Gage R&R — ANOVA-Based Measurement System Analysis Type 2
Decomposes measurement variation into repeatability (EV), reproducibility (AV), and part-to-part variation using two-factor crossed ANOVA with interaction.
Description
The Gage R&R study (Type 2) evaluates a measurement system by having multiple operators measure multiple parts with replications. The two-factor crossed ANOVA (Parts × Operators) with interaction decomposes total variation into components: σ²_Repeatability (equipment variation EV), σ²_Reproducibility (appraiser variation AV = σ²_Operator + σ²_Interaction), σ²_Part (part-to-part variation), and σ²_GRR = σ²_EV + σ²_AV. If the interaction is not significant (p ≥ α), it is pooled with repeatability. Decision criteria: %GRR < 10% = acceptable, 10–30% = conditionally acceptable, ≥ 30% = not acceptable. Additionally, the number of distinct categories (ndc = ⌊1.41 · σ_Part / σ_GRR⌋) is computed; ndc ≥ 5 is considered acceptable.
Formulas
Assumptions
- Crossed study design: each operator measures each part equally often (balanced design)
- At least 2 parts, 2 operators, 2 replicates per cell
- Recommended: 10 parts × 3 operators × 2–3 replicates (AIAG MSA-4)
- Measurements are approximately normally distributed
- Parts represent the typical process range
Limitations
- Negative variance estimates are clamped to 0 — this can distort results in very small studies
- Interaction is automatically pooled when p ≥ α — pooling changes degrees of freedom and variance components
- Only for crossed studies — nested designs require a different ANOVA structure
References
- AIAG — Measurement Systems Analysis Reference Manual, 4th Edition (MSA-4), Chapter 4
- VDA Band 5 — Prüfprozesseignung: Eignung von Messsystemen, Mess- und Prüfprozessen, 3. Auflage
- Montgomery, D. C. — Design and Analysis of Experiments, 10th Edition, Chapter 14
- Wheeler, D. J. — EMP III: Evaluating the Measurement Process, SPC Press