Maintenance routine simulation with data-driven approaches applied to naval and shipping sectors

Detalhes bibliográficos
Autor(a) principal: Barbosa, Andre
Data de Publicação: 2022
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Institucional da Produção Científica da Marinha do Brasil (RI-MB)
Texto Completo: https://www.repositorio.mar.mil.br/handle/ripcmb/845689
Resumo: Condition Based Maintenance (CBM) has been successfully adopted in decades by many types of industry, however the naval and shipping sectors have shown low acceptability, mainly because lack of or little evidence of value for money (Shorten, 2013; Informa Engage, 2020). Although there is extensive literature about CBM and much research has been expended on smart technologies and digitalization in the last decade, the implementation of data-driven maintenance techniques still presents some challenges to be overcome. This work explores these challenges and propose a systematic management plan for smart modelling and simulation of maintenance routine of naval and shipping sectors.
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spelling Barbosa, AndreDr Alireza Mousavi2023-01-10T11:56:57Z2023-01-10T11:56:57Z2022https://www.repositorio.mar.mil.br/handle/ripcmb/845689Condition Based Maintenance (CBM) has been successfully adopted in decades by many types of industry, however the naval and shipping sectors have shown low acceptability, mainly because lack of or little evidence of value for money (Shorten, 2013; Informa Engage, 2020). Although there is extensive literature about CBM and much research has been expended on smart technologies and digitalization in the last decade, the implementation of data-driven maintenance techniques still presents some challenges to be overcome. This work explores these challenges and propose a systematic management plan for smart modelling and simulation of maintenance routine of naval and shipping sectors.Condition Based Maintenance (CBM) has been successfully adopted in decades by many types of industry, however the naval and shipping sectors have shown low acceptability, mainly because lack of or little evidence of value for money (Shorten, 2013; Informa Engage, 2020). Although there is extensive literature about CBM and much research has been expended on smart technologies and digitalization in the last decade, the implementation of data-driven maintenance techniques still presents some challenges to be overcome. This work explores these challenges and propose a systematic management plan for smart modelling and simulation of maintenance routine of naval and shipping sectors.Brunel University LondonEngenharia NavalEngenharia NavalShip Maintenancedata-driven maintenanceDiscrete Event Simulationworkforce demand smoothingmaintenance scheudulingCondition Based MaintenanceMaintenance routine simulation with data-driven approaches applied to naval and shipping sectorsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/openAccessengreponame:Repositório Institucional da Produção Científica da Marinha do Brasil (RI-MB)instname:Marinha do Brasil (MB)instacron:MBORIGINALMaintenance routine simulation with datadriven approaches applied to naval and shipping sectors .pdfMaintenance routine simulation with datadriven approaches applied to naval and shipping sectors 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dc.title.pt_BR.fl_str_mv Maintenance routine simulation with data-driven approaches applied to naval and shipping sectors
title Maintenance routine simulation with data-driven approaches applied to naval and shipping sectors
spellingShingle Maintenance routine simulation with data-driven approaches applied to naval and shipping sectors
Barbosa, Andre
Engenharia Naval
Ship Maintenance
data-driven maintenance
Discrete Event Simulation
workforce demand smoothing
maintenance scheuduling
Condition Based Maintenance
Engenharia Naval
title_short Maintenance routine simulation with data-driven approaches applied to naval and shipping sectors
title_full Maintenance routine simulation with data-driven approaches applied to naval and shipping sectors
title_fullStr Maintenance routine simulation with data-driven approaches applied to naval and shipping sectors
title_full_unstemmed Maintenance routine simulation with data-driven approaches applied to naval and shipping sectors
title_sort Maintenance routine simulation with data-driven approaches applied to naval and shipping sectors
author Barbosa, Andre
author_facet Barbosa, Andre
author_role author
dc.contributor.author.fl_str_mv Barbosa, Andre
dc.contributor.advisor1.fl_str_mv Dr Alireza Mousavi
contributor_str_mv Dr Alireza Mousavi
dc.subject.por.fl_str_mv Engenharia Naval
Ship Maintenance
data-driven maintenance
Discrete Event Simulation
workforce demand smoothing
maintenance scheuduling
Condition Based Maintenance
topic Engenharia Naval
Ship Maintenance
data-driven maintenance
Discrete Event Simulation
workforce demand smoothing
maintenance scheuduling
Condition Based Maintenance
Engenharia Naval
dc.subject.dgpm.pt_BR.fl_str_mv Engenharia Naval
description Condition Based Maintenance (CBM) has been successfully adopted in decades by many types of industry, however the naval and shipping sectors have shown low acceptability, mainly because lack of or little evidence of value for money (Shorten, 2013; Informa Engage, 2020). Although there is extensive literature about CBM and much research has been expended on smart technologies and digitalization in the last decade, the implementation of data-driven maintenance techniques still presents some challenges to be overcome. This work explores these challenges and propose a systematic management plan for smart modelling and simulation of maintenance routine of naval and shipping sectors.
publishDate 2022
dc.date.issued.fl_str_mv 2022
dc.date.accessioned.fl_str_mv 2023-01-10T11:56:57Z
dc.date.available.fl_str_mv 2023-01-10T11:56:57Z
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://www.repositorio.mar.mil.br/handle/ripcmb/845689
url https://www.repositorio.mar.mil.br/handle/ripcmb/845689
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Brunel University London
publisher.none.fl_str_mv Brunel University London
dc.source.none.fl_str_mv reponame:Repositório Institucional da Produção Científica da Marinha do Brasil (RI-MB)
instname:Marinha do Brasil (MB)
instacron:MB
instname_str Marinha do Brasil (MB)
instacron_str MB
institution MB
reponame_str Repositório Institucional da Produção Científica da Marinha do Brasil (RI-MB)
collection Repositório Institucional da Produção Científica da Marinha do Brasil (RI-MB)
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