## Spare Parts
Spare Parts management supports forecasting, optimization, and availability of critical replacement parts for asset maintenance.It connects real-world work orders, inventory levels, and procurement to ML-driven demand forecasts.
Spare Parts Overview
Key Types and Relationships
Core Concepts
-
Work Order Parts Forecasting:
- For any given
WorkOrder, parts demand can be forecasted and projected using current and historical data.
- For any given
-
Inventory Forecasting:
InventorySeriesmaintains time-series forecasts for stock depletion.- Predicts when reordering will be needed.
-
Reorder Optimization:
InventoryStatshelps compute:- Reorder Level: Minimum stock before triggering an order.
- Days on Hand: How long existing stock will last.
- Lead Time: Time from placing to receiving an order.
-
Procurement Tracking:
- Links between
PurchaserOrderLine,PurchaseOrderStats, andPurchaserOrderLineReceiptensure visibility from order to receipt.
- Links between
-
Cross-Facility Aggregation:
- Spare parts data can be rolled up across multiple facilities to manage regional stock levels intelligently.