The Taguchi method has been widely applied in quality management applications to identify and fix key factors contributing to the variations of product quality in manufacturing processes. This method combines engineering and statistical methods to achieve improvements in cost and quality by optimizing product designs and manufacturing processes. There are several advantages of the Taguchi method over other decision making methods in quality management. Being a well-defined and systematic approach, the Taguchi method is an effective tuning method that is amenable to practical implementations in many platforms. To build on this, there are also merits, in terms of overall system performance and ease of implementation, by utilizing the Taguchi method with some of the artificial intelligent techniques which require more technically involved and mathematically complicated processes. To highlight the strengths of these approaches, the Taguchi method coupled with intelligent techniques will be employed on the fleet control of automated guided vehicles in a flexible manufacturing setting.