To solve the linear programming problem graphically, we need to maximize the objective function Z = 50x + 15y while adhering to the given constraints. Here’s how to approach it step by step:
Step 1: Identify the Constraints
The constraints provided are:
- 5x + y ≤ 100
- x + y ≤ 60
- x ≥ 0
- y ≥ 0
Step 2: Graph the Constraints
To graph these inequalities, we first convert them into equations:
Next, we find the intercepts for each line:
- For 5x + y = 100:
- x-intercept: (20, 0)
- y-intercept: (0, 100)
- For x + y = 60:
- x-intercept: (60, 0)
- y-intercept: (0, 60)
Step 3: Plot the Lines
On a graph, plot the lines based on the intercepts. The area of interest is where the shaded regions of the inequalities overlap, which represents the feasible region.
Step 4: Identify the Corner Points
The feasible region is bounded by the lines and the axes. The corner points (vertices) of this region can be found by solving the equations:
- Intersection of 5x + y = 100 and x + y = 60
- Intersection of 5x + y = 100 and the x-axis (y = 0)
- Intersection of x + y = 60 and the x-axis (y = 0)
- Intersection of x + y = 60 and the y-axis (x = 0)
Step 5: Calculate the Intersection Points
Solving the equations:
- From 5x + y = 100 and x + y = 60, we find the intersection point (8, 52).
- From 5x + y = 100 and the x-axis, we find (20, 0).
- From x + y = 60 and the x-axis, we find (60, 0).
- From x + y = 60 and the y-axis, we find (0, 60).
Step 6: Evaluate the Objective Function
Now, we evaluate Z = 50x + 15y at each corner point:
- At (8, 52): Z = 50(8) + 15(52) = 400 + 780 = 1180
- At (20, 0): Z = 50(20) + 15(0) = 1000
- At (60, 0): Z = 50(60) + 15(0) = 3000
- At (0, 60): Z = 50(0) + 15(60) = 900
Step 7: Determine the Maximum Value
The maximum value of Z occurs at the point (60, 0) with Z = 3000. Therefore, the optimal solution to the linear programming problem is:
Max Z = 3000 at (x, y) = (60, 0)