Mlsd Design of Experiments 16888 E77 A collection of statistical techniques providing a systematic way to sample the design space Useful when tackling a new problem for which you know very little about the design space Study the effects of multiple input variables on one or more output parameters Often used before setting up a formal optimization problem Identify key drivers among potential design variables Identify appropriate design variable ranges Identify achievable objective function values Often, DOE is used in the context of robust design. Today we will just talk about it for design space exploration C Massachusetts Institute of Technology - Prof de Weck and Prof Willcox Engineering Systems Division and Dept of Aeronautics and Astronautics3 © Massachusetts Institute of Technology - Prof. de Weck and Prof. Willcox Engineering Systems Division and Dept. of Aeronautics and Astronautics Design of Experiments Design of Experiments • A collection of statistical techniques providing a systematic way to sample the design space • Useful when tackling a new problem for which you know very little about the design space. • Study the effects of multiple input variables on one or more output parameters • Often used before setting up a formal optimization problem – Identify key drivers among potential design variables – Identify appropriate design variable ranges – Identify achievable objective function values • Often, DOE is used in the context of robust design. Today we will just talk about it for design space exploration