Gage repeatability and reproducibility studies determine how much of your observed process variation is due to measurement system variation. Minitab allows you to perform either crossed, nested or general Gage R&R studies.
To help setup your worksheet for the Gage R&R studies, use Create Gage R&R Study Worksheet.
Minitab provides two methods for assessing repeatability and reproducibility: X and R, and ANOVA. The X and R method breaks down the overall variation into three categories: part-to-part, repeatability, and reproducibility. The ANOVA method goes one step further and breaks down reproducibility into its operator, and operator-by-part, components.
The ANOVA method is more accurate than the X and R method, in part, because it considers the operator by part interaction [8, 9]. Gage R&R Study (Crossed) allows you to choose between the X and R method and the ANOVA method. Gage R&R Study (Nested) and (Expanded) uses the ANOVA method only.
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) or (Expanded). If each batch is only measured by a single operator, then you use Gage R&R Study (Nested) or (Expanded). In fact, whenever operators measure unique parts, you have a nested design.
If you need to include more factors than Operator and Part, have fixed factors, a mixture of crossed and nested factors, or an unbalanced design, you must use Gage R&R (Expanded).
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If you have attribute data, you can use Attribute Gage Study (Analytic Method) to analyze the bias and repeatability of your process. |