Automated process control systems play a critical role in optimizing industrial operations by integrating advanced technologies such as real-time monitoring, adaptive algorithms, and predictive ...

These models can be used either offline to provide the optimal process cycle, or online to provide optimal, real-time process control [3]. This is the target of the iREMO project (www.iremo.eu), an EC ...

Optimizing process automation and digitalization is no longer optional; it is essential for competitiveness, profitability, ...

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 ...

Numerous manufacturing throughput processes have been automated over the years in an effort to reduce delivery times. For a variety of reasons, however, quality control has remained a manual process ...

Designed for online analysis to provide an accurate overview of the current state of a production process, the PMD300 moisture analyzer employs microwave resonance technology to automate multiple ...

Overgrinding represents a substantial problem in milling, due mainly to the use of low throughput off-line particle size characterization methods. It is a problem in many industries, from ...

This paper describes the present status of statistical process control from the view-point of the statistician. It summarizes twenty papers dating from early 1930 to the present. It indicates the ...

International Statistical Review / Revue Internationale de Statistique, Vol. 61, No. 1, Special Issue on Statistics in Industry (Apr., 1993), pp. 67-80 (14 pages) Algorithmic Statistical Process ...

The process control and instrumentation minor emphasizes developing skills and knowledge in theory, software and in the field. Students graduate ready to solve complex control problems in the chemical ...