Question
Question: Consider the following linear programming problem: Maximize \[12X + 10Y\] Subject to: \[\begin{a...
Consider the following linear programming problem:
Maximize 12X+10Y
Subject to: 4X+3Y≤480 2X+3Y≤360 allvariables≥0
Which of the following points (X,Y) could be a feasible corner point?
A) (40,48)
B) (120,0)
C) (180,120)
D) (30,36)
E) None of these
Solution
Here we will firstly take the first constraint equation and find the points from which the line is passing. Then we will take the second constraint equation and find the points from which this second line is passing. Then we will plot these lines in a Cartesian plane and show the feasible region. Then we will simply choose the required corner points of the feasible region.
Complete Step by step Solution:
The equation to maximize is 12X+10Y.
Given constraints, the equations are 4X+3Y≤480,2X+3Y≤360.
Firstly we will plot these lines on the Cartesian plane.
So we will take the first equation i.e. 4X+3Y≤480 and find the points from where the line passes. Therefore, we get
Substitute X=0 in the equation, we get 3Y=480 by solving this we get Y=160. Hence the point is (0,160).
Substitute Y=0 in the equation, we get 4X=480 by solving this we get X=120. Hence the point is (120,0).
Therefore, the line 4X+3Y≤480 passes through the points (0,160), (120,0).
Now we will take the second equation i.e. 2X+3Y≤360 and find the points from where the line passes. Therefore, we get
Substitute X=0 in the equation, we get 3Y=360 by solving this we get Y=120. Hence the point is (0,120).
Substitute Y=0 in the equation, we get 2X=360 by solving this we get X=180. Hence the point is (180,0).
Therefore, the line 2X+3Y≤360 passes through the points (0,120), (180,0).
Now we will plot these lines on the Cartesian plane and shade the feasible region. Therefore, we get
We can clearly see that the corner points of the feasible region are (0,120) and (0,120).
So, option B is the correct option.
Note:
Feasible region is the search space or the solution space where the value of the objective function is optimal. Maximum and the minimum value of the objective function are generally at the corner points of the feasible region. While calculating the points we have to put the value of each of the variables as zero to find the value of the points on the axis from which the line is passing. We should know the meaning of this sign ≤ that it means the region is toward the origin of the Cartesian plane and for the sign ≥ means the region is away from the origin of the Cartesian plane.