Exam 3: LP Sensitivity Analysis and Interpretation of Solution

arrow
  • Select Tags
search iconSearch Question
flashcardsStudy Flashcards
  • Select Tags

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

(Multiple Choice)
4.9/5
(36)

Which of the following is not a question answered by sensitivity analysis?

(Multiple Choice)
4.7/5
(35)

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

(True/False)
4.9/5
(33)

If a decision variable is not positive in the optimal solution, its reduced cost is

(Multiple Choice)
4.8/5
(40)

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

(True/False)
4.9/5
(44)

When the right-hand sides of two constraints are each increased by one unit, the objective function value will be adjusted by the sum of the constraints' dual prices.

(True/False)
4.7/5
(36)

When the cost of a resource is sunk, then the dual price can be interpreted as the

(Multiple Choice)
4.8/5
(34)

Decision variables must be clearly defined before constraints can be written.

(True/False)
4.9/5
(32)

A section of output from The Management Scientist is shown here. A section of output from The Management Scientist is shown here.   What will happen to the solution if the objective function coefficient for variable 1 decreases by 20? What will happen to the solution if the objective function coefficient for variable 1 decreases by 20?

(Multiple Choice)
4.9/5
(33)

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

(True/False)
4.8/5
(32)

Output from a computer package is precise and answers should never be rounded.

(True/False)
4.9/5
(31)
Showing 21 - 31 of 31
close modal

Filters

  • Essay(0)
  • Multiple Choice(0)
  • Short Answer(0)
  • True False(0)
  • Matching(0)