Think about these as “buckets” in which your measurement system can group your data. The number of distinct categories also represents the number of groups within your process data that your measurement system can discern. Note: Not every measurement has specification limits, so % Tolerance may not be applicable, but % Study Variation will also be calculated. There are some exceptions to this, depending on how capable the measurement is within the specifications, which we’ll discuss below. We will discuss this criteria in the sections below, but basically you want these numbers to be less than 10% ideally, but no greater than 30%. Total Gage R&R %Study Var and Total Gage R&R %Tolerance Anything between 1 and 9% would be considered marginal. The criteria is to have less than 1% of the variation due to Total Gage R&R, and no more than 9%. These percentages are related closely to the % for Repeatability and Reproducibility in other tables, but they sum up to 100% (where the other ones do not sum to 100%, which is confusing for many). % Contribution is the percentage of overall variation from each variance component: Repeatability, Reproducibility (Operator and Operator*Samples) and Part-to-Part variation. We look at 4 criteria to determine how good the Gage R&R results are: Here are the main results for the Minitab data analysis, shown as a summary table. Minitab will generate both data analysis tables along with graphs. In this article, we will look at two different examples, one for measuring TAB WIDTH (poor results), and the other measuring CAP BOW (good results) However, there is some confusion and a lack of knowledge on how to interpret each chart, in order to better understand the validity of your measurement system. Minitab provides a great Gage R&R Sixpack (6 sections) report, when performing a measurement systems analysis (MSA) study.
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