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Title
Dynamic Crew Pairing Recovery |
Date
2017 |
Author(s)
Hoeben, N.J.M. (author) |
Contributor(s)
Lopes dos Santos, B.F. (mentor) |
Abstract
Introduction An aircraft breakdown, crew coming late, or bad weather conditions are examples of disruptions that airlines have to cope with on a daily basis. Even small disruptions might cause infeasibility of airline schedules. Currently, operation controllers of most airlines solve disruptions manually at the day of operation. They attempt to make the schedules feasible again and strive to return to the original schedule as soon as possible. In addition, it is of great importance to minimize the costs. However, dealing with all the rules, regulations, preferences and costs makes that the recovery process is a complex problem. Therefore, decision support tools need to be developed to assist operation controllers during the recovery process. A decision support tool can provide several solutions to the operation controllers considering all kind of parameters. However, it is of great interest that solutions are generated in short computation times since decisions have to be made in a short amount of time. This research project considers the crew recovery problem, since crew recovery is one of the hardest recovery tasks. Many regulations have to be considered and human factors are involved as well. In addition, after fuel costs, crew costs are one of the largest costs of an airline. Therefore, in this research project a decision support tool is developed for the crew recovery problem. This Master Thesis research project is conducted at the University of Technology Delft (TU Delft). More specifically, at the Air Transport and Operations department from the faculty of Aerospace Engineering. Furthermore, the research is conducted in collaboration with Kenya Airways (KQ). - Aerospace Engineering - Control & Operations - Aerospace Transport & Operations |
Language
en |
Type of publication
master thesis; Text |
Rights
(c) 2017 Hoeben, N.J.M. |
Identifier
uuid:b7077ebe-6404-425b-beff-14d6cf5bb0a0 |
Repository
Delft - Technische Universiteit Delft
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Added to C-A: 2018-03-08;07:34:43 |
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