Blogs

Process Control Improvement Recommendations Tips

Here we look at how to make sure the measurement system is able to provide the analysis, metrics, and control needed for process control improvement. Also outlined is the opportunity sizing and assessment process, the use of statistical tools, the tracking down of the source of variability, and the finding...

Process Control Improvement Perspective Tips

The benefits from process control improvement originate from increases in process efficiency, flexibility, and capacity. Often, there is a tradeoff where an increase in flexibility or capacity is accompanied by a decrease in efficiency. Better measurements, process knowledge, online metrics, and an enhanced PID can provide a more intelligent and effective...

Extending Process Control Benefits Analysis Tips

What can be done besides the typical analysis for control benefits that show a setpoint can be moved closer to a constraint by reducing variability? Here we take a quick look at five things that can be done to extend this analysis to unknown effects and recognize and seek benefits...

Fundamentals of Process Modeling for ISA Certification of Automation Professionals (CAP) Tips

Here are the new sections on process modeling fundamentals for the next edition of the Guide to the Automation Book of Knowledge that is the primary resource for the ISA Certification of Automation Professionals (CAP) Program. The following includes text that may not fit into the page allocation for Chapter 12 on process...

The Difference Between Process Control & Management

According to Webster control is “to exercise restraining or directing influence over” whereas manage is “to exercise executive, administrative, and supervisory direction of”.  Subtle but distinctly different.  While process control may be necessary to ensure safety and proper operation it is process management that makes money for t

Checklist for a Virtual Plant

What is the most effective type of simulation? What is the fidelity needed? How can you automatically increase fidelity? How can you help operators deal with abnormal situations? How can you have a laboratory that behaves like the real plant to learn how the process responds, demonstrate creative control solutions, and quantify the benefits?