Module 1. Fundamentals of Measurement Systems Analysis: Data quality, sources of variation, accuracy vs. precision, and differences between calibration, verification, MSA, and measurement uncertainty.

Module 2. MSA Study Planning and Preparation: Purpose, characteristic, equipment, method, operators, part selection, resolution/discrimination, randomization, and acceptance criteria/CSR.

Module 3. Stability, Bias, and Linearity: Reference standard selection, data collection, result interpretation, and corrective actions for unacceptable results.

Module 4. Variable Gage R&R: Repeatability and reproducibility, X̄-R method, introduction to ANOVA, % Study Variation, % Tolerance, % Process Variation, and number of distinct categories (ndc).

Module 5. Attribute Measurement Systems: Agreement, false acceptances/rejections, appraiser/system effectiveness, and Kappa coefficient where applicable.

Module 6. Non-Replicable Systems and Destructive Testing: When traditional Gage R&R is not applicable, alternative study designs, nested studies, homogeneous samples, risks, and limitations.

Module 7. Measurement System Improvement and Maintenance: Sources of variation, improvement actions, and criteria for repeating studies due to process changes, repairs, relocation, or performance issues.

Module 8. MSA Integration with Core Tools: PFMEA and measurement risks, Control Plan, impact on SPC/process capability, and required PPAP evidence.

Module 9. Practical Workshop and Assessment: Interpretation of a variable study and an attribute/non-replicable case study; technical decision-making and action plan development.