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Cameras act as an additional visibility layer in Fabrico’s OEE system — capturing the human and process context that sensors or PLC data alone can’t provide. Combining machine + human interface + camera data allows Fabrico to move from partial to full visibility.

1. Capturing True Equipment Availability

• Cameras detect when a machine is stopped, even if sensors don’t register it (e.g., when a line is technically “on” but not producing) and people do not report.
• They help validate microstops, idle time, and manual interventions, closing the gap between logged and real downtime.
• Visual events are automatically time-stamped and linked to machine IDs, updating Availability metrics in real time.

2. Improving Performance Accuracy

• By analyzing cycle patterns visually, cameras verify whether production runs at the correct speed.
• They identify manual slowdowns, material jams, or hesitation in operator actions — causes often missed by machine data.
• This refines Performance calculations, ensuring every second of lost production speed is captured.

3. Enhancing Quality Tracking

• Cameras can spot defects, misalignments, or rejected parts during the production process.
• These quality losses are instantly associated with machine or batch records, improving Quality accuracy within OEE.

4. Linking Human and Machine Data

• Fabrico connects vision data with operator activity, work orders, and machine states — creating a “digital twin” of production.
• This enables teams to see not just what stopped the line, but who, why, and how it happened.

Result: Complete OEE Visibility

Non, tout est compris dans l'abonnement mensuel. Vous n'aurez pas à vous soucier de frais d'installation ou de maintenance supplémentaires.

Fabrico fonctionne sur le nuage, vous n'avez donc pas besoin d'installer ou de gérer des serveurs. Il vous suffit d'un appareil mobile ou d'un navigateur pour y accéder.

Our solution extends beyond day-to-day maintenance into full Enterprise Asset Management (EAM). By integrating with your ERP, we track all costs associated with an asset—initial purchase, labor, parts, and service contracts—from acquisition to decommissioning. This comprehensive view allows finance and reliability teams to accurately calculate Residual Value and make data-backed decisions on asset repair vs. replace strategies.

While OEE is critical, our advanced analytics dashboards provide deep visibility into dozens of core maintenance and reliability Key Performance Indicators (KPIs), including:

• Mean Time Between Failure (MTBF) 
• Mean Time To Repair (MTTR) 
• PM Compliance Rate 
• Machine Utilization Rate
• Run Time vs. Planned Production Time
• Availability Losses (planned + unplanned downtime)
• Performance Losses (speed, microstops, minor stops)
• Quality Losses (scrap, rework, defects)
• Throughput per Shift / per Hour
• Cycle Time vs. Takt Time
• Changeover Time (SMED metric)
• Yield Rate / First Pass Yield
• Scrap & Rework Rate
• Uptime Ratio
• Production achievement (planned vs. actual production)
• Work-in-Process (WIP) Levels
• Lead Time per Batch / per Order
• Overall Labor Efficiency (OLE)
• Capacity Utilization

These insights empower Reliability Engineers to conduct effective Root Cause Analysis (RCA) and continuously optimize maintenance programs.

We eliminate the paper trail by digitizing and centralizing all critical documentation. When a technician scans an asset or accesses a work order on the mobile app, they instantly receive the latest, version-controlled SOPs, checklists, safety warnings, and high-resolution schematics. This guarantees work is performed correctly and safely every time, protecting both your personnel and the quality of your output.