AI: Recurring failures
Coming soonFind the failure you keep repairing.
Work-order analytics would group tickets by asset and cause and mark the repeat failures, so a problem that keeps coming back gets a root-cause review instead of another repair.
What it does
Repeat repairs, made visible.
One ticket looks like routine maintenance. Eight of the same kind on the same asset is a pattern. This tool is for finding the pattern.
- Groups work orders by asset and by cause.
- Marks repeat failures and how often they come back.
- Prompts a root-cause review when one asset keeps getting the same repair.
- Shows other work orders in between, so the repeat stands out.
Sketch B. One conveyor, one year of work orders
What it needs
Plant-specific data.
- Work orders with an asset and a cause recorded on each.
- A history long enough for repeats to show, such as a year.
How it works
How it is planned to work, in three steps.
Bring in work orders
Tickets from your maintenance records are read alongside your production data.
Group by asset and cause
Tickets for the same asset and the same cause are counted together.
Review the repeats
Repeat failures are marked, with their timing, ready for a root-cause review.
Tell us which repairs keep coming back.
Describe the asset that never seems to stay fixed and we will talk through how work-order analytics could surface it.