Abstract:In the context of
Pharma 4.0, pharmaceutical quality control (PQC)
is beset by issues such as uncertainties from ever-changing critical
material attributes and strong coupling between variables in the multi-unit
pharmaceutical tablet manufacturing process (PTMP), and how to timely
adjust the operational variables to deal with such challenges has
become a key problem in PQC. In this study, we propose a novel data-knowledge-driven
modeling and operational adjustment framework for PTMP by integrating
Bayesian net… Show more
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