Gage R&R Template for Excel

You Don't Have to be an Expert to Conduct a Gage R&R Study

QI Macros add-in for Excel provides an easy to use Gage R&R Template that:

performs all of the calculations
interprets the results (is your measurement system acceptable or needs improvement)
is compatible with AIAG Measurement Systems Analysis - MSA, Fourth Edition

To begin, just drop your measurements into the yellow input fields:

gage r&r input sheet

This example uses sample data from the AIAG Measurement Systems Analysis Fourth Edition.

Then just scroll down to view the results.

Gage R&R Study Methods used to Evaluate Your Measurement System

QI Macros Gage R&R template offers three main ways to evaluate your measurement system:

Average and Range Method
Specification Tolerance Method
Anova Method

Average and Range Method Results in the Gage R&R Template

Key cells are shaded with yellow or red based on their values.
A message regarding Gage System acceptability and recommendations are provided.
NDC Calculation in row 52 indicates whether you have enough part variation for a valid test.

average and range method calculations

Specification Tolerance Method Results in the Gage R&R Template

Spec tolerance can be input into cell B:43. The calculations for % EV, % AV and %R&R using the spec tolerance are displayed in column C just next to the Average and Range method results in column B.

ANOVA Method Results

QI Macros calculations have been tested and validated against the AIAG MSA 4th edition. For more details view this Gage R&R validation test using Ford Motor Co data.

QI Macros saved us a ton of time.
They take all the guesswork out of it.

- Richard Nardini, Apptec

Control Charts, Histograms, Scatter and Box Plots to Visualize Your Results

QI Macros template creates numerous charts to help you analyze the results. For more information about these charts refer to the AIAG MSA manual. Here are some examples:

Part by Appraiser Plot (Stacked)
part by appraiser chart

The area between the UCL and LCL shows the "measurement sensitivity." More than half of the points should fall outside of the UCL/LCL which means the measurement system is adequate to detect part-to-part variation. Less than half means the system is inadequate.

Appraiser 1 - Normalized Error