Criticality-based Predictive Maintenance Scheduling for Aircraft Components with a Limited Stock of Spare Components

I.I. de Pater*, M.D.M. Carrillo Galera, M.A. Mitici

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

33 Downloads (Pure)

Abstract

We propose a criticality-based scheduling model for aircraft component replacements.We schedule maintenance for a fleet of aircraft, each equipped with a multi-component system. The maintenance schedule takes into account a limited stock of spare components and the Remaining-Useful-Life prognostics for the components. We propose a component replacement scheduling model with three stages of maintenance criticality: i) critical aircraft that are not airworthy due to a lack of sufficient operational components, ii) predictive alerts for expected component failures, and iii) non-critical aircraft with some failed components. An Adaptive Large Neighborhood Search (ALNS) algorithm is developed to solve this criticality-based aircraft maintenance planning problem. The framework is illustrated for a fleet of aircraft, each equipped with a k-out-of-N system of components. A predictive maintenance planning is obtained within an outstanding computational time (less than 6 seconds for a fleet of 50 aircraft). Moreover, it is shown that the proposed planning with 3-levels of criticality ensures aircraft airworthiness while making cost-efficient use of maintenance slots.
Original languageEnglish
Title of host publication31st European Safety and Reliability Conference
Number of pages8
DOIs
Publication statusPublished - 2021
Event31st European Safety and Reliability Conference - Angers, France
Duration: 19 Sep 202123 Sep 2021

Conference

Conference31st European Safety and Reliability Conference
Abbreviated titleESREL 2021
Country/TerritoryFrance
CityAngers
Period19/09/2123/09/21

Keywords

  • Predictive Aircraft Maintenance
  • Spare Components Management
  • Maintenance criticality

Fingerprint

Dive into the research topics of 'Criticality-based Predictive Maintenance Scheduling for Aircraft Components with a Limited Stock of Spare Components'. Together they form a unique fingerprint.

Cite this