When we rely on measurements to make decisions in manufacturing or testing, one key question always comes up:
💬 "Can we trust our measurement system?"
That’s where Gage R&R (Gage Repeatability and Reproducibility) comes in — a method to evaluate the quality of the measurement system itself.
✅ What is Gage R&R?
Gage R&R is a statistical method used to evaluate measurement variation from two main sources:
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Repeatability – Variation when the same person uses the same instrument multiple times.
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Reproducibility – Variation between different operators using the same instrument.
Together, they show how much measurement error is introduced by the system.
🔬 Why Gage R&R Is Important in Testing
In many production or lab settings, test results are used to accept or reject products.
If the measurement system is not reliable, it could:
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Reject a good product (false negative)
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Approve a bad product (false positive)
Gage R&R helps you answer:
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Is my test system stable and consistent?
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Should I trust the data I'm collecting?
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Do I need to improve calibration, training, or test setup?
📊 How to Interpret Gage R&R Results
The key metric is %Contribution or %Study Variation.
| %Gage R&R (Total) | Interpretation |
|---|---|
| < 10% | ✅ Acceptable |
| 10% – 30% | ⚠ May be acceptable (depends on use) |
| > 30% | ❌ Unacceptable – system needs improvement |
You may also see:
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EV (Equipment Variation) = Repeatability
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AV (Appraiser Variation) = Reproducibility
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PV (Part Variation) = Actual product differences
📎 Example Use Case: Software Test Fixture
Suppose you’re validating a pressure sensor using an automated test fixture. You want to check if the measurement from the sensor tester is reliable.
You run a Gage R&R study:
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3 operators
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3 parts
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Each operator measures each part 3 times
The result:
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%Gage R&R = 8.5% ✅ → Acceptable
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%Reproducibility = 3%
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%Repeatability = 5.5%
✅ You conclude the measurement system is stable, and you can trust your test data.
⚠️ When to Perform Gage R&R
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Before starting mass production
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After changing equipment or test procedures
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When you suspect test data inconsistency
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During internal audits or ISO/TS 16949 compliance
💡 Summary
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Gage R&R is not just for physical measurements — it’s useful anywhere a repeatable, human-involved test is used.
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Helps build confidence in your data quality.
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A small investment of time for Gage R&R avoids big risks in decision-making.
🛠 Want to Automate Gage R&R Reports?
You can also use Python scripts with Minitab COM interface to:
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Automatically run Gage R&R
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Save results and graphs
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Reduce human error and reporting time
📁 See Example on GitHub (link your repo here)
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