Bhaskar R’s Post

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Finance Transformation & Operations || PTP-OTC-RTR Transformation ll RPA || Certified LSS Black Belt ll Project & Program Management || Scrum II Agile II Generative AI II Automation Anywhere

My Practice in Minitab Anova Attribute Agreement Analysis- Procedure #anova #gageR&R #Sixsigma #blackbelt #practice #benchmarking 1. Set aside 15 to 30 test samples of the item you’re measuring. Make sure these samples represent the full range of variation being encountered and make sure approximately equal amounts of each possible attribute category 2. Create a “master” standard that designates each of the test samples into its true attribute category. 3. Select two or three typical inspectors and have them review the sample items just as they normally would in the measurement system, but in random order. Record their attribute assessment for each item. 4. Place the test samples in a new random order, and have the inspectors repeat their attribute assessments. (Don’t reveal the new order to the inspectors!). Record the repeated measurements. 5. For each inspector, go through the test sample items and calculate the percentage of items where their first and second measurements agree. This percentage is the repeatability of that inspector. 6. Going through each of the sample items of the study, calculate the percentage of times where all of the inspectors’ attribute assessments agree for the first and second measurements for each sample. This percentage is the reproducibility of the measurement system. 7. You can also calculate the percent of the time all the inspectors’ attribute assessments agree with each other and with the “master” standard created in Step 2. This percentage, which is referred to as the Accuracy (effectiveness) of the measurement system

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