Library — Fleets and maintenance
Keeping fleets available
For anything that moves — aircraft, vehicles, vessels, rolling stock — availability is decided in maintenance long before it shows on the schedule.
01The problem
Availability is lost in the gaps between maintenance, supply and operations.
A fleet’s availability rests on a chain that is easy to break: the condition of each asset, the maintenance it is due, the parts that work needs, the people and bays to do it, and the schedule that assumes all of it will happen on time. When a part is late, an inspection finds more than expected or a bay is occupied, the asset stays down — and whatever depended on it has to find another.
Maintenance, supply and operations each see that chain from their own end. The cost is paid in assets waiting for parts that were available elsewhere, and in unplanned downtime the condition data had been predicting all along.
An asset waiting for a part is a supply problem wearing a maintenance badge.
02Where Theralon applies
- 01
From condition to plan
Telemetry and maintenance history turned into early warning of degradation — early enough to plan the work instead of reacting to the failure.
- 02
Parts for the work
Upcoming maintenance matched to parts availability across locations, so a job is never scheduled against stock that is not there.
- 03
Capacity to do it
Bays, tooling and skilled hours treated as constraints alongside the parts themselves.
- 04
Availability, forward
How many assets will be ready next week and next month, and the single dependencies that projection rests on.
- 05
Where the scarce part goes
When stock is short, the allocation that returns the most availability across the whole fleet.
03What changes
Assets waiting on parts held elsewhere
Parts sent where they return the most availability
Failures found in service
Degradation planned for
Availability reported
Availability projected
04Under the hood
Asset Intelligence reads early indicators of degradation from operational history, telemetry, maintenance records and environmental conditions. Trajectory Intelligence learns how each asset normally behaves and watches for sustained drift — the slow decline that never trips a static threshold. Every model in production carries a versioned model card: its intended use, known failure modes and retrain history.
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