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Measurement Systems Analysis

Measurement systems include variation and error, just like any other process. When a characteristic is measured the readings that are recorded include this measurement error.

It is easy to overlook this and assume that measurements reflect the true value of the characteristic. This can result in fruitless attempts to improve the process when the apparent variation is caused by variations in the measuring system. Measurement Systems Analysis should be an essential precursor to introducing Statistical Process Control, or using Design of Experiments.

Topics that are associated with measurement systems analysis include:

 Calibration Percent Agreement Calibration Standard Precision to Tolerance (P/T) Ratio Gage R&R Precision/Total Variation (P/TV) Linearity Repeatability and Reproducibility Measurement Error Resolution Measurement Systems Capability Stability Number of Distinct Categories (NDC)

 Measurement Systems for both attributes and variables are covered in the MiC Quality course on Measurement Systems Analysis Try out our courses by taking the first module of the Primer in Statistics free of charge.
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 :: Six Sigma Primer :: Primer in Statistics :: Advanced Statistics :: Statistical Process Control SPC :: Advanced SPC :: Design of Experiments :: Advanced DOE :: Measurement Systems Analysis MSA/ Gage R&R Primer in Statistics FREE First Module "Introduction to Statistics" Primer in Statistics FREE Reference Booklet FREE Excel Primer