About Design of Experiments
Experimental design techniques, which were largely developed by R. A. Fisher during the 1920s and 1930s, are based on statistical principles. In recent decades, there has been a significant increase in the application of these techniques in various industries. G. Taguchi's work on robust design for variation reduction had a revolutionary impact on the Japanese industry. Nowadays, companies around the world employ experimental design for robust product development and problem-solving. Additionally, the academic community extensively employs experimental design to validate research findings.
Benefits
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