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The IUP Journal of Systems Management
Advanced Application of Taguchi's Loss Function
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Taguchi's loss function has immensely contributed to reduction of losses incurred by the society. It has been successfully used in services and manufacturing industries and has helped in reducing losses caused by variation of desired characteristics. This study shows that its application in various fields has helped in better decision making, quality improvement and highlighted its advantages over the traditional theory of quality.

 
 

Taguchi's loss function is a widely researched topic in operations management and it has given a new dimension to measure loss. It has got wide industrial application from manufacturing to services industries. In this paper, an attempt has been made to review the application of Taguchi Loss Function (TLF) and highlight its advantages and disadvantages.

Customers have always been demanding quality products, and meeting their expectations has been a challenge for the suppliers. Customers' desire for quality products created the need for quantification and establishment of quality standards, which came into picture in the 20th century. Different researchers have given different definitions of quality.

Crosby defined quality as "conformance to requirement". According to Feigenbaum, quality can be defined as "the total composite product and service characteristics of marketing, engineering, manufacturing and maintenance through which the product and service in use will meet the expectation of the customer." Quality has been defined as "fitness for use" by Juran, and as "quality of product" by Ishikawa. The most interesting definition was given by Shewhart, who brought into picture both subjective (what the customer wants) and objective (properties of the product, independent of what the customer wants) aspects of quality.

Taguchi devised a quadratic function which could quantify the loss to the society if the products deviate from their target value. This quadratic function is termed as Taguchi's loss function. He brought into picture the influence of outside force (termed as noise) on the process and established `signal-to-noise ratio' to measure the quality of the products. Signal-to-noise ratio measures the loss in terms of performance, while the loss function measures it in terms of cost.

 
 

Systems Management Journal, Taguchi Loss Function, Traditional Theory, Automobile Industry, Variable Sampling, Polymerase Chain Reaction, Healthcare Management, Decision Making Process, Financial Management, Manufacturing Industries, Metal Cutting Operations, Traditional Economic Model.