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 \( (x, y) = \text{(solution obtained from computations)} \).
In a Linear Programming Problem (LPP), the objective function $Z = 2x + 5y$ is to be maximized under the following constraints:
\[ x + y \leq 4, \quad 3x + 3y \geq 18, \quad x, y \geq 0. \] Study the graph and select the correct option.
For a Linear Programming Problem, find min \( Z = 5x + 3y \) (where \( Z \) is the objective function) for the feasible region shaded in the given figure.