Gage R&R Study (Crossed) for Perform Crossed Study

Use Gage R&R Study (Crossed) to assess the variation in your measurement system when every operator measures every part in the study. To perform this study, you must have a balanced design with random factors.

With a destructive test, you can use a crossed gage study just as you would for a non-destructive test if you can assume that the parts are similar enough to be considered the same part.
Note

This homogeneity assumption is critical to obtain meaningful results. Because Minitab assumes the replicates use the same, identical part, label the parts in the worksheet with the same part ID (e.g., Part 1), even though they are not identical parts.

You can estimate repeatability and reproducibility with a crossed study, if you can split a single sample into 4 or more subsamples for multiple operators. If you cannot split a sample into four or more subsamples, use a nested study. For more information, go to Gage R&R Study (Nested) for Perform Nested Study.

This example applies to the Measurement System Analysis Module. For more information, go to www.minitab.com/measurement-system-analysis-module.

Example

In this worksheet, Part contains the part number identifiers, Operator contains the operator identifiers, Measurement contains the measurements of each part.

Minitab assumes that part 6 for operator A is identical to part 6 for operator B. Use the same part identifiers for each operator.
C1 C2-T C3
Part Operator Measurement
6 A 0.29
4 A 0.41
3 A 0.64
10 A -0.56
2 A -0.68

How-to

  1. Choose Solutions Modules > Capabilities > Measurement System Analysis, then select Launch.
  2. Under Destructive Gage R&R Study, select Select a Destructive Gage R&R Study.
  3. Select Perform crossed study, then click OK.
  4. Select Gage R&R Study (Crossed), then click OK.
  5. In Part numbers, enter the column that contains the part names or numbers.
  6. In Operators, enter the column that contains the operator names or numbers.
  7. In Measurement data, enter the column that contains the observed measurements.
  8. Click OK.
Tip

For more information about this analysis, click Help in the main dialog box.