TY - JOUR
T1 - A network Airline Revenue Management Framework Based on Deccomposition by Origins ans Destinations
AU - Birbil, S.I.
AU - Frenk, J.B.G.
AU - Gromicho Dos Santos, J.A.
AU - Zhang, Shuzhong
PY - 2014
Y1 - 2014
N2 - We propose a framework for solving airline revenue management problems on large networks, where the main concern is to allocate the flight leg capacities to customer requests under fixed class fares. This framework is based on a mathematical programming model that decomposes the network into origin-destination pairs so that each pair can be treated as a single flight-leg problem. We first discuss that the proposed framework is quite generic in the sense that not only several well-known models from the literature fit into this framework, but also many single flight-leg models can be easily extended to a network setting through the prescribed construction. Then, we analyze the structure of the overall mathematical programming model and establish its relationship with other models frequently used in practice. The application of the proposed framework is illustrated through two examples based on static and dynamic single-leg models, respectively. These illustrative examples are then benchmarked against several existing methods on a set of real-life network problems.
AB - We propose a framework for solving airline revenue management problems on large networks, where the main concern is to allocate the flight leg capacities to customer requests under fixed class fares. This framework is based on a mathematical programming model that decomposes the network into origin-destination pairs so that each pair can be treated as a single flight-leg problem. We first discuss that the proposed framework is quite generic in the sense that not only several well-known models from the literature fit into this framework, but also many single flight-leg models can be easily extended to a network setting through the prescribed construction. Then, we analyze the structure of the overall mathematical programming model and establish its relationship with other models frequently used in practice. The application of the proposed framework is illustrated through two examples based on static and dynamic single-leg models, respectively. These illustrative examples are then benchmarked against several existing methods on a set of real-life network problems.
U2 - 10.1287/trsc.2013.0469
DO - 10.1287/trsc.2013.0469
M3 - Article
SN - 0041-1655
VL - 48
SP - 313
EP - 333
JO - Transportation Science
JF - Transportation Science
IS - 3
ER -