Gage R&R Simplified: Essential Tools for Quality Engineers

Name: Gage R&R Simplified: Essential Tools for Quality Engineers
Rating: 4.7 (75 reviews)

Step-by-Step Gage Repeatability and Reproducibility Error Analysis Using Microsoft Excel. ALL Excel templates included.

Highest Rated

Created byRay Harkins, The Manufacturing Academy

Last updated 6/2026

English

What you'll learn

An overview of the major sources of measurement error
Explanations of Linearity, Stability, and Bias
MSA requirements found in quality management system standards
A "light dive" into descriptive statistics ... just the tools you need for GR&R with nothing else
How to combine normal distributions
Repeatability, How is it defined and measure?
Reproducibility, How is it defined and measure?
Calculating Gage R&R as an absolute value, and as a percentage of Total Variation
Precision to Tolerance (P/T) Ratio
Equipment Variation (EV), Appraiser Variation (AV), Part Variation (PV) and Total Variation (TV)
Number of Distinct Categories (NDC)
The 10 x 3 x 3 Gage R&R Study
Flexing Your Input Parameters: Number of Parts, Appraisers, and Trials
Calculating K Factors
Gage Troubleshooting Guidelines
Problems with the AIAG Method

Course content

1 section • 40 lectures • 3h 57m total length

Introduction6:20
Glossary of Terminology2:33
Explore the downloadable glossary of terminology for gauge R&R, equipment variation, repeatability, reproducibility, linearity, and related concepts, with key formulas and next steps in control charting and process capability.
Understanding Measurement Variation7:15
Quality System Standards4:31
Accuracy vs Precision3:12
Types of Measurement System Error, Pt 17:13
Explore the foundational measurement equation and distinguish accuracy and precision by examining bias, linearity, stability, repeatability, reproducibility, and resolution in gage R&R.
Types of Measurement System Error, Pt 26:17
Identify six sources of measurement variation and learn how a measurement systems analysis isolates repeatability and reproducibility. Understand how handheld gauges, device resolution, and operator effects influence gauge R&R studies.
Opening Comments on Statistical Tools2:08
The Normal Distribution8:16
Explore the normal distribution as a foundational concept in descriptive statistics, describing how populations are measured with mu and sigma, and how histograms visualize this bell curve.
Measures of Central Tendency3:19
Measures of Dispersion, Pt 111:02
Explore measures of dispersion, including range, standard deviation, and variance, and distinguish them from central tendency in a gauge R&R context.
Measures of Dispersion, Pt 26:55
Distribution Nomenclature1:50
Combining Normal Distributions4:53
Case Study #1, Repeatability6:30
Repeatability Error Measurement, Pt 19:35
Analyze repeatability error using gage R&R basics in Excel, computing R and R bar, converting to sigma with D2, and evaluating the precision to tolerance ratio against six sigma standards.
Repeatability Error Measurement, Pt 25:02
Repeatability Error Measurement, Pt 34:45
Assess repeatability and reproducibility to determine gauge capability against part tolerance. Compare gauge error to the part tolerance and to process variation, using the Pythagorean relation for total variation.
Case Study #2, Gage R&R7:08
Examine a ten by three by three gage r&r case study to assess repeatability, reproducibility, randomization, and measurement system error in micrometer-based thickness for stainless steel.
Randomization Tables4:38
Summarizing the Measurement Data7:24
The 10 x 3 x 3 Study5:33
Apply a ten by three by three template to collect measurements, compute part and trial averages and ranges, and begin analyzing repeatability, reproducibility, and total variation in gage R&R.
Calculating EV4:34
Convert summary statistics into error calculations by deriving equipment variation (EV) from the average of appraiser ranges and k1, illustrating repeatability as a zero-bias standard-deviation estimate.
Calculating AV12:05
Calculating GR&R3:10
Calculate gage r&r by combining repeatability and reproducibility into total variation. Apply the gr&r formula sqrt(ev^2 + av^2) to obtain the standard deviation of the combined errors.
Precision-to-Tolerance Ratio7:38
Understanding Total Variation6:23
Understanding Part Variation3:45
Calculating Total Variation1:49
Number of Distinct Categories (NDC)5:27
Examine the number of distinct categories (NDC) and its calculation with the NDC formula, assessing whether the gauge R&R and part variation support effective process control.
GRR as a % of TV4:41
Flexing Your Input Parameters, Pt 17:34
Calculating K Constants2:43
Flexing Your Input Parameters, Pt 25:21
Learn to design flexible gage R&R studies in Excel by adjusting input parameters such as parts, trials, and appraisers, updating k constants, and handling errors with logical formulas.
Gage Troubleshooting Guidelines, Pt 110:35
Gage Troubleshooting Guidelines, Pt 210:42
Next Steps5:33
Problems with AIAG Method10:26
The lecture critiques the AIAG method in measurement systems analysis, showing how using standard deviations instead of variances in gage R&R can misstate contributions and distort gauge decisions.
Conclusion to the Course1:58
Bonus Lecture6:25

Requirements

Basic understanding of Microsoft Excel
Basic understanding of statistics
Basic understanding of manufacturing and measurement

Description

Accurately assessing gage variation is a critical skill for quality and test lab professionals, manufacturing and industrial engineers, and equipment and gage manufacturers. Whether you’re tackling issues in repeatability and reproducibility or looking to enhance your process controls, this course provides the perfect blend of theory and practice to master Gage R&R.

Taught by a 30+ year manufacturing professional, this course empowers you to design, conduct, and analyze Gage R&R studies with confidence. You’ll explore both the fundamental concepts and the hands-on application of statistical techniques—all within the familiar context of Microsoft Excel.

What You’ll Get:

Lifetime access to the course and downloadable Excel templates.
Q&A access to the instructor through the Udemy platform for personalized support.
A glossary of essential terms and troubleshooting guidelines for future reference.

Major Topics Covered:

The theory and practice behind Gage R&R, including repeatability and reproducibility.
How Gage R&R is related to Measurement Systems Analysis (MSA).
How Gage R&R is specified within quality management systems like VDA and IATF-16949.
A foundation of the statistical tools and techniques needed for Gage R&R analysis.
Average & Range method with step-by-step demonstrations.
Key metrics: Equipment Variation (EV), Appraiser Variation (AV), Total Variation (TV), Precision-to-Tolerance (P/T) ratio, and Number of Distinct Categories (NDC).
Troubleshooting unacceptable gage performance.
Real-world applications with downloadable Excel templates for quick implementation.

What Students Have Said About This Course:

"I have spent years "filling out the forms" as part of the PPAP process. This course was extremely helpful for breaking down the theory behind the forms." - Thomas G.

"Excellent course led by a highly knowledgeable instructor with years of hands-on experience in the field. The material was well-structured, engaging, and filled with real-world examples." - Reza S.

This course is designed for quality engineers and test lab professionals aiming to refine their expertise in measurement system analysis. By the end of the course, you’ll have the skills to confidently assess gage systems, improve measurement accuracy, and enhance overall process quality.

Join now to gain critical insights and advance your quality engineering career!

Who this course is for:

Quality engineers, Quality technicians, Quality managers
Industrial engineers, Machine manufacturers, Manufacturing engineers, Gage designers
Laboratory technicians, Laboratory managers, Calibration technicians