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This project showcases a Gage Repeatability and Reproducibility (Gage R&R) study conducted using the ANOVA method via Minitab software. It includes the raw data (Excel format) and visual/statistical analysis outputs from Minitab.
- Contains measurement data collected across multiple parts and operators.
- Data is used to assess the measurement system's consistency and reliability.
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anova_table.png
Contains the two-way ANOVA table with interaction, variance components table, and % contribution of each source of variation. -
gage_rr_charts.png
Composite report showing:- Components of variation (% contribution, study variation, % tolerance)
- R Chart by operators
- XΜ Chart by operators
- Boxplot of measurement by parts
- Boxplot of measurement by operators
- Interaction plot (Parts * Operators)
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gage_eval_probs.png
Includes:- Gage evaluation table (StdDev, Study Var, %SV, %Tolerance)
- Number of distinct categories
- Joint and Conditional probabilities of misclassification
- Parts, Operators, and Part Γ Operator interaction are all statistically significant (p-value < 0.05).
- Indicates differences in measurements are influenced by part variability and operator performance.
- Part-to-Part variation dominates (97.02% of total variation).
- Total Gage R&R accounts for only 2.98%, indicating the measurement system is acceptable.
- Study variation is 16.72%, and %Tolerance (SV/Toler) is 167.21%.
- The measurement system has decent resolution: 8 distinct categories.
- Small chance (1.3%) that a good part is wrongly rejected.
- Slightly lower chance (0.9%) of a bad part being wrongly accepted.
This Gage R&R study confirms the measurement system is acceptable with low variation due to repeatability and reproducibility. Most variation is from the parts themselves, which is ideal.
- Minitab Statistical Software
- Excel for data organization
Pavankumar Harikrishna
[Project for statistical quality analysis or similar coursework]