| Linear Programming: Sensitivity Analysis and Duality
Learning Objectives
After completing this chapter, you should be able to:
- Explain how sensitivity analysis can be used by a decision maker.
- Explain why it can be useful for a decision maker to extend the analysis of a linear programming problem beyond determination of the optimal solution.
- Explain how to analyze graphically and interpret the impact of a change in the value of the objective function coefficient.
- Explain how to graphically analyze and interpret the impact of a change in the right-hand-side value of a constraint.
- Explain what a dual is.
- Formulate the dual of a problem.
- Read and interpret the solution to a dual problem and relate the dual solution to the primal solution.
- Explain in economic terms the interpretation of dual variables and the dual solution.
- Determine if adding another variable to a problem will change the optimal solution mix of the original problem.
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