Foundry

Equipment effectiveness, quality, and downtime on one screen, so the floor sees a problem as it happens, not at the end of the shift.

ManufacturingProduction and quality monitoringLine telemetryDefect detectionDowntime analysis
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Foundry, Line overview. Equipment effectiveness and live throughput by station

The problem

A contract manufacturer tracked output, scrap, and downtime on whiteboards and end-of-shift reports. By the time a problem showed up in the numbers, a full run of parts had already gone bad.

Defects were caught at final inspection, far downstream from the station that caused them, and nobody could say which stoppages were costing the most time.

What we built

Foundry brings line telemetry, vision-based quality checks, and downtime tracking into one view. The floor sees effectiveness and defects in real time, and supervisors can trace a loss back to the station and cause behind it.

  • Live overall equipment effectiveness, split into availability, performance, and quality
  • Station-by-station throughput with status for the whole line at a glance
  • Vision-based defect detection that flags parts for quality sign-off
  • Defect analysis by type, so recurring problems are easy to see
  • Downtime timeline and cause analysis across the shift

A closer look

Foundry, The vision station, with flagged defects held for quality sign-off.
The vision station, with flagged defects held for quality sign-off.
Foundry, Downtime broken down by station and by cause across the shift.
Downtime broken down by station and by cause across the shift.

How it works

Sensors and cameras feed the line’s status into Foundry continuously. When throughput drops or defects cluster, the screen shows it where it happens instead of in a report the next morning.

The software measures and flags. Operators and supervisors decide when to stop, adjust, or hold a batch. Flagged defects wait for a person to confirm before anything is rejected.

The outcome

Problems on the line surface in real time instead of at the end of the shift.

Defects are traced back to the station and cause that created them.

The biggest sources of downtime are visible, so improvement effort goes where it pays.

Ready when you are

Need something like this?

Tell us what's broken in your workflow. We'll tell you honestly if we can build it.

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