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Introduce variables to write and graph inequalities representing the conditions given in the question.
12 pairs of outdoor and 16 pairs of indoor shoes give $480 maximum daily profit.
Let's start with introducing variables for the number of pairs of indoor and outdoor soccer shoes made.
| Description | Variable |
|---|---|
| Number of outdoor shoes to make | o |
| Number of indoor shoes to make | i |
Let's use these variables to write inequalities representing the constraints given in the question.
In Step 1, each pair of outdoor shoes requires 2 hours of work, and each pair of indoor shoes requires 1 hour of work. The work needed to make o pairs of outdoor and i pairs of indoor shoes should not exceed the available 40 hours for Step 1. 2o+i ≤ 40
In Step 2, each pair of outdoor shoes requires 1 hour of work, and each pair of indoor shoes requires 3 hours of work. The work needed to make o pairs of outdoor and i pairs of indoor shoes should not exceed the available 60 hours for Step 2. o+3i ≤ 60
The number of outdoor and indoor shoes made is certainly not negative. o≥ 0 i≥ 0
Let's graph the inequalities corresponding to the constraints.
The graph of the linear inequality 2o+i≤ 40 is a half plane bounded by the line we get by replacing the inequality symbol with equality. 2o+i= 40 We can graph this line by finding and connecting the intercepts.
Let's plot the intercepts and draw the line.
To see which half pane to shade, we test a point. The manufacturer needs 0+0=0 hours in Step 1 to make 0 pairs of outdoor and 0 pairs of indoor shoes. This is smaller than 40 hours, so the point (0,0) is in the shaded region.
We can use similar steps to graph the inequality o+3i≤ 60. For this inequality, the boundary line crosses the axes at (0,20) and (60,0).
The inequalities o≥ 0 and i≥ 0 together mean that we only consider points in the first quadrant.
Let's now copy all graphs together on the same coordinate plane.
The feasible region is the overlapping part of the four graphs. We will need the vertices of this quadrilateral, so let's highlight these on the graph.
The maximum profit corresponds to one of the vertices, so let's find the coordinates. We can see that one of the vertices is the origin. While graphing the boundary lines, we already found the coordinates of the other vertices on the axes. (0,0) and (0,20) and (20,0) To find the fourth vertex, we need to find the intersection of the corresponding lines. 2o+i=40 & (I) o+3i=60 & (II) Rearranging equation (I) gives i=40-2o. Let's substitute this into Equation (II).
Let's substitute this into Equation (I) to find the value of i.
We can add this fourth point to our vertex list. (0,0) and (0,20) and (20,0) and (12,16)
We are given that the profit on a pair of outdoor shoes is $20, and the profit on a pair of indoor shoes is $15. We can use these values to get an expression for the profit on o pairs of outdoor and i pairs of indoor shoes. P=20o+15i
We know that the profit is maximized at one of the vertices of the feasible region we found above. Let's find the profit at vertex (12,16).
o= 12, i= 16
Multiply
Add terms
We can find the profit at the other vertices similarly.
| Point (o,i) | Expression (P=20o+15i) | Value |
|---|---|---|
| ( 12, 16) | 20( 12)+15( 16) | 480 |
| ( 0, 0) | 20( 0)+15( 0) | 0 |
| ( 20, 0) | 20( 20)+15( 0) | 400 |
| ( 0, 20) | 20( 0)+15( 20) | 300 |
We can see that the maximum daily profit the manufacturer can achieve is $480 when he makes and sells 12 pairs of outdoor and 16 pairs of indoor shoes.