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Reducing Aircraft On Ground risk isn’t about buying more parts—it’s buying fewer, smarter. Use CBRA to rank components by AOG hours avoided, size regional pools for ≥90% coverage within 4–6 hours, and pre-position parts before failure.
AOG inventory strategy is the practice of minimizing aircraft downtime risk by optimizing which components to stock, where to position them, and when to deploy them—without overinvesting in inventory.
Inventory is not a cost center—it is operational insurance.
Material costs remain elevated, and AOG downtime is extremely expensive.
The objective is not to stock more parts, but to stock the right parts, in the right place, at the right time.
The win is not stockpiling—it is choosing fewer parts, better.
The financial reality is clear:
A lean inventory model taken too far becomes a risk exposure.
One avoidable AOG hour can cost more than a year of carrying a few critical parts.
The goal is:
If prevention value > carrying cost → stock the part
Reducing AOG exposure is not about buying more parts—it is about building a coordinated system.
This system has three components:
Together, they allow operators to reduce downtime while controlling capital.
Traditional models focus on:
CBRA adds a third dimension:
AOG impact probability
This allows prioritization based on:
expected AOG hours avoided per $1k invested
Key insight:
High risk does not always mean “replace”—it means make a decision based on:
Instead of duplicating inventory across locations, pooling creates shared availability.
Outcome:
availability increases without proportional inventory growth
Predictive positioning transforms reliability signals into logistics decisions before failure occurs.
Core principle:
Move the part—not the aircraft
This converts potential AOG events into scheduled maintenance events
Fragmented supplier networks introduce:
A consolidated vendor strategy enables:
Strategic insight:
Vendor structure directly impacts AOG response performance
At APAS, inventory strategy is driven by intelligence-led decision making.
1) Proactive inventory intelligence
Identify high-risk components using AOG patterns and reliability signals
2) Vetted, quality-first sourcing
Global supplier network ensuring compliance and traceability
3) Joint ROI model
Alignment between finance and operations using shared decision frameworks
Objective:
Prevent AOG events from becoming operational disruptions
Performance must be measured using operational outcomes, not just inventory levels.
Measures downtime prevented through better planning and positioning
Tracks availability within defined response windows
Reflects true cost of inventory across capital, storage, and risk
Tracks capital tied in non-performing inventory
These KPIs align inventory decisions with operational performance
This is not a trade-off between inventory and stability.
It is about using:
to:
Minimizing AOG risk is not about holding more inventory.
It is about:
The result is a system where:
-availability is protected
-capital is optimized
-downtime is reduced
Combine a 24/7 AOG desk with regional pooling, exchange access, and pre-cleared logistics lanes. Ensure providers can issue proper airworthiness documentation (FAA 8130-3 / EASA Form 1) for first-pass acceptance.
Always validate traceability and release documentation.
Look for:
[1] Applied Sciences, 2025: Managing Operational Efficiency and Reducing Aircraft Downtime by Optimization of AOG Processes for Air Operator
[2] Oliver Wyman — MRO Survey 2024.
[3] Oliver Wyman — 2025 MRO industry update (material cost actuals/outlook).
[4] IATA — Compilation of ERP Regulations, Standards, and Guidance (v1.5, Oct 5, 2024).
[5] APQC — Inventory carrying cost percentage (definition/method).
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