Publicação
The impact of machine learning models in the prediction of air cargo
| datacite.subject.fos | Ciências Sociais::Economia e Gestão | pt_PT |
| dc.contributor.advisor | Brinca, Pedro | |
| dc.contributor.advisor | Rodrigues, Luis Manuel da Silva | |
| dc.contributor.author | Pinheiro, Diogo Alexandre Marujo | |
| dc.date.accessioned | 2022-06-17T12:34:04Z | |
| dc.date.available | 2022-06-17T12:34:04Z | |
| dc.date.issued | 2022-01-18 | |
| dc.date.submitted | 2021-12-17 | |
| dc.description.abstract | Forecasting is key in the aviation industry. Airlines use software applications to make cargo predictions. This thesis explores the advantages of training Machine Learning models using data from an airline to produce cargo forecasts and it evaluates the quality of these forecasts in the context of the business problem. The dataset available is curated and fed into different regression models, using Python scripts. Results are benchmarked with the current model used by the airline. Most of the models trained in this thesis serve the airline with better cargo predictions than the current model does, at one hour before the scheduled departure time. | pt_PT |
| dc.identifier.tid | 202997324 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10362/140151 | |
| dc.language.iso | eng | pt_PT |
| dc.relation | Nova School of Business and Economics | |
| dc.subject | Operations management | pt_PT |
| dc.subject | Business analysis | pt_PT |
| dc.title | The impact of machine learning models in the prediction of air cargo | pt_PT |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| oaire.awardNumber | UID/ECO/00124/2013 | |
| oaire.awardTitle | Nova School of Business and Economics | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FECO%2F00124%2F2013/PT | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | masterThesis | pt_PT |
| relation.isProjectOfPublication | 644a3f4f-817b-4d0d-aba6-f98cdca28bc7 | |
| relation.isProjectOfPublication.latestForDiscovery | 644a3f4f-817b-4d0d-aba6-f98cdca28bc7 | |
| thesis.degree.name | A Work Project, presented as part of the requirements for the Award of a Masters Double Degree in Management and International Business from the NOVA – School of Business and Economics and Maastricht University Faculty of Economics and Business Administration | pt_PT |
Ficheiros
Principais
1 - 1 de 1
A carregar...
- Nome:
- 2021-22_fall_46555_diogo-pinheiro.pdf
- Tamanho:
- 1.05 MB
- Formato:
- Adobe Portable Document Format