Unconstraining Methods in Revenue Management Systems : Research Overview and Prospects

Joint Authors

Guo, Peng
Xiao, Baichun
Li, Jun

Source

Advances in Operations Research

Issue

Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-23, 23 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2012-07-10

Country of Publication

Egypt

No. of Pages

23

Main Subjects

Information Technology and Computer Science

Abstract EN

Demand unconstraining is one of the key techniques to the success of revenue management systems.

This paper surveys the history of research on unconstraining methods and reviews over 130 references including the latest research works in the area.

We discuss the relationship between censored data unconstraining and forecasting and review five alternative unconstraining approaches.

These methods consider data unconstraining in various situations such as single-class, multi-class, and multi-flight.

The paper also proposes some future research questions to bridge the gap between theory and applications.

American Psychological Association (APA)

Guo, Peng& Xiao, Baichun& Li, Jun. 2012. Unconstraining Methods in Revenue Management Systems : Research Overview and Prospects. Advances in Operations Research،Vol. 2012, no. 2012, pp.1-23.
https://search.emarefa.net/detail/BIM-459154

Modern Language Association (MLA)

Guo, Peng…[et al.]. Unconstraining Methods in Revenue Management Systems : Research Overview and Prospects. Advances in Operations Research No. 2012 (2012), pp.1-23.
https://search.emarefa.net/detail/BIM-459154

American Medical Association (AMA)

Guo, Peng& Xiao, Baichun& Li, Jun. Unconstraining Methods in Revenue Management Systems : Research Overview and Prospects. Advances in Operations Research. 2012. Vol. 2012, no. 2012, pp.1-23.
https://search.emarefa.net/detail/BIM-459154

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-459154