TY - JOUR
T1 - A Model for Projecting Flight Delays During Irregular Operation Conditions
AU - Abdelghany, Khaled F.
AU - Shah, Sharmila S.
AU - Raina, Sidhartha
AU - Abdelghany, Ahmed F.
N1 - On-time performance of airlines schedule is key factor in maintaining current customer satisfaction and attracting new ones. This requires management of the different operation resources (crew/aircraft) to ensure their on-time readiness for each flight in the planned schedule. However, flight schedules are often subjected to irregularity.
PY - 2004/11
Y1 - 2004/11
N2 - On-time performance of airlines schedule is key factor in maintaining current customer satisfaction and attracting new ones. This requires management of the different operation resources (crew/aircraft) to ensure their on-time readiness for each flight in the planned schedule. However, flight schedules are often subjected to irregularity. In particular, weather accounts for nearly 75% of system delays. Due to the tight connection among airlines resources, these delays could dramatically propagate over time and space unless the proper recovery actions are taken. This paper presents a model which projects flight delays and alerts for possible future breaks during irregular operation conditions. The results of applying the model at the operation control center of a major airlines company in the US are presented.
AB - On-time performance of airlines schedule is key factor in maintaining current customer satisfaction and attracting new ones. This requires management of the different operation resources (crew/aircraft) to ensure their on-time readiness for each flight in the planned schedule. However, flight schedules are often subjected to irregularity. In particular, weather accounts for nearly 75% of system delays. Due to the tight connection among airlines resources, these delays could dramatically propagate over time and space unless the proper recovery actions are taken. This paper presents a model which projects flight delays and alerts for possible future breaks during irregular operation conditions. The results of applying the model at the operation control center of a major airlines company in the US are presented.
KW - airlines schedule
KW - shortest path algorithm
KW - irregular operations
KW - proactive recovery
UR - http://www.sciencedirect.com/science/article/pii/S0969699704000377
U2 - 10.1016/j.jairtraman.2004.06.008
DO - 10.1016/j.jairtraman.2004.06.008
M3 - Article
VL - 55
JO - Journal of Air Transport Management
JF - Journal of Air Transport Management
ER -