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Six Sigma is a manufacturing process control strategy which first implemented by Motorola.

Six sigma being common used by any sectors of industry nowadays, especially those precision product manufacturing.

Six Sigma manufacturing implemented to control the process or stabilize the process. Then, seeks to improve the quality of process outputs.

To stable or improve the process, six sigma manufacturing tools need to be used to achieve the target.

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)
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.