Skip to main content

Efficient Formulations for Next-generation Choice-based Network Revenue Management for Airline Implementation

Abstract Revenue management is at the core of airline operations today; proprietary algorithms and heuristics are used to determine prices and availability of tickets on an almost-continuous basis. While initial developments in revenue management were motivated by industry practice, later developments overcoming fundamental omissions from earlier models show significant improvement, despite their focus on relatively esoteric aspects of the problem, and have limited potential for practical use due to computational requirements. This dissertation attempts to address various modeling and computational issues, introducing realistic choice-based demand revenue management models. In particular, this work introduces two optimization formulations alongside... (more)
Created Date 2016
Contributor Clough, Michael C. (Author) / Gel, Esma (Advisor) / Jacobs, Timothy (Advisor) / Askin, Ronald (Committee member) / Montgomery, Douglas (Committee member) / Arizona State University (Publisher)
Subject Industrial engineering / Operations research / Airline operations management / Choice-based demand / Linear programming / Mixed integer programming / Revenue management
Type Doctoral Dissertation
Extent 123 pages
Language English
Reuse Permissions All Rights Reserved
Note Doctoral Dissertation Industrial Engineering 2016
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

  Full Text
1.0 MB application/pdf
Download Count: 439

Description Dissertation/Thesis