The Limitation of Passive OEE Dashboards
What is the difference between Evocon and MachineMetrics? Evocon is a general production monitoring system that uses basic hardware sensors to track cycle times, while MachineMetrics is a specialized platform designed to extract deep diagnostic data from CNC machines.
Both tools aim to improve Overall Equipment Effectiveness on the factory floor.
However, both platforms force plant managers to operate with a fragmented technology stack. They are excellent at diagnosing a production problem, but they are completely incapable of curing it.
When these systems detect a machine failure, they simply turn a screen red and send a notification. Your technicians still have to open a completely separate software application to generate a work order and secure spare parts.
Evocon: The Basic Production Scoreboard
Evocon gained popularity by offering a highly visual and user friendly interface. The system uses a proprietary hardware device to count machine cycles and track basic downtime events.
The primary weakness of Evocon is its heavy reliance on manual operator input. When a machine stops, the operator must walk over to a screen and manually select the reason for the downtime.
This manual process inevitably leads to subjective data and pencil whipping. Operators frequently select the generic "Other" category just to clear the screen, destroying your ability to perform an accurate Root Cause Analysis.
MachineMetrics: The CNC Specialist
MachineMetrics takes a much deeper technical approach. The platform specializes in connecting directly to the control systems of modern CNC machines and lathes.
It provides incredible visibility into spindle speeds, tool wear, and precise machining diagnostics. This makes it a powerful tool for high precision metal fabrication shops.
The major downside is its lack of flexibility. MachineMetrics struggles to track manual assembly stations, high speed food packaging lines, or older legacy equipment. Furthermore, you must rely on complex API integrations to connect its data to your maintenance execution software.
The Fabrico Framework: OEE Diagnoses, CMMS Cures
To truly protect your profit margins, you cannot simply measure your downtime. You must actively execute repairs to eliminate it. The Fabrico Framework unites production intelligence with maintenance action.
Fabrico eliminates the need for expensive API middleware by natively combining OEE tracking with a Field-Ready CMMS. We connect directly to your factory PLCs or utilize IoT gateways to monitor equipment performance in real time.
If a packaging machine begins running 5 percent slower than its target Takt Time, Fabrico detects the speed loss instantly. The system bypasses human intervention and automatically generates a Condition Based Maintenance work order. Your technicians fix the degrading asset before it suffers a catastrophic Functional Failure.

Visualizing Root Causes with Computer Vision
Standard sensor data tells you that a machine stopped running. It rarely provides the exact physical context of why the failure occurred. Relying on operator notes to diagnose a fault is a massive operational risk.
Fabrico eliminates this guesswork by utilizing an Inefficiencies Zoom In feature powered by Computer Vision. Overhead cameras continuously monitor your critical production lines. When the OEE module detects a micro stop, the system captures a short video clip of the exact event.
Technicians can review this objective visual evidence on their mobile devices before they even pick up a wrench.
This guarantees they arrive at the machine with the correct tools and spare parts on the very first attempt.
Note: We are actively advancing this visual intelligence even further. Our AI driven Computer Vision models and the Fabrico Agent are currently in Beta and on our product roadmap. Soon, the system will autonomously analyze historical video footage to draft step by step repair instructions automatically.
Flawless Execution on the Shop Floor
Discovering a fault quickly means nothing if your team cannot execute the repair efficiently. You must deliver the right information directly to the point of action.
Fabrico delivers every automated work order through our mobile first CMMS application. When a technician arrives at a broken machine, they scan a unique QR code attached to the asset.
This instantly loads the correct digital Standard Operating Procedure and mandatory safety checklists. The technician follows the exact steps, consumes the necessary spare parts from the digital inventory, and signs off.
This strict mobile workflow guarantees high PM compliance and creates a perfect audit trail for ISO standards.
OEE Software Comparison Matrix
| Software Capability |
Evocon (General OEE) |
MachineMetrics (CNC Focus) |
Fabrico (System of Action) |
| Primary Focus |
Visual production scoreboards. |
Deep CNC machine diagnostics. |
Unified Production & Maintenance Action. |
| Data Collection |
Hardware sensors and manual input. |
Direct machine control integration. |
Direct PLC, IoT, and Computer Vision. |
| Visual RCA |
None. |
None. |
Video evidence via Computer Vision Zoom In. |
| Maintenance Triggers |
Passive screen alerts. |
Requires complex API to a CMMS. |
Automated Native CMMS dispatch. |
| Technician Execution |
None. |
None. |
Mobile app with offline mode and QR scanning. |
Conclusion: Stop Monitoring and Start Executing
Buying a passive software tool to monitor your downtime is like buying a faster stopwatch to time your losses. It organizes your failures, but it does nothing to prevent them from happening again.
Manufacturing leaders must demand a unified System of Action. By combining Native OEE, Computer Vision, and a Field-Ready CMMS, you transform your factory into a proactive powerhouse. Upgrade your technology stack today to stop filing paperwork and start maximizing your actual manufacturing capacity.