Designing MES Dashboards That Operators Actually Use
When it comes to MES dashboards, most of us have seen the same mistakes: screens overloaded with data, confusing layouts, and interfaces that look like they were built for engineers instead of the operators who rely on them. At Belden, we tackled this problem while deploying SparkMES on Ignition, and it gave us practical lessons on what makes dashboards useful, scalable, and, most importantly, adopted on the shop floor.
Start with the Operator, Not the Data
It is easy to begin by asking, What data can we collect? The better question is, What does the operator need to see to act in real time? For Belden, that meant giving operators a high-level view of line performance with the ability to drill down into details like downtime, OEE trends, and reason codes only when needed.
Keep It Visual and Familiar
Operators do not want to parse through endless tables. We focused on:
- Dark theme card layouts for readability in all lighting conditions.
- Color-coded status pills (green, yellow, etc) to show line or machine states at a glance.
- Ignition Perspective dashboard components, which provided reusable widgets and a consistent interface.
We also designed the navigation bar to resemble the familiar Windows taskbar, making it intuitive for operators who were already comfortable in that environment.
Make It Scalable
Custom one-off dashboards fall apart when you try to scale across multiple lines or plants. To solve this, SparkMES uses User Defined Types (UDTs) that act as reusable building blocks.
At Belden, we created UDTs for each machine type and embedded SparkMES’s built-in OEE UDT inside them. This design let us capture infeed, outfeed, scrap, and status data consistently across different equipment, even when tag structures varied. The result was a flexible model where OEE calculations could propagate across machines, lines, and entire facilities without rewriting logic every time.
Balance Automation and Manual Input
Not every machine provides complete data. Some of Belden’s semi-automated equipment did not report downtime codes. Instead of leaving operators stuck, we added manual overrides such as editable reason codes and order numbers. When data gaps appeared, operators could fill them in quickly, keeping the system accurate without creating frustration.
Actionable, Not Just Informative
The best dashboards do more than display numbers. They highlight what needs attention. That is why we included:
- Downtime Pareto charts to identify the biggest causes of lost production.
- Hourly OEE trends to spot performance dips as they happen.
- Drill-down views to move from overview to root cause in just a few clicks.
Final Thoughts
Good MES dashboards are not about adding as many charts as possible. They are about building tools that operators actually use to keep production moving. By designing with scalability, flexibility, and operator context in mind, you set the foundation for real adoption and continuous improvement.
Ready to see SparkMES dashboards in action?
Schedule a demo and discover how operator-first design can transform your plant floor.
You can also explore our Belden case study and video overview to see real-world examples of how SparkMES dashboards improved operator efficiency and enterprise scalability.
