Answer:
Explanation:
Let's use the following variables to represent the number of mid-top and high-top shoes produced per day:
x: number of mid-top shoes
y: number of high-top shoes
We want to maximize the profit function, which is given by:
P(x,y) = 13x + 16y
Subject to the following constraints:
Cutting machines: 1 minute for a mid-top shoe and 3 minutes for a high-top shoe
Stitching machines: 2 minutes for both mid-top and high-top shoes
Cutting machines can run for 4 hours (240 minutes) per day
Stitching machines can run for 5 hours (300 minutes) per day
Non-negative production: x, y >= 0
We can write the constraints in terms of the production time required for each type of shoe:
1x + 3y <= 240 (cutting machines)
2x + 2y <= 300 (stitching machines)
x, y >= 0 (non-negative production)
Now we can graph the feasible region for these constraints and find the corner points:
3y = 240 - x --> y = (240 - x)/3
y = (300 - 2x)/2
x | 0 80 120 180 240
----|-----------------------
y |
----|-----------------------
0 | 0 0 0 0 0
40 | 40 20 0 0 0
150 | 30 60 75 90 100
The profit at each corner point is:
(0, 0): P(0,0) = $0
(80, 40): P(80,40) = $2,480
(120, 0): P(120,0) = $1,560
(150, 0): P(150,0) = $1,950
(180, 0): P(180,0) = $2,340
(240, 0): P(240,0) = $3,120
The maximum profit is achieved at (80,40) where 80 mid-top shoes and 40 high-top shoes are produced per day, with a total profit of $2,480.