Towards a hierarchical modelling approach for planning aircraft tail assignment and predictive maintenance

Ilyass Haloui (1, 2) , Caroline Ponzoni Carvalho Chanel (3) , Alain Haït (2)

1 Airbus Defence and Space [Toulouse]
2 DISC - Département d'Ingénierie des Systèmes Complexes
3 DCAS - Département Conception et conduite des véhicules Aéronautiques et Spatiaux

Aircraft equipment health monitoring system plays a promising role for airlines operation cost reduction, as it can be exploited to perform predictive maintenance. In this vein, a hierarchical sequential decision making model is proposed to plan predictive maintenance. It combines linear optimization for routing assignment and MDP planning to handle maintenance actions based on the stochastic evolution of health indicators. This entangled model should reduce planning time while ensuring a cost-efficient policy.

Mots clés: Hierarchical planning; Aircraft tail assignment; Predictive maintenance

Domaines: Autre

Ilyass Haloui, Caroline Ponzoni Carvalho Chanel, Alain Haït. Towards a hierarchical modelling approach for planning aircraft tail assignment and predictive maintenance. The 13th International Scheduling and Planning Applications woRKshop (SPARK), Oct 2020, Nancy, France. pp.0. ⟨hal-03125150⟩