Measurement Systems Analysis

Course Description

Course is for Engineers, Scientists, and Managers who have direct responsibility for measurement evaluation, selection, and control.  Course covers the basic concepts associated with Measurement Systems Analysis, repeatability, reproducibility, accuracy, linearity, stability, standards selection and use, calibration and compensation and measurement control.



8 Hours

Contact Information


1 (650) 967-2700

P.O. Box 2103
Sunnyvale, CA 94087-0103

Course Objectives

Course Objectives: As a result of the course, the participant will be able to:

  1. Determine gage capability
  2. Assess accuracy, linearity, stability, repeatability and reproducibility in test equipment
  3. Design and deploy SPC for measurement control
  4. Select and establish standards
  5. Describe proper methods for instrument calibration and compensation
  6. Conduct gage capability for inspection activities
  7. Discuss how MSA impacts customer satisfaction

Course Outline:

Introduction to MSA

MSA is a key to systematic product development
Background statistical principles
Sources of error
Focus on the measurement process

Terms & Definitions


R&R, Linearity, & Accuracy

2 factor crossed design for Variables MSA   
Repeatability & Reproducibility
R&R and Capability Example
Accuracy example
Linearity example

Correlation, Calibration and Compensation

Correlation and compensation
Soft compensation versus standard calibration
Scatterplot Method
Problems with r2

SPC for Measurement Control

Selection and utilization of Standards
SPC for Measurement Control
SPC using stable standards
SPC using unstable standards

MSA for Attributes Operational Definitions

Effectiveness, P(miss), P(false alarm)
Kappa, escape rate and bias