Capacity Allocation and Revenue Sharing in Airline Alliances: A Combinatorial Auction-Based Modeling

Joint Authors

Zhu, Jin-fu
Gu, Ying-jing

Source

Mathematical Problems in Engineering

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-7, 7 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-02-07

Country of Publication

Egypt

No. of Pages

7

Main Subjects

Civil Engineering

Abstract EN

This paper attempts to establish a framework to help airline alliances effectively allocate their seat capacity with the purpose of maximizing alliances’ revenue.

By assuming the airline alliance as the auctioneer and seat capacity in an itinerary as lots, the combinatorial auction model is constructed to optimize the allocation of the seat, and the revenue sharing method is established to share revenue between partners by Vickrey-Clarke-Groves (VCG) mechanism.

The result of the numerical study shows that the seat capacity allocation is effective even without information exchanging completely and the twofold revenue shares method shows more excitation for the airlines.

American Psychological Association (APA)

Gu, Ying-jing& Zhu, Jin-fu. 2017. Capacity Allocation and Revenue Sharing in Airline Alliances: A Combinatorial Auction-Based Modeling. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1190091

Modern Language Association (MLA)

Gu, Ying-jing& Zhu, Jin-fu. Capacity Allocation and Revenue Sharing in Airline Alliances: A Combinatorial Auction-Based Modeling. Mathematical Problems in Engineering No. 2017 (2017), pp.1-7.
https://search.emarefa.net/detail/BIM-1190091

American Medical Association (AMA)

Gu, Ying-jing& Zhu, Jin-fu. Capacity Allocation and Revenue Sharing in Airline Alliances: A Combinatorial Auction-Based Modeling. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1190091

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1190091