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A farmer mixes two brands P and Q of cattle feed. Brand P, costing Rs 250 per bag, contains 3 units of nutritional element A, 2.5 units of element B and 2 units of element C. Brand Q costing Rs 200 per bag contains 1.5 units of nutritional element A, 11.25 units of element B, and 3 units of element C. The minimum requirements of nutrients A, B and C are 18 units, 45 units and 24 units respectively. Determine the number of bags of each brand which should be mixed in order to produce a mixture having a minimum cost per bag? What is the minimum cost of the mixture per bag? 

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Let the farmer mixes x bags of brand P and y bags of brand Q. We construct the following table:

Brands Number of bags Element A (units) Element B (units) Element C (units) Cost (per bag)
P x 3x 2.5x 2x 250x
Q y 1.5y 11.25y 3y 200y
Total x + y 3x + 1.5y 2.5x + 11.25y 2x + 3y 250x + 200y
Minimum Requires 18 45 24

So, our problem is minimize Z = 250x + 200y …(i) 

Subject to constraints 3x + 1.5y ≥ 18 

⇒ 2x + y ≥ 12 …(ii) 

2.5x + 11.25y ≥ 45 

⇒ 2x + 9y ≥ 36 …(iii) 

2x + 3y ≥ 24 …(iv) 

x ≥ 0, y ≥ 0 …(v) 

Firstly, draw the graph of the line 3x + 1.5y = 18 

Secondly, draw the graph of the line 2.5x + 11.25y = 45 

Thirdly, draw the graph of the line 2x + 3y = 24 

On solving equations 3x + 1.5y = 18 and 2x + 3y = 24, we get C(3, 6). 

Similarly, on solving equations 2.5x + 11.25y = 45 and2x + 3y = 24, we get B(9, 2). 

The corner points of the feasible region are A(18, 0), B(9, 2), C(3, 6) and D (0, 12). (See below figure)

The values of Z at these points are as follows:

As the feasible region is unbounded, therefore 1950 may or may not be the minimum value of Z. 

For this, we draw a graph of the inequality 250x + 200y < 1950 or 

5x + 4y < 39 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 5x + 4y < 39. 

Therefore, the minimum value of Z is 1950 at C(3, 6). 

Thus, 3 bags of brand P and 6 bags of brand Q should be used in the mixture to minimize the cost to Rs. 1950.

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