Yes—improving your plant’s process performance is essential. But with competing priorities and limited time, knowing where to focus can be a challenge. This webinar shows how System Health Monitoring (SHM) turns your existing process data into actionable insights, benchmarks your plant against peers, and delivers a prioritized list of issues and corrective actions—making performance improvement faster and easier than ever.

Designed for both corporate and plant-level engineers, this session will show you:

1) How SHM benchmarks plant performance across units, facilities, and the broader fleet.
2) How SHM automatically prioritizes improvement opportunities based on impact and urgency.
3) How SHM’s unified scoring system simplifies root-cause analysis from the loop level to the enterprise level.

Join us to see how leading manufacturers use SHM to cut through information overload and focus on what matters most. Register today and start driving measurable operational excellence.

Within advanced regulatory control, only a handful of strategies consistently boost process performance. Feed-Forward may not be “advanced” in the formal sense—it's technically a basic extension of feedback control—but it remains one of the most powerful and underutilized techniques in a process engineer’s PID toolbox. Knowing when to apply Feed-Forward and how to configure it correctly can make a meaningful difference in stabilizing processes and reducing disturbances.

Designed for controls engineers, this session will equip participants to:
1) Understand the fundamentals and purpose of Feed-Forward control and why it matters.
2) Identify the right applications where Feed-Forward delivers measurable performance gains.
3) Design and implement Feed-Forward strategies effectively for reliable, disturbance-resistant operation.

Join us to explore the practical role of Feed-Forward control and learn how to apply it to improve your facility’s controller performance. Register today to strengthen your process control toolkit.

There are countless KPIs for identifying underperforming PID loops—but one of the most revealing is often overlooked: the amount of time operators spend “babysitting” a controller. Loops that are unstable, noisy, or unpredictable tend to draw repeated operator intervention, effectively overriding automation in an effort to manage volatility and reduce perceived risk. These patterns offer powerful clues about hidden control issues that traditional KPIs miss. Wouldn’t it be valuable to know which controllers demand the most operator attention—and why?

Designed for both corporate and plant engineers, this session will reveal:

1) Why operator interventions are a powerful indicator of underlying control problems that may not appear in conventional KPIs.
2) How to quantify operator interaction and trace it back to root cause, including tuning issues, equipment malfunctions, and process disturbances.
3) How to use these insights to prioritize corrective actions, enhance controller reliability, and improve overall plant safety and performance.

Join us to learn how everyday operator behavior provides a window into your plant’s true control health. Register today to turn manual interventions into actionable improvement opportunities.

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.

“What you don’t know can’t hurt you” is a dangerous mindset—especially when it comes to your facility’s PID controller performance. Overlooking controller issues can lead to instability, increased variability, equipment stress, and unexpected production losses.

This webinar introduces a proven methodology for conducting comprehensive PID performance audits and shows how data-driven analysis can uncover tuning deficiencies, oscillatory loops, and interaction problems that quietly undermine plant performance.

Designed for corporate and plant managers, this session will equip you to:

1) Perform a structured, data-driven PID performance audit using data that you probably already capture.
2) Identify tuning weaknesses, oscillations, and interaction issues the effects of which are routinely overlooked or minimized.
3) Translate audit findings into targeted corrective actions that improve reliability, stability, and overall process performance.

Learn how plant-wide controller assessments can prevent costly disruptions and boost operational efficiency. Register now to gain the skills needed to evaluate and elevate your facility’s control performance.

Manual PID tuning remains common—and Control Station even teaches a repeatable, calculator-based approach for estimating models and tuning coefficients. But relying on trend estimates and slope calculations can be imprecise, time-consuming, and disruptive. Without visibility into the controller’s predicted response, tuning often requires multiple iterations that slow down operations and impact production.

Innovations in process modeling effectively eliminate these challenges by generating accurate models from real operating data, even when noisy or oscillatory, and by validating PID performance before parameters are put into service.

Intended for individuals responsible for PID loop tuning, this session will equip you to:

1) Understand why manual tuning frequently leads to inaccurate results, repeated adjustments, and prolonged performance disruptions.
2) Learn how an innovative modeling approach develops reliable models and optimal tuning parameters—even from imperfect data.
3) See how modeling eliminates issues by simulating the PID response prior to implementation, ensuring first-time-right optimization.

Discover the hidden costs of manual tuning and how NSS accelerates plant-wide control improvement. Register now to streamline your tuning workflow and improve process performance.

For decades, discrete manufacturers have relied on Overall Equipment Effectiveness (OEE) to identify underperforming machines. As a normalized metric, OEE can be applied consistently across individual assets, production lines, or entire cells. When a line’s OEE drops, the math makes it easy to isolate the specific machine or asset dragging performance down.

Process manufacturers can apply this same powerful concept to PID controller performance—enabling objective benchmarking, rapid root cause analysis, and smarter optimization decisions.

Intended for corporate and plant managers, this session will equip participants to:

1) Understand how the OEE framework can be applied to assessing controller performance at the loop, unit, and plant levels.
2) Use this method pinpoints underperforming controllers and identifies root causes, including tuning issues, equipment problems, or process changes.
3) Leverage new KPI insights to prioritize improvements and drive plant-wide performance gains using a data-driven, OEE-style approach.

See how applying proven OEE concepts to process control can simplify optimization and improve operational effectiveness. Register now to learn why leading manufacturers are embracing a new method.