23. A farmer mixes two brands, P and Q of cattle feed. Brand P, costing ?. 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 ?. 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 for 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?
23. A farmer mixes two brands, P and Q of cattle feed. Brand P, costing ?. 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 ?. 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 for 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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1 Answer
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Let the farmer mix x bags of brand P and y bags of brand Q, respectively
The given information can be compiled in a table as given below:
Vitamin A (units/kg)
Vitamin B (units/kg)
Vitamin C (units/kg)
Cost (Rs/kg)
Food P
3
2.5
2
250
Food Q
1.5
11.25
3
200
Requirement (units/kg)
18
45
24
The given problem can be formulated as given below:
The feasible region determined by the system of constraints is given below:
A (18, 0), B (9, 2), C (3, 6) and D (0, 12) are the corner points of the feasible region.
The values of z at these corner points are given below:
Corner Point
z = 250x + 200y
A (18, 0)
4500
B (9, 2)
2650
C (3, 6)
1950
Minimum
D (0, 12)
2400
Here, the feasible region is unbounded; hence, 1950 may or may not be the minimum value of z.
For this purpose, we draw a graph of the inequality, , and check whether the resulting half-plane has points in common with the feasi
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