A decision support framework for airline flight cancellations and delays

A decision support framework for airline flight cancellations and delays

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Article ID: iaor1995186
Country: United States
Volume: 27
Issue: 3
Start Page Number: 266
End Page Number: 280
Publication Date: Aug 1993
Journal: Transportation Science
Authors: , , ,
Keywords: artificial intelligence: decision support
Abstract:

Aircraft shortages occasionally occur during day-to-day airline operation due to factors such as unfavorable weather conditions, mechanical problems, and delays in the schedule of incoming flights. Flight controllers need to respond to such shortages on a real-time basis by delaying or cancelling flights, swapping aircraft among scheduled flights, or requesting the usage of surplus aircraft. The choices undertaken aim at minimizing the losses incurred while retaining an operable flight schedule. In this paper, the authors represent two network models for aiding flight controllers in this complex decision environment. The models represent an attempt at conceptualizing this important and relatively unstudied problem, and form the basis for an evolving decision support sytem at United Airlines.

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