Because the management science model requires that parameters are known with certainty, sensitivity analysis is not used in practical, real-world applications of linear programming.

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Sensitivity analysis is widely used in real-world applications of linear programming to examine how the optimal solution will change when the parameters are not known with certainty. It helps managers to make more informed decisions by exploring different scenarios and identifying critical parameters that may affect the solution.

Because the Management Science Model Requires That Parameters Are Known