Engineers in manufacturing industries face many challenges such as defects in production processes, warranty claims, troubleshooting issues, as well as constant changes in manufacturing conditions, which prevent productivity improvement. This chapter discusses the shortcomings of traditional product/process experimental optimization procedures compared to Taguchi Methods. Currently, the commonly used experimental optimization methods in manufacturing industries are one-factor-at-a-time or engineering judgment approaches. The one-factor-at-a-time method changes the setting of one factor to see its effect on the output while keeping the other factors constant. This approach is commonly used in academic and scientific research. Engineers use trends to identify optimal settings of...