This one-day overview 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.
The approaches discussed and employed in this course are consistent with the intent and guidelines in the MSA 4th Edition manual issued by GM, Ford and FCA through the AIAG.
Who Should Attend
- Quality Managers
- Quality System and Lab Technicians
- Management Representatives
- Internal Auditors who audit MSA
- Persons responsible for planning, using and maintaining measurement systems
- Engineers and individuals responsible for process improvement
Recommended Training and/or Experience
Participants should possess basic math skills. Though not required, it is highly recommended to take the SPC module or have an understanding of SPC prior to taking MSA.
Each participant will receive a seminar manual and a workbook including all team breakout exercises.
- Be able to define and understand a measurement system and the causes of variation, as well as qualify the sources of variation.
- Be able to analyze this data to improve the measurement system, design or choose appropriate systems for measurement, data collection and use, and to maintain these measurement systems over the life of the manufacturing process with which they are used.
- Introduction to MSA
- Objective of MSA
- Measurement Systems Variation
- Measurement Error
- Accuracy & Precision
- Gage Repeatability and Reproducibility (GR&R) Studies