Quality Module
Statistical Process Control based on reliable measurement data
In IVR 5.0 AI, SPC turns measurement results into continuous process control, combining real-time monitoring with historical analysis, full traceability and objective evidence — without manual data entry.
What SPC delivers
- Process stability through detection of special causes
- Process capability (Cp, Cpk, Pp, Ppk) with full history
- Real-time alarms with reaction tracking
- End-to-end traceability by part, operation, resource and batch
- Structured data aligned with QIF (ISO 23952)
No spreadsheets. No manual typing.
SPC is only effective when the data is trustworthy. IVR 5.0 AI prioritizes automatic measurement data collection, ensuring consistency, timing and traceability from the measured characteristic to its manufacturing context.
IMTE-driven SPC
Results coming directly from IMTE — Inspection, Measuring and Test Equipment preserve data integrity and eliminate transcription errors, creating a solid foundation for statistical control.
SPC workflow in IVR 5.0 AI
- Standardize characteristics (names, tolerances, rules)
- Structure the data using QIF
- Monitor the process with control charts and rules
- React to signals with actions and evidence
- Analyze trends using historical data
Why it matters
- Early detection reduces scrap and rework
- Decisions based on statistics, not intuition
- Clear audit trail: what happened, when, why and how it was handled
- Shared data across Quality, Production and Maintenance
Core capabilities
Control charts
Support for standard charts (X̄-R, X̄-S, p, np, c, u), configurable by characteristic, machine, operation, shift or batch.
Alarms and rules
Detection of out-of-control points, trends and patterns, with mandatory reaction and justification records.
Capability analysis
Cp/Cpk and Pp/Ppk calculation with filters by time window, product, operation and resource.
Traceability and evidence
Every SPC event is linked to measurement results and process context, enabling audits and root cause analysis.
SPC + MSA
Process control is only meaningful when the measurement system is reliable. SPC and MSA work together by design.
CAD, QIF and DMIS integration
SPC becomes stronger when characteristics and results are structured, closing the digital metrology thread.
Ready to apply SPC with confidence?
If you already measure — or plan to — turn your data into continuous statistical control with traceability and evidence.