What is an attribute gauge?
Correspondingly, what is an important element in attribute gage R&R?
Attribute gage R&R reveals two important findings – percentage of repeatability and percentage of reproducibility. Ideally, both percentages should be 100 percent, but generally, the rule of thumb is anything above 90 percent is quite adequate.
Likewise, how many samples should be used for an attribute gage R&R? Currently I'm selecting between 20 to 30 test samples that represent the full range of variation encountered in actual production runs. For maximum confidence, I'm using a 50-50 mix of good/bad parts but also a 30:70 ratio is acceptable.
In this way, what is a good gage R&R score?
If the % Gage R&R is under 10%, the measurement system is generally considered to be an adequate measurement system. If the % Gage R&R is between 10 % to 30%, the measurement system may be acceptable for some applications. If the % Gage R&R is over 30%, the measurement system is considered to be unacceptable.
What is attribute data?
Attribute data is data that have a quality characteristic (or attribute) that meets or does not meet product specification. These characteristics can be categorized and counted.