OPC — Shopfloor Connectivity
Connect shopfloor signals to dimensional evidence and QIF (ISO 23952) traceability without manual data entry
IVR.OPC captures machine and process events and links them to inspection results and characteristic identifiers structured in QIF (ISO 23952). With automatic acquisition from production equipment and IMTE — Inspection Measuring and Test Equipment — the system eliminates manual typing and preserves auditable traceability between process conditions and measured quality outcomes.
What IVR.OPC Delivers
- OPC-based acquisition of machine and process parameters
- Traceable linkage between events and dimensional characteristics
- Correlation of process conditions with inspection outcomes
- Data feed to SPC monitoring and evidence reports
- Audit-ready history with timestamps and source identification
Shopfloor Data as Evidence, Not Just Monitoring
Collecting shopfloor signals is only valuable when they can be connected to measurable product quality. IVR.OPC captures process parameters and events and links them to the same characteristic identifiers used in inspection and QIF (ISO 23952) structures.
This approach turns raw shopfloor data into objective evidence that supports root-cause analysis, process validation and continuous improvement, with traceability between conditions and outcomes.
Each machine event can be associated with measurable dimensional results.
Integration with QIF (ISO 23952) and Dimensional Characteristics
IVR.OPC maps shopfloor events to structured product characteristics defined in QIF (ISO 23952). This ensures that process signals are not isolated tags, but traceable data points linked to engineering-defined requirements.
As characteristics and tolerances evolve through engineering revisions, the mapping remains consistent and controlled, preserving alignment between process monitoring and quality definitions.
- Characteristic-level linkage instead of generic tag lists
- Consistency across CAD → QIF → inspection identifiers
- Controlled updates aligned with engineering revisions
Automatic Acquisition from Production and IMTE
Data is acquired automatically from production equipment via OPC interfaces and correlated with inspection results captured from IMTE — Inspection Measuring and Test Equipment. This eliminates manual typing and prevents transcription errors.
Time synchronization and source identification preserve the integrity of the evidence trail, supporting investigations, customer requirements and audit readiness.
The data chain remains trustworthy because it is collected at the source.
SPC Correlation and Process Condition Analysis
By linking process parameters to measured dimensional results, IVR.OPC enables correlation studies between machine conditions and variation behavior. This supports IVR.SPC monitoring with richer context, improving detection of drift, instability and special causes.
Engineers can validate which process signals truly influence critical characteristics and prioritize improvements based on measurable impact.
- Correlation between parameters and dimensional variation
- Evidence for process adjustments and validation
- Support for corrective actions with measurable proof
Traceability, Audit Trails and Evidence Export
IVR.OPC records a complete history of events, sources and timestamps, linking them to part identifiers, operations and inspection results. This creates an audit-ready dataset for customer reporting and certification requirements.
When combined with IVR.DMS and IVR.Audit, the same evidence can be packaged into controlled documentation with clear traceability from shopfloor conditions to measured quality.
Audit readiness is achieved through structured traceability, not manual reconstruction.