Pharmaceutical enterprises are among the most innovative and important from the point of view of the industrial future development. The thesis aim is to study a first freeze-dryer, which is currently in use in the company, to create a Digital Twin of the second freeze-dryer, currently under construction. The production historical data and the relative maintenance data of the first one are the input of a machine learning model to study a predictive maintenance model of the second one.
Pharmaceutical enterprises are among the most innovative and important from the point of view of the industrial future development. The thesis aim is to study a first freeze-dryer, which is currently in use in the company, to create a Digital Twin of the second freeze-dryer, currently under construction. The production historical data and the relative maintenance data of the first one are the input of a machine learning model to study a predictive maintenance model of the second one.
ANALYSIS OF A FREEZE-DRYING PROCESS: SANOFI CASE STUDY
RUBINI, RAMONA
2021/2022
Abstract
Pharmaceutical enterprises are among the most innovative and important from the point of view of the industrial future development. The thesis aim is to study a first freeze-dryer, which is currently in use in the company, to create a Digital Twin of the second freeze-dryer, currently under construction. The production historical data and the relative maintenance data of the first one are the input of a machine learning model to study a predictive maintenance model of the second one.I documenti in UNITESI sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
https://hdl.handle.net/20.500.14253/85939