TL;DR

• High OEE does not guarantee optimal operational performance.
• Bottlenecks often originate outside of equipment effectiveness.
• Real-time scheduling provides broader visibility into the value stream.
• Simulation helps identify the root causes behind performance issues.
• Operational excellence requires a holistic approach beyond OEE.

Why this matters now

As life sciences teams strive to achieve operational excellence, many focus on overall equipment effectiveness (OEE) as a primary performance metric. On the surface, this approach seems logical. If equipment is operating efficiently, it is easy to assume everything else is running smoothly.

Not necessarily.

As life sciences automation expert Christian Berg explains in a recent article in Pharmaceutical Processing World:

“Bottlenecks come in many shapes and sizes, and many of them are not specific to equipment functionality. Therefore, if the operations team in the previous example is performing many of its tasks manually, they likely cannot manage the full spectrum of multivariate data necessary to see how OEE, or lack thereof, truly impacts the process.”

This highlights a common misconception: excellent equipment performance does not automatically translate into excellent operational performance.

Takeaway: OEE is most valuable when used as a diagnostic indicator within the broader production process.

Christian argues that OEE should not be treated as an isolated metric, but instead evaluated in the context of overall process flow and operational performance.

Staying on schedule

Scheduling is one metric that organizations cannot afford to overlook.

Today, teams are using DeltaV™ Real Time Scheduling (RTS) software to replace spreadsheet-driven processes with automated scheduling solutions. The advantage of RTS is its ability to integrate with control systems, manufacturing execution systems (MES), and enterprise systems, providing a more complete view of operational performance.

“Armed with this valuable information, the team can identify whether [production] is progressing according to product demand. If it is not, that is an indication there is a problem somewhere in the value stream.”

This broader perspective makes it easier to identify problems that OEE alone cannot reveal.

Takeaway: Scheduling performance provides critical visibility into value-stream issues that OEE may miss.

If operational challenges stem from material availability, changeovers, staffing constraints, or supply-chain issues, equipment effectiveness metrics alone will not identify the root cause. Combined with RTS capabilities, however, OEE becomes significantly more useful.

Simulation is a critical tool

One of the biggest challenges in identifying bottlenecks is interpreting the complex multivariate data generated across a facility.

Leading organizations are addressing this challenge by integrating data from scheduling, production, maintenance, and reliability systems into DeltaV Discrete Event Simulation (DES) software.

These simulation models help teams identify where issues are occurring and determine their root causes, sometimes down to specific pieces of equipment.

“The powerful models in DES can help teams identify which process steps are experiencing problems and dig into the root causes of those problems, even pointing out specific problematic pieces of equipment.”

Simulation transforms operational data into actionable insight.

Takeaway: Simulation helps organizations understand not just where problems occur, but why they occur.

Using simulation alongside OEE provides important context, allowing teams to move beyond simple performance measurements and into true root-cause analysis.

Getting ahead of OEE

Many of the issues revealed through OEE analysis can actually be identified much earlier using predictive maintenance technologies and broader operational analytics.

Instead of reacting to declining OEE scores, organizations can leverage automation, reliability technologies, and simulation tools to anticipate performance challenges before they impact production.

This allows teams to proactively address inefficiencies rather than simply measuring them after the fact.

Takeaway: Predictive technologies help organizations identify and resolve issues before they affect OEE.

Building a holistic performance strategy

Ultimately, OEE does not exist in a vacuum.

While OEE remains a valuable performance metric, it should be viewed as one component of a larger operational excellence strategy that includes scheduling, simulation, predictive maintenance, and integrated operational visibility.

Organizations that combine these capabilities are better positioned to identify bottlenecks, optimize production, and continuously improve performance across the value stream.

Takeaway: Operational excellence comes from connecting OEE to the broader operational context, not from optimizing OEE alone.