Aircraft tire remaining life prediction
Galaxy Holdings · Posted 2 months ago
Automotive and mobilityPredictive Analytics / Forecasting
- Budget
- To be determined
- Timeline
- Not specified
- Closed on
- 31 Jul 2026, 16:59 ICT
Problem statement
- Aircraft tires are among the highest-frequency consumable components in airline operations.
- Unexpected tire wear can result in aircraft delays, Aircraft on Ground events, emergency logistics, and increased maintenance costs.
- Current forecasting capabilities remain limited, resulting in reactive maintenance planning and inventory inefficiencies.
Expected outcomes and success metrics
- Reach remaining life prediction accuracy above 85%.
- Reduce unexpected tire-related disruptions by 20%.
- Improve spare inventory planning accuracy.
- Reduce emergency tire logistics costs.
Current process
Current forecasting of tire wear is limited.
Target users and impacted teams
Aviation maintenance teams.
Integration, deployment and infrastructure
Pilot scope will focus on selected aircraft fleets and wheel assemblies.
Relevant AI technologies
Predictive Analytics / Forecasting