This two-day seminar is designed to provide participants with an understanding of
the importance of MSA in controlling and improving the production process and to
give students a practical knowledge of using statistical methods in analyzing the
This seminar is consistent with the DCX, Ford GM manual Measurement Systems Analysis,
Who Should Attend
Quality Managers, Quality System and Lab Technicians, Management Representatives,
those interested in auditing MSA, and those who are responsible for planning, using
and maintaining measurement systems. Engineers and individuals responsible for process
improvements should also attend.
A basic understanding of computational mathematics, a partial understanding of elementary
applied statistics, and a basic background in statistical process control are important.
Each participant will receive a seminar manual, including workbook and all team
Please bring a calculator.
To define and understand a measurement system and the causes of variation therein;
to be able to qualify the sources of variation. To be able to analyze this data
to improve the measurement system, design or choose appropriate systems for measurement,
data collection and use. To maintain these measurement systems over the life of
the manufacturing process they are used with.
- Introduction to MSA
- Statistical Properties of Measurement Systems
- Quantification of Measurement Systems
- Bias and Linearity
- Bias Breakout
- Linearity Breakout
- GR&R Studies
- GR&R Breakouts
- Attribute Measurement
- Attribute Measurement Breakout
- Comparative Tools
- Summarizing MSA Techniques
Course Sequence: MSA