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Description

This experimental design (DOE) course demonstrates how to optimize process and product performance.  Master the 5 design characteristics that make factorial experimentation more efficient and successful than any other approach. Apply the 7 step method to execute the sampling plan to determine cause and effect relationships in your process.  Discover main and interaction effects, quantify them, then leverage the experimental results to model the input-output relationships.  Use data visualization graphics and numerical response optimization methods to achieve optimal performance. In this 4th course to becoming a certified Industrial Data Analyst, you’ll be doing not watching, as we analyze experiments from Tarkett Flooring, Valspar, Corning, Inc., Merek, Ethicon, Sigma Millipore, Dow Chemical and more.

You’ll learn all the Factorial Design of Experiments tools needed to improve your process!

  • Main Effect and Interaction Plots to visualize effects

  • Response Optimizer to find your best performance

  • Contour Plots to visualize two variable effects

  • Error Estimation techniques for statistical significance

  • Two-level Designs for experiment run efficiency

  • Fractional Factorials for multivariate experiments

  • Blocking and Analysis of Covariance for reducing noise

  • Lenth’s Method for screening experiments

  • Model Reduction and Validation techniques

Peers

Participants include other engineers, technicians and scientists providing a great networking opportunity.

Exclusive

In addition to the workshop, there are three personal 1:1 sessions available with your trainer.

Testimonials

“You can tell the trainer is passionate about his work and it rubs off on the class.  One of the best training facilitators I have had the pleasure to work with.”

“The training uses a good communication model. Theory, practice then work an exercise on our own and review. We did this for each major chapter and it worked really well. Kept my interest!”

“We discovered huge opportunities in our historical data and they had been sitting there for years, right under our nose!  I am excited to move on to my next project and so is my company.”

“ Great class!  I can’t wait to sign up for the next topic.”

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