Taguchi Methods are a set of statistical techniques developed by Dr. Genichi Taguchi to improve product quality and performance. These methods focus on designing experiments to identify factors that affect variability in manufacturing processes, allowing for more consistent and reliable outcomes. The core principle of Taguchi Methods is to minimize variation while maintaining performance, often through robust design. This involves using techniques like Orthogonal Arrays for efficient experimentation and Signal-to-Noise Ratios to evaluate the quality of different designs, ultimately leading to cost-effective improvements in production.