Methodology for Simulation and Analysis of Preemptive Rebooking for Cancelled Airline Pasengers
dc.contributor.advisor | Sherry, Lance | |
dc.contributor.author | Avramovic, Sanja | |
dc.creator | Avramovic, Sanja | |
dc.date.accessioned | 2015-09-14T14:21:59Z | |
dc.date.available | 2015-09-14T14:21:59Z | |
dc.date.issued | 2015 | |
dc.description.abstract | Although, on average, only 2.1% of airline flights are cancelled each year, some of | |
dc.format.extent | 223 pages | |
dc.identifier.uri | https://hdl.handle.net/1920/9879 | |
dc.identifier.uri | https://doi.org/10.13021/MARS/4647 | |
dc.language.iso | en | |
dc.rights | Copyright 2015 Sanja Avramovic | |
dc.subject | Information technology | |
dc.subject | Airline reliability | |
dc.subject | Passenger disruption | |
dc.subject | Passenger itinerary delays | |
dc.subject | Pre-emptive rebooking | |
dc.title | Methodology for Simulation and Analysis of Preemptive Rebooking for Cancelled Airline Pasengers | |
dc.type | Dissertation | |
thesis.degree.discipline | Information Technology | |
thesis.degree.grantor | George Mason University | |
thesis.degree.level | Doctoral |
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