*7.2.1 Desirability function*

Desirability function is a method of getting around the challenge of having various, occasionally conflicting, responses [20]. Each response in this strategy has a unique partial desirability function [30, 31]. The ideal point is the one with the highest value for desirability [32]. The experimenter should combine contour plots of the most significant replies with an analysis of the contour plot of the desirability surface surrounding the optimal. Strong formulation or a combination of processing circumstances will be indicated by a big area or volume of high desirability. Although the method necessitates the use of certain computer software, it is a very helpful and practical approach to optimization. DDS has also been numerically optimized using the "objective function" and "sequential unconstrained minimization technique" techniques.
