Constrained Multi-Aircraft Maintenance Scheduling Using Component Prognostics

Master Thesis (2019)
Author(s)

A. Engelke (TU Delft - Aerospace Engineering)

Contributor(s)

WJC Verhagen – Mentor (TU Delft - Air Transport & Operations)

M. Mitici – Mentor (TU Delft - Air Transport & Operations)

Faculty
Aerospace Engineering
Copyright
© 2019 Anna Engelke
More Info
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Publication Year
2019
Language
English
Copyright
© 2019 Anna Engelke
Graduation Date
12-08-2019
Awarding Institution
Delft University of Technology
Programme
['Aerospace Engineering']
Faculty
Aerospace Engineering
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Abstract

In recent years, airlines have increasingly developed the ability to monitor the condition of aircraft components by means of sensors. In turn, aircraft maintenance aims to use this sensor data to predict component failures. However, the challenge remains to make use of these prognostics to generate appropriate maintenance schedules. In this paper, we develop a Monte-Carlo tree search to schedule maintenance tasks based on component prognostics and available maintenance slots. This approach is used to create a maintenance policy for multiple aircraft which specifies which aircraft are allocated for maintenance and on which days. The results show that the scheduling of the maintenance tasks is robust and able to accommodate the maintenance scheduling of smaller airline fleet sizes. Overall, our results support the integration of aircraft component prognostics in aircraft maintenance scheduling.

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