DOE:  Screening Experiments

Objectives
Show Course Outline

Course Objectives

Unit 1:  Background for DOE

  • Why design of experiments (DOE) are more efficient and effective than one-at-a-time (OAT) experimentation.

  • What the major terms used in designed experiments mean.

  • Types of designed experiments and when they are best used.

  • How to use basic tests of significance.

  • How to plan a designed experiment.

Unit 2:  Plackett-Burman Techniques

  • How Plackett-Burman designs were derived.

  • How to determine which Plackett-Burman matrix to use for your application.

  • How to estimate the experimental error in Plackett-Burman experiments.

  • How to analyze experimental results and calculate the statistical significance of factor effects.

  • How to develop a prediction equation that can be used to optimize the response.

  • How to salvage experiments if data are lost.

Unit 3:  Taguchi Techniques

  • Why Taguchi techniques focus on the robustness of the product.

  • How the Quality (Taguchi) Loss Function is used.

  • How to calculate and use Signal to Noise ratios.

  • How Taguchi designs were derived.

  • How to determine which Taguchi design to use for your application.

  • How to use Taguchi interaction tables.

  • How to test the statistical significance of factor effects.

  • How to develop a prediction equation that can be used to optimize the response.

  • How to use mean, S/N, and variation effects to determine where to set factors.

  • How to salvage experiments if data are lost.