Measurement Systems Analysis

Course Description

Course is designed 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.

Prerequisites

There are no prerequisites for this course.

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Course Objectives

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.

Detailed Course Outline

Section I: Introduction to MSA

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

Section II: Terms and Definitions

Repeatability
Reproducibility
Accuracy
Linearity
Stability

Section III: R&R, Linearity, & Accuracy

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

Section IV: Correlation, Calibration and Compensation

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

Section V: SPC for Measurement Control

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