Let's assume that amount of fertiliser
F1 used be
X kg and amount of fertiliser
F2 used be
Y kg.
Since, F1 consist 10% and F2 consist 5% nitrogen. Also, farmer needs at least 14 kg of nitrogen.
∴(10 % of X)+(5 % of Y)≥14
⇒10X100+5Y100≥14
⇒2X+Y≥280 ...(1)
Again since, F1 consist 6% and F2 consist 10% phosphoric acid. Also, farmer needs at least 14 kg of phosphoric acid.
∴(6 % of X)+(10 % of Y)≥14
⇒6X100+10Y100≥14
⇒3X+5Y≥700 ...(2)
Since amount of fertilisers can't be negative.
∴X≥0,Y≥0 ...(3)
Since, F1 costs 6 Rs per kg and F2 costs 5 Rs per kg.
So, total costs (Z)=6X+5Y
We have to minimise total costs of farmer subjects to the constraints given by (1), (2) and (3).
After plotting all the constraints given by equation (1), (2) and (3) we got the feasible region as shown in the image.
Corner points | Value of Z=6X+5Y |
A (0,180) | 1400 |
B (100,80) | 1000 (minimum) |
C (7003,0) | 1400 |
Now, since region is unbounded. Hence we need to confirm that minimum value obtained through corner points is true or not.
Now, after plotting the region Z<1000 to check if there exist some points in feasible region where value can be less than 1000.
⇒6X+5Y<1000
Since there is no other points than B are common points between the feasible region and the region which contains Z<1000. So 1000 is the minimum cost.
Hence, for minimum costs, F1 should be 100 kg and F2 should be 80 kg. In this case, minimum costs to farmer will be 1000 Rs