An off-line experiment was performed to estimate a model for on-line process control which describes the empirical relationship between the design and production factors affecting the front wheel ...

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 ...

CHEYENNE -- W. Edwards Deming was a quality control guru who revolutionized the Japanese auto industry after World War II and later used his same management model for the U.S. auto industry. He was ...

Vacuum degassing processes in low carbon steel production improve material properties, with real-time gas analysis critical ...

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 ...

A new process control method uses a special mathematical structure to accurately estimate the internal process variables of a system, even when external sensors are damaged. Be it nuclear power plants ...

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 ...

Just over a decade ago, an article titled, "Advanced Control Strategies Move into the Field" (Control, October 2008), highlighted three evolving trends in the process control world that would "make ...

Across the semiconductor industry, both FD-SOI and finFET transistor technologies are in high volume production, with IC manufacturers looking to extend both technologies to gain additional ...