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

Course Objectives

Importance of MSA in controlling and improving the production process and to give students a practical knowledge of using statistical methods in analyzing the measurement system.

Participants will learn to:

  • To provide guidelines for selecting procedures to assess the quality of a measurement system and learning how the measurement system interacts with its environment so only data of acceptable quality are generated.

Target Audience

Company personnel who are involved in assessing the standard quality of their measurement system.


This Live Online / Virtual Training session will be conducted via a Live Streaming Platform in which the trainer will use interactive lecture and slide presentation to cover the modules stated below.

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

Get To Know The Trainer

Trainer Tejwinder


Tej is one of the pioneers in quality system management development in Malaysia. Tej has been involved in quality management consulting and training for the past twenty five years. His last position was the Managing Consultant of a UK based international consulting firm’s Regional Office in Kuala Lumpur. Tej has trained over 50,000 personnel worldwide.

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RRP RM2,000/DAY   SAVE RM550

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