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(Diet problem): A dietician wishes to mix two types of foods in such a way that vitamin contents of the mixture contain atleast 8 units of vitamin A and 10 units of vitamin C. Food I contains 2 units/kg of vitamin A and 1 unit/kg of vitamin C. Food II contains 1 unit/kg of vitamin A and 2 units/kg of vitamin C. It costs Rs50 per kg to purchase Food I and Rs.70 per kg to purchase Food II. Formulate this problem as a linear programming problem to minimise the cost of such a mixture.

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Solution

Let the mixture contain x kg of Food I and y kg of Food II. Clearly, x0,y0. We make the following table from the given data:
ResourcesFood
I
(x)
Food
II
(y)
Requirement
Vitamins A (units/ kg)218
Vitaminc C (units/ kg)1210
Cost (Rs/ kg)5070
Since the mixture must contain at least 8 units of vitamin A and 10 units of vitamin C, we have the constraints:
2x+y8
x+2y10
Total cost Z of purchasing x kg of food I and y kg of Food II is
Z=50x70y
Hence, the mathematical formulation of the problem is:
Minimise Z=50x+70y...(1)
subject to the constraints :
2x+y8...(2)
x+2y10...(3)
x,y0...(4)
Let us the graph the inequalities (2) to (4). The feasible region determined by the system is shown in the Fig. Here again, observe that the feasible region is unbounded.
Let us evaluate Z at the corner points A(0,8),B(2,4) and C(10,0).
Corner PointZ=50x+70y
(0,8)560
(2,4)380Minimum
(10,0)500
In the table, we find that smallest value of Z is 380 at the point (2,4). Can we say that the minimum value of Z is 380? Remember that the feasible region is unbounded. Therefore, we have to draw the graph of the inequality
50x+70y<380 i.e., 5x+7y<38
to check whether the resulting open half plane has any point common with the feasible region. From the Fig, we see that it has no points in common.
Thus, the minimum value of Z is 380 attained at the point (2,4). Hence, the optimal mixing strategy for the dietician would be to mix 2 kg of Food I and 4 kg of Food II,and with this strategy, the minimum cost of the mixture will be Rs.380.
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