In: Operations Management
Consider the following linear programming problem
Maximize | $4X1 + $5X2 | |
Subject To | 2X1 + 5X2 ≤ 40 hr |
Constraint A |
3X1 + 3X2 ≤ 30 hr |
Constraint B |
|
X1, X2 ≥ 0 |
Constraint C |
if A and B are the two binding constraints.
(Round to ONLY two digits after decimal points)
a) What is the range of optimality of the objective function?
.......... ≤ C1/C2 ≤ ............
b) Suppose that the unit revenues for X1 and X2 are changed to $100 and $18, respectively. Will the current optimum remain the same?
............... that because the new C1/C2 is ........... which is .............. the range of optimality
c) Suppose that the unit revenue of X1 is fixed $4. What is the associated range for the unit revenue for X2 that will keep the optimum unchanged?
.......... ≤ C2 ≤ ............
d) The Shadow Price for Constraint A is ..........
e) The Shadow Price for Constraint B is .........
f) If only the capacity of Constraint A is increased from the present 40 hours to 45 hours, The increase in revenue will be = $..........
g) A suggestion is made to increase the capacities of Constraint A and B by an hour at the additional cost of $1/hr. Is this advisable?
This is advisable for .............. and the total additional net revenue per hour would be $............