Assigning a stand to each flight looks like an isolated decision, but it conditions everything that follows. A stand occupied longer than planned can block the pushback of the neighboring flight, leave an aircraft waiting, and trigger delays that ripple through the entire day.
This isn’t about replacing the planner: it’s about giving them foresight, an automatic solution, and a reason to trust every change.
We replay a full operating day on the airport’s real geometry; its stands, its taxiway network, its flights — and in seconds the system scans the entire day, flagging where each conflict appears and which flights it affects.
The optimizer takes the operation’s real-world constraints, aircraft size, shared boarding bridges, common pavement and automatically generates a new stand assignment that eliminates the detected conflicts.
Every change can be queried for its rationale. And when the real operation diverges from the plan — a flight is delayed, a stand goes out of service, the system re-optimizes, changing only what’s necessary: flights already boarding are left untouched.
A modular architecture that simulates the full operating day, detects conflicts, and continuously re-optimizes stand assignments around real-world constraints.
Models the airport’s exact geometry: 187 published stands and their taxiway network, replaying a full day in seconds.
Automatically identifies where and when each stand conflict occurs, and which flights are affected.
Generates a new stand plan that respects real operational constraints (aircraft size, shared bridges, common pavement).
Surfaces the rationale behind every proposed change.
Recalculates the plan around disruptions (delays, out-of-service stands), touching only what’s strictly necessary and preserving operations already underway.
Models the airport’s exact geometry: 187 published stands and their taxiway network, replaying a full day in seconds.
Automatically identifies where and when each stand conflict occurs, and which flights are affected.
Generates a new stand plan that respects real operational constraints (aircraft size, shared bridges, common pavement).
Surfaces the rationale behind every proposed change.
Recalculates the plan around disruptions (delays, out-of-service stands), touching only what’s strictly necessary and preserving operations already underway.
1. Detection. The digital twin replays the full operating day and flags 89 stand assignment conflicts.
2. Optimization. The optimizer generates a new stand assignment, honoring real aircraft and boarding-bridge constraints.
3. Result. All 89 conflicts are eliminated, idle time is cut by nearly half, and the disrupted operation is redistributed across just over 50 flights, creating an optimized plan with 100% on-time performance.
4. Explainability. Every change is logged and available for review.
5. Live Disruption. A flight is delayed; the system re-optimizes only the affected plan, without touching flights already boarding.
⚠️ See where conflicts happen — before they impact the operation.
🔧 Generate a better stand assignment around real operational constraints.
✅ 89 conflicts eliminated, downtime nearly halved, 47% → 100% on-time departures.
🤖 Change only what’s necessary as operations evolve.
