NetherlandsTravel and aviation2018 – ongoingRoyal Schiphol Group
Deep Turnaround aircraft ground-operation monitoring and prediction
Schiphol reported a 3.6 percent improvement in on-time performance with Deep Turnaround
Problem
Schiphol had detailed flight information but limited visibility into work around parked aircraft. Uncertain completion times complicated gate planning and ground handling.
Approach
An internal product team developed Deep Turnaround with requirements from airport operations. Computer vision converted aircraft-stand images into ground-handling events. The system added forecasts of departure readiness and delivered information to airlines and operational partners.
Results
Takeaway
The project required operational partners to act on forecasts. Schiphol distributed the information through tools used during their daily work.
Categories
- Industry
- Travel and aviation
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Computer visionPredictive analytics and ML
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
Airport executives described Deep Turnaround's development from 2018 and its use in operational coordination. Schiphol attributed a 3.6 percent improvement in on-time performance and an 11 percent reduction in missed runway slots to the system.
Full details are in the original sources.
