Option B is the correct answer.
Let's understand the passage before trying to answer the question.
So the passage starts by telling us that a large retailer operates a certain limited number of same day delivery trucks. And it further tells us that for years each of the neighborhood delivery hubs has been assigned the same number of trucks regardless of their daily order volume in the neighborhood. And now to reduce the overall delivery time a senior manager has plans to let neighborhood hubs trade truck assignments freely which means that the number of trucks assigned to the neighborhood hubs does not depend on the factor that how many trucks does the large retailer operates. Now the management argues that trading will move more trucks to the neighborhoods that rely on them most intensively, thereby reducing average delivery time across the company.
Then the question asks us to evaluate whether the company’s plan is likely to achieve its intended result, it would be most helpful to know which of the following.
Now to answer the evaluate type of question the way best to find the ideal answer is to test each option with extremes test, in this test we take the option to two polar opposite extremes such that one extreme will strengthen the argument and the other one will weaken it. And whichever option meets these conditions will be our answer.
Let's dive into the options and see which one of them is our answer.
Option A: "Whether neighborhood hubs facing tighter shipping deadlines currently use their trucks more frequently than other neighborhoods". Let's take this option to the first extreme i.e. "the neighborhood hubs facing tighter shipping deadlines currently use their trucks more frequently than other neighborhoods" now this extreme tells us that facing tighter deadlines leads to the frequent use of truck which will strengthen the need for a law/regulation will which will remove the limit put on the number of trucks a hub can have. Now let's see the other extreme i.e. "neighborhood hubs facing tighter shipping deadlines currently do not use their trucks more frequently than other neighborhoods" this options tells us that even after the tight deadlines the hubs does not use their truck more frequently than the hub who doesn't face such right deadlines, so this extreme neither weakens the argument not strengths it, whereas in the condition we discussed it was clear that one will strengthen the argument and the other will weaken it.
EliminatedOption B: "Whether neighborhood hubs currently using trucks more intensively achieve shorter delivery times due to having more trucks". Let's take the extremes for this option i.e. "neighborhood hubs currently using trucks more intensively are able to achieve shorter delivery times due to having more trucks" this option clearly strengthens the argument by telling us that hubs are able to decrease the delivery timing if they have more/extra trucks. Now let's check the other extreme "neighborhood hubs currently using trucks more intensively are unable to achieve shorter delivery times even after having more trucks" this options weakens the argument by telling us that even after having more trucks the delivery time has not decreased for the hubs which tells us that the managers decision will not meet the intended purpose but still let's check other options as well before concluding our answer.
SelectedOption C: "Whether using the company’s own trucks reduces delivery time more effectively than outsourcing to third-party carriers". After reading this options which asks us "using third party trucks reduce the time more efficiently in comparison to company's own truck or not" we can say that this option is irrelevant because the question only talks about removing the limiting factor on the hubs which limits the number of trucks each hub can have and whether third party trucks work more efficiently or not is not our concern because it might be possible that the hub might not take help from third party.
EliminatedOption D: "Whether certain neighborhood hubs currently have idle trucks at any point during the day". This option is also irrelevant to the question because a hub can have a idle truck at its centre and still unable to deliver the products on time or unable to reduce the delivery time because a truck can be in ideal condition for many reasons like due to the driver didn't came, truck is not working properly and many more.
EliminatedOption E: "Whether neighborhood hubs will be required to record truck-trading activity in a central scheduling system". This option is the easiest to eliminate because whether or not hubs need to record the truck trading activity in the system does not help to tell whether or not the law that limits the number of trucks a hub can have will achieve its target or not.
EliminatedSo after reading and checking all the options we can now confirm that only Option B gives us the required answer. Bunuel
A large retailer operates a limited fleet of same-day-delivery trucks. For years, each neighborhood delivery hub has been assigned the same number of trucks, regardless of the daily order volume in that neighborhood. To shorten overall delivery times, senior management now plans to let neighborhood hubs trade truck assignments freely. Management argues that trading will move more trucks to the neighborhoods that rely on them most intensively, thereby reducing average delivery time across the company.
To evaluate whether the company’s plan is likely to achieve its intended result, it would be most helpful to know which of the following?
(A) Whether neighborhood hubs facing tighter shipping deadlines currently use their trucks more frequently than other neighborhoods
(B) Whether neighborhood hubs currently using trucks more intensively achieve shorter delivery times due to having more trucks
(C) Whether using the company’s own trucks reduces delivery time more effectively than outsourcing to third-party carriers
(D) Whether certain neighborhood hubs currently have idle trucks at any point during the day
(E) Whether neighborhood hubs will be required to record truck-trading activity in a central scheduling system