
Please use this identifier to cite or link to this item:
https://www.repositorio.mar.mil.br/handle/ripcmb/845689
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Dr Alireza Mousavi | pt_BR |
dc.contributor.author | Barbosa, Andre | - |
dc.date.accessioned | 2023-01-10T11:56:57Z | - |
dc.date.available | 2023-01-10T11:56:57Z | - |
dc.date.issued | 2022 | - |
dc.identifier.uri | https://www.repositorio.mar.mil.br/handle/ripcmb/845689 | - |
dc.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. | pt_BR |
dc.description.abstract | 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. | pt_BR |
dc.language.iso | en | pt_BR |
dc.publisher | Brunel University London | pt_BR |
dc.rights | openAccess | pt_BR |
dc.subject | Engenharia Naval | pt_BR |
dc.subject | Ship Maintenance | pt_BR |
dc.subject | data-driven maintenance | pt_BR |
dc.subject | Discrete Event Simulation | pt_BR |
dc.subject | workforce demand smoothing | pt_BR |
dc.subject | maintenance scheuduling | pt_BR |
dc.subject | Condition Based Maintenance | pt_BR |
dc.title | Maintenance routine simulation with data-driven approaches applied to naval and shipping sectors | pt_BR |
dc.type | masterThesis | pt_BR |
dc.subject.dgpm | Engenharia Naval | pt_BR |
Appears in Collections: | Engenharia Naval: Coleção de Dissertações |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Maintenance routine simulation with datadriven approaches applied to naval and shipping sectors .pdf | 697,43 kB | Adobe PDF | ![]() View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.