Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/81744
DC FieldValueLanguage
dc.contributorDepartment of Industrial and Systems Engineering-
dc.creatorLee, CKM-
dc.creatorZhang, SZ-
dc.creatorNg, KKH-
dc.date.accessioned2020-02-10T12:28:57Z-
dc.date.available2020-02-10T12:28:57Z-
dc.identifier.urihttp://hdl.handle.net/10397/81744-
dc.language.isoenen_US
dc.publisherMolecular Diversity Preservation International (MDPI)en_US
dc.rights© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).en_US
dc.rightsThe following publication Lee, C.K.; Zhang, S.; Ng, K.K. Design of An Integration Model for Air Cargo Transportation Network Design and Flight Route Selection. Sustainability 2019, 11, 5197, 1-12 is available at https://dx.doi.org/10.3390/su11195197en_US
dc.subjectAir cargo transportationen_US
dc.subjectNetwork designen_US
dc.subjectFleet route selectionen_US
dc.subjectHub-and-spoke networken_US
dc.titleDesign of an integration model for air cargo transportation network design and flight route selectionen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage1-
dc.identifier.epage12-
dc.identifier.volume11-
dc.identifier.issue19-
dc.identifier.doi10.3390/su11195197-
dcterms.abstractAir cargo transportation is an essential component in the freight transportation market, primarily due to the transportation requirements of time-sensitive products. Air cargo transportation plays an increasingly important role alongside economic development. Cargo flight network design and fleet routing selection significantly affect the performance of the air cargo transportation. In this research, we propose an integrated model simultaneously considering cargo flight network design and the fleet routing selection for the air cargo transportation. Two transportation modes, the direct transportation mode in point-to-point networks and the transshipment mode in hub-and-spoke networks, are compared. In order to solve the proposed optimization problem, a swarm-intelligence-based algorithm is adapted. Numerical experiments were conducted to examine and validate the effectiveness and efficiency of the proposed model and algorithm. The computational results suggest that the proper settings of hub and transshipment route selection in an air cargo transportation network can significantly reduce the transportation cost, which can provide practical managerial insights for the air cargo transportation industry.-
dcterms.bibliographicCitationSustainability, 23 Sept. 2019, v. 11, no. 19, 5197, p. 1-12-
dcterms.isPartOfSustainability-
dcterms.issued2019-
dc.identifier.isiWOS:000493525500056-
dc.identifier.eissn2071-1050-
dc.identifier.artn5197-
dc.description.validate202002 bcrc-
dc.description.oapublished_final-
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