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Introduction to Optimal Design of Experiments
Presenter: John Noguera
Registration Link - https://attendee.gotowebinar.com/register/5054338852206446423?source=Web+Page+June+2025+ISSSP+Webinar
Abstract
We will introduce the power of Optimal design of experiments, covering the most popular I, D and A designs with practical examples. The advantages and disadvantages of Optimal versus Factorial and Central Composite Response Surface Designs will be discussed. Optimal designs give maximum information for a specified model with minimal runs and can handle factor constraints and a mix of continuous and categorical factors. Whereas Classical designs have desirable properties such as orthogonality for Factorial and uniform precision and rotatability for Central Composite designs. SigmaXL software will be used to demonstrate these designs.
About John
John Noguera is Co-founder and Chief Technology Officer of SigmaXL, Inc., a leading provider of user-friendly Excel add-ins for Lean Six Sigma tools, statistical & graphical analysis, and Monte Carlo simulation. He leads the development of SigmaXL and DiscoverSim with a passion for ease of use, practical & powerful features, and statistical accuracy. John is a certified Six Sigma master black belt and was an instructor at Motorola University. He has authored conference papers on Statistical Process Control and Six-Sigma Quality and is a contributing author in the Encyclopedia of Statistics in Quality and Reliability (Wiley).
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