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You are here: Home / Articles / What is GR&R

by Semion Gengrinovich Leave a Comment

What is GR&R

What is GR&R

Gage Repeatability and Reproducibility (GR&R) is a statistical tool used in quality control to assess a measurement system’s capability. It evaluates the amount of variation in the measurement data that is due to the measurement system itself, rather than the product being measured.

GR&R helps to determine if a measurement system is reliable and whether it’s producing repeatable and reproducible measurements.Here are the key components of GR&R:

  • Repeatability: The variation in measurements taken with the same instrument under the same conditions across multiple trials. It assesses an instrument’s precision when used by the same operator over a short period of time.

  • Reproducibility: The variation in measurements when different operators use the same instrument under the same conditions. It evaluates the consistency of measurement results across different operators.

A typical GR&R study involves multiple operators who measure the same set of items multiple times. The data collected is then analyzed to determine the contribution of the measurement system’s variation to the total observed variation. The results help to identify any need for improvement in the measurement process, such as recalibration of instruments, training for operators, or even the replacement of inadequate measuring devices GR&R is an important part of Measurement System Analysis (MSA) and is widely used in industries to ensure that the measurement systems in place are suitable for their intended purpose. It is also a key component of the Six Sigma methodology and is often required for Production Part Approval Process (PPAP) documentation packages.

To define a test for Gage Repeatability and Reproducibility (GR&R), you should follow a structured approach that involves planning, execution, and analysis.

Step 1: Define the ObjectiveDetermine what you want to achieve with the GR&R study, such as assessing the precision of a specific measurement system.

Step 2: Select the Measurement SystemChoose the measurement device or system to be evaluated.

Step 3: Identify the OperatorsSelect the individuals who will perform the measurements during the study.

Step 4: Choose the PartsPick a representative sample of parts that will be measured.

Step 5: Plan the Study DesignDecide on the number of measurements each operator will take on each part. A common approach is to have 2-3 operators measure 5-10 parts, 2-3 times each.

Step 6: Conduct the MeasurementsHave the operators perform the measurements according to the study design.

Step 7: Analyze the DataUse statistical software or manual calculations to analyze the data and calculate the repeatability and reproducibility.

Step 8: Interpret the ResultsDetermine if the measurement system is acceptable based on the GR&R results. Common guidelines suggest that a GR&R percentage below 10% indicates an acceptable system, while values between 10% and 30% may be acceptable depending on the application and cost factors. Values above 30% generally indicate the system needs improvement.

Step 9: Take Action if NecessaryIf the GR&R is not acceptable, investigate and address the sources of variation, which may include recalibrating equipment, retraining operators, or modifying the measurement process.

Step 10: Document the StudyRecord all aspects of the GR&R study, including the methodology, results, and any actions taken to improve the measurement system.

A GR&R study is essential for ensuring that a measurement system is capable of producing reliable and consistent data. By following these steps, you can effectively evaluate the repeatability and reproducibility of your measurement system and make informed decisions about its suitability for your quality control processes.

Filed Under: Articles, on Product Reliability, Reliability Knowledge

About Semion Gengrinovich

In my current role, leveraging statistical reliability engineering and data-driven approaches to drive product improvements and meet stringent healthcare industry standards. Im passionate about sharing knowledge through webinars, podcasts and development resources to advance reliability best practices.

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