Continuous Maintenance System for optimal scheduling based on real-time machine monitoring

Bibliographic Details
Main Author: Francisco José Oliveira Costa
Publication Date: 2018
Format: Master thesis
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: https://repositorio-aberto.up.pt/handle/10216/111125
Summary: Nowadays, the maintenance activities are the ones that most draw the attention of companies due to the increased costs of sudden machines stop, and consequently, stop the production processes. These stops are mostly caused by wear-out of its components that lead to machine breakdown and a close monitoring of the manufacturing processes need to be made. Based on this, and to increase the production line efficiency, there's a need to continuously monitor the machines' performance, and together with all the historical maintenance data, create strategies to minimize the maintenance phases and costs. These strategies may lie in the prediction of a suitable time periods to perform maintenance operations, a based on that, group a set of machines together to perform maintenance activities between day-off and day-on shifts. This represents a difficulty mainly because the increased complexity of scheduling and planning activities of a production line, being necessary to minimize the impact of maintenance activities based on failure prediction in all the already existing plan.
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spelling Continuous Maintenance System for optimal scheduling based on real-time machine monitoringEngenharia electrotécnica, electrónica e informáticaElectrical engineering, Electronic engineering, Information engineeringNowadays, the maintenance activities are the ones that most draw the attention of companies due to the increased costs of sudden machines stop, and consequently, stop the production processes. These stops are mostly caused by wear-out of its components that lead to machine breakdown and a close monitoring of the manufacturing processes need to be made. Based on this, and to increase the production line efficiency, there's a need to continuously monitor the machines' performance, and together with all the historical maintenance data, create strategies to minimize the maintenance phases and costs. These strategies may lie in the prediction of a suitable time periods to perform maintenance operations, a based on that, group a set of machines together to perform maintenance activities between day-off and day-on shifts. This represents a difficulty mainly because the increased complexity of scheduling and planning activities of a production line, being necessary to minimize the impact of maintenance activities based on failure prediction in all the already existing plan.2018-02-072018-02-07T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttps://repositorio-aberto.up.pt/handle/10216/111125TID:201904829engFrancisco José Oliveira Costainfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-27T20:10:24Zoai:repositorio-aberto.up.pt:10216/111125Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T23:53:58.334798Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Continuous Maintenance System for optimal scheduling based on real-time machine monitoring
title Continuous Maintenance System for optimal scheduling based on real-time machine monitoring
spellingShingle Continuous Maintenance System for optimal scheduling based on real-time machine monitoring
Francisco José Oliveira Costa
Engenharia electrotécnica, electrónica e informática
Electrical engineering, Electronic engineering, Information engineering
title_short Continuous Maintenance System for optimal scheduling based on real-time machine monitoring
title_full Continuous Maintenance System for optimal scheduling based on real-time machine monitoring
title_fullStr Continuous Maintenance System for optimal scheduling based on real-time machine monitoring
title_full_unstemmed Continuous Maintenance System for optimal scheduling based on real-time machine monitoring
title_sort Continuous Maintenance System for optimal scheduling based on real-time machine monitoring
author Francisco José Oliveira Costa
author_facet Francisco José Oliveira Costa
author_role author
dc.contributor.author.fl_str_mv Francisco José Oliveira Costa
dc.subject.por.fl_str_mv Engenharia electrotécnica, electrónica e informática
Electrical engineering, Electronic engineering, Information engineering
topic Engenharia electrotécnica, electrónica e informática
Electrical engineering, Electronic engineering, Information engineering
description Nowadays, the maintenance activities are the ones that most draw the attention of companies due to the increased costs of sudden machines stop, and consequently, stop the production processes. These stops are mostly caused by wear-out of its components that lead to machine breakdown and a close monitoring of the manufacturing processes need to be made. Based on this, and to increase the production line efficiency, there's a need to continuously monitor the machines' performance, and together with all the historical maintenance data, create strategies to minimize the maintenance phases and costs. These strategies may lie in the prediction of a suitable time periods to perform maintenance operations, a based on that, group a set of machines together to perform maintenance activities between day-off and day-on shifts. This represents a difficulty mainly because the increased complexity of scheduling and planning activities of a production line, being necessary to minimize the impact of maintenance activities based on failure prediction in all the already existing plan.
publishDate 2018
dc.date.none.fl_str_mv 2018-02-07
2018-02-07T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://repositorio-aberto.up.pt/handle/10216/111125
TID:201904829
url https://repositorio-aberto.up.pt/handle/10216/111125
identifier_str_mv TID:201904829
dc.language.iso.fl_str_mv eng
language eng
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instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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