Sensitivity Analysis in Linear Programming Is Used To

Multiple Choice

Sensitivity analysis in linear programming is used to:

A) Determine the degree that the constraints vary.
B) Test the accuracy of the parameters in a model.
C) Develop the technical matrix used to determine the optimal solution.
D) Determine whether and how the optimal decision would change in response to changes in the parameters in the model.
E) Develop objective function coefficients.