US manufacturers invest billions in spare parts inventory, yet 15% of maintenance delays are caused by parts unavailability. The challenge: balance having the right parts available when needed against the cost of carrying excess inventory. AI scheduling transforms this equation by accurately predicting when parts will be needed, enabling just-in-time parts availability.
The Parts Availability Problem
- Stockouts: 15% of maintenance delays due to missing parts
- Excess Inventory: 25-30% of MRO inventory is obsolete
- Lead Times: Critical parts often have 12-16 week lead times
- Carrying Cost: 20-30% annually of inventory value
Schedule-Driven Inventory
When maintenance schedules are optimized months in advance, parts requirements become predictable. AI scheduling enables just-in-time parts procurement while ensuring availability.
AI Scheduling Benefits
- Predictable parts requirements from schedule
- Coordinated ordering with maintenance timing
- Reduced emergency expediting costs
- Optimal safety stock levels
- Obsolete inventory reduction
23%MRO inventory reduction while improving parts availability
Implementation Approach
- Integration: Connect scheduling to inventory systems
- BOM Accuracy: Ensure bill of materials completeness
- Lead Time Data: Accurate supplier lead times
- Criticality: Prioritize based on equipment criticality
Optimize Your Parts Inventory
See how AI scheduling can improve parts availability while reducing inventory costs.
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