Gage R&R Study (Nested)overview data how to example see also
Gage R&R Study (Nested)Stat > Quality Tools > Gage Study > Gage R&R Study (Nested)
Gage repeatability and reproducibility studies determine how much of your observed process variation is due to measurement system variation. Use Gage R&R Study (Nested) when each part is measured by only one operator, such as in destructive testing. In destructive testing, the measured characteristic is different after the measurement process than it was at the beginning. Crash testing is an example of destructive testing.
Gage R&R Study (Nested) uses the ANOVA method for assessing repeatability and reproducibility.
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Overall Variation Part-to-Part Variation Measurement System Variation Variation due to gage Variation due to operator | | | | Repeatability Reproducibility |
If you need to use destructive testing, you must be able to assume that all parts within a single batch are identical enough to claim that they are the same part. If you are unable to make that assumption then part-to-part variation within a batch will mask the measurement system variation.
If you can make that assumption, then choosing between a crossed or nested Gage R&R Study for destructive testing depends on how your measurement process is set up. If all operators measure parts from each batch, then use Gage R&R Study (Crossed). If each batch is only measured by a single operator, then you must use Gage R&R Study (Nested). In fact, whenever operators measure unique parts, you have a nested design.
Part or batch numbers: Enter the column containing the part or batch names or numbers.
Operators: Enter the column containing operator names or numbers (optional).
Measurement data: Enter the column containing the observed measurements.
