Introduction: What is Measurement Study? When and why use MSA? Application of MSA. Sources of variation. Impact of measurement errors. Causes of measurement variation.
Components of MSA: Resolution or Discrimination, Measurement Error, Bias, Gage R&R, Linearity, Stability, Calibration Plot, and Attribute R&R.
Resolution or Discrimination: Meaning and calculation of resolution with example.
Measurement Error: Measurement System Error; Repeatability and Reproducibility. Measurement Error in mathematical terms. Measurement error categories; Accuracy and Precision. Assessing measurement data.
Bias: Definition of Bias. Bias as % of Tolerance. Example problem to calculate Bias.
Gage R&R: Repeatability (EV), Reproducibility (AV). Calculation of Gage R&R. Total Process Variation. Number of Distinct Data Categories (NDC). Measurement Capability Indices (MCI). Gage R&R w.r.t. Total variation, Gage R&R w.r.t. Tolerance. Case study; Gage R&R, Interpretation of Repeatability and Reproducibility Charts.
Linearity: Definition of linearity. Concept of linear equation. Components of linearity; Bias, Equation of linearity, %Linearity, Point of zero bias, Coefficient of determination. Linearity chart in excel. Example problem. Interpretation of Linearity chart.
Stability: Definition of stability. Stability mean chart and range chart. Example problem and interpretation of stability chart.
Calibration plot: Meaning and understanding of calibration plot. Example problem and interpretation of calibration plot.
Attribute R&R: Interpretation of repeatability and reproducibility of attribute data.
Quantitative Technique Part-I by Narender Sharma
Electronics For You, August 2012 by EFY Enterprises Pvt Ltd
An idea to run cycle automatically after starting by Shubhankar Paul
Seven QC Tools Training (Revised) by Sharma Narender