How do sensitivity analyses apply in operations research?
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Sensitivity analysis in operations research evaluates how changes in model parameters affect optimal solutions, helping decision-makers understand the robustness of strategies and assess the impact of uncertainty. It reveals critical relationships and stability ranges, enhancing informed decision-making regarding resource allocation and planning.
Sensitivity analysis in operations research examines how changes in input parameters—such as costs, resource availability, or constraints—affect the optimal solution of a model. By assessing the impact of these changes, decision-makers can identify which variables have the most influence on outcomes, evaluate the robustness of the solution, and make informed adjustments to improve performance. This analysis helps in understanding the range within which the current solution remains optimal and supports strategic planning under uncertainty. Overall, sensitivity analysis enhances decision-making by providing insights into how variations in key factors can affect results.