Abstract

This paper proposes a “High Quality Assurance CAE Analysis Model” as part of principle-based research aimed at the innovation of design and development processes to ensure quality assurance in these processes employing statistical science. This model’s effectiveness is demonstrated with application examples within the automotive industry. In order to enable the simultaneous achievement of Quality, Cost and Delivery (QCD) to satisfy the requirements of developing and producing high quality products while also reducing the cost and development period, it is necessary to initiate a transition from the conventional prototype testing method to a predictive evaluation method utilizing this model.