Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/92737
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Aeronautical and Aviation Engineeringen_US
dc.contributorDepartment of Industrial and Systems Engineeringen_US
dc.creatorQin, Yen_US
dc.creatorNg, KKHen_US
dc.creatorHu, Hen_US
dc.creatorChan, FTSen_US
dc.creatorXiao, Sen_US
dc.date.accessioned2022-05-16T09:07:28Z-
dc.date.available2022-05-16T09:07:28Z-
dc.identifier.urihttp://hdl.handle.net/10397/92737-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2021 Elsevier Ltd. All rights reserved.en_US
dc.rights© 2021. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/.en_US
dc.rightsThe following publication Qin, Y., et al. (2021). "Post disaster adaptation management in airport: A coordination of runway and hangar resources for relief cargo transports." Advanced Engineering Informatics 50: 101403 is available at https://dx.doi.org/10.1016/j.aei.2021.101403.en_US
dc.subjectAdaptive decision-makingen_US
dc.subjectAircraft sequencing and scheduling problemen_US
dc.subjectAirport managementen_US
dc.subjectHangar parking arrangementen_US
dc.subjectPost-disaster reliefen_US
dc.titlePost disaster adaptation management in airport : a coordination of runway and hangar resources for relief cargo transportsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume50en_US
dc.identifier.doi10.1016/j.aei.2021.101403en_US
dcterms.abstractAir traffic congestions for processing relief cargos under post-disaster relief scenarios are common, due to high transport demands within a short time. To enhance the resilience of relief operations at airport, an optimization problem of relief air cargo transportations involving aircraft sequencing and loading/unloading within a designated hangar is studied in this paper. The objective is minimizing the tardiness in fulfilling inbound and outbound relief cargos. A mixed-integer linear programming model is formulated, which incorporates aircraft sequencing and hangar parking planning. To resolve the practical problem efficiently, we propose a two-stage optimization approach, which reduces complexity in solving the original model by coordinating the decisions of aircraft landing and take-off schedule and cargo hangar parking arrangement through iterations. The efficiency of the proposed method is examined through the computational results. High-quality solutions can be obtained by the two-stage optimization method within a reasonable time for practical implementation, which enhances the responsiveness and resource utilization of airport operations management under disaster relief situations.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationAdvanced engineering informatics, Oct. 2021, v. 50, 101403en_US
dcterms.isPartOfAdvanced engineering informaticsen_US
dcterms.issued2021-10-
dc.identifier.scopus2-s2.0-85113970939-
dc.identifier.eissn1474-0346en_US
dc.identifier.artn101403en_US
dc.description.validate202205 bckwen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberAAE-0021, a1581-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Natural Science Foundation of China; The Hong Kong Polytechnic University; Soft Science Key Project of Shanghai Science and Technology Innovation Action Planen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS55471385, 45510-
Appears in Collections:Journal/Magazine Article
Files in This Item:
File Description SizeFormat 
Qin_Post_Disaster_Management.pdfPre-Published version1.8 MBAdobe 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

64
Last Week
1
Last month
Citations as of May 19, 2024

Downloads

10
Citations as of May 19, 2024

SCOPUSTM   
Citations

11
Citations as of May 17, 2024

WEB OF SCIENCETM
Citations

8
Citations as of May 16, 2024

Google ScholarTM

Check

Altmetric


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