The chapter discusses how to design experiments efficiently when dealing with many variables. By using two-level fractional factorial designs, researchers can estimate parameters accurately with fewer experimental runs. This approach allows for the exploration of multiple variables without needing a large number of experiments. The key idea is to select a subset of experiments from a complete factorial design to estimate desired parameters effectively. This method simplifies the experimental process and saves time and resources.