An airline yield management simulation model with multiple fare classes allowing cancellation, no-show and chance passengers with an assessment of different booking policies

This study is primarily based on a single leg flight with multiple fare classes that allows cancellations, no shows and chance passengers with an assessment of the different booking policies, such as the non nested seat allocation, nested booking limit, and overbooking policy. he main objectives of...

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Main Author: Villanueva, Aissa Mae P.
Format: text
Language:English
Published: Animo Repository 2005
Subjects:
Online Access:https://animorepository.dlsu.edu.ph/etd_masteral/3284
https://animorepository.dlsu.edu.ph/context/etd_masteral/article/10122/viewcontent/CDTG003892_P.pdf
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Institution: De La Salle University
Language: English
id oai:animorepository.dlsu.edu.ph:etd_masteral-10122
record_format eprints
spelling oai:animorepository.dlsu.edu.ph:etd_masteral-101222022-03-18T01:48:45Z An airline yield management simulation model with multiple fare classes allowing cancellation, no-show and chance passengers with an assessment of different booking policies Villanueva, Aissa Mae P. This study is primarily based on a single leg flight with multiple fare classes that allows cancellations, no shows and chance passengers with an assessment of the different booking policies, such as the non nested seat allocation, nested booking limit, and overbooking policy. he main objectives of the study are to identify and assess the distinguishing effects of the different booking policies, which include the non nested seat allocation approach, nested booking limit and overbooking policy, reviewed from the literature to revenue, and to ascertain how variations of customer behavior variables, identified as the inter-arrival time of the regular passengers, cancellation probabilities, no show probabilities and chance passengers arrival distribution, affect the revenue across the different booking policies. At the same time, the impact of the interaction of these policies and customer behavior variables to the revenue to be generated in the system will be determined. 2005-01-01T08:00:00Z text application/pdf https://animorepository.dlsu.edu.ph/etd_masteral/3284 https://animorepository.dlsu.edu.ph/context/etd_masteral/article/10122/viewcontent/CDTG003892_P.pdf Master's Theses English Animo Repository Simulation methods Airlines--Management Reservation systems Service industries--Management Airlines--Rates--Mathematical models Industrial Engineering
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
language English
topic Simulation methods
Airlines--Management
Reservation systems
Service industries--Management
Airlines--Rates--Mathematical models
Industrial Engineering
spellingShingle Simulation methods
Airlines--Management
Reservation systems
Service industries--Management
Airlines--Rates--Mathematical models
Industrial Engineering
Villanueva, Aissa Mae P.
An airline yield management simulation model with multiple fare classes allowing cancellation, no-show and chance passengers with an assessment of different booking policies
description This study is primarily based on a single leg flight with multiple fare classes that allows cancellations, no shows and chance passengers with an assessment of the different booking policies, such as the non nested seat allocation, nested booking limit, and overbooking policy. he main objectives of the study are to identify and assess the distinguishing effects of the different booking policies, which include the non nested seat allocation approach, nested booking limit and overbooking policy, reviewed from the literature to revenue, and to ascertain how variations of customer behavior variables, identified as the inter-arrival time of the regular passengers, cancellation probabilities, no show probabilities and chance passengers arrival distribution, affect the revenue across the different booking policies. At the same time, the impact of the interaction of these policies and customer behavior variables to the revenue to be generated in the system will be determined.
format text
author Villanueva, Aissa Mae P.
author_facet Villanueva, Aissa Mae P.
author_sort Villanueva, Aissa Mae P.
title An airline yield management simulation model with multiple fare classes allowing cancellation, no-show and chance passengers with an assessment of different booking policies
title_short An airline yield management simulation model with multiple fare classes allowing cancellation, no-show and chance passengers with an assessment of different booking policies
title_full An airline yield management simulation model with multiple fare classes allowing cancellation, no-show and chance passengers with an assessment of different booking policies
title_fullStr An airline yield management simulation model with multiple fare classes allowing cancellation, no-show and chance passengers with an assessment of different booking policies
title_full_unstemmed An airline yield management simulation model with multiple fare classes allowing cancellation, no-show and chance passengers with an assessment of different booking policies
title_sort airline yield management simulation model with multiple fare classes allowing cancellation, no-show and chance passengers with an assessment of different booking policies
publisher Animo Repository
publishDate 2005
url https://animorepository.dlsu.edu.ph/etd_masteral/3284
https://animorepository.dlsu.edu.ph/context/etd_masteral/article/10122/viewcontent/CDTG003892_P.pdf
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