An approximate algorithm for the two-dimensional air cargo revenue management problem

For the air cargo revenue management problem, this study developed a solution algorithm based on approximating the expected revenue function in the dynamic programming (DP) model while taking into account the stochastic volume and weight of shipments. In order to alleviate the computational load, th...

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Vydané v:Transportation research. Part E, Logistics and transportation review Ročník 46; číslo 3; s. 426 - 435
Hlavní autori: Huang, Kuancheng, Chang, Ko-chen
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Exeter Elsevier India Pvt Ltd 01.05.2010
Elsevier
Elsevier Sequoia S.A
Edícia:Transportation Research Part E: Logistics and Transportation Review
Predmet:
Air cargo
Air cargo Revenue management Dynamic programming Heuristics
Algorithms
Approximation
Cargos
Dynamic programming
Heuristics
Management
Mathematical analysis
Mathematical models
Revenue management
Revenues
Simulation
Stochastic models
Studies
Transportation
Revenue management
Air cargo
Dynamic programming
Heuristics
ISSN:1366-5545, 1878-5794
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Shrnutí:For the air cargo revenue management problem, this study developed a solution algorithm based on approximating the expected revenue function in the dynamic programming (DP) model while taking into account the stochastic volume and weight of shipments. In order to alleviate the computational load, the approximation was achieved by computing only a limited number of points in the DP state space. In the simulation experiment, the developed algorithm was compared with a recent heuristic algorithm based on de-coupling the relationship between weight and volume. It was found that the approach of this study can generate higher revenue than the de-coupling control for most of the cases.
Bibliografia:SourceType-Scholarly Journals-1
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ISSN:1366-5545
1878-5794
DOI:10.1016/j.tre.2009.09.003