Introduction

Taguchi Method refers to the collection of statistical techniques and philosophy advocated by Professor G. Taguchi. This philosophy forms the basis for the modern concept of "off-line quality control". The Taguchi Method can be viewed as an evolution of the modern quality improvement technique.

During the 1930s, manufacturers relied mostly on product inspection to improve product quality. This meant that adjustments to the process could only be made on samples of finished products; too little, too late!. Realizing that this method was costly and mostly ineffective, Statistical Process Control (SPC) came to the manufacturing forefront. Following the end of World War II, the Japanese adopted SPC in that country's efforts to rebuild its manufacturing economy. The Japanese soon became very successful at demonstrating that improved quality can be achieved at reduced cost by controlling the manufacturing processes. However, as the Japanese later found out, even with excellent process controls, manufacturing variation still will result in some product variations.

During the 1980s, Dr.Taguchi introduced the concept of achieving product quality by better product and process designs. He stressed that traditional designers had paid little attention to variation of functional performance from manufacturing variation., Therefore, Taguchi advocated his philosophy that thoroughly evaluates new products or processes for its manufacturability as well as its functional performance i.e. sensitivity to functional variation. Thus the term " robust design " was coined..

The technique for implementing this philosophy has been around for some time-- Statistical Method for Experimental Design. Today it has been widely use in various manufacturing industries in both Japan and the United States

This course delivers the Taguchi Statistical Experimental techniques and applications in a simple and practical manner, packed with examples and exercises. Most importantly, non-statisticians can easily grasp these techniques. In-class experimental design simulation exercises utilizing Taguchi's techniques are performed by participants to reinforce their understanding of DETM. These techniques enable participant to conduct these experiments within their own working environments.

Prerequisites: Statistical Process Control Technique & Scientific Calculators

Target Audience

• Manufacturing/Process Engineers and Managers


• Design engineers and Managers


• Product Engineers and Managers


• Quality Engineers and Managers


• TQM Managers


• Technical Staff

For more information and course outline (in pdf format) please click here.