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Archivio digitale delle tesi discusse presso l’Università di Pisa

Tesi etd-03202023-153414


Tipo di tesi
Tesi di laurea magistrale
Autore
TASCINI, GIOVANNA
URN
etd-03202023-153414
Titolo
Design, Development and Validation of a Decision Support System for optimal spare part management in maintenance activities
Dipartimento
INGEGNERIA DELL'ENERGIA, DEI SISTEMI, DEL TERRITORIO E DELLE COSTRUZIONI
Corso di studi
INGEGNERIA GESTIONALE
Relatori
relatore Prof. Marcelloni, Francesco
Parole chiave
  • data mining
  • maintenance
  • spare part management
  • text mining
Data inizio appello
26/04/2023
Consultabilità
Non consultabile
Data di rilascio
26/04/2093
Riassunto
This thesis was performed in collaboration with the R&D team of LogObject AG, partly carried out in the Zurich site. The main goal of the project is the development of a system able to predict the specific type of materials and spare parts necessary for the maintenance of household appliances, produced by a LogObject customer. The data, analysed with Python, was extracted from the mLogistics software, developed by LogObject and used by the customer to manage the activities of the operators in maintenance tasks. During the project I achieved the following activities: acquisition and exploration of data extracted from the software; development of three main predictive models based on text mining, machine learning and frequent patterns mining; comparison of different models and identification of the best performing one. The analyses led to the creation of a versatile system with wide application possibilities for other customers of the company, able to increase the efficiency in maintenance activities. In addition, the basis for possible future improvements of the project has been laid, starting with the proposal for a new data collection method.
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