Application of ANN in Six Sigma DMADV and its comparison with regression analysis in view of a case study in a leading steel industry

摘要

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 interdepcndcncics for its better analysis, design and verification.