinho, Daniel Pimentel, Rafaela Casais, Francisco Silva, José Carlos Sá, Luís Pinto Ferreira
Formato: article
Lenguaje:EN
Publicado: University of Novi Sad, Faculty of Technical Sciences 2021
Materias:
tpm
sme
Acceso en línea:http://doi.org/10.24867/IJIEM-2021-4-295
https://doaj.org/article/9e6207803d32490d8aac4a07a7fd0f54
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:9e6207803d32490d8aac4a07a7fd0f54
record_format dspace
spelling oai:doaj.org-article:9e6207803d32490d8aac4a07a7fd0f542021-12-01T22:06:37ZSelecting the best tools and framework to evaluate equipment malfunctions and improve the OEE in the cork industry2217-26612683-345Xhttp://doi.org/10.24867/IJIEM-2021-4-295https://doaj.org/article/9e6207803d32490d8aac4a07a7fd0f542021-12-01T00:00:00Zhttp://www.ijiemjournal.uns.ac.rs/images/journal/volume12/IJIEM_295.pdfhttps://doaj.org/toc/2217-2661https://doaj.org/toc/2683-345XTotal Productive Maintenance (TPM) has gain increasing relevance into the companies, which can help in increasing the productivity due to less equipment stoppages. The unavailability of the equipment directly affects the company's performance, which can be measured through the OEE. However, the organization of SMEs is not always properly organized, to have a concrete sense of the losses that can accumulate due to equipment unavailability. This work aimed to develop a framework capable of responding effectively in the beginning of the implementation process of a TPM system. A novel sequence of application of tools was created, both linked to lean and quality, which, when applied in the correct sequence, allow solving some persistent problems in a few steps, resulting in significant gains for companies. The model was applied to a company in the cork industry, and it was possible to verify its effectiveness.Paulo MarinhoDaniel PimentelRafaela CasaisFrancisco SilvaJosé Carlos SáLuís Pinto FerreiraUniversity of Novi Sad, Faculty of Technical Sciencesarticlemaintenancetpmtpm pillarspareto’s chartishikawafive whyscork industrysmeIndustrial engineering. Management engineeringT55.4-60.8ENInternational Journal of Industrial Engineering and Management, Vol 12, Iss 4, Pp 286-298 (2021)
institution DOAJ
collection DOAJ
language EN
topic maintenance
tpm
tpm pillars
pareto’s chart
ishikawa
five whys
cork industry
sme
Industrial engineering. Management engineering
T55.4-60.8
spellingShingle maintenance
tpm
tpm pillars
pareto’s chart
ishikawa
five whys
cork industry
sme
Industrial engineering. Management engineering
T55.4-60.8
Paulo Marinho
Daniel Pimentel
Rafaela Casais
Francisco Silva
José Carlos Sá
Luís Pinto Ferreira
Selecting the best tools and framework to evaluate equipment malfunctions and improve the OEE in the cork industry
description Total Productive Maintenance (TPM) has gain increasing relevance into the companies, which can help in increasing the productivity due to less equipment stoppages. The unavailability of the equipment directly affects the company's performance, which can be measured through the OEE. However, the organization of SMEs is not always properly organized, to have a concrete sense of the losses that can accumulate due to equipment unavailability. This work aimed to develop a framework capable of responding effectively in the beginning of the implementation process of a TPM system. A novel sequence of application of tools was created, both linked to lean and quality, which, when applied in the correct sequence, allow solving some persistent problems in a few steps, resulting in significant gains for companies. The model was applied to a company in the cork industry, and it was possible to verify its effectiveness.
format article
author Paulo Marinho
Daniel Pimentel
Rafaela Casais
Francisco Silva
José Carlos Sá
Luís Pinto Ferreira
author_facet Paulo Marinho
Daniel Pimentel
Rafaela Casais
Francisco Silva
José Carlos Sá
Luís Pinto Ferreira
author_sort Paulo Marinho
title Selecting the best tools and framework to evaluate equipment malfunctions and improve the OEE in the cork industry
title_short Selecting the best tools and framework to evaluate equipment malfunctions and improve the OEE in the cork industry
title_full Selecting the best tools and framework to evaluate equipment malfunctions and improve the OEE in the cork industry
title_fullStr Selecting the best tools and framework to evaluate equipment malfunctions and improve the OEE in the cork industry
title_full_unstemmed Selecting the best tools and framework to evaluate equipment malfunctions and improve the OEE in the cork industry
title_sort selecting the best tools and framework to evaluate equipment malfunctions and improve the oee in the cork industry
publisher University of Novi Sad, Faculty of Technical Sciences
publishDate 2021
url http://doi.org/10.24867/IJIEM-2021-4-295
https://doaj.org/article/9e6207803d32490d8aac4a07a7fd0f54
work_keys_str_mv AT paulomarinho selectingthebesttoolsandframeworktoevaluateequipmentmalfunctionsandimprovetheoeeinthecorkindustry
AT danielpimentel selectingthebesttoolsandframeworktoevaluateequipmentmalfunctionsandimprovetheoeeinthecorkindustry
AT rafaelacasais selectingthebesttoolsandframeworktoevaluateequipmentmalfunctionsandimprovetheoeeinthecorkindustry
AT franciscosilva selectingthebesttoolsandframeworktoevaluateequipmentmalfunctionsandimprovetheoeeinthecorkindustry
AT josecarlossa selectingthebesttoolsandframeworktoevaluateequipmentmalfunctionsandimprovetheoeeinthecorkindustry
AT luispintoferreira selectingthebesttoolsandframeworktoevaluateequipmentmalfunctionsandimprovetheoeeinthecorkindustry
_version_ 1718404177345904640