Measurement Systems Analysis (MSA)
Attendees will discover the amounts and types of variations that exist in measurement systems, to ensure that product acceptance or process control decisions are based on "good data." Attendees will also learn how to conduct studies to evaluate variability due to bias, repeatability, reproducibility, stability, and linearity. |
| TARGET AUDIENCE | COURSE LENGTH |
| Quality and metrology managers, Laboratory and technical personnel, Design, manufacturing, process, quality, and test engineers, Calibration and maintenance personnel, Environmental laboratory managers, Inspectors, technicians, SPC coordinators and suppliers. Prerequisites: Attendees should be familiar with Statistical Process Control and statistics. |
Length: 2 days Time: 8:00 a.m. - 4:00 p.m. |
WHAT’S COVERED
·
Introduction, Purpose and Terminology·
The Measurement Process·
The Effects of Measurement System Variability·
Measurement Strategy and Planning·
Measurement Source Development·
Gage Source Selection Process·
Measurement Issues·
Measurement Uncertainty·
Measurement Problem Analysis·
General Concepts for Assessing Measurement Systems·
Selecting/Developing Test Procedures·
Preparation for a Measurement System Study·
Analysis of the Results – Acceptability Criteria·
Recommended Practices for Simple Measurement Systems·
Example Test Procedures·
Variable Measurement System Study – Guidelines·
Average and Range Method·
Attribute Measurement Systems Study·
Practices for Complex or Non-Replicable Measurement Systems·
Stability Studies·
Variability Studies·
Recognizing the Effect of Excessive Within-Part Variation·
Average and Range Method – Additional Treatment·
Gage Performance Curve·
Reducing Variation Through Multiple Readings·
Pooled Standard Deviation Approach to GRR

