In this Thesis, a data-driven procedure of investigating raw materials variability in an industrial database is presented, together with a multivariate statistical modelling approach for the first unit operation of continuous tableting lines. The main objective of the Thesis is to explore the capabilities of using pattern recognition techniques to identify and model hidden patterns of similarities in a powder materials dataset and determine the effect of materials variability on the feeder.
Data analytics for powder feeding modelling on continuous secondary pharmaceutical manufacturing processes
Benedetti, Antonio
2018/2019
Abstract
In this Thesis, a data-driven procedure of investigating raw materials variability in an industrial database is presented, together with a multivariate statistical modelling approach for the first unit operation of continuous tableting lines. The main objective of the Thesis is to explore the capabilities of using pattern recognition techniques to identify and model hidden patterns of similarities in a powder materials dataset and determine the effect of materials variability on the feeder.File in questo prodotto:
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Utilizza questo identificativo per citare o creare un link a questo documento:
https://hdl.handle.net/20.500.12608/27633