Optimising Maintenance Planning and Integrity in Offshore Facilities Using Machine Learning and Design Science: A Predictive Approach

Optimising Maintenance Planning and Integrity in Offshore Facilities Using Machine Learning and Design Science: A Predictive Approach

This research presents an innovative solution to optimise maintenance planning and integrity in offshore facilities, specifically regarding corrosion management. The study introduces a prototype for maintenance planning on offshore oil platforms, developed through the Design Science Research (DSR) m...

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Bibliographic Details
Main Authors: Marina Polonia Rios, Rodrigo Goyannes Gusmão Caiado, Yiselis Rodríguez Vignon, Eduardo Thadeu Corseuil, Paulo Ivson Netto Santos
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Applied Sciences
Subjects:
offshore maintenance
corrosion prediction
maintenance optimisation
machine learning
multi-criteria decision making
reliability centred maintenance
Online Access:https://www.mdpi.com/2076-3417/14/23/10902
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