We need to determine how many fitness trackers the company should produce each week to maximize profits. Let the number of fitness trackers produced each week be , and the number of smart rings produced each week be.
Information from the problem:
Each fitness tracker requires:
4 hours of assembly
6 hours of software calibration
Profit = $40 per unit
Each smart ring requires:
4 hours of assembly
2 hours of software calibration
Profit = $30 per unit
The company's objective is to maximize profit:
Profit = 40x + 30y.
Step 1: Analyze Statement (1)
Statement (1): The cost of the components for each fitness tracker is twice that for each smart ring.
This provides information about production costs but does not affect the constraints (assembly and calibration capacities) or the profit-maximization equation directly. Without knowing the facility's production capacity, we cannot determine how many fitness trackers should be produced.
Statement (1) alone is insufficient. Hence we can eliminate option (A) & by default option (D)
Step 2: Analyze Statement (2)
Statement (2): The facility has the capacity for 200 hours of assembly time each week and 200 hours of software calibration each week.
This provides the constraints:
4x+4y<=200 (assembly constraint),
6x+2y<=200 (software calibration constraint).
We now have a constrained optimization problem with two inequalities and an objective function:
Profit = 40x + 30y.
We solve this using linear programming methods. This is sufficient to determine the optimal number of fitness trackers (x) and smart rings (y).
Step 3: Combine Statements (1) and (2)
Combining the statements does not add any useful information. The cost of components (from Statement (1)) does not change the optimization process because profits are already given directly in the problem.
Final Answer:
Statement (2) alone is sufficient, but Statement (1) alone is not sufficient.
Hence the correct answer to this question is option (B)
Answer: B