We are given the linear programming problem with the objective function:
\[
Z = 3x + 5y
\]
subject to the constraints:
\[
x + y \leq 2, \quad x \geq 0, \quad y \geq 0
\]
Step 1: Plot the constraints
- The line \( x + y = 2 \) is the boundary of the constraint \( x + y \leq 2 \).
- The constraints \( x \geq 0 \) and \( y \geq 0 \) restrict the solution to the first quadrant.
Step 2: Find the feasible region
The feasible region is the area bounded by the lines:
- \( x + y = 2 \),
- \( x = 0 \),
- \( y = 0 \).
This forms a triangle with vertices at:
- \( (0, 0) \),
- \( (2, 0) \),
- \( (0, 2) \).
Step 3: Evaluate the objective function at the vertices
We now calculate the value of \( Z = 3x + 5y \) at each vertex of the feasible region:
- At \( (0, 0) \):
\[
Z = 3(0) + 5(0) = 0
\]
- At \( (2, 0) \):
\[
Z = 3(2) + 5(0) = 6
\]
- At \( (0, 2) \):
\[
Z = 3(0) + 5(2) = 10
\]
Step 4: Conclusion
The minimum value of \( Z \) occurs at the vertex \( (0, 0) \), where \( Z = 0 \).
Thus, the correct answer is:
\[
\boxed{0}
\]