A turnaround is thirty-five minutes and a dozen dependent tasks.
Optimum plans staff and equipment against every one of them, watches the apron in real time, and rebuilds the plan the moment something slips. Live at Budapest Airport.
Nothing on the apron holds still long enough to plan once.
Ground handling is the most variable environment in aviation operations. Aircraft arrive late, equipment breaks, people call in sick, and every task waits on the one before it. A roster written the night before is wrong by the first wave.
Tasks depend on each other
Boarding waits on cleaning, cleaning waits on deboarding. One slip moves everything downstream.
People are not interchangeable
Certifications, rest rules and shift ends decide who can actually take the task, not just who is free.
The margin is minutes
SLAs are contractual and tight. The difference between meeting one and missing it is a decision taken in the next five minutes.
A closed loop, not a nightly roster
Four stages, running continuously through the shift. Each one feeds the next.
Plan
Staff, skills and equipment allocated against the day's turnaround pattern.
Sense
IoT devices on the apron report position, equipment status and task timing as it happens.
Intervene
When a turnaround drifts toward an SLA breach, the supervisor is told while there is still time to act.
Learn
Every completed shift sharpens the estimates the next plan is built on.
A supervisor handling a delay doesn't want a settings screen
They say what happened and get an updated plan back. erdosP-3 turns the sentence into constraints, re-solves the shift against the full rule set, and shows the trade-off before anything is committed.
Running live at Budapest Airport
BUD is where this approach has been proven in a real, high-variability ground-handling environment. The systems described on this page are the ones running there.
Full case study coming soon.
See it applied to your operation
We'll walk through your turnaround pattern and show you where the loop catches what a static plan would miss.