Catch a Defect Before It Becomes Scrap
Quality 4.0 replaces reactive inspect-and-reject quality control with SPC and an AI-based special-cause-of-variation detector — catching a defect while it’s still preventable, not after it’s already scrap.
Inspect and Reject Is a Postmortem, Not a Prevention
Catching a defect at final inspection means the part is already scrapped or already needs rework — the cost is locked in before anyone even knows there was a problem. Without statistical process control watching the measurement data as it’s produced, a process can drift out of control for an entire shift before the first bad part gets caught.
From Reactive Inspection to Predictive Prevention
- 01
See the process variation as it happens
Quality 4.0 runs SPC on both variable and attribute measurement data, generating control charts, histograms and normal-distribution analysis automatically instead of in a manual log book.
Quality 4.0 - 02
Catch the special cause before it makes a defect
An AI-based special-cause-of-variation detector flags an out-of-control process before it produces a part worth scrapping.
Quality 4.0 - 03
Trace a rejection back to its exact cause
When a defect does occur, Traceability 4.0 links it back to the exact machine, operation and process parameters that produced it.
Traceability 4.0
What This Looks Like on Your Floor
Catching a special-cause variation before a part is scrapped
The AI-based detector flags the process drifting out of control while it’s still just a control-chart signal, not a rejected part.
Reading a histogram instead of a log book
Control charts and normal-distribution analysis replace a manual quality log as the record of what actually happened.
Tracing a rejection back to the machine that caused it
Traceability 4.0 connects the defect to the exact operation and process parameters, instead of starting the investigation from a guess.
Related Solutions
Frequently Asked
Yes — Quality 4.0 runs statistical process control for both variable measurement data and attribute measurement data, with control charts, histograms and normal-distribution analysis generated automatically for each.