SS505 Intro to Design of Experiments (DOE)
This 1.5 day workshop will prepare you to unlock the secrets to your processes --- what are the key process configuration variables, their effects on the final process outputs – products, service or administrative task -- they produce and how to combine them optimally to give you the results you and your customers need. In 1.5 days you will learn how to design an experiment, how to make sure it tells you what you what to learn from it, how to find the sweet spots for the processes outputs important to you, how to define process windows, and how to look for opportunities to build-in robustness. You will not only learn the underlying the concepts important to assuring your ability to design effective experiments but will have plenty hands-on experience opportunities to practice your new skills on simulated and live processes.
What You Cover
- How to design, run, analyze and interpret meaningful studies to identify cause and effect and develop solutions to solve problems or improve processes and their outputs
- How to select study design options and strategies for accelerating the attainment of the study goals
- How exploit DOE methodology to assure the effectiveness of day to day operations, project management and improvement methods such as Lean and Six Sigma
- Participants receive course reference materials and free time-limited copies of Design Expert software for the design and analysis of designed experiments.
Who Should Attend
- People working with manufacturing or non-manufacturing processes
- Manufacturing, Process and Quality Engineers
- R&D scientists and engineers
- Product and process development and design engineers
- Marketing and business analysts
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 preferable. Concepts such as histograms, distributions, mean and standard deviation, area under the normal curve, and the central limit theorem are helpful but will be reviewed in the course. Prior training in regression analysis and hypothesis testing isn’t required as we will teach the applicable principles as part of this course; however, they provide an excellent preparation.
Please contact Carmen Schwisow about bringing this course onsite.