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.

Join us to learn why leading process manufacturers are adopting OCE to improve fleet-wide performance and gain a competitive edge. Register today to see how data-driven benchmarking can transform your operational strategy.

Whether the goal is Set Point Tracking, Disturbance Rejection, or something more specialized, PID tuning must always align with a specific control objective. Without the right tools, tuning can quickly devolve into excessive trial-and-error—wasting time, disrupting operations, and producing inconsistent results. This webinar examines IMC relative to other popular tuning methods like Ziegler-Nichols and assesses them in terms of intuitiveness, speed, and consistency of results across a wide range of processes.

Intended for controls engineers, this session will reveal:

1) What differentiates IMC Tuning from Ziegler–Nichols and other common methods, and why those differences matter.
2) How IMC dramatically reduces trial-and-error, accelerating tuning and minimizing production impact.
3) How IMC makes it easy to generate tuning parameters that align with each loop’s unique control objective, from tracking to disturbance rejection.

Join us to discover why IMC Tuning is one of the most effective and reliable approaches for modern PID optimization. Register now to elevate your facility’s tuning strategy and improve process performance.

Newcomers to process manufacturing often assume that the main goal of PID control is tight Set Point tracking. In reality, many industrial processes require something quite different—tuning the PID for strong disturbance rejection. Understanding this distinction is essential for achieving stable, reliable, and predictable control. This session introduces attendees to this alternative tuning strategy and demonstrates how to systematically configure PID loops to minimize the impact of real-world disturbances.

Designed for individuals new to industrial process control or those seeking a practical refresher, this webinar will help participants:

1) Recognize when disturbance rejection—not Set Point tracking—is the dominant control objective.
2) Apply tuning techniques tailored specifically for disturbance-focused performance.
3) Configure control loops in a structured, repeatable way to ensure stability and robust operation.

Expand your process control knowledge and learn how to use PID tuning to proactively mitigate disturbances. Register today and strengthen your foundation in modern control strategies.

If your facility has only a few dozen PID loops, monitoring and optimizing them is manageable. But when the loop count climbs into the hundreds—or even thousands—most engineers shift from optimization to simply “keeping things running.” The result? Countless opportunities for performance improvement remain hidden in plain sight.

The good news: your historian already contains the data you need… if you know where to find it and how to interpret it. This webinar reveals how everyday operating data—often overlooked—can be transformed into powerful insights for plantwide optimization.

Designed for plant managers and process engineers, this session will show you:

1) How routine output changes and Set Point adjustments contain valuable, untapped optimization opportunities.
2) How to generate large numbers of process models and tune loops—without performing a single bump test.
3) How aggregated model statistics reveal deeper insights into process behavior and control effectiveness across your plant.

Unlock the hidden value in your historian and learn how to scale optimization across hundreds of loops. Register now to drive measurable improvements in process performance and profitability.

Tuning a single PID controller is challenging enough—but when multiple loops interact, achieving stable, predictable performance becomes exponentially more difficult. A loop you just tuned may suddenly destabilize because another loop is influencing it. Understanding and managing these interactions is essential for maintaining reliable process control in complex industrial systems.

This webinar explores the dynamics of loop interaction and presents proven strategies for diagnosing issues and tuning controllers for consistent, optimized performance.

Designed for process and controls engineers, this session will help you:

1) Understand the root causes and behaviors of interacting PID loops, including cross-coupling and system-level effects.
2) Apply diagnostic techniques to identify and isolate interaction-driven problems within your control architecture.
3) Use practical tuning and configuration methods to compensate for loop interaction and restore stable control.

Take control of multi-loop systems and avoid performance degradation caused by interaction. Register now to learn how to minimize its impact and improve overall PID loop performance.