Article ID: | iaor20106053 |
Volume: | 42 |
Issue: | 7 |
Start Page Number: | 478 |
End Page Number: | 489 |
Publication Date: | Jul 2010 |
Journal: | IIE Transactions |
Authors: | Cohn Amy, Ahmad-Beygi Shervin, Lapp Marcial |
Keywords: | programming: linear |
Passenger airline delays have received increasing attention over the past several years as air space congestion, severe weather, mechanical problems, and other sources cause substantial disruptions to a planned flight schedule. Adding to this challenge is the fact that each flight delay can propagate to disrupt subsequent downstream flights that await the delayed flight's aircraft and crew. This potential for delays to propagate is exacerbated by a fundamental conflict: slack in the planned schedule is often viewed as undesirable, as it implies missed opportunities to utilize costly perishable resources, whereas slack is critical in operations as a means for absorbing disruption. This article shows how delay propagation can be reduced by redistributing existing slack in the planning process, making minor modifications to the flight schedule while leaving the original fleeting and crew scheduling decisions unchanged. Computational results based on data from a major U.S. carrier are presented that show that significant improvements in operational performance can be achieved without increasing planned costs.