How our performance figures are modelled

Modelled from — Unscheduled events avoided. Repeat-defect detection flags a subsystem failing again before it becomes an AOG, and checks are planned against actual flying hours rather than the calendar.

Modelled from — Labour and parts. Work orders carry their own labour hours and reserved parts, so the cost of a job is known rather than estimated, and parts are reserved against real demand instead of held.

Modelled from — Availability follows from the first two: fewer unscheduled groundings and shorter turnarounds leave more of the fleet serviceable on any given day.

Modelled from — Technician time. The job, its task list, its parts and its sign-off are on the phone at the aircraft and work offline, which removes the walk back to a terminal and the second entry of the same data.

Modelled from — Audit preparation. Records are already filed against the aircraft with their directive reference, expiry and signed document, so preparing for an audit is an export rather than a search.

Modelled from — Inventory carrying cost. Parts forecasting projects demand from scheduled checks and consumption history, so stock is ordered to a reorder point rather than held against uncertainty.

Modelled from — Planning effort. Due dates are computed from utilisation and component health across the fleet at once, instead of being assembled per aircraft by hand.

Modelled from — Monitoring. Expiry and threshold checks run on a schedule against live records, so a lapse surfaces as an alert rather than at the next review.