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

• Ano de defesa: 2022
• Autor(a) principal: Barbosa, Andre
• Orientador(a): Dr Alireza Mousavi
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: eng
• Instituição de defesa: Brunel University London
• Palavras-chave em Português: Engenharia Naval; Ship Maintenance; data-driven maintenance; Discrete Event Simulation; workforce demand smoothing; maintenance scheuduling; Condition Based Maintenance
• Link de acesso: https://www.repositorio.mar.mil.br/handle/ripcmb/845689

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.