Gage R&R Calculator
Enter measurement data for 3 Parts and 2 Operators to assess measurement system variation.
Operator A
Operator B
What is a Gage R&R Calculator?
A Gage R&R (Repeatability and Reproducibility) calculator is a fundamental tool in Six Sigma and Lean manufacturing used to evaluate the precision of a measurement system. It quantifies how much of the process variation is caused by the measurement system itself versus the actual production process. By isolating these factors, quality engineers can determine if a tool or human operator is reliable enough for critical quality inspections.
Understanding Repeatability vs. Reproducibility
Repeatability (EV - Equipment Variation): This measures the consistency of the same operator using the same gauge to measure the same part multiple times. If the results differ significantly, the issue likely lies with the tool or instrument.
Reproducibility (AV - Appraiser Variation): This measures the consistency between different operators. If Operator A and Operator B get vastly different results while measuring the same part with the same tool, the measurement process or training requires improvement.
How to Interpret Your Results
According to AIAG (Automotive Industry Action Group) standards, the % Gage R&R result is categorized as follows:
- Under 10%: The measurement system is acceptable and highly reliable.
- 10% to 30%: The system is marginal. It may be acceptable based on the importance of the application or the cost of the gauge.
- Over 30%: The measurement system is unacceptable. Root causes must be identified, and improvements are mandatory.
Frequently Asked Questions
Why is Gage R&R important in ISO 9001?
ISO 9001 requires organizations to monitor and measure equipment to ensure product conformity. A Gage R&R study provides documented evidence that the measurement equipment is fit for its intended purpose.
What is the Difference Between Accuracy and Precision?
Accuracy refers to how close a measurement is to the true value (bias). Precision, which Gage R&R measures, refers to how consistent measurements are with each other, regardless of whether they are near the true value.