First Article Inspection (FAI)

Last updated 2026.02.13
초도품검사FAI품질관리Quality Control생산검증AI검사디지털트윈Digital Twin

Definition

First Article Inspection (FAI) is a production validation process that verifies whether a new or modified production process can produce parts conforming to technical drawings and manufacturing specifications. Suppliers conduct comprehensive testing and inspection of either the first part produced by the new process or a sample from the initial batch, then submit a report to the purchaser.

Manufacturing Applications

Key Application Points

  • New Supplier Qualification: Quality capability verification before mass production
  • After Mold/Tooling Changes: Product conformity confirmation following process modifications
  • Design Change Implementation: Manufacturing feasibility validation for updated specifications
  • Production Restart After Extended Shutdown: Quality reconfirmation after process restoration

Inspection Process

  1. Dimensional Inspection: Recording actual measurements of all drawing dimensions
  2. Material Analysis: Verification of material certificates and properties
  3. Functional Testing: Assembly fit, operational performance validation
  4. Documentation: FAI report preparation and approval

Manufacturing AI Integration

Automated FAI verification is emerging as a major trend. 3D scanning and AI vision systems automatically measure thousands of dimensions, while machine learning algorithms analyze deviations from drawings in real-time. Integration with digital twin technology enables virtual FAI simulations to predict potential defects before mass production. Natural Language Processing (NLP)-powered automated FAI report generation systems reduce inspection time by over 70%.

Key Points

  • Purchase Requirement: Mandatory condition specified in purchase orders (PO)
  • Third-Party Verification: Approved inspection laboratories available when in-house capability is insufficient
  • Quality Gate: Final quality checkpoint before production release
  • Traceability: Foundation for batch-level quality history management