Six Sigma tools - measurement system
analysis (MSA)
- Characteristics of Measurement System
- Characteristics of six sigma measurement system including stability, discrimination (resolution), accuracy (bias), linearity and precision (variance)
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- Quality of measurement data
- The quality of measurement data is defined by the statistical properties of multiple measurements obtained from a measurement system operating under stable conditions.
- Therefore, System unstable = Not eligible to evaluate quality
- The statistic properties most commonly used to characterize the quality of data are the bias and variance of the measurement system. The property called bias refers to the location of the data relative to a reference value and the property called variance refers to the spread of the data.
- Total variability
- Total variability contain both process variability and measurement system variability. MSA is concern on the measurement system variability.
- More six sigma tools
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Six sigma tool 1 : Measurement system analysis (MSA)
Sig sigma tool 2 : T-Test
Six sigma tool 3 : Statistical Process Control (SPC)
Six sigma tool 4 : Deisgn of experiments (DOE)
Other six sigma tools : Free excel six sigma tools (Cpk, p, %, ppm)