SS504 Measurement System Analysis and Reliability
Reliable measurement is key to the success of any effort to dependent on measurement of data. Without validation that measurements are accurate, precise, stable and consistent from person to person, all conclusions are suspect. Organizations typically emphasize measurement accuracy and calibration. A good and essential part of measurement reliability. This 2-day course focuses on the all too often underappreciated but often even more important last three elements of measurement processes -- precision, stability and consistency from person to person (reproducibility).
Analysis of those elements is not only a strategy for defending the reliability of your data, but a powerful proactive approach to continual improvement of your measurement processes and ultimately your products or processes.
This 2-day course discusses, demonstrates and trains in simple but powerful techniques to assure and improve the accuracy, precision and consistency of your measurement processes’ effectiveness. You will learn how to set-up and conduct “gauge R&R” (repeatability and reproducibility) studies. You will also learn traditional plus practical and insightful new ways to analyze and interpret the results, what to do about them and to sustain optimized measurement processes with simple, practical approaches for monitoring their stability. The course addresses measurement of continuous variables (e.g., distance, temperature, thickness and attribute variables (e.g., number of error or defects, proportion defective). You will learn how to deal with non-destructive, semi-destructive and destructive measurement processes.
What You Cover
- Ability to design, conduct, analyze, interpret and improve measurement process for precision, stability and consistency with “gauge R&R” studies
- Practice in conducting and interpreting “gauge R&R” studies and setting-up the stability of measurement processes
- Knowledge about approaches to deal non-destructive, semi-destructive and destructive measurement processes.
- Experience with the analysis of measurement reliability of attribute variables
- Software options for automating the analysis and an Excel template for conducting them
- Participants received free time-limited versions of software for conducting measurement system analysis and general statistical analysis.
Who Should Attend
- People working with manufacturing or non-manufacturing processes
- Manufacturing, Process, Quality, Reliability and Metrology Engineers
- R&D scientists and engineers
- Product and process development and design engineers
- Marketing and business analysts
Discounts may apply, please refer to the registration page for details.
Principal Instructor: Steve Zagarola
Steve Zagarola is a founding member and managing partner of the Northwest Center for Performance Excellence (NWCPE). He is also founder of The ZDM Group, an organization dedicated to the advancement of statistically based approaches for competitive advantage. He graduated with a BS in mechanical engineering from Georgia Tech with post-graduate studies in Psychology and Statistics at Georgia Tech and Georgia State University. Mr. Zagarola is Six Sigma Master Black Belt with more than 30 years experience in the application of statistical and modern structured approaches to the optimization of manufacturing and transactional processes, quality systems, and R&D for industries ranging from food and beverage, plastics molding, wind energy, and advanced semiconductors. Prior to his current position with NWCPE, he served as the Director of Quality for Cascade Microtech, Six Sigma Program and Quality Manager for Vestas Wind Systems and Senior Manufacturing Manager for The Coca-Cola Company. He teaches Six Sigma, Statistical Process Control, Design of Experiments and other Statistical Quality methodologies and Process Excellence topics in four continents and in English and Spanish.
Co-Instructor: Aubrey Kendall
Aubrey Kendall is a supplier quality engineer at Vestas Wind Systems. He graduated with a BS in manufacturing engineering from Brigham Young University and an MBA from Clemson University. Mr. Kendall is a Six Sigma Black Belt with over 15 years of experience in manufacturing, quality, and engineering management in aerospace, energy, and other industries. His strong combination of technical skills and ease in communicating make him an effective trainer and facilitator.
A basic understanding of statistics is helpful for this course; however, the instructor will review basic statistical concepts as required for the interpretation of results.
Please contact Carmen Schwisow about bringing this course onsite.