Dynamic sequential decision making for missions and maintenances scheduling for a deteriorating vehicle
Résumé
This article proposes an approach to define sequentially a schedule for both missions and maintenance operations for a deteriorating vehicle. Both activities are jointly scheduled to adapt to the real vehicle usage and improve the hauler productivity by integrating the constraints directly in the decision-making process. The monitoring information regarding the vehicle health state, the failure occurrences and the new missions to integrate in the schedule are considered as opportunities to update the initial schedule. The method is composed of three steps: a stochastic modelling of the vehicle deterioration evolution integrating the missions effects, a definition of the maintenance policy and schedule structure and the dynamic scheduling algorithm to define and update the schedule.
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