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Embry Riddle Aeronautical University

An Optimization Technique of Airlines' Seat Inventory Management

Abstract

dc:description.abstract

<p>This study consisted of a simulation to maximize an airline's Origin- Destination revenues. It has been hypothesized that Linear Programming is capable of maximizing airlines' networks revenues. Simulation was performed with Linear Interactive Discrete Optimizer (LINDO). This project was designed to consider different fares and its classes along with multi flight connections. The seats' allocation process came out with the maximum possible revenues, and enough flexibility in terms of changing such allocation to work around competition and trends. Results came supportive to the hypothesis. Sensitivity analysis provided our model with a tool to modify and change different variables, like fares, without affecting the reached goal (maximized network revenues). Although, the utilized network is a portion of a real world one, this study should inspire revenue management departments build their own simulation based on this model. Conclusion and recommendations are submitted.</p>

Degree

thesis:*
Name thesis:degree_name
Master of Business Administration in Aviation
Level thesis:degree_level
Thesis - Open Access
Discipline thesis:degree_discipline
Aviation Business Administration
Year
1997

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Fanasheh, Husam Abdallah Mahmoud
Contributors dc:contributor
  • Bijan Vasigh
  • Tom Tacker
  • Abe Harraf

Subjects

dc:subject × 5

Identifiers

dc:identifier.*
Repository record dc:identifier
https://commons.erau.edu/db-theses/98
OAI identifier oai:identifier
oai:commons.erau.edu:db-theses-1073

Chain of custody

source
Harvested from
Embry Riddle Aeronautical University
Base URL
commons.erau.edu/do/oai/
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
citation

Fanasheh, Husam Abdallah Mahmoud. An Optimization Technique of Airlines' Seat Inventory Management. Thesis - Open Access thesis, 1997. https://commons.erau.edu/db-theses/98