Colloquium: Maria del Mar Carrillo Galera (C&O)
22 juli 2020 09:00 - Locatie: Meeting Room 1, Faculty of Aerospace Engineering, Kluyverweg 1, Delft
Maintenance scheduling optimization based on prognostics and limited spare parts
This MSc. research proposes a model for maintenance scheduling of a fleet of aircraft based on component Remaining-Useful-Life prognostics and a limited stock of available spares. A rolling horizon approach is proposed, resulting in a sequence of time windows. For each time window, the goal is to find an optimal maintenance schedule, while considering component prognostics and available spares. Moreover, the scheduling model considers three stages in decreasing order of maintenance priority, from critical aircraft leading to grounded condition, to predictive alerts, to non-critical failures. An Adaptive Large Neighborhood Search algorithm is used to solve this problem. The framework is illustrated in a case study regarding the Supplemental Cooling Unit (SCU) in a fleet of aircraft. The results show that a cost-efficient maintenance schedule for a large fleet of aircraft is generated with an outstanding computational performance. Moreover, the aircraft operating costs are significantly reduced in the long-run, even when considering limited spares.