Design of Experiments (DOE-I)

Design of Experiments (DOE-I)

Number of days:4
Fee: € 1950

Recommended preparatory course:

Backing up decisions by means of classical statistical tools
Fee: € 300
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COST-EFFICIENT RESEARCH
Research & Development: searching for new products and improving existing processes. This can be accomplished efficiently and optimally only in one way: the way of Experimental Design. Experimental Design, alias Design of Experiments (DOE) or Statistical Design of Experiments (SDE), not only guarantees reaching the preset goal, but on top costs a minimum number of experiments ... on condition that one takes into account the characteristics of the field of application. The optimal strategy of experimenting will be different in chemical industries as compared to for example the automotive industry. This explains the specific context of this course.

COURSE SET-UP
In this course the topics listed below will be theoretically treated, and illustrated with 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 analysing simulated data and reporting the results.

COURSE INCLUSIVE FOLLOW-UP COACHING
Each participant to DOE-I is offered free individual follow-up coaching. Follow-up coaching means that each participant can appeal to the trainer’s expertise, after having applied the methods treated in the course to his / her own cases. This coaching comprises an individual follow-up session of two hours with the trainer, as well as follow-up support by phone.  Read more.

COURSE OBJECTIVE
At the end of the course the participants will be able to formalise a problem, find the appropriate design type and, except for complex problems, construct this design. The participants will also master the statistical analysis of standard designs for continuous variables.

INTENDED AUDIENCE AND PRIOR KNOWLEDGE
Those who want to acquire an "active" knowledge in setting up experiments according to Experimental Design theory, as well as people who want to understand both the Experimental Design principles and the results of the statistical analysis.
Participants to DOE-I are assumed to have a thorough understanding of some basic statistical techniques (normal probability plot, confidence intervals, hypothesis tests, Type I & Type II errors, power, ANOVA, regression). The 2-day course 'Statistics in Practice - A primer' is ideally suited as a preparation to DOE-I.
The required prior knowledge can however also be obtained by private study. The course material consists of the handouts of the 'Statistics in Practice' course, including problems and solutions.

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

PRACTICAL
Each course day will be held from 9 am to about 5 pm. The course dates and fees are listed on the application form. The course fee includes handouts, lunches, the individual follow-up coaching and 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.
Application is possible until 20 days before the start of the course.