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Sensitivity analysis and shadow prices play a crucial role in Operations Research, providing valuable insights that enhance decision-making processes. They offer a deeper understanding of how changes in parameters and constraints impact the optimal solution, objective function value, and resource allocation.

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Sensitivity analysis helps assess the risk associated with decisions made based on the model. By considering different scenarios and how they affect the optimal solution, decision-makers can understand potential risks and develop risk mitigation strategies.

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Sensitivity analysis allows decision-makers to explore how sensitive the optimal solution is to changes in input parameters. By identifying parameters with the most significant impact, decision-makers can make more robust decisions that take into account potential variations and uncertainties.

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