If your facility was ranked as having the worst controller performance in the fleet, you’d likely make optimization a top priority. But what if it was a middle performer? Or even best-in-class? In every case, the first step is understanding how your plant is truly performing—and now there’s finally a reliable way to quantify it.

Overall Equipment Effectiveness (OEE) is a widely accepted framework for assessing the performance of production assets. That same framework is being applied to measuring PID performance at the loop, unit, and plant levels. Through benchmarking, manufacturers can now see exactly where their performance stands—whether underperforming, average, or world-class—and pursue optimization initiatives based on a clearer understanding of the associated opportunities and costs.

Intended for corporate managers, plant managers, and process engineers, this session will show:
1) How accepted statistical analysis methods apply to quantifying controller performance across loops, units, and entire facilities.
2) How comparative statistics reveal performance rank, enabling clear benchmarking against peers and the broader fleet.
3) How benchmarking informs better operational decisions and help target the most valuable performance-improvement opportunities.