George, Biju, Loo, Jonathan ORCID: https://orcid.org/0000-0002-2197-8126 and Wei, Jie (2022) Recent advances and future trends on maintenance strategies and optimisation solution techniques for offshore sector. Ocean Engineering, 250. p. 110986. ISSN 0029-8018
Preview |
PDF
offshore_maintenance.pdf - Accepted Version Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (1MB) | Preview |
Abstract
Maintenance planning program of offshore assets is a complex activity due to its impact on the operational and safety risks and consequences, dependence on personnel resource availabilities, site constraints due to operational requirements and environmental factors, and uncertainties related to various vulnerabilities on asset. This paper elaborates the challenges on offshore maintenance frameworks and have carried out a review of recent state-of-the-art literature from which have observed that the current state-of-the-art does not incorporate site constraints of the asset related to offshore personnel resource availability and impact of time required to carry out activities, into the maintenance plan and its impact on other activities due to the maintenance. Also, it has been identified that dynamic and autonomous resource allocations for maintenance activities are not employed in the offshore maintenance planning program that allows each maintenance item to independently adjust its resource allocation based on the time required to complete the activity, to improve the resource utilisation.
Item Type: | Article |
---|---|
Identifier: | 10.1016/j.oceaneng.2022.110986 |
Keywords: | maintenance, offshore system, planning, multi-objective optimisation, machine learning, deep reinforcement learning |
Subjects: | Construction and engineering > Mechanical, aero and production engineering |
Related URLs: | |
Depositing User: | Jonathan Loo |
Date Deposited: | 23 Mar 2022 19:15 |
Last Modified: | 22 Aug 2024 10:00 |
URI: | https://repository.uwl.ac.uk/id/eprint/8876 |
Downloads
Downloads per month over past year
Actions (login required)
View Item |