MSA

MSA stands for Measurement System Analysis. MSA helps to understand the sources of variation that influence the measurement result produced by the measurement system. MSA is one of the very important core tools of the IATF 16949:2016 standard and widely used in Statistical Process Control and problem-solving tools like 8D, and Six Sigma-DMAIC methodologies. The […]

Accuracy definition: It is defined as how close the measured value to the target/true/reference value. Decisions can be made highly effective if the measurement data have high accuracy and precision. High accuracy and precision in the measurement data can be achieved only if there will be small variations in the measurement system. Instrument/gage with high

Accuracy and Precision are the two important term that often comes into picture during the measurement, testing, and calibration process. The effectiveness of the decisions is based on the measurement data’s accuracy and precision. Equipment with high accuracy and high precision will always lead to better decisions, improve quality of measurement data, low variations, and

The measurement system variation is also known as a measurement system error. The measurement variation represents the amount of measurement error. Measurement system variation or errors are classified into 5 categories: Repeatability(Equipment Variation) Reproducibility(Appraiser Variation) Bias Stability or Drift Linearity Measurement system variation | Focus Measurement system variations mainly focus on two important factors –

Precision meaning is the degree of closeness of the measurements with each other. How consistent our results are regardless of closeness to target/true/actual value. Precision is the degree to which an instrument/process/measurements will repeat/show the same value. Precision is defined as how close the measurements with one another, no matter whether the process/measurements are accurate or not. In measurement system