Transportation Science
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TRANSPORTATION SCIENCE
Vol. 37, No. 4, November 2003, pp. 408-421
DOI: 10.1287/trsc.37.4.408.23271
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Rerouting Aircraft for Airline Recovery

Jay M. Rosenberger, Ellis L. Johnson, George L. Nemhauser

American Airlines Operations Research and Decision Support Department, MD 5358, P.O. Box 619616, Dallas/Fort Worth Airport, Texas 75261-9616
School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332-0205
School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332-0205

jay.rosenberger{at}aa.com
ejohnson{at}isye.gatech.edu
gnemhaus{at}isye.gatech.edu

Disruptions in airline transportation systems can prevent airlines from executing their schedules as planned. Adverse weather conditions, congestion at airports, and mechanical failures often hinder a flight schedule. During such events, decision makers must reschedule flight legs, and reroute aircraft, pilots, and passengers. We present an optimization model that reschedules legs and reroutes aircraft by minimizing an objective function involving rerouting and cancellation costs. We develop a heuristic for selecting which aircraft are rerouted, and we provide proof of concept by evaluating our model using a simulation of airline operations. Finally, we revise the model to minimize crew and passenger disruptions.

History: Received: September 2001; accepted: July 2002.




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H.-S. Hwang, S. Visoldilokpun, and J. M. Rosenberger
A Branch-and-Price-and-Cut Method for Ship Scheduling with Limited Risk
Transportation Science, August 1, 2008; 42(3): 336 - 351.
[Abstract] [PDF]




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