Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/115236
DC FieldValueLanguage
dc.contributorDepartment of Industrial and Systems Engineering-
dc.creatorWen, X-
dc.creatorChung, SH-
dc.creatorChoi, TM-
dc.creatorFu, X-
dc.date.accessioned2025-09-17T03:46:28Z-
dc.date.available2025-09-17T03:46:28Z-
dc.identifier.issn0191-2615-
dc.identifier.urihttp://hdl.handle.net/10397/115236-
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.subjectBranchingen_US
dc.subjectAir transporten_US
dc.subjectAirline schedulingen_US
dc.subjectColumn generationen_US
dc.subjectCrew pairingen_US
dc.titleAirline cabin crew pairing with accurate characterization of cross-class substitution : a branch-and-price approachen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume190-
dc.identifier.doi10.1016/j.trb.2024.103084-
dcterms.abstractGiven the increasing heterogeneity of the types of aircraft operated, many airlines have switched from the traditional team scheduling approach to the individual scheduling approach for cabin crew planning. The individual approach not only allows for greater scheduling flexibility, but also helps achieve better utilization of available manpower through cross-class substitution (i.e., assigning a high-class crew member to substitute a low-class crew member), which is especially important in view of the recent industry-wide manpower shortage led by the post-pandemic traffic recovery. In this study, we present a new crew pairing approach with accurate characterization of cross-class substitution. This approach is novel as it can distinguish the substitutions among different pairs of crew classes with precise characterization of work time and costs. We develop a branch-and-price solution approach. A new specialized flight network that characterizes each crew class for each flight is constructed to realize the recognition of substitution heterogeneity. Although the size of the new flight network increases dramatically, it can be simplified to consider only one crew class for each flight in each column generation iteration without affecting optimality. We also propose a new column-fixing branching strategy to identify integer solutions for the newly developed model with non-negative integer variables. Computational experiments based on real-world collected flight schedules are conducted to validate the performance of the proposed approach in obtaining high-quality solutions (e.g., achieving a 0.01% optimality gap). The cost saving of the new crew pairing approach is examined, which is shown to vary greatly across different manpower availability levels and part-time cost settings. Besides, rich managerial insights are derived. Among others, we find that if it is expensive for a high crew class to directly substitute a low class (e.g., one that is experiencing a shortage), indirect assistance can be provided through an intermediate class.-
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationTransportation research. Part B, Methodological, Dec. 2024, v. 190, 103084-
dcterms.isPartOfTransportation research. Part B, Methodological-
dcterms.issued2024-12-
dc.identifier.scopus2-s2.0-85206470611-
dc.identifier.eissn1879-2367-
dc.identifier.artn103084-
dc.description.validate202509 bcch-
dc.identifier.FolderNumbera4021en_US
dc.identifier.SubFormID51948en_US
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThe work described in this paper was supported by a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China (Project No. PolyU15210722), and a grant from the Guangdong Soft Science Research Project (Project number: 2024A1010060001).en_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2026-12-31en_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
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Embargo End Date 2026-12-31
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