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 ...

Reinforcement learning (RL) represents a paradigm shift in process control, offering adaptive and data‐driven strategies for the management and optimisation of complex industrial processes. By ...

In this article, as in industry, advanced process control (APC) refers primarily to multi-variable control. Multivariable control means adjusting multiple single-loop controllers in unison, to meet ...

Proportional-integral-derivative (PID) is the most common industrial technology for closed-loop control. A proportional-integral-derivative (PID) controller can be used to control temperature, ...

With the continued need for shrinking pattern dimensions, semiconductor manufacturers continue to implement more complex patterning techniques, such as advanced multi-patterning, for the 10nm design ...

In process automation, an alarm is defined as an audible and/or visible means of indicating to the operator an equipment malfunction, process deviation, or abnormal condition requiring an operator ...

Jon Herlocker, co-founder and CEO of Tignis, sat down with Semiconductor Engineering to talk about how AI in advanced process control reduces equipment variability and corrects for process drift. What ...

As part of a financial statement audit, auditors are required to obtain an understanding of a company's internal control system. Internal control is an interconnected web of policies, procedures, ...

In-process methods are key components of quality control in a chemical manufacturing plant. These methods ensure that a production reaction step conducted by trained operators within the entire ...