Taguchi Methodologies

Taguchi methods (Japanese: タグチメソッド) are statistical methods, or sometimes called robust design methods, developed by Dr. Genichi Taguchi, the famous quality guru of 20th century; to improve the quality of manufactured goods, and more recently also applied to engineering, biotechnology, marketing and advertising etc. Dr. Taguchi's work includes three principal contributions to statistics, first being the specific quality loss function, second being the philosophy of off-line quality control; and the third being innovations in the design of experiments. Professional statisticians active in hosts of industrial domain, have welcomed the goals and improvements brought about by Dr. Taguchi’s methods, particularly the Taguchi's development of designs for studying variation. In all the taguchi methods are a set of high end tools & techniques which are yet to be adopted in its full strength among the practitioner in the industrial domain.

The taguchi methods are often applied by technicians on the Japanese manufacturing floor to improve their product and their processes. The goal is not simply to optimise an arbitrary objective function, which is how Westerners often regard them, but rather to reduce the sensitivity of engineering designs to uncontrollable factors or noise. The objective function used is the signal to noise ratio which is maximized. This moves design targets toward the middle of the design space so that external variation effects behaviour as little as possible. This permits large reductions in both part and assembly tolerances which are major drivers of manufacturing cost.

Taguchi methodology emphasises the importance of the middle (parameter design) stage in the total design process; a stage which is often neglected in industrial design practice. The methodology involves the identification of those parameters which are under the control of the designer, and then the establishment of a series of experiments to establish that subset of those parameters which has the greatest influence on the performance and variation of the design. The designer thus is able to identify the components of a design which most influence the desired outcome of the design process.

The second related aspect of the Taguchi methodology - the Taguchi loss function or quality loss function maintains that there is an increasing loss both for producers and for society at large, which is a function of the deviation or variability from the ideal or target value of any design parameter. The greater the deviation from target, the greater is the loss. The concept of loss being dependent on variation is well established in design theory, and at a systems level is related to the benefits and costs associated with dependability.

Gurukul experts are well aware of the implementation and challenges of Taguchi Methods and have successfully implemented the projects & programs at global level. We are very confident of the success with quality methodologies and your problems or programs are sure to hit the success board, should you decide to work in line with our expert’s guidance. Please feel free to contact our representatives.