The quality loss function proposed by Taguchi establishes a financial measure of the user dissatisfaction with a product's performance as it deviates from a target value. The desirability function approach is an attractive method in industry for the optimization of multiple quality characteristics. This is based on the idea that when the performance of a product or process has multiple quality characteristics, it is completely unacceptable for one of them to be outside of some acceptable values. The desirability function focused on predicted responses to achieve the maximum desirability value, regardless of variance. This paper discusses the relationship between quality loss function and double-exponential desirability function. When the variance is considered in the formulation of double-exponential desirability function, the result reveals that the quality loss function is a special form of the double-exponential desirability function.