Developing an integrated hub location and revenue management model considering multi-classes of customers in the airline industry

DOI10.1007/s40314-017-0512-3zbMath1409.90112OpenAlexW2755960162MaRDI QIDQ1993617

Yanyan Li

Publication date: 5 November 2018

Published in: Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s40314-017-0512-3

zbMATH Keywords

genetic algorithmrevenue managementcapacity allocationhub allocationclassification of customers

Mathematics Subject Classification ID

Integer programming (90C10) Transportation, logistics and supply chain management (90B06)

Related Items (9)

Competitive multiple allocation hub location problem considering primary and backup routes ⋮ Benders decomposition applied to profit maximizing hub location problem with incomplete hub network ⋮ Ils-based algorithms for the profit maximizing uncapacitated hub network design problem with multiple allocation ⋮ A bi-level stochastic optimization model for reliable supply chain in competitive environments: hybridizing exact method and genetic algorithm ⋮ Adjustable robust balanced hub location problem with uncertain transportation cost ⋮ A risk-constrained time-dependent cash-in-transit routing problem in multigraph under uncertainty ⋮ A combined average-case and worst-case analysis for an integrated hub location and revenue management problem ⋮ A single allocation hub location and pricing problem ⋮ Modeling and solving the uncapacitated \(r\)-allocation \(p\)-hub median problem under congestion

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