To resolve this Linear Programming Problem (LPP), the feasible region must be identified by plotting the constraints. Subsequently, the objective function \( Z = 5x + 10y \) is evaluated at the vertices of this region.
1. Plot the Constraints:
- \( x + 2y \leq 120 \)
- \( x + y \geq 60 \)
- \( x - 2y \geq 0 \) (equivalent to \( x \geq 2y \))
- \( x \geq 0 \)
- \( y \geq 0 \)
2. Determine Intersection Points (Vertices):
- The vertices are found by solving the systems of equations formed by the intersections of these boundary lines:
1. \( x + 2y = 120 \)
2. \( x + y = 60 \)
3. \( x = 2y \)
- Solving pairs of these equations yields the following vertices:
- \( (x, y) = (60, 0) \)
- \( (x, y) = (80, 40) \)
- \( (x, y) = (60, 30) \)
3. Evaluate \( Z = 5x + 10y \) at the Vertices:
- At \( (60, 0) \): \( Z = 5(60) + 10(0) = 300 \)
- At \( (80, 40) \): \( Z = 5(80) + 10(40) = 400 \)
- At \( (60, 30) \): \( Z = 5(60) + 10(30) = 600 \)
The maximum value of \( Z \) is 600, occurring at the point \( (60, 30) \).
4. Conclusion: The maximum value of \( Z = 5x + 10y \) is 600, achieved at the point \( (60, 30) \).
% Graph for Linear Programming Problem \begin{figure}[ht] \centering \includegraphics[width=0.7\textwidth]{Feasible Region and Optimal Solution.png} \end{figure}