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Model predictive control (MPC) algorithm has been widely applied in industry process control systems since last century, like petro-refining and other chemical processes.
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A weigh feeder dispenses material into a process at a precise rate, and it has been employed in industries, e.g., process control, cement manufacturing plants, food industry equipment, and so on.
These chemical sensors have vast application in industries for process control and monitoring in safety, environmental protection, detection of biochemical agents, drug development, in-home medical diagnosis and chemical warfare.
Implementation of continuous manufacturing in the pharmaceutical industry requires tight process control.
Thus, knowledge of salt-forming region, especially the conditional region, would be extremely valuable to industry process design and control.
Thus salt-forming diagram would be extremely valuable to industry process design and control, especially, the treatment of concentrated brine.
It has been recognized that the application of quality by design (QbD) to continuous processing in the pharmaceutical industry leads to better process control, improved product quality and mitigates scale-up issues (Schaber et al., 2011), whereby a component of QbD involves the development quantitative model-based representation of the process.
The process control industry has long invested in the role of time, as well as success or failure.
Hazard Analysis and Critical Control Points (HACCP) has been adopted internationally by the dairy processing industry for the development of process control procedures.
This paper is concerned with practical experiences of achieving human factors and safety interventions in the nuclear power and process control industries.
Arguments for the importance of contextual factors in understanding human performance have been made extremely persuasively in the context of the process control industries.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com