Duration
1 day
Overview
Expand your knowledge of basic 2 level full and fractional factorial designs to those that are ideal for process optimization. Learn how to use Minitab’s DOE interface to create response surface designs, analyze experimental results using a model that includes quadratics, and find optimal factor settings. Learn how to experiment in the real world by using techniques such as sequential experimentation that balance the discovery of critical process information while being sensitive to the resources required to obtain that information. Learn how to find factor settings that simultaneously optimize multiple responses.
Topics covered in the training material include: Central Composite and Box-Behnken Designs, Calculations for Steepest Ascent, Overlaid Contour Plots, Multiple Response Optimization
Prerequisite
Minitab Essentials and Factorial Designs
Outline
Central Composite and Box-Behnken Designs
Sequential Experimentation
Multiple Response Optimization
Programme scope, delivery arrangements and suitability are confirmed during enquiry.