Taguchi on Robust Technology Development

Taguchi and Robust Optimization

This report is intended to facilitate dialogue between engineers and optimizers about the eeciency of Taguchi methods for robust design, especially in the context of design by computer simulation. Three approaches to robust design are described: 1. Robust optimization, i.e. specifying an objective function f and then minimizing a smoothed (robust) version of f by the methods of numerical optimi...

PID robust control using Taguchi Method

The control of FOPD (first order plus delay) systems with high normalized time (ratio of time delay and time constant) is a very hard task, especially when the system parameters are subjected to variations. A great number of physical systems show such model behavior. In process control today, proportional integral derivative (PID) (continuous and digital) controllers still predominate and are s...

Robust Design and Taguchi Method Application

Robust Design: An introduction to Taguchi Methods

The theoretical foundations of Taguchi Methods were laid out by Genichi Taguchi, a Japanese engineer who began working for the telecommunications company, ECL (Electrical Communications Lab, a part of NT&T), in 1950’s. After World War II, his team was involved in the design of telephone system components, and successfully produced designs that performed better than their main rivals, Bell Labs,...

Robust Optimization in Simulation: Taguchi and Krige Combined

Simulation-optimization aims to identify the setting of the input parameters (input variables, factors) of the simulated system that leads to the optimal system performance. In practice, however, some of these parameters cannot be perfectly controlled — due to measurement errors or other implementation issues, and the inherent uncertainty caused by fluctuations in the environment (e.g., demand)...