Return on Software: Maximizing the Return on Your Software Investment

Optimizing a Single Alternative with Multiple Decision Variables

From an analytical perspective, optimizing a single alternative with multiple decision variables is more complex than an alternative with a single decision variable.

Cost = F(DecisionVariable₁, DecisionVariable₂, . . .)

Similar to optimizing a single alternative with a single decision variable, there is a brute-force approach and an elegant approach. The brute-force approach involves examining the function at various combinations of decision variable inputs. This may involve a systematic search of the variable ranges. For instance, with two decision variables hold DecisionVariable1 at a fixed value and run through a range of values for DecisionVariable2 then go back and repeat this ...