In manufacturing, Just-in-Time (JIT) is the gold standard for production and inventory. You want raw materials to arrive exactly when the line needs them, not a moment sooner.
Yet, most factories manage Maintenance on a "Just-in-Case" basis.
This approach is expensive. It burns labor and parts on healthy machines.
Just-in-Time Maintenance (JITM) is the application of Lean principles to asset care. It means servicing the machine exactly when the data says it’s necessary, and ideally, exactly when the machine is already stopped for other reasons.
Here is how AI and Connected Data are making JITM possible in 2026.
Why Calendar Maintenance is Anti-Lean
A calendar is a blind instrument. It assumes steady-state production.
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Scenario A: Your machine runs 24/7 for a week. It degrades faster than the calendar predicts. Result: Breakdown before the monthly PM.
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Scenario B: Your machine sits idle for two weeks due to supply chain issues. You perform the monthly PM anyway. Result: Wasted parts and labor on a machine that didn't need it.
JITM moves you from Push Maintenance (Calendar forces work) to Pull Maintenance (Asset condition requests work).
3 Pillars of an AI-Driven JIT Strategy
1. The Trigger: Usage-Based Data
You cannot do JITM without knowing the machine's true age.
Fabrico connects to the PLC to track "Life Units"—Cycles, Run Hours, or Total Output.
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The Old Rule: "Service every 30 days."
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The JIT Rule: "Service every 50,000 cycles."
This ensures that maintenance effort scales perfectly with production intensity.
2. The Slot: Opportunistic Scheduling
This is the hardest part of JITM: Finding a time to stop the machine.
Ideally, you never stop the machine for maintenance; you wait for the machine to stop for production reasons (Changeovers, Breaks, Material Loads).
3. The Supply: JIT Inventory
There is no point in scheduling JIT Maintenance if the part isn't there.
Fabrico links your Inventory Levels to your Machine Usage.
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The Forecast: "Based on current cycle rates, the main bearing will hit its service life in 14 days."
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The Order: The system alerts procurement to order the bearing now, so it arrives 2 days before the service is due.
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The Savings: You don't keep $50,000 of bearings on the shelf gathering dust. You keep them in the supply chain until needed.
The Role of OEE in JITM
Just-in-Time Maintenance is impossible without OEE (Overall Equipment Effectiveness) data.
To time the maintenance perfectly, you need to know:
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Performance: Is the machine slowing down? (A signal to intervene now).
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Availability: When is the next planned stop? (A signal to wait).
Fabrico unifies these views. It gives the Maintenance Manager visibility into the Production Plan, allowing for perfect alignment.
Comparison: Just-in-Case vs. Just-in-Time
| Feature |
Just-in-Case (Traditional) |
Just-in-Time (Fabrico AI) |
| Trigger |
Date / Time |
Condition / Usage |
| Scheduling |
Rigid (Monday 8 AM) |
Fluid / Opportunistic |
| Parts |
Hoarded (Safety Stock) |
Ordered on Demand |
| Downtime |
Planned Outages |
Utilized Windows |
| Risk |
Over/Under Maintenance |
Optimized Care |
The Fabrico Framework: Implementing JITM
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Connect: Link Fabrico to the PLC of your critical assets to read Cycle Counts.
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Define: Switch your PMs from "Calendar" to "Usage" triggers.
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Optimize: Use the Fabrico Agent (roadmap) to identify production gaps for "Opportunistic Maintenance."
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Execute: Technicians receive the task exactly when the window opens.
Conclusion: Timing is Everything
In 2026, efficiency isn't just about working harder; it's about working at the right time.
Just-in-Time Maintenance Software ensures that every minute of wrench time delivers maximum reliability value.
Stop the waste.
[Request a Demo] and see how Fabrico aligns maintenance with production reality.
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