PROCENG — Process Engineering
Process definition and control driven by structured QIF (ISO 23952) data and real dimensional results
IVR.ProcEng connects process planning to measurable product characteristics structured in QIF (ISO 23952). Engineering decisions are validated with dimensional data collected automatically from IMTE — Inspection Measuring and Test Equipment — eliminating manual transcription and ensuring traceable alignment between design intent and manufacturing execution.
What IVR.ProcEng Delivers
- Process steps linked to structured product characteristics
- Traceable connection between operations and dimensional results
- Integration with CAD → QIF → DMIS data flow
- Feedback loop from SPC and MSA to process parameters
- Revision control aligned with engineering changes
From Process Planning to Measurable Control
Traditional process documentation often remains disconnected from measurable product performance. IVR.ProcEng associates each manufacturing operation with the specific characteristics defined in CAD and structured through QIF (ISO 23952).
This ensures that process steps are not generic descriptions, but directly linked to dimensional requirements that can be inspected, monitored and statistically analyzed.
Each operation is traceable to the dimensional characteristics it influences.
Integration with CAD, QIF and DMIS
Engineering definitions extracted from CAD models are structured via QIF (ISO 23952), preserving geometric tolerances and feature relationships. DMIS-based inspection programs reference the same characteristic identifiers used in process engineering.
This closed loop between design, process planning and inspection eliminates inconsistencies and ensures that manufacturing execution reflects structured engineering data.
- Shared characteristic identifiers across modules
- Consistency between control plan and inspection program
- Automatic impact visibility when engineering changes occur
Data-Driven Process Optimization
Dimensional results collected automatically from IMTE — Inspection Measuring and Test Equipment — feed statistical analysis in IVR.SPC and capability studies in IVR.MSA. Process parameters can then be adjusted based on measurable variation and stability indicators.
This evidence-based feedback loop transforms process engineering into a measurable discipline supported by real production data instead of isolated assumptions.
Process adjustments are validated through statistical and dimensional evidence.
Alignment with FMEA and Risk Control
Process steps defined in IVR.ProcEng are directly associated with risk items in IVR.FMEA. When dimensional instability or nonconformities are detected, related operations can be identified and evaluated.
This structured linkage ensures that risk mitigation actions are not generic, but targeted to specific process stages influencing measurable characteristics.
- Traceable link between process operations and failure modes
- Evidence-based validation of corrective actions
- Consistent data foundation across engineering and quality
Controlled Revisions and Digital Continuity
Engineering changes, tolerance updates and process modifications are version-controlled and traceable. When a product revision occurs, affected operations and inspection requirements are identified automatically.
This digital continuity ensures that process engineering, quality and production operate on synchronized and structured data, preserving traceability throughout the product lifecycle.
Process engineering becomes a structured, measurable and auditable activity.