Joint dynamic scheduling of missions and maintenance for a commercial heavy vehicle: value of on-line information

Elodie Robert (1, 2) , Christophe Bérenguer (2) , Kéomany Bouvard (1) , Hocéane Tedie (1) , Romain Lesobre (3)

1 Volvo Technology [Lyon]
2 GIPSA-SAIGA - GIPSA - Signal et Automatique pour la surveillance, le diagnostic et la biomécanique
3 Renault Trucks Defense

Jointly optimizing maintenance and missions schedule for a vehicle has become a priority to improve the profitability for commercial heavy vehicles. Many research works are interested in optimizing either the preventive maintenance planning or the production planning but few researches are focused on scheduling both activities for a system which deteriorates over time. A static approach has previously been developed to jointly schedule missions and maintenance operations while considering the vehicle deterioration to minimize the maintenance costs. However, once the schedule is determined, no update is considered during its completion. This contribution presents a dynamic method to answer the joint scheduling problem based on the failure opportunities and the collected deterioration information. A comparison between the static and the dynamic approaches is drawn to evaluate the possible maintenance cost gain brought by the on-line information availability.

Mots clés: stochastic deterioration process; reliability; genetic algorithm; dynamic scheduling; joint missions planning and maintenance scheduling

Domaines: Automatique / Robotique; Applications [stat.AP]; Recherche opérationnelle [math.OC]

Elodie Robert, Christophe Bérenguer, Kéomany Bouvard, Hocéane Tedie, Romain Lesobre. Joint dynamic scheduling of missions and maintenance for a commercial heavy vehicle: value of on-line information. SAFEPROCESS 2018 - 10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, IFAC, Aug 2018, Varsovie, Poland. pp.837-842, ⟨10.1016/j.ifacol.2018.09.672⟩. ⟨hal-01902212⟩