Measurement System Analysis (4th Edition) (Online Training)

Course Modules

• Module 1 – Definitions
  – Measurement
  – Gage or instrument
  – Measurement system
  – Reference value
  – True value
  – Discrimination
• Module 2 – Variation In Measurement System
  – Ideal measurement system
  – Good measurement system
  – Components of variation
  – Variation in measurement
  – Bias
  – Stability
  – Linearity
  – Precision
  – Accuracy vs precision
  – Gage repeatability and reproducibility
  – Sources of variability
  – Components of precision
• Module 3 – Measurement System Analysis Approach
  – Approaches for variable
  – Approaches for attribute
  – Common assumption
  – MSA phase 1
• Module 4 – GR&R (MSA Phase 2)
  – Objective
  – Repeatability
  – Reproducibility
  – MSA Phase 2 activities
  – Step 1- Identify equipment
  – Step 2- Study product and process
  – Step 3- Design an experiment, blind study
  – Step 4 – Conduct the study
  – Step 5 – Numerical calculations
  – Strp 6 – Analysis of results, graphical analysis
  – GR&R Equations
• Module 5 – Bias
  – Bias example
  – Bias data
  – Bias calculations
• Module 6 – Linearity
  – Linearity example
  – Linearity data
  – Linearity calculation
• Module 7 – Stability
  – Stability example
  – Stability data
  – Stability calculations
• Module 8 – GRR Attribute
  – GR&R Attribute example
  – GR&R Attribute data
  – GR&R Attribute calculations
• Module 9 – ANOVA
  – ANOVA Method
  – Design an experiment
  – Conduct the study
  – Numerical calculations
  – ANOVA Analysis % Variation and Contribution
  – Calculation
  – Calculation Interpretation
  – Graphical Analysis
• Module 10 – Non-Replicable Measurements – Destructive Testing
  – Non-replicable Measurements – parts change while test
  – Analysis
  – Assumption
  – Cross vs Nested Method
  – Method 1 – Cross GR&R Method
  – Method 2 – Nested GR&R Method