Developing a model for solving the flight perturbation problem
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Inclou dades d'ús des de 2022
Cita com:
hdl:2117/78845
Tipus de documentArticle
Data publicació2015
EditorEscola Tècnica Superior d'Enginyeries Industrial i Aeronàutica de Terrassa. Universitat Politècnica de Catalunya
Condicions d'accésAccés obert
Llevat que s'hi indiqui el contrari, els
continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
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Reconeixement-NoComercial 3.0 Genèrica
Abstract
Purpose: In the aviation and airline industry, crew costs are the second largest direct operating cost next to the fuel costs.
But unlike the fuel costs, a considerable portion of the crew costs can be saved through optimized utilization of the internal
resources of an airline company. Therefore, solving the flight perturbation scheduling problem, in order to provide an
optimized schedule in a comprehensive manner that covered all problem dimensions simultaneously, is very important. In
this paper, we defined an integrated recovery model as that which is able to recover aircraft and crew dimensions
simultaneously in order to produce more economical solutions and create fewer incompatibilities between the decisions.
Design/methodology: Current research is performed based on the development of one of the flight rescheduling models
with disruption management approach wherein two solution strategies for flight perturbation problem are presented:
Dantzig-Wolfe decomposition and Lagrangian heuristic.
Findings: According to the results of this research, Lagrangian heuristic approach for the DW-MPsolved the problem
optimally in all known cases. Also, this strategy based on the Dantig-Wolfe decomposition manage to produce a solution
within an acceptable time (Under 1 Sec).
Originality/value: This model will support the decisions of the flight controllers in the operation centers for the airlines.
When the flight network faces a problem the flight controllers achieve a set of ranked answers using this model thus,
applying crew’s conditions in the proposed model caused this model to be closer to actual conditions
CitacióNickkar, Amirreza [et al.]. Developing a model for solving the flight perturbation problem. "Journal of Airline and Airport Management", 2015, vol. 5, núm. 1, p. 18-38.
ISSN2014-4806
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