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Claudio Giglio, marco, sbarufatti

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Open access Aug 2026

Optimising Aircraft Fleet Maintenance with Reinforcement Learning: A numerical case study

This study explores the application of Reinforcement Learning to automated decision-making in aircraft fleet maintenance, aiming to minimise operational and maintenance life-cycle costs and leverages the potential benefits of SHM technology, encouraging broader industry adoption.

Emanuele Petriconi, Claudio Giglio, marco, sbarufatti · 0 citations

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