Running low on stock is usually predictable. Problems fulfilling customer orders often come from ordering too late: a purchase order (PO) is raised only when stock is nearly gone, while shipping and purchasing take several days. A reorder point sets the right moment to place that order. This article covers the formula, worked examples, and the role of the reorder point in supply chain management.
In short, a reorder point (ROP) is the stock level that triggers a replenishment order, the point at which remaining goods are expected to cover demand only for as long as the new order takes to process and arrive. The ROP is calculated from average demand over the replenishment lead time plus safety stock, which makes it a product of consumption and supply data rather than guesswork.
The reorder point formula comes in two forms: with and without safety stock. Both use the same variables; the only difference is the added buffer. Which one to use depends on how stable demand and supply times are. If both are stable, the basic formula is enough. If either fluctuates, use the version with safety stock.
|
Basic |
ROP = Average Daily Demand × Replenishment Lead Time |
Demand and lead time relatively stable, consequences of a stockout mild |
|
With buffer |
ROP = (Average Daily Demand × Replenishment Lead Time) + Safety Stock |
Demand fluctuates or the supplier is not always on time |
What tends to get overlooked is not the formula but the choice of lead time. According to SAP Learning, replenishment lead time for externally procured materials consists of three components: planned delivery time, goods receipt processing time, and purchasing processing time.
The consequence is clear: an ROP calculated on shipping time alone will always be too low, because PO approval and goods inspection also take time. Safety stock is added as a separate component in the calculation.
ROP calculation errors in practice usually come from mismatched units rather than the formula. Demand is recorded monthly while lead time is measured in days, and the two are multiplied without converting. The examples below show both a correct calculation and one with mismatched units.
As an illustration (using simulated figures, not actual data): a spare parts distributor has average demand of 40 units per day, a replenishment lead time of 12 days, and an established safety stock of 90 units .
The gap is 90 units, exactly the size of the buffer. Safety stock does not change the logic of the ROP; it simply raises the trigger point.
Once recorded stock hits 570 units, the PO goes out, rather than waiting until shelves in the warehouse start looking bare.
Here is an example of getting it wrong. If demand is recorded as 1,200 units per month and multiplied directly by 12 days, the result is 14,400 units, or 30 times the correct figure (480 units). Convert first: 1,200 ÷ 30 = 40 units per day. The rule is simple: demand and lead time must use consistent units.
Worth noting: an accurate ROP still fails if stock records are inaccurate, because the system triggers a PO from data, not from what is physically on the shelf. Discipline in warehouse management is the precondition for a reliable order trigger.
Reorder point and EOQ (Economic Order Quantity) are often treated as the same thing, yet they answer different questions and do not substitute for each other. ROP determines when to order and produces a stock level. EOQ determines how much to order and produces a quantity per order. They also draw on different inputs.
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Question answered |
When to order? |
How much to order? |
|
Unit of the result |
Stock level (units that trigger a PO) |
Order quantity (units per PO) |
|
Main inputs |
Average daily demand, replenishment lead time, safety stock |
Periodic demand, ordering cost, holding cost |
|
If set wrong |
Too low → stockout; too high → stock sits idle |
Too small → ordering too often; too large → holding costs rise |
The two work together: ROP sets the timing of an order, EOQ sets its size.
A reorder point is not a fixed number. It stops being relevant once average demand rises or lead time stretches, and those shifts often go unnoticed. In practice, an ROP misses not because the formula is wrong but because the value is rarely revisited.
In an ERP (Enterprise Resource Planning) system, the ROP is maintained as a parameter on the material masterrather than in a spreadsheet. SAP Learning describes two modes: under manual reorder point planning , the ROP and safety stock are entered by hand; in automatic mode, the system recalculates both at every forecast run, using the service level on the material master as an input to the safety stock calculation.
The order trigger is equally clear: procurement is initiated once stock plus scheduled receipts falls below the ROP, following the mechanism described in the SAP documentation for the previous ERP generation. For inventory planning across products and locations, companies generally use SAP Integrated Business Planning (SAP IBP).
Safety stock is a reserve quantity; a reorder point is the level that triggers an order. Safety stock is one component of the ROP formula. In the illustration used here, a 90-unit buffer lifts the trigger point from 480 to 570 units.
The terms are often used interchangeably, but they differ. Minimum stock is usually just a figure set by habit, whereas an ROP has a clear calculation: average demand over the replenishment lead time plus safety stock. For example, 40 units per day over 12 days plus 90 units gives 570 units.
Review the ROP whenever average demand or lead time changes, not just once a year. Under automatic reorder point planning, SAP documentation notes that the system recalculates the ROP and safety stock at every forecast run, using the service level on the material master.
A reorder point ultimately comes down to more than a formula. It rests on two decisions: which lead time is measured accurately, and how often the value is reviewed. Soltius, an SAP Platinum Partner through its United VARs membership and active since 1998, implements and supports SAP supply chain planning solutions such as SAP IBP for manufacturing and distribution companies.
To discuss inventory planning and SAP IBP adoption at your company, visit soltius.co.id.