11–20 of 204 posts
Wow, this is really incredible. The flight path out of Puerto Rico is nearly perfectly optimal to avoid the weather. I wonder, is this a good (and incredibly positive) example of what quality real-time/near-real-time data can do for decision-making? Bravo.
What are the odds something could go wrong compared to the relative good of squeezing in one last flight's revenue for a while? Is flying in a hurricane actually not that bad and the airport turnaround/takeoff the most dangerous part?
Wow, this is really incredible. The flight path out of Puerto Rico is nearly perfectly optimal to avoid the weather. I wonder, is this a good (and incredibly positive) example of what quality real-time/near-real-time data can do for decision-making? Bravo.
Yes. Obviously.
Wow, this is really incredible. The flight path out of Puerto Rico is nearly perfectly optimal to avoid the weather. I wonder, is this a good (and incredibly positive) example of what quality real-time/near-real-time data can do for decision-making? Bravo.
I wouldn't glorify the analytics too much in this case. I'm confident that the management and the pilots made decisions that far exceeded decisions that could be made with data approximations.
Does anybody who works in the industry have any idea of what the risk management is like for these types of events? What are the odds something could go wrong compared to the relative good of squeezing in one last flight's revenue for a while? Is flying in a hurricane actually not that bad and the airport turnaround/takeoff the most dangerous part?
Does anybody who works in the industry have any idea of what the risk management is like for these types of events? What are the odds something could go wrong compared to the relative good of squeezing in one last flight's revenue for a while? Is flying in a hurricane actually not that bad and the airport turnaround/takeoff the most dangerous part?
Does anybody who works in the industry have any idea of what the risk management is like for these types of events? What are the odds something could go wrong compared to the relative good of squeezing in one last flight's revenue for a while? Is flying in a hurricane actually not that bad and the airport turnaround/takeoff the most dangerous part?
Does anybody who works in the industry have any idea of what the risk management is like for these types of events? What are the odds something could go wrong compared to the relative good of squeezing in one last flight's revenue for a while? Is flying in a hurricane actually not that bad and the airport turnaround/takeoff the most dangerous part?
"Let's see... 50% chance of incremental $200*150=$30K (idk the price nor the capacity, so just entertain me) in revenue. Let's bump that with the expected loss/lawsuits if this fails = ... Who cares? It's in the millions. Just don't do it."
I think this is one of those cases where the airline took it upon themselves to really try to help as many people get out as they could.
The best part is that the hurricane's tailwind shaved 40-odd minutes off the itinerary.
Other than a very bumpy ride and lots of nerves, I would think a 737 (and many other commercial jets) would have no problem flying through a hurricane. Landing on the other hand... Anyone with knowledge of this?