Gage R&R Study (Gage Repeatability and Reproducibility) is the standard MSA experiment that quantifies the total measurement system variation — determining how much of the observed variation is due to the measurement system (repeatability + reproducibility) versus actual part-to-part differences.
Gage R&R Method
- Design: $k$ operators × $n$ parts × $r$ replicates (typical: 3 operators × 10 parts × 3 reps = 90 measurements).
- ANOVA: Analysis of Variance decomposes total variation into repeatability, reproducibility, and part-to-part components.
- %GRR: $\%GRR = frac{sigma_{GRR}}{sigma_{total}} imes 100\%$ or $\%GRR_{tolerance} = frac{6sigma_{GRR}}{Tolerance} imes 100\%$.
- ndc: Number of Distinct Categories — $ndc = 1.41 imes frac{sigma_{parts}}{sigma_{GRR}}$ — should be ≥ 5.
Why It Matters
- Acceptance Criteria: %GRR < 10% = excellent; 10-30% = marginal; >30% = unacceptable — the gage needs improvement.
- Decision Making: High %GRR means measurement noise obscures real process variation — unreliable SPC and capability.
- Required: IATF 16949 requires Gage R&R for all critical measurements — mandatory for automotive suppliers.
Gage R&R is the measurement system exam — quantifying whether the measurement system contributes acceptable or excessive variation to the total observed variation.
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