Solve the following linear programming problem graphically:
Maximize Z=4X₁+4X₂,
Subject to:
3X₁ + 5X₂ ≤ 150
X₁ - 2X₂ ≤ 10
5X₁ + 3X₂ ≤ 150
X₁, X₂ ≥ 0
1) Using the line drawing tool, plot the constraints by picking two endpoints for each line. Do not plot the nonnegativity constraints.
2) Using the point drawing tool, plot the five corner points which define the feasible region.
The optimal solution is X₁ = _______ and X₂ = _______ (round your responses to two decimal places).
Maximum profit is $_______
To solve the linear programs graphically, we need to follow the below steps
Step 1 : Plot the given expressions as equations on the graph
Step 2 : Identify the feasible region considering the inequalities
Step 3 : Find the coordinates of the corner points of the feasible region
Step 4 : Find the value of objective function at each of the corner points. Wherever the value is maximum for maximization problem and minimum for minimization problem, that point is the optimal solution
Step 1 : The given equation are plotted as below and the feasible regions is identified with shaded area
Step 2 : Feasible regions is identified by the shaded region in the above graph
Step 3 : There are 5 corner points for the feasible regions as follows
A (0,30); B(18.75,18.75); C(25.38,7.69); D(10,0); E(0,0);
Step 4 : As objective function is 4x1+4x2, the value of the objective function at each of the corner points is as below
At A, the value of objective function is 4*0+4*30 = 120
At B, the value of objective function is 4*18.75+4*18.75 = 150
At C, the value of objective function is 4*25.38+4*7.69 = 132.28
At D, the value of objective function is 4*10+4*0 = 40
At E, the value of objective function is 4*0+4*0 = 0
Thus the maximum value of objective function occurs at (18.75,18.75). Hence the optimal solution is X1 = 18.75 and X2 = 18.75
Maximum profit which is the value of objective function at optimal solution is $150
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