A crew pairing model and generation heuristic for airline disruption management using crew swaps and slack times
The trend in airlines, as more flights are being flown, is that delays have been less from unpredictable events and more from operations. Airlines push to maximize profits by scheduling flights with little to no regard for possible disruptions. Common practices that deal with disruptions, such as pu...
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Main Author: | |
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Format: | text |
Language: | English |
Published: |
Animo Repository
2018
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Subjects: | |
Online Access: | https://animorepository.dlsu.edu.ph/etd_masteral/5707 |
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Institution: | De La Salle University |
Language: | English |