What is Lead Time?
Lead time is the total elapsed time between initiating an order and receiving or completing it.
Definition
Lead time is the duration from when an order is placed to when the goods are received or the product is produced and available. It can be broken into components such as order processing, supplier or manufacturing time, transit, and receiving or inspection. Both the average lead time and its variability are critical inputs to safety-stock, reorder-point, and planning calculations, since longer or less predictable lead times require larger buffers. Reducing and stabilizing lead time is a core lever for lowering inventory while maintaining service.
How Lead Time Works in ERP
ERP systems store lead times per item, supplier, or routing and use them to backward-schedule purchase and production orders so materials arrive when needed. Lead time feeds reorder-point and safety-stock formulas and determines order release timing in MRP. Many systems can compute actual lead times from historical receipts to keep planning parameters realistic.
ERP Vendors with Strong Lead Time
Oracle NetSuite
The original cloud ERP — built for fast-growing companies
Infor M3
Process manufacturing ERP for food, chemicals, and pharma
Epicor Kinetic
ERP built for manufacturers — from job shop to enterprise
SAP S/4HANA Private Cloud
Fully customisable managed-cloud ERP for complex enterprises
Frequently Asked Questions
Why does lead-time variability matter as much as the average?
Safety-stock calculations depend heavily on how much lead time fluctuates, not just its mean. A long but highly predictable lead time can be planned for with little buffer, whereas a shorter but erratic one forces larger safety stock to protect service. Reducing variability often cuts required inventory more than reducing the average alone.
What components make up total lead time?
Lead time typically includes order processing and approval, supplier or manufacturing production time, transit or shipping time, and receiving and inspection. For purchased items, supplier and transit time usually dominate, while for manufactured items, queue and production time do. Breaking it into components helps identify where to compress it.