University of Twente Student Theses
Hand luggage overflow prediction at KLM
Heinrich, Carl Vico (2023) Hand luggage overflow prediction at KLM.
|
PDF
17MB |
| Abstract: | The high demand for hand luggage from airline passengers is a significant challenge for carriers. Due to the limited capacity of the overhead bins and a demand which on a lot of flights is exceeding the capacity, delays are a common occurrence. An accurate prediction of the expected demand of hand luggage which exceeds the available capacity is therefore vital in order to offer passengers the possibility to hand in their hand luggage to reduce delays which are associated with last-minute hand luggage collection. The study found that the combination of the Extreme Gradient Boosting regressor, the Random Forest regressor, and the Multi-layer Perceptron regressor combined in a voting regressor results in the best prediction of the hand luggage overflow. |
| Item Type: | Essay (Bachelor) |
| Clients: | KLM, Amsterdam, Netherlands |
| Faculty: | BMS: Behavioural, Management and Social Sciences |
| Subject: | 54 computer science, 70 social sciences in general |
| Programme: | Industrial Engineering and Management BSc (56994) |
| Link to this item: | https://purl.utwente.nl/essays/96988 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
Show download statistics for this publication
Show download statistics for this publicationRepository Staff Only: item control page