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Ch3 Linear Programming: Sensitivity Analysis and Interpretation of Solution



Multiple Choice
Identify the choice that best completes the statement or answers the question.
 

 1. 

A negative dual price for a constraint in a minimization problem means
a.
as the right-hand side increases, the objective function value will increase.
b.
as the right-hand side decreases, the objective function value will increase.
c.
as the right-hand side increases, the objective function value will decrease.
d.
as the right-hand side decreases, the objective function value will decrease.
 

 2. 

If a decision variable is not positive in the optimal solution, its reduced cost is
a.
what its objective function value would need to be before it could become positive.
b.
the amount its objective function value would need to improve before it could become positive.
c.
zero.
d.
its dual price.
 

 3. 

A constraint with a positive slack value
a.
will have a positive dual price.
b.
will have a negative dual price.
c.
will have a dual price of zero.
d.
has no restrictions for its dual price.
 

 4. 

The amount by which an objective function coefficient can change before a different set of values for the decision variables becomes optimal is the
a.
optimal solution.
b.
dual solution.
c.
range of optimality.
d.
range of feasibility.
 

 5. 

The range of feasibility measures
a.
the right-hand side values for which the objective function value will not change.
b.
the right-hand side values for which the values of the decision variables will not change.
c.
the right-hand side values for which the dual prices will not change.
d.
each of the above is true.
 

 6. 

The 100% Rule compares
a.
proposed changes to allowed changes.
b.
new values to original values.
c.
objective function changes to right-hand side changes.
d.
dual prices to reduced costs.
 

 7. 

An objective function reflects the relevant cost of labour hours used in production rather than treating them as a sunk cost. The correct interpretation of the dual price associated with the labor hours constraint is
a.
the maximum premium (say for overtime) over the normal price that the company would be willing to pay.
b.
the upper limit on the total hourly wage the company would pay.
c.
the reduction in hours that could be sustained before the solution would change.
d.
the number of hours by which the right-hand side can change before there is a change in the solution point.
 

 8. 

The dual price measures, per unit increase in the right hand side,
a.
the increase in the value of the optimal solution.
b.
the decrease in the value of the optimal solution.
c.
the improvement in the value of the optimal solution.
d.
the change in the value of the optimal solution.
 

 9. 

Sensitivity analysis information in computer output is based on the assumption of
a.
no coefficient change.
b.
one coefficient change.
c.
two coefficient change.
d.
all coefficients change.
 

 10. 

The amount by which an objective function coefficient would have to improve before it would be possible for the corresponding variable to assume a positive value in the optimal solution is called the
a.
reduced cost.
b.
relevant cost.
c.
sunk cost.
d.
dual price.
 



 
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