Classical Design of experiments is a specialized program which combines both statistical tools and Process optimisation tools for effective problem solving. Participants will learn the limitation of one factor at a time strategy (OFAT) and the application of design of experiments (DOE) to solve complex problems.
The program aims to develop competence in application of DOE to solve complex problems and optimize the process/product parameters.
Introduction to DOE, terminology, comparative methods, Analysis of Variance (ANOVA), Limitations of One factor at a time experiments (OFAT), Screening design (Plackett-Burman), full factorial DOE, Determination of effects, Design and analysis, Response optimizer.
After completion of the program, participants are assigned a project at their workplace. Post program support will be provided by MIQ team to assist participants in applying their learning.