Step 1: Understanding the Concept:
Before minimizing anything, the feasible region (the set of points satisfying every constraint at once) must actually exist. Graph each constraint line and check where all shaded regions overlap.
Step 2: Plotting the boundary lines:
\(x+y=8\) passes through \((8,0)\) and \((0,8)\); the constraint \(x+y\ge8\) is the region ON or ABOVE this line. \(3x+5y=15\) passes through \((5,0)\) and \((0,3)\); the constraint \(3x+5y\le15\) is the region ON or BELOW this line.
Step 3: Checking for overlap:
On the line \(3x+5y=15\) with \(x,y\ge0\), the largest possible value of \(x+y\) occurs at a corner: at \((5,0)\), \(x+y=5\); at \((0,3)\), \(x+y=3\); anywhere in between is even smaller (since \(3x+5y\le15\) with \(y\ge0\) gives \(3(x+y)\le3x+5y\le15\), so \(x+y\le5\)).
Step 4: Comparing with the other constraint:
The first constraint needs \(x+y\ge8\), but the second constraint forces \(x+y\le5\) in the first quadrant. Since \(8>5\), no point can satisfy both together.
Final Answer:
The feasible region is empty, so this linear programming problem has no feasible solution, and \(z\) cannot be minimized.
\[ \boxed{\text{No feasible solution exists}} \]