Date: October 18, 2024
Time: 8:30am – 4:30pm
Cost: $399 (Early bird $360 if registered by October 1, 2024)
Location: Community Education Center (CEC)
4 Erie Avenue
St Marys, PA 15857

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.

Learning Targets:
  • 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
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
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 a MBA from St. Bonaventure University.

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

Attendee Information

Tickets

$360.00

Payment must be received, in full, prior to training/event start date. If the registered individual cannot attend, you may substitute another individual. At least a 2-day notice is appreciated.

If the registered individual cannot attend, or make a substitution, and wishes to cancel, a full refund will be issued with ten business days or more notice. Please note that no refund will be issued with less than a 10 business day notice.

A full refund will be given if NWIRC should cancel the training/event.

Registration Information

Booking Summary

1
x Standard Ticket
$360.00
Total Price
$360.00
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Location
Community Education Center (CEC)