What is OEE-Driven Reliability?
OEE-Driven Reliability is a manufacturing framework where real-time production data, specifically Availability and Performance trends, is used as the primary driver for maintenance prioritization and execution to maximize the MTBF (Mean Time Between Failures) of critical assets.
For Paula (the Strategic Leader), reliability is a financial insurance policy.
In high-speed lines, a single component failure can cascade into hours of lost throughput across the entire facility.
Fabrico eliminates this risk by ensuring that every performance dip detected on the shop floor is instantly converted into a permanent reliability fix.
1. Eliminate "Tribal Knowledge" with Digital CILs
The foundation of reliability is standardized equipment care.
If your operators are still using paper checklists, your OEE Quality is at the mercy of human memory and "Pencil Whipping."
Fabrico’s Digital CILs (Clean, Inspect, Lubricate) ensure that every operator follows the "Centerline" parameters required for peak performance.
By scanning a QR Code at the machine, Tom (the Technician) or the operator can verify that every reliability check is completed and timestamped, ensuring 100% audit readiness.
2. See the "Why" with Visual Root Cause Analysis
You cannot fix a problem you cannot accurately describe.
Traditional sensors often miss the micro-stops that are the early warning signs of a major catastrophic failure.
Fabrico’s Inefficiencies Zoom-In (Computer Vision) module captures high-definition video of every downtime event.
This allows Mike (the Tactical Manager) to "Zoom-In" and see if the root cause was a vibrating guide rail or a material defect.
Providing this visual truth to your team ensures that repairs are permanent, rather than temporary "band-aids" that lead to recurring failures.
3. Move from Calendar PMs to Usage-Based Triggers
Servicing a machine every 30 days regardless of how hard it ran is a recipe for wasted labor and missed wear.
Fabrico’s integrated OEE and CMMS allows you to trigger maintenance based on actual cycle counts and real-time performance drops.
If a labeling machine’s speed drifts 5% below target, the system triggers a Condition-Directed Task before the machine breaks.
This ensures your maintenance effort is always focused on the Value Fulcrum—the high-impact tasks that directly protect your revenue.
Comparison Matrix: Reactive Maintenance vs. OEE-Driven Reliability
| Feature |
Reactive "Firefighting" |
Standard Preventive (Time) |
Fabrico (OEE-Driven Reliability) |
| Data Integrity |
Low / Subjective |
Moderate |
Absolute (PLC + Vision) |
| Response Trigger |
Total Breakdown |
Wall Calendar |
Real-Time Performance Drop |
| Root Cause Depth |
Zero |
Manual / Guesses |
Visual (Zoom-In) Proof |
| Maintenance Link |
None |
Siled / Manual |
Native Integrated CMMS |
| Decision Latency |
Very High |
Moderate |
Zero (Automated) |
| ROI Strategy |
Survival |
Cost Management |
Capacity Reclamation |
The Strategic ROI: Lowering the Maintenance Cost per Unit
For Paula, the business case for Reliability is clear: it stabilizes the Maintenance Cost per Unit while increasing total throughput.
By identifying "Bad Actor" assets through the 80/20 Rule, she can ensure her budget is spent where it yields the highest return on Effective Runtime.
This data-driven foundation is also the prerequisite for the Fabrico Agent (AI Roadmap), which will eventually automate these reliability cycles.
Stop managing your failures. Start engineering your reliability with a System of Action.
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