Scrap & Quality
Root-Cause Toolkit
Find the few process variables driving most of your scrap — with ready-to-use SPC, 5-Whys and Pareto templates.
The first 15 minutes
20–35% of monthly scrap happens in the first 15 minutes of a run — setup and changeover errors. If you only fix one thing, start there.
Correlate, don’t guess
The hidden cost of poor quality typically runs 15–20% of revenue. Correlating hundreds of process variables against quality outcomes ranks the real drivers, instead of chasing the loudest complaint.
The templates
The toolkit includes ready-to-use SPC control charts, a 5-Whys worksheet, a Fishbone diagram and a Pareto template — each with a worked manufacturing example.
From template to model
Templates find the obvious causes. Machine-learning correlation finds the combinations humans miss — for example narrowing 718 variables down to the 10 that drive most scrap, explaining 83% of the variance.
Get the root-cause toolkit (SPC + 5-Whys + Pareto)
Every template in one download, ready to use on your next quality review.
On its way
Check your inbox — the root-cause toolkit is on its way.
FAQ
Where does most scrap come from?
A large share — 20–35% — occurs in the first 15 minutes of a run, from setup and changeover errors.
Do I need to label data?
No heavy labeling. Correlation works from your existing process and quality records.
What result can we expect?
Teams typically pinpoint the few parameters driving most scrap and adjust them to raise first-pass yield.
See the correlation engine on your data
Book a 30-minute demo and connect a quality use case to your own lines.
Book a demo ›
