Production Engineering
Scrap analysis
Patterns per article and operation instead of the explanation that it was a strange week.
How you work it in Colleag
- 1
Ask: why did scrap increase?
- 2
The colleague reads scrap data per article, operation and period.
- 3
Review the pattern and the likely root cause.
- 4
Verify on the floor and document the action.
A worked example
“Why did scrap on surface mounting increase in September?”
Scrap broken down per article and operation with the trend: whether the increase lives in one article, one operation or everywhere. A likely root cause is proposed to verify, never as a finished verdict.
Screenshot from Colleag. The example uses invented figures.
The material
- The scrap registrations
- Manufacturing orders and operations
- Article and batch data
You approve
Everything the colleague produces is a proposal with sources. Nothing is published, sent or saved to the archive without a human approving it, and every figure traces to its material.
More from Production Engineering
Curious what it feels like?
We run pilot programs with a few manufacturing companies at a time. Tell us about your business and we will show what the colleagues can do with your documents and your data.