Predictive maintenance for multi-component systems of repairables with Remaining-Useful-Life prognostics and a limited stock of spare components

Aircraft maintenance is undergoing a paradigm shift towards predictive maintenance, where the use of sensor data and Remaining-Useful-Life prognostics are central. This paper proposes an integrated approach for aircraft planning multiple multi-component systems, components repairables. First, model-based developed. These updated over time, as more become available. Then, rolling horizon integer linear program developed systems. model integrates with management limited stock spare repairable components. The systems linked through availability shared time slots. Our illustrated fleet aircraft, each equipped Cooling System consisting four Units. For to be operational, minimum two Units out need operational. results show that our reduces costs by 48% relative corrective strategy 30% preventive strategy. Moreover, using replaced in anticipation failure without wasting their useful life. In general, provides roadmap from repairables spares.