We need to make, not just one, but millions of vehicles equally Quiet with DFSS [design for six sigma]

Often a technically superior product designed at the Studio suffers from customer dissatisfaction in the field...if variations among them are observed. It is important to know what defects get created and how to control them without increasing the manufacturing inspection cost.

Professor Taguchi defined a Quality Loss Function and showed how it can be minimized for more and more customers to be satisfied with the final ROBUST product design. Only a control thru' design parameter setting is achieved here without increasing the production cost. A novel orthogonal array based Design of Experiments helps here.

Interesting examples from Automotive NVH fields and other industries are discussed as application of this DFSS technique to develop products which are robust to all kinds of variations from the supplier to environment and time!

This should be a perfect match for those working professionals, students, researchers and the Leaders who wish to understand and apply this technique which enabled many world-famous organizations to retain their market leadership over last many decades.

1. Importance of six sigma quality

2. Taguchi's Quality Loss Function

3. ANOVA [analysis of variance] in search of Robust Design

4. P-diagram to identify control parameters

5. Quality Management

6. Practical case studies from Vehicle NVH and other industries