Material Requirements Planning

SJ
Sarah Johnson

📋 Intelligent MRP Planning

AI-driven demand calculation • 342 BOMs analyzed • Next MRP run: 4 hours
📈
DEMAND SPIKE

Production Demand Surge Detected

AI forecasting models predict 34% increase in demand for Product Family A in next 30 days. Material requirements for 23 components need immediate adjustment.

Demand increase: +34% Affected components: 23 Lead time impact: 5-7 days
🔧
BOM OPTIMIZATION

Bill of Materials Enhancement

Machine learning analysis suggests optimizing 12 BOMs to reduce material costs by 8.5% and improve manufacturability. Alternative components identified with better cost-performance ratios.

Cost reduction: 8.5% BOMs optimized: 12 Annual savings: $620K
⚠️
CONSTRAINT

Capacity Constraint Analysis

AI identifies material bottleneck at Component SC-7721 limiting production capacity to 85%. Suggest supplier diversification and buffer stock increase.

Capacity utilization: 85% Bottleneck component: SC-7721 Buffer needed: +200 units

🎯 MRP Performance Metrics

All systems operational
📋
342
Active BOMs
⚡
96.8%
MRP Accuracy
📊
2,847
Components Tracked
🔄
4.2hrs
Avg Processing Time

Material Demand Forecast

BOM Complexity

Material Requirements Plan

Material Code Description BOM Level Gross Requirement Scheduled Receipts On Hand Net Requirement Planned Order Order Date
SC-4521 Steel Component Grade A L1 500 units 200 units 142 units 158 units 200 units Jun 10
PM-7832 Polymer Material Blue L2 3,000 kg 1,000 kg 2,450 kg 0 kg - -
EL-9911 Electronic Module X1 L1 1,200 units 400 units 856 units 0 units - -
AS-3344 Assembly Bracket Steel L3 800 units 0 units 245 units 555 units 600 units Jun 18
RT-2389 Raw Textile Material L2 4,500 meters 1,500 meters 3,200 meters 0 meters - -

BOM Cost Analysis

Lead Time Distribution