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.
","abstract_html":"<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>","abstract_has_math":false,"creators":["Fanasheh, Husam Abdallah Mahmoud"],"institution":null,"degree_name":"Master of Business Administration in Aviation","degree_level":"Thesis - Open Access","degree_discipline":"Aviation Business Administration","degree_department":null,"school":null,"contributors":["Bijan Vasigh","Tom Tacker","Abe Harraf"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":1997,"date_issued":"1997-04-01T08:00:00Z","date_published":"1997-04-01T08:00:00Z","updated_at":"2026-07-27T19:25:23Z","subjects":["airlines","optimization","seat inventory","Aviation","Management and Operations"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://commons.erau.edu/db-theses/98","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Bijan Vasigh","Tom Tacker","Abe Harraf"]},{"key":"dc:creator","label":"Author","values":["Fanasheh, Husam Abdallah Mahmoud"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"thesis:degree_discipline","label":"Discipline","values":["Aviation Business Administration"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis - Open Access"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Business Administration in Aviation"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["airlines","optimization","seat inventory","Aviation","Management and Operations"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://commons.erau.edu/db-theses/98"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["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.
"]},{"key":"dc:title","label":"Title","values":["An Optimization Technique of Airlines' Seat Inventory Management"]}]}],"canonical_facts":{"dc:contributor":["Bijan Vasigh","Tom Tacker","Abe Harraf"],"dc:creator":["Fanasheh, Husam Abdallah Mahmoud"],"dc:description.abstract":["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.
"],"dc:identifier":["https://commons.erau.edu/db-theses/98"],"dc:subject":["airlines","optimization","seat inventory","Aviation","Management and Operations"],"dc:title":["An Optimization Technique of Airlines' Seat Inventory Management"],"thesis:degree_discipline":["Aviation Business Administration"],"thesis:degree_level":["Thesis - Open Access"],"thesis:degree_name":["Master of Business Administration in Aviation"]},"updated_at":"2026-07-27T19:25:23Z"}