Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/104543
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Industrial and Systems Engineering-
dc.creatorEltoukhy, AEEen_US
dc.creatorChan, FTSen_US
dc.creatorChung, SHen_US
dc.date.accessioned2024-02-05T08:50:57Z-
dc.date.available2024-02-05T08:50:57Z-
dc.identifier.issn0263-5577en_US
dc.identifier.urihttp://hdl.handle.net/10397/104543-
dc.language.isoenen_US
dc.publisherEmerald Publishing Limiteden_US
dc.rights© Emerald Publishing Limited. This AAM is provided for your own personal use only. It may not be used for resale, reprinting, systematic distribution, emailing, or for any other commercial purpose without the permission of the publisher.en_US
dc.rightsThe following publication Eltoukhy, A. E. E., Chan, F. T. S., & Chung, S. H. (2017). Airline schedule planning: A review and future directions. Industrial Management and Data Systems, 117(6), 1201–1243 is published by Emerald and is available at https://doi.org/10.1108/IMDS-09-2016-0358.en_US
dc.subjectAircraft maintenance routingen_US
dc.subjectCrew schedulingen_US
dc.subjectFleet assignmenten_US
dc.subjectFlight schedulingen_US
dc.titleAirline schedule planning : a review and future directionsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage1201en_US
dc.identifier.epage1243en_US
dc.identifier.volume117en_US
dc.identifier.issue6en_US
dc.identifier.doi10.1108/IMDS-09-2016-0358en_US
dcterms.abstractPurpose: The purpose of this paper is twofold: first to carry out a comprehensive literature review for state of the art regarding airline schedule planning and second to identify some new research directions that might help academic researchers and practitioners.-
dcterms.abstractDesign/methodology/approach: The authors mainly focus on the research work appeared in the last three decades. The search process was conducted in database searches using four keywords: “Flight scheduling,” “Fleet assignment,” “Aircraft maintenance routing” (AMR), and “Crew scheduling”. Moreover, the combination of the keywords was used to find the integrated models. Any duplications due to database variety and the articles that were written in non-English language were discarded.-
dcterms.abstractFindings: The authors studied 106 research papers and categorized them into five categories. In addition, according to the model features, subcategories were further identified. Moreover, after discussing up-to-date research work, the authors suggested some future directions in order to contribute to the existing literature.-
dcterms.abstractResearch limitations/implications: The presented categories and subcategories were based on the model characteristics rather than the model formulation and solution methodology that are commonly used in the literature. One advantage of this classification is that it might help scholars to deeply understand the main variation between the models. On the other hand, identifying future research opportunities should help academic researchers and practitioners to develop new models and improve the performance of the existing models.-
dcterms.abstractPractical implications: This study proposed some considerations in order to enhance the efficiency of the schedule planning process practically, for example, using the dynamic Stackelberg game strategy for market competition in flight scheduling, considering re-fleeting mechanism under heterogeneous fleet for fleet assignment, and considering the stochastic departure and arrival times for AMR.-
dcterms.abstractOriginality/value: In the literature, all the review papers focused only on one category of the five categories. Then, this category was classified according to the model formulation and solution methodology. However, in this work, the authors attempted to propose a comprehensive review for all categories for the first time and develop new classifications for each category. The proposed classifications are hence novel and significant.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIndustrial management and data systems, 2017, v. 117, no. 6, p. 1201-1243en_US
dcterms.isPartOfIndustrial management and data systemsen_US
dcterms.issued2017-
dc.identifier.scopus2-s2.0-85021893048-
dc.identifier.eissn1758-5783en_US
dc.description.validate202402 bcch-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberISE-0845-
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS6981080-
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
Files in This Item:
File Description SizeFormat 
Eltoukhy_Airline_Schedule_Planning.pdfPre-Published version744.62 kBAdobe PDFView/Open
Open Access Information
Status open access
File Version Final Accepted Manuscript
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Page views

86
Citations as of May 11, 2025

Downloads

460
Citations as of May 11, 2025

SCOPUSTM   
Citations

68
Citations as of May 15, 2025

WEB OF SCIENCETM
Citations

59
Citations as of May 15, 2025

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.