Business MathematicsNEB 2075 (old course)
Solve the following L.P. problem graphically. Maximize Z = x + y subject to constraints. x + y 3 , 2x + 3y 18 , x 6 , x 0 , y 0 .
5Answer
Solution to the Linear Programming Problem
Step 1: Identify the Objective Function and Constraints
The objective is to maximize subject to the following constraints:
Step 2: Rewrite the Inequalities for Graphical Representation
To plot the constraints, rewrite the inequalities as equations:
- (y-axis)
- (x-axis)
Step 3: Plot the Constraints
:
- When , .
- When , .
- Draw a solid line through (0, 3) and (3, 0) and shade the region above the line (since ).
:
- When , .
- When , .
- Draw a solid line through (0, 6) and (9, 0) and shade the region below the line (since ).
:
- Draw a vertical solid line at and shade the region left of the line (since ).
and :
- Only the first quadrant is considered.
Step 4: Identify the Feasible Region
The feasible region is the area where all constraints overlap. The vertices of this region are found at the intersections of the boundary lines:
- Intersection of and : Solve simultaneously: From the first equation, . Substitute into the second: This is not feasible (since ). So, check other intersections.
Intersection of and :
Intersection of and : So, the point is .
Intersection of and :
Intersection of and :
Intersection of and :
Intersection of and :
The feasible vertices are:
Step 5: Evaluate the Objective Function at Each Vertex
Calculate at each feasible vertex:
- At :
- At :
- At :
Step 6: Determine the Maximum Value
The maximum value of is 8, achieved at the point .
Discussion
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