ABSTRACT
This chapter presents the basic and modern approaches to the modeling and design of engineering structures in a concise manner. Design of Experiments (DOE) is a helpful tool for finding new processes, trying to learn more about the existing processes, and optimizing them for an excellent performance. The selection of a DOE approach relies on the experiment’s goals and the number of factors to be considered. The most popular response surface design is a central composite design, which creates a factorial design. The chapter explains the most widely used approaches. These approaches are Randomized Complete Block Design, Full Factorial, Fractional Factorial, Central Composite, Box-Behnken, Taguchi, Latin Hypercube, and D-Optimal Design. Box-Behnken Design is based on the cube edge midpoints rather than the corner points, lead to fewer runs; however, apart from the Central Composite Design, all runs must also be done. Taguchi methods, or sometimes called robust design methods, are statistical methods.
