Chapter 9: Design for Quality; Design for Experiments (DoE)
Abstract : "Design of Experiments (DoE)" refers to a statistical methodology used in quality improvement to systematically study the impact of various input factors (variables) on a desired output (response), allowing for the identification of optimal conditions to maximize quality and performance within a process or product design, essentially helping to "design for quality" by understanding how different factors interact and affect the final result. Key points about DoE: Systematic approach: DoE involves deliberately varying multiple factors at different levels while carefully controlling other variables, enabling the analysis of individual and combined effects on the output. Statistical analysis: Data collected from the experiment is statistically analyzed to determine which factors have the most significant impact on the response, allowing for targeted adjustments to optimize the process. Benefits: Reduced experimentation time: By strategically de...