When: October 19, 2023
Time: 8:30 am – 4:30 pm
Where: Community Education Center (CEC)
Cost: $399 ($360 if signed up by 10/5)
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…

The measurement process and the effects of measurement variation on product quality
General concepts for properly assessing measurement systems
How to properly prepare for a measurement system study
Practices for achieving a reliable measurement system
What is measurement variation and the sources of variation inherent in a measurement system
The difference between precision and accuracy
How to determine bias, linearity, and repeatability and reproducibility
How to properly identify and isolate the source(s) of measurement system variation
Methods for reducing measurement system variation

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
About the Presenter:
Max Krug, Change Management Specialist, Future State Engineering. Max provides operational excellence services expertise to organizations with the primary objective of improving financial and operational performance. Max has 30 years of experience in operations, and his range of expertise and experience includes manufacturing operations, distribution, and project management environments. His expertise is assisting organizations achieve Operational Excellence by utilizing Theory of Constraints, Lean Management, and Six Sigma methods. He works with companies to develop corporate strategy and provides hands-on implementation support of the tactics required to achieve Operational Excellence utilizing these techniques. Max holds several certifications in Theory of Constraints, Lean, and Six Sigma in addition to a B.S. in Industrial Engineering from Alfred University and an MBA from St. Bonaventure University.

Email rkeller@nwirc.org for additional information or questions.

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