Problem Solving
Design of Experiments

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About Design of Experiments

The statistical principles underlying design of experiments were largely developed by R. A. Fisher during the 1920s and 1930s. Over the past few decades, there has been a tremendous increase in the application of experimental design techniques in almost all types of industries. The work of G. Taguchi on robust design for variation reduction had a revolutionary impact on Japanese industry. Today industries all over the world use design of experiments for problem-solving and robust product development. The academic community use design of experiments extensively to prove or validate their research findings.


The participants will acquire the knowledge on 

Problem-solving using design of experiments  

Developing robust products and processes

Minimizing the variation around the target for critical performance characteristics

Usage of various types of designs namely fractional factorial experiments, Plackett Burman designs, Central Composite Designs, Box Behnken designs, Response Surface methodology, etc

Usage of various multiple response optimization techniques 

Handling of binary and count type response variables in experimentation

Hands-on experience on the usage of tools (MS Excel) for analyzing the design of experiments data

Course Content

  1. Introduction to DoE 
  2. Analysis of Variance 
  3. Factorial Experiments 
  4. Fractional Factorial Experiments 
  5. Placket Burman Designs 
  6. Analysis of experiments with binary or count response variables 
  7. Multiple Response Optimization methods 
  8. Central Composite Designs 
  9. Box Behnken Designs 
  10. Response Surface Methodology 
  11. Optimal Designs