AI-SPC & Anomaly Investigation for Production Quality Control
Standardised SPC Monitoring and RCA Workflow
TL;DR
Summary: An AI-SPC workflow combining rule-based SPC, anomaly detection, and guided investigation steps. The system standardises escalation logic, records decision trails, and supports human-in-the-loop reviews for regulated production environments.
Key Facts
- • SPC signal review time: Reduced (pilot)
- • RCA consistency across lines: Improved (pilot)
- • Audit traceability: Strengthened
Challenge
Quality teams relied on manual SPC chart reviews and fragmented root-cause workflows. Out-of-control signals were detected late, investigations varied by team, and audit trails were difficult to reconstruct across production lines.
Solution
An AI-SPC workflow combining rule-based SPC, anomaly detection, and guided investigation steps. The system standardises escalation logic, records decision trails, and supports human-in-the-loop reviews for regulated production environments.
Outcomes
Supporting metrics
No additional metrics available for this case.
Data sensitivity
Anonymised
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