• Training & Workshops

Seminar Content

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 measurement system.

This seminar is consistent with the DCX, Ford GM manual Measurement Systems Analysis, 4th edition.

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.

Prerequisite Skills

A basic understanding of computational mathematics, a partial understanding of elementary applied statistics, and a basic background in statistical process control are important.

Seminar Materials

Each participant will receive a seminar manual, including workbook and all team exercise materials.

Please bring a calculator.

Seminar Goals

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.

Seminar Outline

• Introduction to MSA
• Statistical Properties of Measurement Systems
• Discrimination
• 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