Tipo di tesi
Tesi di laurea magistrale
Titolo
Development and testing of an AI-based
spare parts prediction system
Dipartimento
INGEGNERIA DELL'INFORMAZIONE
Corso di studi
ARTIFICIAL INTELLIGENCE AND DATA ENGINEERING
Riassunto (Italiano)
This master's thesis explores the domain of spare parts prediction for household appliance repair tasks within the field of Artificial Intelligence. The study involves the analysis of a dataset from a Swiss household appliance company, focusing on the adaptation of an existing system to the new data. The research extends to the enhancement of the system through the optimization of the algorithm's search logic and the refinement of spare parts categorization. Additionally, a novel version of the algorithm is proposed, capable of dynamically predicting the number of required parts based on the input task's complexity. The achieved outcomes showcase a stable and portable system, demonstrating improved efficiency and adaptability in predicting spare parts for household appliances.
