Step 1: Identify constraint lines.
Convert inequalities to equations for plotting: \[ 3x + y = 9, \quad x + y = 7, \quad x + 2y = 8. \]
Step 2: Find intersection points.
Solving for intersection points:
1. Solve \( 3x + y = 9 \) and \( x + y = 7 \).
2. Solve \( x + y = 7 \) and \( x + 2y = 8 \).
3. Solve \( 3x + y = 9 \) and \( x + 2y = 8 \).
Step 3: Identify feasible region.
Graph all lines and shade the feasible region satisfying constraints.
Step 4: Compute Z-values at corner points.
Evaluate \( Z = 2x + y \) at each intersection point to find the minimum.
Final Answer: Minimum \( Z \) value occurs at \( (x, y) = \text{(solution obtained from computations)} \).
Solve the following linear programming problem graphically:
Maximize \( z = x + y \), subject to constraints:
\[ 2x + 5y \leq 100, \quad 8x + 5y \leq 200, \quad x \geq 0, \quad y \geq 0. \]