True
False
True
False
True
False
True
False
True
False
Allowable decrease.
Allowable increase.
Reduced cost.
Shadow price.
Allowable increase.
Shadow price.
Allowable decrease.
Reduced cost.
Allowable increase.
Allowable decrease.
Reduced cost.
Shadow price.
The allowable increase in the objective value.
The allowable increase in the shadow price.
The allowable increase in the RHS value of the constraint for which the current optimal corner point remains optimal.
Decrease.
Stay the same.
Increase.
Such a change should never be made.
There will no longer be a feasible solution for the problem.
The problem needs to be solved again to get a new Sensitivity Report.
The shadow price in the report is still valid.
Analyze the impact of the introduction of a new variable.
Analyze the impact of changes in the selling price of existing products.
Analyze simultaneous changes in parameter values.
Analyze the impact of changes in the cost of resources.
Increase.
Decrease.
Stay the same.
LHS value of a ≥ constraint.
RHS value of a ≥ constraint.
Difference between the LHS and RHS values of a ≤ constraint.
Difference between the LHS and RHS values of a ≥ constraint.
The current variable values and the objective value remain the same.
The current variable values remain the same, but the objective value changes.
The current variable values and the objective value change.
Provides a better picture of how solutions change as model factors change.
Fosters managerial acceptance of the optimal solution.
Overcomes management skepticism of optimal solutions.
Answers potential managerial questions regarding the solution to an LP problem.
Range of values for objective function coefficients which do not change optimal solution.
Impact on optimal objective function value of changes in constrained resources.
Impact on optimal objective function value of changes in value of decision variables.
Impact on right hand sides of changes in constraint coefficients.
How many more units to produce to maximize profits.
The amount by which the objective function coefficient can increase without changing theoptimal solution.
How much to charge to get the optimal solution.
The amount by which constraint coefficient can increase without changing the optimal solution.
The values equate the decision variable profit to the cost of resources expended.
The values give the range over which a shadow price is accurate.
The values give the range over which an objective function coefficient can change without changing the optimal solution.
The values provide a means to recognize when alternate optimal solution exist.
All other coefficients remain constant.
Only right hand side changes really mean anything.
The X1 variable change is the most important.
The non-negativity assumption can be relaxed
Increase of 50
Increase of unknown amount
Decrease of 50
Increase of 10
Positive
Zero
Negative
Indeterminate
Optimal value of the decision variables
Slack values
Other right hand sides
Objective function value
Its objective function coefficient must increase by that amount in order to enter the basis.
It is at its simple lower bound.
It has surplus resources.
The objective function value will decrease by that value if the variable is increased by oneunit.
Is always equal to zero.
May not be unique.
May be set to any value the manager needs.
Is equal to infinity.
899.99
1050
500.01
375.01
14
17
15
16
X1 = 8, X2 = 5
X1 = 7, X2 = 4
X1 = 6, X2 = 3
X1 = 5, X2 = 2
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