Turn time + wrench time
Know where the days went, before the customer asks.
Every hour of every visit is tagged by state - waiting on approval, waiting on parts, waiting on inspection, in work, waiting on RTS. The report tells you which state actually holds turn time hostage. Then you can cut it.
The problem
- Visits blow their scheduled ready date and nobody knows why.
- Wrench time is a small slice of the total, but every conversation acts like it's the whole thing.
- You know parts are the bottleneck but you cannot quantify it.
- Every improvement plan starts with "we need to be faster" and dies there.
What CoreOP does
- Turn time attribution - every hour of every visit tagged and rolled up by state.
- Capacity forecasting eight weeks out, filtered by authorization category.
- Visit execution board that shows which cards are stuck and in which state.
- Parts-at-risk alerts before the aircraft arrives, so parts stop being the surprise.
Real UI
Where the days go.
A single visit's timeline broken out by state - with the specific event that pushed it into each one.
coreop.io
Turn time attribution
Last 90 days
Where the days go, per visit
0%
Not in work
The share of every visit the aircraft is on the floor but not being worked. The shop's hidden capacity.
In work4.2d
Waiting on approval1.8d
Waiting on parts5.4d
Waiting on inspection1.1d
Waiting on RTS0.9d
Idle0.6d
Avg visit14.0 days end-to-end
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