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In design and manufacturing, experimentation is very important in establishing, controlling and improving a product/process. The challenge is optimizing parameters to get the best output. Design of experiments (DOE) is a methodology for systematically applying statistics to experimentation so that with less number of experiments one is able to find the best setting/parameter
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.
