Respuesta :
Profit maximising total cost is $22000.
The question says, 'maximize the profit', but per unit, profit figures are not given, only per unit.
Cost is given. So, we will assume that minimizing total cost is equivalent to maximizing total profit.
Let the number of vaccines administered be x for Vaccine A and y for Vaccine B. Then,
Total cost, z = 22x + 13y. This is the objective function
Constraints:
Number of Vaccine A administered must be less than 1000 => x < 1000.
The number of Vaccine B administered must be less than 750 => y < 750
The number of Vaccine A administered must be less than the number of Vaccine B administered => x <
Naturally, both x and y must be non-negative.
Thus, the Linear Programming Problem is:
Minimize z = 22x + 13y
Subject to
x < 1000
y < 750
x<y
x, y z C
The last constraint => the points to be considered are confined to the first quadrant.
x < 1000 covers all points to the left of the line parallel to the y-axis at a distance of 1000 units to the
right of the y-axis.
y < 750 covers all points below the line parallel to the x-axis at a distance of 750 units above the x-axis.
x < y covers all points below the 45 line.
Thus, the feasible region is bounded by the polygon OPQRO, where, O is the origin, P(750, 750) is
The point at which the 450 line intersects the line y = 750, Q(1000, 750) is the point at which the line x
= 1000 intersects the line y = 750 and R(1000, 0) is the point at which the line y = 750 intersects the
X-axis
Substituting the coordinates of these points in the objective function, z = 22x + 13y, we have:
Zo = 0; Zp = 26250; zo = 31750; and ZR = 22000
Clearly, ZR = 22000 is the minimum
Thus, profit maximising total cost is $22000.
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