Design of Experiments (DOE-I)

DoE for chemical and related industries - Efficiently developing processes and products; exploration and optimization.

Course set-up

This 4-day course will guide participants from formalizing a problem, over finding and constructing the appropriate design, upto a correct statistical analysis of the experimental results. Theory alternates with hands-on computer exercises.
This course also includes an Experimental Design ‘game’: the participants go through all phases of a project: from problem analysis over choosing a design, up to analyzing simulated data and reporting the results.
Participants are assumed to have a thorough understanding of some basic statistical techniques (normal probability plot, confidence intervals, hypothesis testing, Type I & Type II errors, Power, ANOVA, Regression). The course ‘Statistics in Practice is ideally suited as a preparation to DOE-I, either as a training or in self-study.

Course Contents

  • One Variable At a Time versus Experimental Design
  • The concept of interacting variables
  • Replication, 2-level blocking variables and randomisation
  • 2-level designs: Full Factorial, Fractional Factorial, Plackett-Burman designs, Foldover designs, Confounding, Resolution
  • Multi-level Response-Surface-Model designs
  • Power calculations
  • Analysing the results with Analysis of Variance
  • Residual analysis and graphical validation
  • Visualisation of the results
  • Response transformation
  • Multi-response optimisation
  • Experimental Design game

Additional benefits

  • Free individual Follow-Up coaching
  • One year free access to the DOE in Practice guide through the Sherpa App: a step-by-step guidance when setting up experiments or analyzing data.
Design of Experiments DOE-I - CQ Consultancy

Table of Contents

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