In: Operations Management
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Q1 Slove the below LP model graphically and answer:
Min z = x1 +2x2
s.t. x1+x2 >= 300
2x1 + x2 >= 400
2x1 + 5x2 <= 1000
X1, x2 >= 0
2x1 + x2 >= 400
2x1 + 5x2 <= 1000
Since, such graphs with big numbers are difficult to make on page, I did it in excel.
Point A (166.6, 133.3), B (500,0), C (300,0) bounding the shaded region in blue is bounded feasible region. Look image above
Table 1:
I just depicted the Objective functions i.e. Z= X1+ 2 X2 and the constraints
C1 : X1 + X2 > = 300
C2: 2X1 + X2 >=400
C3: 2X1 + 5X2 <=1000,
Table 2: Contains end co-ordinates of C1 line i.e (0,300) (300,0)
Table 3: Contains end co-ordinates of C2 line i.e (0,400) (200,0)
Table 4: Contains end co-ordinates of C3 line i.e (0,200) (500,0)
Table 5: To calculate intersection value of C1 and C2. Point D
Table 6: To calculate intersection value of C1 and C3. Point A
Table 7: To calculate intersection value of C2 and C3. Point E
The point of intersection between the following two constraints:
2x1 + x2 >= 400 (C2)
2x1 + 5x2 <= 1000 (C3) are pt. E co-ordinates. From graph = (150,125) (4th option) Answer
Point that represents the optimal solution of the problem:
Point C (300,0) (1st option) Answer (Z=300) the most minimum at this point. (The blue cell value)
If the cost of two products (X1 & X2) becomes equal to $2, what will happen to the z :
It will double (Answer - 3rd option)
Below the orange cell i.e. B2 is converted to 2 from 1 (compare above and below images). The cost value of X2 was already 2 (cell C2). Now, we see the blue cell value becomes = 600. Previous image it was 300. Hence, it doubled.
Point D (100,200) is intersection of C1 and C2