SS502 Statistically Sound Process Management and Improvement
This course will ground you in the fundamentals of statistically sound and effective process control and management. Effective process monitoring and management and Statistical Process Control (SPC) requires the kind of good sound understanding that you will take away from this course. Whether your application is a process to manufacture medical devices, semi-conductors, wind turbines or improve the speed of servicing people in need of a hospital room or improve an IT service call closure rate, these methods will reveal the process’ character and provide the foundation for solving and sustaining process improvement.
Participants will learn the basic statistics behind control charts, about individuals (Xi) and Moving Range (MR) charts for variable data, and how to assess process capability and performance relative to requirements.
- Quantitatively and graphically characterize, describe and assess their process performance.
- Use and interpret run and statistical control charts for spotting trends or other types of changes to
- Exploit SPC methodology to assure the effectiveness of day to day operations, project management and improvement methods such as Lean and Six Sigma
- Participants receive free time-limited versions of software for statistical process control and general statistical analysis.
Who Should Attend
- Process owners for any type process or anyone who is responsible for developing processes and process performance reporting.
- People working with manufacturing or non-manufacturing processes
- Engineers, manufacturing personnel, non-manufacturing personnel
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.
Please contact Carmen Schwisow about bringing this course onsite.