Q.
There are two types of fertilisers F1 and F2.F1 consists of 10% nitrogen and 6% phosphoric acid and F2 consists of 5% nitrogen and 10% phosphoric acid. After testing the soil conditions, a farmer finds that she needs atleast 14kg of nitrogen and 14kg of phosphoric acid for her crop. If F1 costs ₹ 6/kg and F2 costs ₹5/kg, determine how much of each type of fertiliser should be used, so that nutrient requirements are met at a minimum cost?
Let the farmer uses xkg of F1 and ykg of F2. We have construct the following table
Type
Quantity(in kg )
Nitrogen
Phosphoric acid
Cost(in ₹)
F1
x
10010x=101x
1006x
6x
F2
y
1005y=201y
10010y
5y
Total
x+y
10x+20y
1006x+10010y
6x+5y
Require ment(in kg )
14
14
Total cost of fertilizers, Z=6x+5y
So, our problem is to minimise Z=6x+5y...(i)
Subject to constraints are 10x+20y≥14⇔2x+y≥280...(ii) 1006x+10010y=14⇔3x+5y≥700...(iii) x≥0,y≥0...(iv)
Firstly, draw the graph of the line 2x+y=280
x
0
140
y
280
0
Putting (0,0) in the inequality 2x+y≥280, we have 2×0,0≥280 ⇒0≥280(which is false)
So, the half plane is away from the origin.
Since, x,y≥0
So, the feasible region lies in the first quadrant.
Secondary, draw the graph of the line 3x+5y=700
x
0
700/3
y
140
0
Putting (0,0) in the inequality 3x+5y≥700, we have 3×0+5×0≥700 ⇒0≥700(which is false)
So, the half plane is away from the origin.
On solving the equations 2x+y=280 and 3x+5y=700, we get B(100,80).
It can be seen that the feasible region is unbounded.
The corner points of the feasible region are A(3700,0), B(100,80) and C(0,280). The values of Z at these points are as follows
Corner point
Z=6x+5y
A(3700,0)
1400
B(100,80)
1000→ Maximum
C(0,280)
1400
As the feasible region is unbounded, therefore 1000 may or may not be the minimum value of Z. For this, we draw a graph of the inequality, 6x+5y<1000 and check, whether the resulting half plane has points in common with the feasible region or not.
It can be seen that the feasible region has no common point with 6x+5y<1000.
Therefore, 100kg of fertilizer F1 and 80kg of fertilizer F2 should be used to minimise the cost. The minimum cost is ₹1000.