To solve this linear programming problem, we need to optimize \( Z = 3x + 9y \) subject to the following constraints:
The feasible region is determined by the intersection of these constraints.
Constraint | Boundary Line Equation |
---|---|
\( x + 3y \leq 60 \) | \( x + 3y = 60 \) |
\( x + y \geq 10 \) | \( x + y = 10 \) |
\( x \leq y \) | \( x = y \) |
\( x \geq 0 \) | \( x = 0 \) |
\( y \geq 0 \) | \( y = 0 \) |
We find the feasible region by plotting these lines and identifying the intersection points:
Thus, the feasible region is bounded by points \( (0, 10) \), \( (0, 20) \), and \( (15, 15) \).
Calculating \( Z = 3x + 9y \) at vertices:
The maximum value of \( Z \) is 180. Since \( Z = 180 \) at both \( (0, 20) \) and \( (15, 15) \), all points on the line segment joining these two will also yield \( Z = 180 \). Thus, the maximum value of \( Z \) occurs at all points on the segment between \( (0, 20) \) and \( (15, 15) \).
To find the maximum value of \( Z = 3x + 9y \), we graph the constraints: \( x + 3y \leq 60 \) represents a half-plane below the line \( x + 3y = 60 \). \( x + y \geq 10 \) represents a half-plane above the line \( x + y = 10 \). \( x \leq y \) represents the region below the line \( x = y \). \( x \geq 0 \) and \( y \geq 0 \) restrict the solution to the first quadrant.
The feasible region is a polygon bounded by these lines. Evaluating \( Z \) at the corner points of this polygon: At \( (15, 15) \),
\[ Z = 3(15) + 9(15) = 180. \]
At \( (0, 20) \),
\[ Z = 3(0) + 9(20) = 180. \]
Since \( Z \) is linear and the line segment joining \( (15, 15) \) and \( (0, 20) \) lies within the feasible region, the maximum value of \( Z \) occurs at all points on this line segment.
A person wants to invest at least ₹20,000 in plan A and ₹30,000 in plan B. The return rates are 9% and 10% respectively. He wants the total investment to be ₹80,000 and investment in A should not exceed investment in B. Which of the following is the correct LPP model (maximize return $ Z $)?