Overview:
In this training program, attendees will understand when and why to apply DOE (design of experiments).
They will also learn to identify and interpret significant factor effects and 2-factor interactions and develop predictive models to explain and optimize process/product behavior. Applying efficient fractional factorial designs in screening experiments will also be discussed.
In this training program, attendees will understand when and why to apply DOE (design of experiments).
They will also learn to identify and interpret significant factor effects and 2-factor interactions and develop predictive models to explain and optimize process/product behavior. Applying efficient fractional factorial designs in screening experiments will also be discussed.
Speaker
Steven Wachs has 25 years of wide-ranging industry experience in both technical and management positions. He has worked as a statistician at Ford Motor Company where he has extensive experience in the development of statistical models, reliability analysis, designed experimentation, and statistical process control.Mr. Wachs is currently a Principal Statistician at Integral Concepts, Inc. where he assists manufacturers in the application of statistical methods to reduce variation and improve quality and productivity. He also possesses expertise in the application of reliability methods to achieve robust and reliable products as well as estimate and reduce warranty. Mr. Wachs regularly speaks at industry conferences and provides workshops in industrial statistical methods worldwide.
He has an M.A. in Applied Statistics from the University of Michigan, an M.B.A, Katz Graduate School of Business from the University of Pittsburgh, 1992, and a B.S., Mechanical Engineering from the University of Michigan.
Who Should Attend
- Operations/ Production Managers
- Quality Assurance Managers
- Process or Manufacturing Engineers or Managers
- Product Design Engineers
- Scientists
- Research & Development Personnel
- Project Managers