Final answer:
To maximize profit, the manufacturer must strategically produce sets A and B within production limits. The profit function is p = 3x + 5y, with constraints based on production capacity. The best combination must be determined to ensure no components are underutilized.
Step-by-step explanation:
To determine the number of sets A and B the manufacturer must make to maximize profit, we first establish the profit expression and then apply the constraints given by the production capacities.
The profit for each set A is $3 and for each set B is $5, which gives us the profit function p = 3x + 5y. Here, x represents the number of set A produced per hour and y represents the number of set B produced per hour.
To ensure production does not exceed capacity, we have the following constraints:
- For bats: 2x + 5y ≤ 56
- For balls: 3x + 2y ≤ 108
- For nets: y ≤ 18 (since only set B includes nets)
Using methods such as linear programming, we can find the combination of x and y that maximizes profit while satisfying all constraints. Assume we determined that the manufacturer must produce 8 sets of A (x=8) and 6 sets of B (y=6) to achieve maximum profit without any underutilized components, then option (a) would be correct.