Infrastructure for First Article Inspection (FAI) Automation

FAI automation for AS9102 compliance requires regulatory requirements, GD&T interpretation rules, and inspection planning logic to be structured and queryable — not just documented in controlled PDFs. The system must programmatically determine which dimensions require measurement, what tolerances apply, and what AS9102 report sections must be completed for a specific part class and customer. This requires machine-readable regulatory rules, not findable documentation that engineers interpret manually. Aerospace customer-specific FAI requirements must be formally encoded as queryable logic the AI can apply without human interpretation.

FAI automation requires systematic capture of CMM measurement data linked to specific part numbers, revision levels, tooling configurations, and process setup information. Each FAI measurement session must be captured with complete metadata — CMM ID, fixture ID, operator, date, part serial number, revision — for automated report generation and historical trend analysis across first articles. Ad-hoc or incomplete capture prevents the AI from generating AS9102-compliant reports with full traceability and makes historical FAI comparison impossible.

Automated comparison of measured dimensions to CAD tolerances with deviation highlighting requires formal ontology mapping Part entities to CAD features, GD&T specifications, tolerance types, and measurement datum references. Without explicit entity relationships — CMM.MeasuredFeature.ActualValue compared to CAD.Feature.NominalValue WITH Tolerance.Upper AND Tolerance.Lower under Datum.Reference.Framework — the system cannot perform automated pass/fail assessment or generate deviation maps. Formal schema is essential for interpreting GD&T datum relationships, not just comparing numbers.

FAI automation must access CAD models and GD&T specifications from PLM, receive CMM measurement data from metrology systems, query historical FAI data for similar parts, and write completed FAI reports to QMS for customer submission. API access to PLM, CMM software, and QMS covers the core FAI workflow. Full unified access is not required — FAI inspections are discrete events, not continuous streams, making API-based per-inspection queries sufficient.

FAI automation rules must update when AS9102 standard revisions occur, customer-specific FAI requirements change, or part revision levels are updated. Event-triggered updates ensure the measurement planning AI applies current inspection requirements when a customer updates their Quality Clauses or when an engineering change order revises a part. Quarterly reviews would mean parts produced under the new revision are inspected against old measurement plans for months, creating compliance gaps in aerospace audit trails.

FAI automation requires API-based connections between PLM (CAD models and GD&T specifications), CMM software (measurement data), QMS (FAI records and historical data), and ERP (part and tooling configuration). These connections enable the automated workflow: retrieve CAD specs → plan measurement → execute CMM → compare results → generate AS9102 report → submit to QMS. API-based integration is sufficient for the discrete, per-FAI workflow pattern without requiring a full integration platform.