In: Operations Management
[6.4] Solve the following linear program by a graphical method:
Maximize 3x1 + 3x2 + 21x3
subject to 6x1 + 9x2 + 25x3 <= 15
3x1 + 2x2 + 25x3 <= 20
x1 , x2 , x3 >= 0
(Hint: utilize the dual problem.)
Dual of the problem is following:
Minimize 15y1+20y2
s.t.
6y1+3y2 >= 3
9y1+2y2 >= 3
25y1+25y2 >= 21
y1, y2 >= 0
Solution using graphical method is following:
Optimal solution of the dual is:
y1 = 0.84
y2 = 0
The objective function at the optimal intersects only constraint 3 . Therefore, constraiint 3 is the binding constraint and the other two constraints are non-binding. So dual price of constraint 1 and 2 = 0
To find the dual price of constraint 3, increase its RHS by 1 unit and note the difference in the objective value.
the new point of intersection (optimal point) = 22/25 = 0.88
New objective value = 15*.88+20*0 = 13.2
Increase in objective value = 13.2 - 12.6 = 0.6
Which means the dual price of constraint 3 is 0.6
According to duality theorem, the solution of the primal is the dual price of the dual
So, optimal solution of the primal is:
x1 = 0 (dual price of constraint 1 of the dual)
x2 = 0 (dual price of constraint 2 of the dual)
x3 = 0.6 (dual price of constraint 3 of the dual)
Objective value = 12.6 (objective value of primal and dual is the same)