MSA: Difference Between Stability & Linearity | IATF 16949 | English

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This video will explore "MSA: Difference Between Stability & Linearity".
Measurement Systems Analysis (MSA) is a study used to identify the measurement system's contribution to the overall variation in a process. It helps assess if the measurement system is accurate and precise.
The video discusses the key differences between stability and linearity.
Bias is when the measurement system consistently produces results higher or lower than the actual value. It can be managed through calibration and environmental control.
Linearity indicates how bias changes across the measurement range. It's managed by assessing bias at multiple points and applying corrections.
Stability, or drift, refers to how bias changes over time. Regular maintenance and checks can address stability issues.
By understanding and managing these errors, organizations can ensure the accuracy of their measurement systems and make better decisions.
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