Exam 3: Linear Programming: Sensitivity Analysis and Interpretation of Solution

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In a linear programming problem,the binding constraints for the optimal solution are: 5X + 3Y ≤ 30 2X + 5Y ≤ 20 a.Fill in the blanks in the following sentence: As long as the slope of the objective function stays between _______ and _______,the current optimal solution point will remain optimal. b.Which of these objective functions will lead to the same optimal solution? (1)2X + 1Y (2)7X + 8Y (3)80X + 60Y (4)25X + 35Y

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The dual value and dual price are identical for a minimization problem.

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The binding constraints for this problem are the first and second. The binding constraints for this problem are the first and second.   ​  a.Keeping c<sub>2</sub> fixed at 2,over what range can c<sub>1</sub> vary before there is a change in the optimal solution point? b.Keeping c<sub>1</sub> fixed at 1,over what range can c<sub>2</sub> vary before there is a change in the optimal solution point? c.If the objective function becomes Min 1.5x<sub>1</sub> + 2x<sub>2</sub>,what will be the optimal values of x<sub>1</sub>,x<sub>2</sub>,and the objective function? d.If the objective function becomes Min 7x<sub>1</sub> + 6x<sub>2</sub>,what constraints will be binding? e.Find the dual price for each constraint in the original problem. ​ a.Keeping c2 fixed at 2,over what range can c1 vary before there is a change in the optimal solution point? b.Keeping c1 fixed at 1,over what range can c2 vary before there is a change in the optimal solution point? c.If the objective function becomes Min 1.5x1 + 2x2,what will be the optimal values of x1,x2,and the objective function? d.If the objective function becomes Min 7x1 + 6x2,what constraints will be binding? e.Find the dual price for each constraint in the original problem.

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A constraint with a positive slack value

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For a minimization problem,a positive dual price indicates the value of the objective function will increase.

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Sensitivity analysis is sometimes referred to as

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The range of feasibility measures

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A small change in the objective function coefficient can necessitate modifying the optimal solution.

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If the dual price for the right-hand side of a ≤ constraint is zero,there is no upper limit on its range of feasibility.

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Classical sensitivity analysis provides no information about changes resulting from a change in the coefficient of a variable in a constraint.

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In order to tell the impact of a change in a constraint coefficient,the change must be made and then the model resolved.

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The amount by which an objective function coefficient can change before a different set of values for the decision variables becomes optimal is the

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Which of the following is NOT a question answered by standard sensitivity analysis information?

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A negative dual price indicates that increasing the right-hand side of the associated constraint would be detrimental to the objective.

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The graphical solution procedure is useful only for linear programs involving

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Sensitivity analysis is concerned with how certain changes affect the

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If the optimal value of a decision variable is zero and its reduced cost is zero,this indicates that alternative optimal solutions exist.

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Based on the per-unit increase in the right-hand side of the constraint,the dual price measures the

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An improvement in the value of the objective function per unit increase in a right-hand side is the

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The dual price associated with a constraint is the change in the value of the solution per unit decrease in the right-hand side of the constraint.

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