Answer:
Karl should make 4 Flower picture frames and 1 Planets picture frame to maximize his total profit while satisfying the constraints of cost, number of picture frames, and time.
Step-by-step explanation:
Let's use x to represent the number of Flower picture frames Karl makes and y to represent the number of Planets picture frames he makes.
The profit made from selling a Flower picture frame is $10 - $4 = $6, and the profit made from selling a Planets picture frame is $13 - $5 = $8.
The cost of making x Flower picture frames and y Planets picture frames is 4x + 5y, and Karl can only spend $150 on costs. Therefore, we have:
4x + 5y ≤ 150
Similarly, the number of picture frames Karl can make is limited to 30, so we have:
x + y ≤ 30
The time Karl spends making x Flower picture frames and y Planets picture frames is 0.5x + 1.5y, and he has 25 hours to spend. Therefore, we have:
0.5x + 1.5y ≤ 25
To maximize profit, we need to maximize the total profit function:
P = 6x + 8y
We can solve this problem using linear programming. One way to do this is to graph the feasible region defined by the constraints and identify the corner points of the region. Then we can evaluate the total profit function at these corner points to find the maximum total profit.
Alternatively, we can use substitution or elimination to find the values of x and y that maximize the total profit function subject to the constraints. Since the constraints are all linear, we can use substitution or elimination to find their intersections and then test the resulting solutions to see which ones satisfy all of the constraints.
Using substitution, we can solve the inequality x + y ≤ 30 for y to get:
y ≤ 30 - x
Then we can substitute this expression for y in the other two inequalities to get:
4x + 5(30 - x) ≤ 150
0.5x + 1.5(30 - x) ≤ 25
Simplifying and solving for x, we get:
-x ≤ -6
-x ≤ 5
The second inequality is more restrictive, so we use it to solve for x:
-x ≤ 5
x ≥ -5
Since x has to be a non-negative integer (we cannot make negative picture frames), the possible values for x are x = 0, 1, 2, 3, 4, or 5. We can substitute each of these values into the inequality x + y ≤ 30 to get the corresponding range of values for y:
y ≤ 30 - x
y ≤ 30
y ≤ 29
y ≤ 28
y ≤ 27
y ≤ 26
y ≤ 25
Using the third constraint, 0.5x + 1.5y ≤ 25, we can substitute each of the possible values for x and y to see which combinations satisfy this constraint:
x = 0, y = 0: 0 + 0 ≤ 25, satisfied
x = 1, y = 0: 0.5 + 0 ≤ 25, satisfied
x = 2, y = 0: 1 + 0 ≤ 25, satisfied
x = 3, y = 0: 1.5 + 0 ≤ 25, satisfied
x = 4, y = 0: 2 + 0 ≤ 25, satisfied
x = 5, y = 0: 2.5 + 0 ≤ 25, satisfied
x = 0, y = 1: 0 + 1.5 ≤ 25, satisfied
x = 0, y = 2: 0 + 3 ≤ 25, satisfied
x = 0, y = 3: 0 + 4.5 ≤ 25, satisfied
x = 0, y = 4: 0 + 6 ≤ 25, satisfied
x = 0, y = 5: 0 + 7.5 ≤ 25, satisfied
x = 1, y = 1: 0.5 + 1.5 ≤ 25, satisfied
x = 1, y = 2: 0.5 + 3 ≤ 25, satisfied
x = 1, y = 3: 0.5 + 4.5 ≤ 25, satisfied
x = 1, y = 4: 0.5 + 6 ≤ 25, satisfied
x = 2, y = 1: 1 + 1.5 ≤ 25, satisfied
x = 2, y = 2: 1 + 3 ≤ 25, satisfied
x = 2, y = 3: 1 + 4.5 ≤ 25, satisfied
x = 3, y = 1: 1.5 + 1.5 ≤ 25, satisfied
x = 3, y = 2: 1.5 + 3 ≤ 25, satisfied
x = 4, y = 1: 2 + 1.5 ≤ 25, satisfied
Therefore, the combinations of Flower and Planets picture frames that satisfy all of the constraints are: (0,0), (1,0), (2,0), (3,0), (4,0), (5,0), (0,1), (0,2), (0,3), (0,4), (0,5), (1,1), (1,2), (1,3), (1,4), (2,1), (2,2), (2,3), (3,1), (3,2), and (4,1).
We can evaluate the total profit function P = 6x + 8y at each of these combinations to find the maximum profit:
(0,0): P = 0
(1,0): P = 6
(2,0): P = 12
(3,0): P = 18
(4,0): P = 24
(5,0): P = 30
(0,1): P = 8
(0,2): P = 16
(0,3): P = 24
(0,4): P = 32
(0,5): P = 40
(1,1): P = 14
(1,2): P = 22
(1,3): P = 30
(1,4): P = 38
(2,1): P = 20
(2,2): P = 28
(2,3): P = 36
(3,1): P = 26
(3,2): P = 34
(4,1): P = 32
Therefore, the maximum total profit is $32, which can be achieved by making 4 Flower picture frames and 1 Planets picture frame.
Therefore, Karl should make 4 Flower picture frames and 1 Planets picture frame to maximize his total profit while satisfying the constraints of cost, number of picture frames, and time.
