The following master thesis is about the Passenger Recovery Problem in the Airline Industry. When a major disruption occurs in airline schedules, it is necessary to recover the schedule. Usually with the least amount of disruptions in the fastest way possible. The recovery process involves rst recovering the aircraft schedule, then the crew schedule and then lastly the disrupted passengers. There will be a short explanation about the major disruptions and the schedule planning process to better understand the recovery problem. Because the recovery process is based on recovering the smallest resource rst and then lastly to recover the passengers, the cost of recovery could become substantial every time there is a major disruption. Small savings for the aircrafts and crew, when changing ights, might amount to great loss because of even greater passenger costs. So by shaping the Aircraft recovery problem, not only with the operations costs of aircrafts, but also crew and passengers costs nonetheless, better recovery decisions can be made. To test this, the Disrupted Passenger Metric model DPM by Bratu & Barnhart is thoroughly examined concerning restrictions, qualities and results. Flight statistics on actual days of operations by SAS ights through Copenhagen Airport is analysed and compared to the DPM model under several prerequisites. Analysis of these days, will show that improvement might be possible, when recovery also is based on passenger cost.
|Uddannelser||Cand.merc.mat Erhvervsøkonomi og Matematik, (Kandidatuddannelse) Afsluttende afhandling|