Real‐time monitoring of bioprocesses by the integration of analytics at critical unit
operations is one of the paramount necessities for quality by design manufacturing and real …

Highlights•Data analytics has increasing significantly in recent years in the biopharma
sector.•No clear trend observed between algorithm utilisation and data size.•PLS was found …

Advanced model‐based controllers are well established in process industries. However,
such controllers require regular maintenance to maintain acceptable performance. It is a …

Raman spectroscopy is a multipurpose analytical technology that has found great utility in
real‐time monitoring and control of critical performance parameters of cell culture processes …

While machine learning (ML) has made significant contributions to the biopharmaceutical
field, its applications are still in the early stages in terms of providing direct support for quality …

The implementation of process analytical technologies is positioned to play a critical role in
advancing biopharmaceutical manufacturing by simultaneously resolving clinical …

Batch processes in manufacturing industries often adapt new products to meet the changing
market demands. Dynamic modeling with limited data for new products may lead to …

In modern manufacturing enterprises, quality-related soft sensors are important in
production, especially for batch manufacturing processes. In practice, batch processes …

间歇过程作为制造业的重要生产方式之一, 其高效运行是智能制造的优先主题.
为了保障生产过程的高效运行, 面向间歇生产的过程数据解析与状态监控算法在最近三十年间 …

Biopharmaceutical manufacturing comprises of multiple distinct processing steps that
require effective and efficient monitoring of many variables simultaneously in real‐time. The …