Material Requirement Planning
AI agents that autonomously plan material requirements across multiple production facilities
Real-World Scenario
A heavy equipment manufacturer coordinating materials for 8 global assembly plants producing 50 product families with 100,000+ components.
How It Works
- The AI integrates production schedules, BOMs, supplier lead times, and capacity constraints across all facilities in real-time
- It identifies synergies: “Plants Mexico and Canada both need steel plates week 15 – combine orders for 12% volume discount totaling $1.2M savings”
- Manages dependencies: “Hydraulic pump shortage in Germany will impact excavator production – reallocate 500 units from US plant with excess capacity”
- Optimizes globally: “Shift aluminum extrusion orders from constrained Supplier A to Supplier B with 20% available capacity, maintaining delivery schedules”
Practical Output
The system executes planning delivering: “Weekly MRP run complete: 15,000 purchase orders generated, $4.2M identified in consolidation savings, 23 potential shortages prevented through early intervention, 99.2% on-time material availability achieved. Critical alert: Semiconductor allocation requires CEO approval for Q2 production priorities”