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Beyond the Dashboard: How to Choose OEE Software That Actually Increases Uptime

Beyond the Dashboard: How to Choose OEE Software That Actually Increases Uptime

Key Takeaways:

 

  • A dashboard is a result, not a tool. OEE software that only shows a score will not move the score.
  • Real uptime gains come from 4 capabilities working together: native CMMS, micro-stop capture, role-based UI, and closed-loop action.
  • The buying criteria most plants use (price, vendor size, dashboard look) predict the lowest ROI. The criteria here predict 30-50% uptime gain in 12 months.

 

Beyond the Dashboard: How to Choose OEE Software That Actually Increases Uptime

Why Most OEE Software Fails to Increase Uptime

The typical OEE software purchase plays out the same way. Plant buys a tool, dashboards go live, the score is now visible. Three months later the score has not moved.

The problem is not the dashboard. It is what is missing AROUND the dashboard. A dashboard is a result. Increasing uptime requires four capabilities the dashboard does not deliver:

  • Detection at the right granularity (micro-stops, not just shift summary)
  • Action wired into the same system (work order auto-created)
  • Role-based UI (operator vs supervisor vs plant manager see different views)
  • Native CMMS integration (not an export-to-Excel handoff)

 

EU benchmark: plants that buy OEE-only tools without these 4 capabilities see 2-4% OEE gain in year one. Plants that buy on these criteria see 15-25%. See benchmarks by sector.

Stop Buying Dashboards. Buy Uptime.

The vendor sales motion will push you toward dashboard demos. They are easy to show. They feel like progress.

The real test is the four capabilities above. Ask for live demos of each, not promotional videos. Watch how the vendor responds when you ask "what happens after the stop is detected?" That answer tells you whether you are buying uptime or a scoreboard.

That is the difference between Fabrico and an OEE-only tool. Native CMMS + Computer Vision + role-based UI + closed-loop action, in one product.

Capability 1 and 2: Detect Everything, Act Automatically

Detect the micro-stops. The 4-second jam that operators reset without logging is where most of the lost uptime hides. PLC-only OEE misses it. Computer Vision catches every stop from 0.4 seconds.

  • EU benchmark: typical packaging line has 47 minutes of micro-stops per shift unlogged in Excel
  • What to ask: "Does your platform detect stops shorter than 30 seconds without operator confirmation?"

 

Act on the detection. A stop that triggers a work order, reserves the spare, and updates the PM schedule closes the loop. A stop that becomes a row in a CSV does not.

  • EU benchmark: closed-loop action shortens MTTR by 35-50%
  • What to ask: "When OEE detects a problem, what specifically happens next in your system, without manual handoff?"

 

See the 5 components of a real OEE solution.

Capability 3 and 4: Role-Based UI + Native CMMS

Role-based UI. Operators need "what to do next." Supervisors need "what stopped me this shift." Plant managers need "what is trending wrong this month." Same data, three different views.

  • EU benchmark: plants with role-based UI hit 90%+ operator adoption in the first month
  • What to ask: "Show me three different login views: operator, supervisor, plant manager. Are they actually different?"

 

Native CMMS. OEE that emails the maintenance manager is not native. OEE that auto-creates the work order, assigns the technician, and reserves the spare part is native.

  • EU benchmark: native CMMS+OEE shortens detection-to-fix time by 60-75% vs bolt-on integration
  • What to ask: "Show me a work order being created automatically from an OEE event. Live, not in a demo video."

 

See how these capabilities affect pricing.

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