Let's assume that mixture contains X bags of brands P and Y bags of brands Q.
Cost of 1 bag of brands P =250 Rs
Cost of 1 bag of brands Q =200 Rs
So, Total cost (C) =250X+200Y Rs ...(1)
Now, brands P contains 3 units and brands Q contains 1.5 units of nutritional element A.
So, Total nutritional element A =3X+1.5Y units
Since, minimum requirement of nutritional element A is 18 units.
∴3X+1.5Y≥18
⇒2X+Y≥12 ...(2) (After dividing by 1.5 both side)
Again, brands P contains 2.5 units and brands Q contains 11.25 units of nutritional element B.
So, Total nutritional element B =2.5X+11.25Y units
Since, minimum requirement of nutritional element B is 45 units.
∴2.5X+11.25Y≥45
⇒2X+9Y≥36 ...(3) (After dividing by 1.25 both side)
Also, brands P contains 2 units and brands Q contains 3 units of nutritional element C.
So, Total nutritional element C =2X+3Y units
Since, minimum requirement of nutritional element C is 24 units.
∴2X+3Y≥24 ...(4)
Since, amount of brands can never be negative.
So, X≥0,Y≥0 ...(5)
We have to minimise the cost of mixture given in equation (1) subject to the constraints given in (2),(3), (4) and (5).
After plotting all the constraints, we get the feasible region as shown in the image.
Corner points | Value of Z=250X+200Y |
A (0,12) | 2400 |
B (3,6) | 1950 (minimum) |
C (9,2) | 2650 |
D (18,0) | 4500 |
Now, since region is unbounded. Hence we need to confirm that minimum value obtained through corner points is true or not.
Now, plot the region Z<1950 to check if there exist some points in feasible region where value can be less than 1950.
⇒250X+200Y<1950
⇒5X+4Y<39.
Since there is no common points between the feasible region and the region which contains Z<1950 (See the image). So 1950 is the minimum cost.