This is the final blog in a four-part series on Gage R&R studies. The first blog addressed what a gage R&R study is . The second blog addressed Gage R&R studies and process variation and determine the % of total variance due to the measurement system. The third blog examined how good your measurement system is using an Evaluating the Measurement Process (EMP) classification developed by Dr. Donald Wheeler. This blog provides a...
You just completed your ANOVA Gage R&R analysis. The results indicate that your measurement system is responsible for 40% of the process variance (GRR%). You look up the guidelines on the internet and this is what you see:
You are in trouble! 40% and it can’t be greater than 9%! What will your customer say? Should you...
This is the second in a four-part series on Gage R&R. The first blog explained what a Gage R&R study is . This blog examines the relationship between the Gage R&R results and the process variation and answers the question:
Is the measurement system capable of telling the difference between the parts or samples taken the process?
This is just another way of asking if the measurement system can be used to control the process. The basic equation describing the relationship between the...
This is the first of a four-part blog on gage R&R. It answers this basic question:
What is a Gage R&R study?
If you google this question, you will get several answers including this one from the www.isixsigma.com dictionary:
“Gage R&R, which stands for gage repeatability and reproducibility, is a statistical tool that measures the amount of variation in the measurement system arising from the measurement device and the people taking the measurement.”
This statement is...
