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Content Provider | SpringerLink |
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Author | Sohoni, Milind G. Johnson, Ellis L. Bailey, T. Glenn |
Copyright Year | 2006 |
Abstract | Airlines are continually faced with the challenge of efficient utilization of their cockpit crew resources. In addition to regular flying crews, some airlines have to maintain significant reserve staffing levels to meet contractual obligations and provide smooth daily operations. Reserve crews are required to cover trips remaining unassigned due to disruptions during daily operations. Airlines using a bidline system to award crew work schedules require additional reserves to cover scheduling conflicts, which result in trips dropping out of optimized bidlines. Whenever reserves are unavailable to cover these trips during daily operations, the airline has to pay a premium to cover these trips using regular pilots. The resulting operating expenses can be significant. Furthermore, inefficient utilization of reserves can cause excessive long-range crew staffing resulting in additional training and new hire expenses. In this paper, we propose a new optimization strategy to increase reserve crew utilization and build monthly reserve crew work schedules by addressing the issue of scheduling conflicts and daily operational reserve requirements. |
Starting Page | 203 |
Ending Page | 221 |
Page Count | 19 |
File Format | |
ISSN | 10946136 |
Journal | Journal of Scheduling |
Volume Number | 9 |
Issue Number | 3 |
e-ISSN | 10991425 |
Language | English |
Publisher | Kluwer Academic Publishers |
Publisher Date | 2006-01-01 |
Publisher Place | Boston |
Access Restriction | One Nation One Subscription (ONOS) |
Subject Keyword | Artificial Intelligence (incl. Robotics) Optimization Calculus of Variations and Optimal Control Operations Research/Decision Theory Production/Logistics |
Content Type | Text |
Resource Type | Article |
Subject | Artificial Intelligence Management Science and Operations Research Engineering Software |
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