Screening Techniques in DOE

Screening Techniques in DOE

In preliminary research phases, the number of potentially influential factors to investigate is usually large. Screening designs are essential to identify the most influential factors with a reasonable number of runs in preliminary research phases.

      • 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 have a working knowledge of the construction of general full factorial designs (main effects, interactions, etc.) and analysis of Variance (ANOVA), or, equivalently, must have attended the courses: Fundamental Tools in Statistics
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)

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