Exam 4: Sensitivity Analysis and the Simplex Method

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When a manager considers the effect of changes in an LP model's coefficients he/she is performing

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Given the following Analytic Solver Platform sensitivity output what range of values can the objective function coefficient for variable X1 assume without changing the optimal solution? Given the following Analytic Solver Platform sensitivity output what range of values can the objective function coefficient for variable X1 assume without changing the optimal solution?

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Which of the constraints are binding at the optimal solution for the following problem and Analytic Solver Platform sensitivity output? Which of the constraints are binding at the optimal solution for the following problem and Analytic Solver Platform sensitivity output?   ​  Which of the constraints are binding at the optimal solution for the following problem and Analytic Solver Platform sensitivity output?   ​

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A formulation has 20 variables and 8 constraints (not counting non-negativity). How many variables are nonbasic?

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Given an objective function value of 150 and a shadow price for resource 1 of 5, if 10 more units of resource 1 are added (assuming the allowable increase is greater than 10), what is the impact on the objective function value?

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Exhibit 4.2 The following questions correspond to the problem below and associated Analytic Solver Platform sensitivity report. Robert Hope received a welcome surprise in this management science class; the instructor has decided to let each person define the percentage contribution to their grade for each of the graded instruments used in the class. These instruments were: homework, an individual project, a mid-term exam, and a final exam. Robert's grades on these instruments were 75, 94, 85, and 92, respectively. However, the instructor complicated Robert's task somewhat by adding the following stipulations: Exhibit 4.2 The following questions correspond to the problem below and associated Analytic Solver Platform sensitivity report. Robert Hope received a welcome surprise in this management science class; the instructor has decided to let each person define the percentage contribution to their grade for each of the graded instruments used in the class. These instruments were: homework, an individual project, a mid-term exam, and a final exam. Robert's grades on these instruments were 75, 94, 85, and 92, respectively. However, the instructor complicated Robert's task somewhat by adding the following stipulations:   The following LP model allows Robert to maximize his numerical grade.     -Refer to Exhibit 4.2. Constraint cell F9 corresponds to the constraint, W<sub>1</sub> + W<sub>2</sub> + W<sub>3</sub> + W<sub>4</sub> = 1, and has a shadow price of 75. Armed with this information, what can Robert request of his instructor regarding this constraint? The following LP model allows Robert to maximize his numerical grade. Exhibit 4.2 The following questions correspond to the problem below and associated Analytic Solver Platform sensitivity report. Robert Hope received a welcome surprise in this management science class; the instructor has decided to let each person define the percentage contribution to their grade for each of the graded instruments used in the class. These instruments were: homework, an individual project, a mid-term exam, and a final exam. Robert's grades on these instruments were 75, 94, 85, and 92, respectively. However, the instructor complicated Robert's task somewhat by adding the following stipulations:   The following LP model allows Robert to maximize his numerical grade.     -Refer to Exhibit 4.2. Constraint cell F9 corresponds to the constraint, W<sub>1</sub> + W<sub>2</sub> + W<sub>3</sub> + W<sub>4</sub> = 1, and has a shadow price of 75. Armed with this information, what can Robert request of his instructor regarding this constraint? Exhibit 4.2 The following questions correspond to the problem below and associated Analytic Solver Platform sensitivity report. Robert Hope received a welcome surprise in this management science class; the instructor has decided to let each person define the percentage contribution to their grade for each of the graded instruments used in the class. These instruments were: homework, an individual project, a mid-term exam, and a final exam. Robert's grades on these instruments were 75, 94, 85, and 92, respectively. However, the instructor complicated Robert's task somewhat by adding the following stipulations:   The following LP model allows Robert to maximize his numerical grade.     -Refer to Exhibit 4.2. Constraint cell F9 corresponds to the constraint, W<sub>1</sub> + W<sub>2</sub> + W<sub>3</sub> + W<sub>4</sub> = 1, and has a shadow price of 75. Armed with this information, what can Robert request of his instructor regarding this constraint? -Refer to Exhibit 4.2. Constraint cell F9 corresponds to the constraint, W1 + W2 + W3 + W4 = 1, and has a shadow price of 75. Armed with this information, what can Robert request of his instructor regarding this constraint?

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Identify the different sets of basic variables that might be used to obtain a solution to this problem. Identify the different sets of basic variables that might be used to obtain a solution to this problem.

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When a solution is degenerate the shadow prices and their ranges

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What is the value of the objective function if X1 is set to 0 in the following Limits Report? What is the value of the objective function if X<sub>1</sub> is set to 0 in the following Limits Report?

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A solution to the system of equations using a set of basic variables is called

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The shadow price of a nonbinding constraint is

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What is the smallest value of the objective function coefficient X1 can assume without changing the optimal solution? What is the smallest value of the objective function coefficient X<sub>1</sub> can assume without changing the optimal solution?   ​  What is the smallest value of the objective function coefficient X<sub>1</sub> can assume without changing the optimal solution?   ​

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If the shadow price for a resource is 0 and 150 units of the resource are added what happens to the objective function value?

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Analytic Solver Platform provides all of the following reports except

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Identify the different sets of basic variables that might be used to obtain a solution to this problem. Identify the different sets of basic variables that might be used to obtain a solution to this problem.

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What needs to be done to the two constraints in order to convert the problem to a standard form? What needs to be done to the two constraints in order to convert the problem to a standard form?

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When a solution is degenerate the reduced costs for the changing cells

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Given the following Analytic Solver Platform sensitivity output how much does the objective function coefficient for X2 have to increase before it enters the optimal solution at a strictly positive value? Given the following Analytic Solver Platform sensitivity output how much does the objective function coefficient for X<sub>2</sub> have to increase before it enters the optimal solution at a strictly positive value?

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For a minimization problem, if a decision variable's final value is 0, and its reduced cost is negative, which of the following is true?

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Which of the following statements is false concerning either of the Allowable Increase and Allowable Decrease columns in the Sensitivity Report?

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