Solve the following Linear Programming Problem (LPP) graphically : Maximize subject to the constraints : , , , .
Answer: The maximum value of is at and .
Step-by-step solution
Step 1: Identify the feasible region
First, we need to graph each inequality to find the feasible region. The inequalities and restrict our solution to the first quadrant. We will plot the boundary lines for the other inequalities and shade the region that satisfies all of them.
Step 2: Find the vertices of the feasible region
The vertices of the feasible region are the points where the boundary lines intersect. We find these intersection points by solving the equations of the lines. For example, the intersection of and gives . The intersection of and gives . The intersection of and gives and . The vertices are O(0,0), A(1500,0), B(1000,500), C(800,600), and D(0,600).
Step 3: Evaluate the objective function at each vertex
To find the maximum value of the objective function , we evaluate at each of the vertices of the feasible region.
Step 4: Calculate z for each vertex
We substitute the coordinates of each vertex into the objective function to find the corresponding value. The values obtained are 0, 4500, 5500, 5400, and 3000.
Step 5: Determine the maximum value
Comparing the values of calculated at each vertex, the maximum value is 5500, which occurs at the point .
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- 33. Solve the following Linear Programming Problem graphically: Maximise Z = 600x + 400y subject to the constraints x + 2y ≤ 12 4x + 5y ≥ 20 2x + y ≤ 12 x, y ≥