Optimization of the Baggage Loading and Unloading Equipment
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F22%3A00362131" target="_blank" >RIV/68407700:21260/22:00362131 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1016/j.trpro.2022.11.029" target="_blank" >https://doi.org/10.1016/j.trpro.2022.11.029</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.trpro.2022.11.029" target="_blank" >10.1016/j.trpro.2022.11.029</a>
Alternative languages
Result language
angličtina
Original language name
Optimization of the Baggage Loading and Unloading Equipment
Original language description
The subject of this paper is a development of the mathematical model for determining the number of airport equipment dedicated for the baggage loading and unloading. This model can predict the demand for the carts and loaders based on the input data. Based on this prediction, the optimal number of equipment is calculated. The ability to predict the required amount of the airport vehicles in advance could make the aircraft loading and unloading process more efficient. It would also allow better capacity planning of the ground handling system. In the first part, the current state and procedures for baggage loading and unloading are analysed. Based on the theory of linear programming, a mathematical model is created to predict a demand for equipment and calculate the optimal number needed to handle all flights. This model is subsequently implemented in the created software, which allows to perform experiments with the proposed mathematical model. Operation data from Václav Havel Airport Prague are used to verify the correct functioning of the model.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20304 - Aerospace engineering
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Transportation Research Procedia
ISBN
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ISSN
2352-1457
e-ISSN
2352-1465
Number of pages
10
Pages from-to
246-255
Publisher name
Elsevier B.V.
Place of publication
Amsterdam
Event location
Bratislava
Event date
Nov 9, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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