A case study on using quadratic loss functions and signal noise ratios for multiple quality characteristics

The Taguchi method is a useful technique to improve the performance of products or processes at a lower cost and in less time. The Taguchi method focused on a single characteristic to optimize the parameter conditions. In practice, most products and processes have more than one quality characteristic. Quality characteristics in industrial applications are static or dynamic characteristics. Several approaches have been applied to optimize the parameter design including static quality characteristics. However, little attetion has been focused on optimizing the multiple dynamic quality characteristics. In this thesis, a conditional statistical formula corresponding to the model is derived from Taguchi? s quadratic quality loss function to minimize the expected total cost for the parameter design of multiple dynamic quality characteristics simultaneously. An example demonstrating this approach is illustrated. Key Words: a) Loss Function, b) Multiple Quality Characteristics c) Static Systems d) Dynamic Systems e) Taguchi Method f) Conditional Distrubutions