![]() ![]() ![]() Which means, you have selected the correct parts for performing MSA, you have numbered the parts, you have identified the operators for this test, you have selected the right measuring equipment and you have the data collection template ready. Key Assumptionsīefore we do the Attribute Gage R&R, you should have completed all the pre-work as discussed in Measurement System Analysis (MSA) overview post. ![]() Your quality control associates determine the conformance to these attributes by physically inspecting the wooden plank and decide on acceptability (Yes or No). Acceptability as a metric is the combination of color, smoothness, surface texture and other desired attributes of the wooden plank. Please remember, it is extremely important to do the correct MSA depending on the type of your data. If your data set consists of continuous data, you will need to perform Continuous Gage R&R. Hence, we will use this data to perform Attribute Gage R&R. In our example, the Acceptability data set of the wooden planks is discrete. When you have Discrete data set, you perform Attribute Gage R&R. We will build on the examples we discussed in these posts. Please click on the links to read these posts (opens in new tab). MSA is done to ensure that your measurement system is robust, precise and accurate. We also looked at an overview of Measurement System Analysis (MSA). In my earlier post, we looked at what Measurement System Variation means, how it can creep into your process data and what steps you should take to ensure that your data is free of such variation. We will also explore the results of Attribute Gage R&R and how to interpret these results. It is also referred to as Discrete Gage R&R. In this post, we will look at the step by step approach to perform Attribute Gage R&R. ![]()
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