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dc.contributor.authorNickkar, Amirreza
dc.contributor.authorSeyed-Hosseini, Seyed-Mohammad
dc.contributor.authorJavanshir, Hassan
dc.contributor.authorKhaksar, Hasan
dc.date.accessioned2015-11-05T16:26:42Z
dc.date.available2015-11-05T16:26:42Z
dc.date.issued2015
dc.identifier.citationNickkar, 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.
dc.identifier.issn2014-4806
dc.identifier.urihttp://hdl.handle.net/2117/78845
dc.description.abstractPurpose: 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
dc.format.extent21 p.
dc.language.isoeng
dc.publisherEscola Tècnica Superior d'Enginyeries Industrial i Aeronàutica de Terrassa. Universitat Politècnica de Catalunya
dc.rightsAttribution-NonCommercial 3.0 Unported
dc.rights.urihttp://creativecommons.org/licenses/by-nc/3.0/
dc.subjectÀrees temàtiques de la UPC::Enginyeria civil::Infraestructures i modelització dels transports::Infraestructures i transport aeri
dc.subject.lcshAirlines--Planning--Mathematics
dc.subject.lcshFlight delays
dc.subject.lcshAir traffic control
dc.subject.otherFlight perturbation problem
dc.subject.otherDisruption management
dc.subject.otherRescheduling
dc.subject.otherOptimization
dc.titleDeveloping a model for solving the flight perturbation problem
dc.typeArticle
dc.subject.lemacLínies aèries -- Planificació -- Models matemàtics
dc.subject.lemacTrànsit aèri -- Control
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
local.citation.publicationNameJournal of Airline and Airport Management
local.citation.volume5
local.citation.number1
local.citation.startingPage18
local.citation.endingPage38
local.personalitzacitaciotrue


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