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

Authors :
Haloui, Ilyass
Ponzoni Carvalho Chanel, Caroline
Haït, Alain
Airbus (FRANCE)
Institut Supérieur de l'Aéronautique et de l'Espace - ISAE-SUPAERO (FRANCE)
Artificial and Natural Intelligence Toulouse Institute - ANITI (FRANCE)
Département d'Ingénierie des Systèmes Complexes - DISC (Toulouse, France)
Airbus Defence and Space [Toulouse]
Département d'Ingénierie des Systèmes Complexes (DISC)
Institut Supérieur de l'Aéronautique et de l'Espace (ISAE-SUPAERO)
Département Conception et conduite des véhicules Aéronautiques et Spatiaux (DCAS)
ANR-19-P3IA-0004,ANITI,Artificial and Natural Intelligence Toulouse Institute(2019)
Source :
The 13th International Scheduling and Planning Applications woRKshop (SPARK), The 13th International Scheduling and Planning Applications woRKshop (SPARK), Oct 2020, Nancy, France. pp.0
Publication Year :
2020

Abstract

International audience; 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.

Details

Language :
English
Database :
OpenAIRE
Journal :
The 13th International Scheduling and Planning Applications woRKshop (SPARK), The 13th International Scheduling and Planning Applications woRKshop (SPARK), Oct 2020, Nancy, France. pp.0
Accession number :
edsair.dedup.wf.001..1305d300040481f707b21b56f29fe54c