Gage R&R Analyzer
Overview
The Gage R&R Analyzer skill provides comprehensive capabilities for conducting Measurement System Analysis (MSA) studies. It supports Gage R&R study design, ANOVA-based variance decomposition, and measurement system adequacy assessment following AIAG guidelines.
Capabilities
- •Gage R&R study design
- •ANOVA variance decomposition
- •Repeatability analysis
- •Reproducibility analysis
- •%GRR calculation
- •Number of distinct categories
- •Measurement bias and linearity
- •Acceptance criteria evaluation
Used By Processes
- •SIX-004: Measurement System Analysis
- •SIX-002: Statistical Process Control Implementation
- •QMS-003: Quality Audit Management
Tools and Libraries
- •Minitab API
- •Statistical analysis packages
- •Calibration management systems
- •Data collection tools
Usage
yaml
skill: gage-rr-analyzer
inputs:
study_type: "crossed" # crossed | nested
operators: 3
parts: 10
trials: 3
measurements:
- operator: "A"
part: 1
trial: 1
value: 10.2
# ... additional measurements
tolerance: 1.6 # USL - LSL
outputs:
- variance_components
- percent_grr
- percent_tolerance
- ndc
- acceptance_decision
- detailed_report
Variance Components
| Component | Source | Description |
|---|---|---|
| Part-to-Part | Process | Variation between parts |
| Repeatability | Equipment | Variation from repeated measurements |
| Reproducibility | Operator | Variation between operators |
| Part x Operator | Interaction | Operator effect varies by part |
Acceptance Criteria (AIAG Guidelines)
| %GRR | Decision |
|---|---|
| < 10% | Acceptable |
| 10% - 30% | Marginal, may be acceptable |
| > 30% | Unacceptable |
Number of Distinct Categories (ndc)
code
ndc = 1.41 * (Part Variation / GRR) Interpretation: - ndc >= 5: Adequate measurement system - ndc < 5: Measurement system needs improvement
Study Design Requirements
| Study Type | Minimum Parts | Minimum Operators | Minimum Trials |
|---|---|---|---|
| Standard | 10 | 3 | 2-3 |
| Attribute | 30 | 3 | 3 |
| Destructive | Use nested design | 3 | 1 |
Integration Points
- •Calibration management systems
- •Quality Management Systems
- •Statistical analysis software
- •Training management systems