Measured Value Distribution

Histogram with specification and guard-banded decision limits.

First 200 Readings

True value vs measured value.

Risk by Tolerance Band

False decisions near limits.

Real-Time Learning Hook

Future calibration loop using production inspection and NC data.

Inspection Data FeedActual readings update process sigma, bias trends, operator effects, line effects, and shift-level drift.

NC / Escape FeedbackConfirmed nonconformances recalibrate false accept assumptions and increase risk weights.

Adaptive SimulationFuture engine continuously updates priors instead of relying on static defaults.