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The reproducibility component can be further broken down into its operator, and operator by part, components. The overall variation is broken down into three categories: part-to-part, repeatability, and reproducibility. The variability among operators is the Reproducibility.Ģ Gage repeatability and reproducibility studies determine how much of your observed process variation is due to measurement system variation. The variation among the m replications of the given parts measured by the same operation is the Repeatability of the gage. Each of the J operators is asked to measure the characteristic of each of the I parts for r times (repeatedly measure the same part r times). I parts are randomly chosen and prepared for the study. A gage or a certain instrument is chosen as the measuring device. A typical gage R&R study is conducted as the following: A quality characteristic of an object of interest (could be parts, or any well defined experimental units for the study) is selected for the study. The Gage R&R analysis is a technique to quantify each component of the variation so that we will be able to determine what proportion of variability is due to operators, and what is due to the parts. The precision of the measurements using this gage involves at least two major components: the systematic difference among operators and the differences among parts. The name of this technique originated from the operation of a gage by different operators for measuring a collection of parts. This is a technique to measure the precision of gages and other measurement systems. If you want customers to trust your part quality, you have to learn how to properly evaluate measurement variation.1 Module 13: Gage R&R Analysis – Analysis of Repeatability and Reproducibility Gage R&R doesn't measure the quality of your parts, only the quality of your measurement system. The calculations in cells A48:B56 contain the warning "NDC 0.05 (or your Alpha), use Without Interaction Here's the Point When we put this data into QI Macros Gage R&R template, built in logic tells us the same thing. If we run a frequency histogram on this data, you'll see that the capability indices (Cp, Cpk, Pp, Ppk) are excellent:Įven though the parts are good, they are too good to test the measurement system. As you can see from the data table below, all parts are only off from the target by a few thousands. They measured 10 parts with three appraisers. I have dozens of examples, but here's a recent one. Free Agile Lean Six Sigma Trainer Training.Animated Lean Six Sigma Video Tutorials.
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