Proceedings of the 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)

Modelling Revenue Management Problem under Fare Class Interval Customer Choice

Authors
Baohua Wang
Corresponding Author
Baohua Wang
Available Online May 2017.
DOI
10.2991/ammsa-17.2017.28How to use a DOI?
Keywords
modeling; customer behavior; customer choice; operational research; revenue management
Abstract

In order to explain customer choice conditioned on opened classes more realistically and efficiently, I assume a customer considers a discrete choice as a fare class interval and buys the lowest opened class with that interval. Unlike the traditional one-dimensioned, unstructured choice model, I model customer choice as a two-dimensioned fare class interval distribution. I take closed set as a more efficient research angle, and find out an additive principle to reduce computation. Then I turn the traditional maximized decision principle into minimized decision principle and get a new model for the maximized total revenue management problem. This model builds the foundation for more efficient explorations to revenue management problem.

Copyright
© 2017, 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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Volume Title
Proceedings of the 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)
Series
Advances in Intelligent Systems Research
Publication Date
May 2017
ISBN
978-94-6252-355-5
ISSN
1951-6851
DOI
10.2991/ammsa-17.2017.28How to use a DOI?
Copyright
© 2017, 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/).

Cite this article

TY  - CONF
AU  - Baohua Wang
PY  - 2017/05
DA  - 2017/05
TI  - Modelling Revenue Management Problem under Fare Class Interval Customer Choice
BT  - Proceedings of the 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)
PB  - Atlantis Press
SP  - 129
EP  - 132
SN  - 1951-6851
UR  - https://doi.org/10.2991/ammsa-17.2017.28
DO  - 10.2991/ammsa-17.2017.28
ID  - Wang2017/05
ER  -