Taguchi methods are a statistical approach to improving the quality of manufactured goods through robust design, focusing on minimizing variation and sensitivity to external factors. They emphasize the use of orthogonal arrays and signal-to-noise ratios to systematically and efficiently explore the effects of multiple variables on product performance.