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

Detalhes bibliográficos
Ano de defesa: 2022
Autor(a) principal: Barbosa, Andre
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: eng
Instituição de defesa: Brunel University London
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Engenharia Naval
Ship Maintenance
data-driven maintenance
Discrete Event Simulation
workforce demand smoothing
maintenance scheuduling
Condition Based Maintenance
Diretoria-Geral do Material da Marinha (DGMM)
Link de acesso: 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 Maintenance routine simulation with data-driven approaches applied to naval and shipping sectorsEngenharia NavalShip Maintenancedata-driven maintenanceDiscrete Event Simulationworkforce demand smoothingmaintenance scheudulingCondition Based MaintenanceEngenharia NavalDiretoria-Geral do Material da Marinha (DGMM)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.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 LondonDr Alireza MousaviBarbosa, Andre2023-01-10T11:56:57Z2023-01-10T11:56:57Z2022info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttps://www.repositorio.mar.mil.br/handle/ripcmb/845689info:eu-repo/semantics/openAccessengreponame:Repositório Institucional da Produção Científica da Marinha do Brasil (RI-MB)instname:Marinha do Brasil (MB)instacron:MB2025-08-26T18:42:24Zoai:www.repositorio.mar.mil.br:ripcmb/845689Repositório InstitucionalPUBhttps://www.repositorio.mar.mil.br/oai/requestdphdm.repositorio@marinha.mil.bropendoar:2025-08-26T18:42:24Repositório Institucional da Produção Científica da Marinha do Brasil (RI-MB) - Marinha do Brasil (MB)false
dc.title.none.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
Diretoria-Geral do Material da Marinha (DGMM)
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.none.fl_str_mv Dr Alireza Mousavi
dc.contributor.author.fl_str_mv Barbosa, Andre
dc.subject.por.fl_str_mv Engenharia Naval
Ship Maintenance
data-driven maintenance
Discrete Event Simulation
workforce demand smoothing
maintenance scheuduling
Condition Based Maintenance
Engenharia Naval
Diretoria-Geral do Material da Marinha (DGMM)
topic Engenharia Naval
Ship Maintenance
data-driven maintenance
Discrete Event Simulation
workforce demand smoothing
maintenance scheuduling
Condition Based Maintenance
Engenharia Naval
Diretoria-Geral do Material da Marinha (DGMM)
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.none.fl_str_mv 2022
2023-01-10T11:56:57Z
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.format.none.fl_str_mv application/pdf
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)
repository.name.fl_str_mv Repositório Institucional da Produção Científica da Marinha do Brasil (RI-MB) - Marinha do Brasil (MB)
repository.mail.fl_str_mv dphdm.repositorio@marinha.mil.br
_version_ 1855762813204561920

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