Lunch provided
The focus of this course is to review and give participants an understanding of the concepts of measurement system analysis. Participants will learn the concept for assessing, measuring, and improving the reliability of the measurement system. The course will expose participants to the different sources of measurement variation and techniques to identify, isolate, and reduce measurement variation. The course is designed to help personnel understand sources of variation and the differences between inherent variation and special causes of variation.  A cause and effect diagram will be used to identify the sources of measurement variation and how measurement system variation effects decisions effecting the process.  The course will focus on how to measure bias, linearity, and repeatability and reproducibility, along with the actions necessary maintain a reliable measurement system. Participants will apply the principles using hands-on exercises to reinforce the learning.
You will learn…
COURSE OUTLINE:
Definition of the measure system and definition of a process
Introduction to concepts for assessing a measurement system
Preparing for a measurement system study
Understanding stability, bias, linearity, and repeatability and reproducibility
Conducting a measurement system study
Analysis of study results
Identifying sources of measurement variation
Using data to isolate measurement system variation
Techniques for identifying and reducing measurement variation
Measurement system improvement methods
Maintaining a reliable measurement system
Instructor: Max Krug, Eminence Consulting.Â
Parking details can be found here.
Email mreichard@nwirc.org for additional information or questions.
This event is fully booked.