Sensitivity analysis in Operations Research is primarily used to:
a) Optimize the objective function
b) Determine the optimal solution
c) Analyze the impact of parameter changes on the optimal solution
d) Calculate the dual values
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c) Analyze the impact of parameter changes on the optimal solution
- Sensitivity analysis in Operations Research is used to analyze how changes in model parameters affect the optimal solution. It helps understand the impact of parameter variations on decision-making without directly optimizing the objective function or determining new optimal solutions.
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Sensitivity analysis in Operations Research is primarily used to analyze how changes in the parameters of a linear programming (LP) problem, such as coefficients in the objective function or right-hand side values of constraints, affect the optimal solution. It helps decision-makers understand the stability of the current optimal solution in response to changes in the problem's inputs. This analysis provides insights into the robustness of the solution and helps decision-makers make informed choices in dynamic or uncertain environments.