Shari Kraber and Mark Anderson of Stat-Ease
Design of Experiments for Design for Six Sigma
This workshop is a must for Design for Six Sigma (DFSS)! Learn how to use DOE to create products and processes robust to varying conditions, and tolerance analysis to assure your specifications are met.
Together, DOE and tolerance analysis lead to ideal products and processes:
- DOE helps to identify factor levels that maximize the performance of a response and minimize the effect of uncontrolled variables. It also identifies factors that have no significant effect on performance, allowing tolerances to be relaxed-leading to reduced costs.
- Tolerance analysis pinpoints the factors that are critical to process capability. It also reveals the impact of reducing the variation transmitted from factors to responses.
Discover how to take your DOE knowledge to the next level, making improved design decisions that lead to defect-free products. Apply the techniques you learn to minimize expensive design rework and accelerate product scale-up and commercialization.
Anyone with prior DOE experience and the desire to create an ideal product or process should attend.
Level – Basic to Intermediate
About the Presenters:
Shari Kraber, PE, CQE, MS Shari is a statistical consultant with Stat-Ease, Inc. She worked for many years "in the trenches" of manufacturing as a process engineer and engineering supervisor for 3M and Frigidaire. As a process engineer, Shari mastered the statistical tools of design of experiments (DOE). Her industry experience ranges from appliance manufacturing to tape-making to warehouse and distribution services. Shari has performed DOEs on ultrasonic welding, foam insulation, cabinet assembly, winders, slitters, and packaging equipment. She now devotes her considerable energy, experience and leadership skills to workshops on DOE, teaching others how to make breakthroughs.
Professional Credentials:
- Professional Engineer (PE), #26402 MN
- Certified Quality Engineer, #35470
Education:
- Bachelor of Science in Industrial Engineering, Iowa State University, 1989
- Masters of Science in Applied Statistics, Rochester Institute of Technology (RIT), 2003
Mark J. Anderson, PE, CQE, MBA Mark is a principal and general manager of Stat-Ease, Inc. Prior to joining the firm, he spearheaded an award-winning quality improvement program for an international manufacturer, generating millions of dollars in profit. Mark offers a diverse array of experience in process development, quality assurance, marketing, purchasing, and general management. Prior to joining Stat-Ease, Mark was General Manager for WR Medical Electronics, a medical device manufacturer. Mark is also co-author of two books, http://www.statease.com/doe_simp.html "DOE Simplified: Practical Tools for Effective Experimentation" and
http://www.statease.com/rsm_simplified.html
RSM Simplified: Optimizing Processes Using Response Surface Methods for Design of Experiments,"and has published numerous articles on design of experiments (DOE).
Professional Credentials:
- Professional Engineer (PE), #015059 MN
- Certified Quality Engineer (CQE), #20446
Education:
Bachelor of Chemical Engineering, University of Minnesota, 1975, High Distinction
MBA, University of Minnesota, 1980, Beta Gamma Sigma (honorary academic society)