Explanation
The BA noticed that only 30% of trips have their orders ready for loading when a truck arrives, meaning 70% of the time, trucks are waiting an extra hour. If each truck can make two trips a day and there are 12 trucks, that's a total of 24 trips per day. With 70% of these trips experiencing downtime, that's approximately 17 trips (16.8 rounded up). Since each downtime lasts an hour, this results in approximately 17 hours lost to downtime each day.
However, the question asks if trucks are the only constraint - meaning we should consider the maximum capacity of trucks which is not being fully utilized due to other constraints (like workers or tallyers). In this case, we need to calculate how many more hours would be lost if the trucks were operating at full capacity.
The total capacity tons/day for workers is 89 tons/day and for tallyers is 74 tons/day which are less than the truck's capacity of 101 tons/day. So, we consider worker's capacity as a constraint here.
Now let's calculate how many more trips could be made if there were no constraints from workers or tallyers:
101 (truck's total daily tonnage capacity) /89 (worker's total daily tonnage capacity) = approximately1.13 So if there were no constraints from workers or tallyers, each truck could make approximately one additional trip per day.
Now let's add these potential additional trips to our original calculation:
17 (original downtime hours) +3 (additional potential downtime hours due to increased number of trips) =20 total downtime hours So if trucks were the only constraint and all other factors allowed them to operate at full capacity, approximately20 hours would be lost due to this downtime. References: This answer is inferred based on general business analysis principles as I need access to specific CBAP learning documents or resources for precise referencing and verification according to CBAP standards.