Process control and simulation lie at the heart of modern industrial operations, enabling continuous monitoring, dynamic adjustment, and predictive optimisation of complex process systems.

In the manufacturing world, the word “retrofit” many times is feared to mean “lost production.” In other words, plants—or at least parts of plants—must be shut down for equipment to be upgraded. And ...

The process industry, characterized by continuous, large-scale production, is vital to modern manufacturing. In recent years, integrating big data and artificial intelligence (AI) into process ...

Advanced packaging is transforming semiconductor manufacturing into a multi-dimensional challenge, blending 2D front-end wafer fabrication with 2.5D/3D assemblies, high-frequency device ...

Author Dr. R. Russell Rhinehart discusses his new book, Nonlinear Model-Based Control: Using First-Principles Models in Process Control, and explains why nonlinear first-principles models should be ...

Pharmaceutical companies must use advanced, data-driven strategies to stay competitive while ensuring consistent product quality, high efficiency, and peak productivity. These involve continuous ...

Increasingly tight tolerances and rigorous demands for quality are forcing chipmakers and equipment manufacturers to ferret out minor process variances, which can create significant anomalies in ...

Aim: To demonstrate the potential of in-line nanoparticle size measurements using the NanoFlowSizer (NFS) as a PAT method. To achieve real-time process control by establishing automated regulation of ...

Starting with the sensor, measuring and controlling temperature is an essential building block of process industries. Automatic control in continuous processes uses industrial control systems to ...