Study on Seat Capacity Allocation in Airline Alliance

DOI

10.2991/amahs-16.2016.76How to use a DOI?

Keywords

Airline alliance, Seat capacity allocation, Stochastic programmingAirline alliance, Seat capacity allocation, Stochastic programmingAirline alliance, Seat capacity allocation, Stochastic programmingAirline alliance, Seat capacity allocation, Stochastic programming

Abstract

In order to optimize seat capacity allocation in airline alliance, improve airline alliance revenue, we developed a stochastic programming model with the revenue of operating airlines as objective function, and used the EMSR method to solve it with MATLAB. The optimal allocations of seat capacity under the different transfer pricesare obtained so that the operating airlines wins maximized expected revenue and marketing airlines pays minimized transfer price. The result shows the model is feasible and effectively to maximize the revenue of the marketing airlines and promote the stability of airline alliance.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yingjing Gu
AU  - Jinfu Zhu
PY  - 2016/12
DA  - 2016/12
TI  - Study on Seat Capacity Allocation in Airline Alliance
BT  - Proceedings of the 2016 International Conference on Advances in Management, Arts and Humanities Science
PB  - Atlantis Press
SP  - 358
EP  - 364
SN  - 2352-5398
UR  - https://doi.org/10.2991/amahs-16.2016.76
DO  - 10.2991/amahs-16.2016.76
ID  - Gu2016/12
ER  -