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## 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.
  • Inventory Forecasting:
    • InventorySeries maintains time-series forecasts for stock depletion.
    • Predicts when reordering will be needed.
  • Reorder Optimization:
    • InventoryStats helps 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, and PurchaserOrderLineReceipt ensure visibility from order to receipt.
  • Cross-Facility Aggregation:
    • Spare parts data can be rolled up across multiple facilities to manage regional stock levels intelligently.

Example Spare Parts Lifecycle