Measurement Systems Analysis (MSA) is a set of methods that are used to assess the variability inherent in gages and other measurement systems so we can know whether or not we can trust a given system in a given application. Similar to our other core tool courses, this course balances theory and practice. It is based on the MSA 4th Edition manual published by AIAG.
Our two-day MSA course describes the language, methods, calculations, and evaluation techniques to assess bias, linearity, stability, repeatability, and reproducibility. Why wouldn't you want to be able to trust your measurements? This course provides answers to very specific questions. In it, you will learn ask the right questions. You’ll learn what each of the MSA studies will assess, where they should be applied, and how to execute them.
- Quality Statistics Review
- Fundamental MSA Concepts
- Preparation for MSA Studies
- Mathematics of MSA Studies
- Evaluation of MSA Studies
Key Course Objectives
- Correctly use common MSA terms.
- Identify measurement system elements.
- Evaluate effective resolution.
- Select appropriate sample sizes.
- Assess measurement system stability.
- Assess measurement system bias.
- Assess measurement system linearity.
- Quantify gage repeatability.
- Quantify gage reproducibility.
- Quantify measurement uncertainty.
- Perform ANOVA gage R&R studies.
- Identify extreme sources of variation.
- Assess attribute measurement systems.