||This class delineates Taguchi based quality engineering methods and computational intelligence approaches to improve product quality and process performance. The nominal values of the various dimensions and design parameters need to be determined. The parameters are chosen so as to minimize the effects on performance arising from variation in manufacturing g environment. This is called robustification. The defect rate during manufacturing shows noticeable improvement, the production cost is significantly lower, and the quality and reliability of products can be enhanced.