Speciality Business Administration, Analytics and Information Systems
Library of the Faculty of Economics and of the Faculty of Business Administration

2024-11-02

2024

Malifouka Alexandra

Λαζάρου Βασίλειος, Δόκτωρ, Τμήμα Οικονομικών Επιστημών, ΕΚΠΑ

Πρόβλεψη καθυστερήσεων στην αλυσίδα εφοδιασμού με τη χρήση Μηχανικής Μάθησης

Greek

Predicting delays in the supply chain using Machine Learning

The subject matter of this thesis consists of five chapters. It focuses on how delays in the supply chain can be predicted with the contribution of machine learning. It also discusses how financial technology can contribute to supply chain improvement. At the beginning, some general information about supply chain and financial technology is captured, and research done by other researchers on these topics is presented. The introduction of financial technology and blockchain in notable companies is highlighted. Subsequently, the way in which financial technology facilitates commercial finance and the benefits, risks and security issues of using financial technology are discussed. Then, the data set to be processed is analysed and presented using a programming language in order to identify the relationship between the variables and achieve visualisation of them. At the end, the results of the processing, the reasons for choosing the specific algorithms and the comparison of the machine learning methods are presented with a projection of the best algorithm.

Technology - Computer science

Supply Chain Management, Fintech, Blockchain, Machine Learning

No

0

Yes

34

58

File access is restricted only to the intranet of UoA.

https://pergamos.lib.uoa.gr/uoa/dl/object/3422253