Link to blog: bit.ly/BiasLine...
Measurement Systems Analysis (4th Edition AIAG) is a key step to any process improvement effort. By understanding existing measurement systems, a team can better understand the data provided by those systems and make better business decisions.
To understand Measurement System Analysis (MSA) effectively, the understanding of keywords like Repeatability, Reproducibility, Bias, Linearity, Stability, Drift, Accuracy is important. Once we have clarity about it, it becomes easy to understand the importance of selecting an appropriate measurement system and how it can impact our decision making (Type I and Type II error).
Bias: The difference between the observed average of measurements and the reference value.
Linearity: The change in bias over the normal operating range. A systematic error component of the measurement system.
#bias
#Linearity
#msa
21 авг 2024
