We are given the linear programming problem with the objective function:
\[
Z = 3x + 2y
\]
subject to the constraints:
\[
3x + y \leq 15, \quad x \geq 0, \quad y \geq 0
\]
Step 1: Plot the constraints
- The line \( 3x + y = 15 \) is the boundary of the constraint \( 3x + y \leq 15 \).
- 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 line \( 3x + y = 15 \) and the coordinate axes. We can find the intercepts by setting \( x = 0 \) and \( y = 0 \):
- When \( x = 0 \), \( y = 15 \), so the point is \( (0, 15) \).
- When \( y = 0 \), \( 3x = 15 \), so \( x = 5 \), and the point is \( (5, 0) \).
Thus, the feasible region is a triangle with vertices at:
- \( (0, 0) \),
- \( (5, 0) \),
- \( (0, 15) \).
Step 3: Evaluate the objective function at the vertices
We now calculate the value of \( Z = 3x + 2y \) at each vertex of the feasible region:
- At \( (0, 0) \):
\[
Z = 3(0) + 2(0) = 0
\]
- At \( (5, 0) \):
\[
Z = 3(5) + 2(0) = 15
\]
- At \( (0, 15) \):
\[
Z = 3(0) + 2(15) = 30
\]
Step 4: Conclusion
The maximum value of \( Z \) occurs at the vertex \( (0, 15) \), where \( Z = 30 \).
Thus, the correct answer is:
\[
\boxed{30}
\]