Optimising the management of arriving baggage at a Kuwait Airways passenger terminal using mathematical programming and simulation

Handling luggage systems is a critical component of a passenger terminal’s operations. The proposed study attempts to find the optimal solution for a manually operated terminal concerning the luggage offloading process from arrival flights carried by a limited number of ground handling agents. Handl...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Abdullah, Ahmad A. (author)
مؤلفون آخرون: Alsaber, Ahmad (author), Al-Sultan, Ahmad T. (author)
منشور في: 2024
الوصول للمادة أونلاين:http://hdl.handle.net/11675/12182
http://www.scopus.com/inward/record.url?scp=85189439145&partnerID=8YFLogxK
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author Abdullah, Ahmad A.
author2 Alsaber, Ahmad
Al-Sultan, Ahmad T.
author2_role author
author
author_facet Abdullah, Ahmad A.
Alsaber, Ahmad
Al-Sultan, Ahmad T.
author_role author
dc.creator.none.fl_str_mv Abdullah, Ahmad A.
Alsaber, Ahmad
Al-Sultan, Ahmad T.
dc.date.none.fl_str_mv 2024-03-28
2025-03-10T09:16:30Z
2025-03-10T09:16:30Z
dc.identifier.none.fl_str_mv 10.37190/ord240101
http://hdl.handle.net/11675/12182
http://www.scopus.com/inward/record.url?scp=85189439145&partnerID=8YFLogxK
dc.publisher.none.fl_str_mv Wroclaw University of Science and Technology
dc.relation.none.fl_str_mv Department of Management- CBE
Operations Research and Decisions
dc.title.none.fl_str_mv Optimising the management of arriving baggage at a Kuwait Airways passenger terminal using mathematical programming and simulation
dc.type.none.fl_str_mv Journal Article
Peer-reviewed
info:eu-repo/semantics/publishedVersion
description Handling luggage systems is a critical component of a passenger terminal’s operations. The proposed study attempts to find the optimal solution for a manually operated terminal concerning the luggage offloading process from arrival flights carried by a limited number of ground handling agents. Handling agents start the offloading process from the aircraft to the cargo luggage containers carried by a cargo car that will take the containers’ trolleys to the cargo area to offload them into the reserved luggage belt carousel. This study aims to improve airport service quality by minimizing the baggage handling process time for arrival flights which leads to minimizing passenger waiting time in the baggage claim area. We proposed both a deterministic and stochastic approach. The integer programming method is provided to minimize the total number of flights assigned to the belt carousel under the realistic constraint of minimizing the luggage load on each belt carousel. Simulation tools were used so that the offloading process could be modeled to study the effects of various parameters such as the number of ground handling agents for different flights with different amounts of luggage.
id AUKR_ed52467badfcfbfeba1c6eff6ffb2ebd
identifier_str_mv 10.37190/ord240101
network_acronym_str AUKR
network_name_str AU Kuwait Rep
oai_identifier_str oai:dspace.auk.edu.kw:11675/12182
publishDate 2024
publisher.none.fl_str_mv Wroclaw University of Science and Technology
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
spelling Optimising the management of arriving baggage at a Kuwait Airways passenger terminal using mathematical programming and simulationAbdullah, Ahmad A.Alsaber, AhmadAl-Sultan, Ahmad T.Handling luggage systems is a critical component of a passenger terminal’s operations. The proposed study attempts to find the optimal solution for a manually operated terminal concerning the luggage offloading process from arrival flights carried by a limited number of ground handling agents. Handling agents start the offloading process from the aircraft to the cargo luggage containers carried by a cargo car that will take the containers’ trolleys to the cargo area to offload them into the reserved luggage belt carousel. This study aims to improve airport service quality by minimizing the baggage handling process time for arrival flights which leads to minimizing passenger waiting time in the baggage claim area. We proposed both a deterministic and stochastic approach. The integer programming method is provided to minimize the total number of flights assigned to the belt carousel under the realistic constraint of minimizing the luggage load on each belt carousel. Simulation tools were used so that the offloading process could be modeled to study the effects of various parameters such as the number of ground handling agents for different flights with different amounts of luggage.Wroclaw University of Science and Technology2025-03-10T09:16:30Z2025-03-10T09:16:30Z2024-03-28Journal ArticlePeer-reviewedinfo:eu-repo/semantics/publishedVersion10.37190/ord240101http://hdl.handle.net/11675/12182http://www.scopus.com/inward/record.url?scp=85189439145&partnerID=8YFLogxKDepartment of Management- CBEOperations Research and Decisionsoai:dspace.auk.edu.kw:11675/121822025-03-10T09:16:30Z
spellingShingle Optimising the management of arriving baggage at a Kuwait Airways passenger terminal using mathematical programming and simulation
Abdullah, Ahmad A.
status_str publishedVersion
title Optimising the management of arriving baggage at a Kuwait Airways passenger terminal using mathematical programming and simulation
title_full Optimising the management of arriving baggage at a Kuwait Airways passenger terminal using mathematical programming and simulation
title_fullStr Optimising the management of arriving baggage at a Kuwait Airways passenger terminal using mathematical programming and simulation
title_full_unstemmed Optimising the management of arriving baggage at a Kuwait Airways passenger terminal using mathematical programming and simulation
title_short Optimising the management of arriving baggage at a Kuwait Airways passenger terminal using mathematical programming and simulation
title_sort Optimising the management of arriving baggage at a Kuwait Airways passenger terminal using mathematical programming and simulation
url http://hdl.handle.net/11675/12182
http://www.scopus.com/inward/record.url?scp=85189439145&partnerID=8YFLogxK