Taguchi Method of Quality Control

The Taguchi Method of Quality Control is a statistical method for improving the quality of manufactured products. It was developed by Dr. Genichi Taguchi in the 1950s and 1960s. The Taguchi Method is based on the concept of robust design, which is the design of products that are insensitive to variations in manufacturing processes and environmental conditions.

The Taguchi Method uses a number of statistical techniques to identify and reduce the sources of variation in manufacturing processes. These techniques include:

• Design of experiments (DOE): DOE is used to identify the factors that affect the quality of a product and to determine the optimal levels of these factors.
• Signal-to-noise ratio (SNR): SNR is a measure of the robustness of a product to variations in manufacturing processes and environmental conditions.
• Quality loss function (QLF): QLF is a mathematical function that represents the cost of poor quality. The QLF is used to identify the costs of defects and to prioritize the reduction of defects.

The Taguchi Method has been used successfully by a number of companies to improve the quality of their products. Some of the companies that have used the Taguchi Method include:

• Toyota
• Motorola
• Sony
• General Motors

The Taguchi Method is a powerful tool for improving the quality of manufactured products. It is a systematic approach to quality control that can help companies to reduce defects, improve product quality, and increase customer satisfaction.