Turn sensor drift into a monitoring rule
Design a simple monitoring rule for AI input drift using control-chart principles.
The scrap predictor's alert rate doubled after a humidity sensor replacement, but no one knows whether this is real process change or bad input drift. Control-chart thinking: baseline normal variation, detect special-cause signals, investigate, then act The common trap is waiting for final scrap results before noticing that the input stream has changed. By then operators may have ignored useful alerts or acted on bad ones for days. Baseline the input Use the last 30 stable production days to record humidity median, missingness, and range during normal validated operation. A drift rule needs a reference period. Without a baseline, every…
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