Final answer:
The problem is formulated as a linear program to determine the optimal number of products A and B to produce, with constraints on assembly time and production ratios. The points of intersection for maximization are where the constraints intersect.
Step-by-step explanation:
To formulate the problem of how much of each product to produce as a linear program, let's denote x as the number of units of product A and y as the number of units of product B. The objective function to maximize is the profit, which is 3x + 5y. The machine has an effective working week of 30 hours, which is 1800 minutes. Therefore, the constraints are 12x + 25y ≤ 1800 (assembly time constraint) and y ≥ 0.4x (technological constraint). The intersection points that need to be evaluated are found by solving the system of equations representing the constraints. As for the maximum amount to pay for hiring an extra machine, it depends on the increased profit that can be achieved with the doubled assembly time, provided no other constraints are limiting factors.
Now, considering the additional information provided, firms can indeed adjust their production methods in response to labor costs, by shifting to more capital-intensive processes which might involve utilizing more machinery and less human labor, thus affecting productivity and labor demand. This can be applied to our scenario where the firm considers the cost/benefit of hiring an additional machine.