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Max Z = 4x1 − 2x2 Subject to: x1 + x2 <= 14, 5x1 + 2x2 >= 36, 8x1 + 2x2 >= 24, x1 + 10x2 >= 0
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Step-by-step solution
5 stepsHere's how to solve the linear programming problem using the graphical method:
The problem is:
Maximize
Subject to:
- (Non-negativity constraints)
Plot the boundary lines for each constraint.
To do this, we treat each inequality as an equality and find two points on the line.
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For :
- If , then . Point:
- If , then . Point:
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For :
- If , then . Point:
- If , then . Point:
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For :
- If , then . Point:
- If , then . Point:
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Determine the feasible region.
We use the inequality signs to determine the correct side of each line.
- : The region below or to the left of the line . (Test : , True)
- : The region above or to the right of the line . (Test : , False)
- : The region above or to the right of the line . (Test : , False)
- : The first quadrant.
Upon plotting, we observe that the constraint is redundant because any point satisfying and will also satisfy . Thus, the feasible region is defined by , , , and .
Identify the corner points of the feasible region.
The feasible region is a polygon formed by the intersection of the active constraints. The vertices are:
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Vertex A: Intersection of and . From , we get . Substitute into the second equation:
So, .
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Vertex B: Intersection of and .
So, .
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Vertex C: Intersection of and .
So, .
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Evaluate the objective function at each corner point.
The objective function is .
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At :
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At :
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At :
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Determine the optimal solution.
Comparing the values of at the corner points, the maximum value is 56.
The maximum value of is at .
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