Let \( x \) be the amount invested in plan A and \( y \) be the amount invested in plan B.
The problem states:
1. The return rates for plan A and plan B are 9% and 10% respectively. Therefore, the total return function \( Z \) is:
\[
Z = 0.09x + 0.1y
\]
This represents the total return from investments in both plans A and B.
2. The total investment should be at least ₹80,000, so the constraint is:
\[
x + y \geq 80000
\]
3. The investment in plan A should not exceed investment in plan B, which gives the constraint:
\[
x \leq y
\]
4. The person wants to invest at least ₹20,000 in plan A and at least ₹30,000 in plan B, so the constraints are:
\[
x \geq 20000 \quad \text{and} \quad y \geq 30000
\]
Thus, the Linear Programming Problem (LPP) model to maximize the return \( Z \) is:
\[
\text{Maximize } Z = 0.09x + 0.1y
\]
Subject to the constraints:
\[
x + y \geq 80000, \quad x \leq y, \quad x \geq 20000, \quad y \geq 30000
\]
The correct answer is option (A).