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I'm in love /w this post! Not only is it informative but it clearly expresses the differences between decision making in real-world scenarios and delving deep into the data for an 'on-paper' optimal decision.


Optimization, e.g., from operations research can at times make a good contribution, but such work is not always easy, and typically the first challenging step is problem formulation where address considerations such as I listed.

Indeed, at one point I was starting to address the fleet scheduling problem with integer linear programming set covering, talking with G. Nemhauser, now at Georgia Tech, then at Cornell, etc. With current software and computers, what I was trying to do, for just the 33 Falcon airplanes and 90 US cities, should be nicely easy to do.

Another problem, though, could be the mix of aircraft types: Early on FAA and CAB rules boiled down to the Dassault DA-20 Fanjet Falcon with Fred's cargo modifications. Why? Because, e.g., wanting to be able to operate both airplanes and trucks, FedEx was flying as an unscheduled air-taxi, maybe intended for little Mom and Pop operations, but then could not fly planes with max gross takeoff weight (GTOW) over 25,000 pounds. Fred went to Congress and got his 28,660 GTOW approved as an exception.

Later Alfred Kahn deregulated airfreight and, thus, let FedEx fly nearly anything they wanted. At that point, there would be an issue of what mix of airplanes? But that was after I had gone for my Ph.D.


Reminds me of this scene in economics class:

https://www.youtube.com/watch?v=YlVDGmjz7eM


That clip is one of my favorites, especially because I used to be a B-school prof! That clip is way too close to reality for too much of B-school.




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