Achieving Reliability Through Design of Experiments

This presentation serves as a guide on the design of experiments (DOE) aimed at enhancing reliability through effective screening, characterization, and optimization of influential factors. It outlines methodologies such as two-level factorial designs, split-plot designs for hard-to-change factors, and response surface methods (RSM). The content includes case studies illustrating the application of these methodologies, such as a two-level factorial design that resulted in a significant increase in bearing life, and a split-plot design that effectively reduced corrosion. Additionally, the presentation discusses the use of Weibull regression for analyzing data and highlights the advantages of multifactor testing in improving reliability outcomes. The guide emphasizes the importance of randomization in experimental design and provides practical insights into applying these techniques in various engineering contexts. The overall objective is to equip reliability engineers with the necessary tools to achieve robust performance through informed experimentation.