ABSTRACT

Parameter design for dynamic characteristics In practice, we must continually pursue robust and on-target performance for a product or a process. Taguchi’s static parameter design approach allows us to improve the robustness of the quality characteristic (with a fixed performance target) of a product or process. However, in many cases, the target of a product or process may depend on different application circumstances. For example, in a metal plating system, we may produce varied plating thicknesses for distinct parts or produce based on particular company requirements. In such a situation, the target value (output) is known to be different each time, based on different product input signals. Therefore, the manufacturing engineer must adjust the parameter settings so that the output value can be satisfied every time the product requirements change. To address this type of problem, Taguchi proposed the dynamic parameter design method to optimize the system, which meets many requirements at once. That is, Taguchi’s dynamic method aims to optimize the system around a function (which is described as an input-output relationship), not only a fixed number.