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Measurement Systems Analysis (MSA) & Process Capability

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.

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
• MSA and ISO/QS-9000
• Statistical Properties of Measurement Systems
• Discrimination
• Discrimination Breakout
• Quantification of Measurement Systems
• Bias Breakout
• Linearity Breakout
• Conducting GR&R Studies
• GR&R Breakouts
• Attribute Measurement
• Attribute Gage Breakout
• Comparative Tools
• Control Charts, ANOVA and Regression Analysis
• X-Bar and R Chart Breakout
• Summarizing MSA Techniques

Course Sequence: MSA