10.1. R&R STUDIES FOR CONTINUOUS DATA
10.1.1. Discrimination, stability, bias, repeatability, reproducibility, and linearity
Modern measurement system analysis goes well beyond calibration. A gage can be perfectly accurate when checking a standard and still be entirely unacceptable for measuring a product or controlling a process. This section illustrates techniques for quantifying discrimination, stability, bias, repeatability, reproducibility and variation for a measurement system. We also show how to express measurement error relative to the product tolerance or the process variation. For the most part, the methods shown here use control charts. Control charts provide graphical portrayals of the measurement processes that enable the analyst ...
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