A two-stage decision dependent stochastic approach for airline flight network expansion

Date
2022-02-28
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Source Title
Transportation Research Part B: Methodological
Print ISSN
0191-2615
Electronic ISSN
1879-2367
Publisher
Elsevier Ltd
Volume
158
Issue
Pages
78 - 101
Language
English
Type
Article
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Abstract

Airlines need to expand their flight networks with developing new routes and introducing more flights to increase their market share. In this work, we propose a two-stage stochastic mixed integer nonlinear program (MINLP), which expands an existing flight schedule by operating new flights either with existing fleet resources or a leased aircraft while considering the impact of departure time decisions on the probability distribution of random demand. Moreover, our study helps an airline to link a strategic decision of leasing an aircraft to the tactical aircraft assignment decisions by considering fuel efficiency and seat capacity of the aircraft alternatives in response to new passenger demand. However, the large number of scenarios, nonlinear fuel burn function and nonlinearities due to the decision dependent probabilities become main challenges of solving the problem. In order to deal with the computational requirements of a two-stage stochastic MINLP with decision dependent probabilities, we propose strong conic quadratic and McCormick inequalities, and an exact scenario group wise decomposition algorithm along with a new bounding method. In our computational results, we clearly demonstrate the effectiveness of proposed decomposition algorithm and the strength of the reformulations.

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Keywords
Airline flight network expansion, Stochastic programming, Decision dependent probabilities, Nonlinear mixed-integer programming
Citation
Published Version (Please cite this version)