Screening Techniques in DOE

In preliminary research phases, the number of potentially influential factors to investigate is usually quite large. It is not uncommon to have to deal with at least 10 factors limiting the use of classic factorial designs. Screening designs are essential to identify the most influential factors with a reasonable number of runs in preliminary research phases.

This course covers the construction of such designs, the price to pay to limit the number of factor level combinations to test and the statistical analysis of such data. The use of statistical models paramount in this course.

Participants must master ANOVA and linear regression modelling to attend this course.

• • • Strengths & Weaknesses of Full Factorial Designs
    • Principles of Fractional Designs "Screening Designs"
    • Reducing the Number of Runs Efficiently
    • The Notion of Modeling in Fractional Designs
    • Integrating the Study Objective into the Design
    • Impact of Fractioning on the Design
    • Construction of Screening Designs
    • Statistical Analysis of Screening Designs
    • Other Types of Screening Designs
    • Summary

This module is primarily intended for people conducting preliminary experiments who wish to understand the impact of several factors on a given phenomenon. It is intended for anyone requiring efficient tools for selecting the most influential factors to study in later phases of the experimental process for optimisation purposes.

Participants must possess a working knowledge of the construction of general full factorial designs (main effects, interactions, etc.) and analysis of Variance (ANOVA) as well as linear regression modelling techniques, or, equivalently, must have attended the courses:

• Fundamental Tools in Statistic
• Introduction to the Design of Experiments DOE
• Linear Regression Modelling Techniques

Upon completion of this module, participants will be able to:

• • Understand the limitations of full factorial designs when the number of study factors is large
  • Choose an appropriate screening design to address specific study types & objectives
  • Construct the selected screening design with a statistical software
  • Statistical analysis of the experiment's results to assess which factors are influential
  • Interpret the results of screening designs
  • Know the advantage & drawbacks of several types of screening designs

Recommended Duration: 1 day(s)

Course Materials:

Case Studies: