Application of ANN in Six Sigma DMADV and its comparison with regression analysis in view of a case study in a leading steel industry
by A.M. Kuthe, B.D. Tharakan
International Journal of Six Sigma and Competitive Advantage (IJSSCA), Vol. 5, No. 1, 2009

Abstract: Six Sigma as a problem-solving approach has traditionally been used in fields such as business, engineering and production processes. The core of the Six Sigma methodologies is data-driven and it is a systematic approach to problem solving, with focus on customer impact. Artificial Neural Network with its predictive capacity can be a useful key tool in augmenting the effectiveness of application for DMADV. Feed-forward back propagation neural networks can be used for evolving computational models, which correlates highly complex process interdependencies for its better analysis, design and verification.

Online publication date: Mon, 30-Mar-2009

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