Multifactor methods for accelerating process improvement
Ready to begin harnessing the power of DOE for your own R&D efforts? Jump in to our intro course to learn why DOE works, how to use factorial designs, and gain experience navigating Stat-Ease software. Your instructor will walk you through how to set up an ideal experiment for process-factor screening or characterization of interactions, and how to analyze the results. This class gets you off to a fast start for applying highly effective and efficient multifactor experiments via sound statistical methods.
Take this course the same week as Basics of Response Surface Methodology (RSM) or Fundamentals of Mixture DOE for a comprehensive experience!
Courses are held via Zoom, and attendees will need a copy of Stat-Ease software to participate in the hands-on activities.
All modules are $295 per person ($95 for academics).
A $50 discount per person is available if you register for more than 1 course or register more than 1 person for the same course.
Upcoming dates/times:
Multifactor methods for accelerating process improvement.
9:00am - 12:30pm (USA Central Time)
Regular price $295.
Multifactor methods for accelerating process improvement.
1:00 - 4:30pm (USA Central Time)
Regular price $295.
Multifactor methods for accelerating process improvement.
9:00am - 12:30pm (USA Central Time)
Regular price $295.
Multifactor methods for accelerating process improvement.
1:00 - 4:30pm (USA Central Time)
Regular price $295.