A. formulate the linear programming model
Let x be the total number of units produced by machine I
Let y be the total number of units produced by machine II
Now, Let the total cost of production be represented by z
The total cost of production spent to produce is product A and B multiplied by its cost of production per hour which is $50 and $80 respectively
Cost of Production: "minZ=50x+80y"
Which means we have to minimize z
From the constraints, we derive
"20x+30y \\le1400"
"10x+40y \\le1200"
So, we have two constraints,
"x \\ge 0" and
"y \\ge 0"
We have formulated our linear program.
B. determine the optimal solution if the objective is to minimize the cost of operating the machines using graphic method to solve the problem.
Since we know that "x, y \u2265 0" . We will consider only the first quadrant.
To plot for the graph for the above equations, first I will simplify all the equations.
"20x + 30y \u2264 1400" can be simplified to "2x + 3y \u2264 140" by dividing by 10.
"10x + 40y \u2264 1200" can be simplified to "x + 4y \u2264 120" by dividing by 10.
Plot the first 2 lines on a graph in the first quadrant (like shown below)
The optimal feasible solution is achieved at the point of intersection where the units produced & cost of production constraints are active. This means the point at which the equations "2x + 3y \u2264 140" and"\\, x + 4y \u2264 120" intersect gives us the optimal solution.
The values for X and Y which gives the optimal solution is at "(20,40)" .
The minimize the cost of operating the machines,
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