Final answer:
To maximize profit, we need to determine the number of each type of bicycle that should be made. We can use linear programming techniques such as the simplex method or graphing the feasible region to find the optimal solution.
Step-by-step explanation:
To maximize profit, we need to determine the number of each type of bicycle that should be made. Let's assume that x represents the number of 1-speed bikes, y represents the number of 3-speed bikes, and z represents the number of 10-speed bikes. The objective is to maximize the profit function P = 4x + 6y + 16z, subject to the constraints:
10x + 15y + 20z ≤ 41,960 (constraint for steel)
12x + 8y + 16z ≤ 35,072 (constraint for aluminum)
x, y, z ≥ 0 (non-negativity constraints)
To solve this problem, we can use linear programming techniques such as the simplex method or graphing the feasible region to find the optimal solution.