Apply SPC and Minitab tools to control variation, reduce waste and rework, improve product quality, strengthen decisions, and support regulatory compliance.Dublin, Sept. 29, 2026 (GLOBE NEWSWIRE) -- ...

For years, Process manufacturers have used various tools to optimize industrial processes for specific economic objectives. Multi-variable process control (MPC), or better known as Advanced Process ...

Industrial AI operates in the physical world. A compressor has a real operating envelope. A distillation column has hydraulic and thermodynamic limits. A reactor has temperature and pressure ...

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 ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Tignis has announced a $7.2 million series A funding. The company creates ...

PLC evaluation board applications for industrial process-controlsystems are diverse, ranging from simple traffic control to complexelectrical power grids, from environmental control systems ...

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 data filter is a device, algorithm, or process that removes some unwanted components or features from a data signal. The unwanted component may be random noise (perhaps from mixing turbulence or ...

One of the key ideas in lean manufacturing is that defects should be detected as early as possible. Efforts to control manufacturing processes so that issues can be detected before defects occur ...

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 ...