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Oracle EBS Min-Max Planning Quantity Calculator

Oracle Inventory min-max planning compares projected stock with a minimum and maximum quantity on the item and suggests replenishment. Choosing those two numbers well is the work. This calculator derives them from demand, lead time, variability and cost.

Your numbers

units

Forecast or last 12 months usage.

days
14 days
units

Measured from daily or weekly usage history.

%

Your results

Minimum quantity (reorder point)
746
Order when projected stock reaches this level.
Maximum quantity
1,373
Order up to this level.
Average daily demand
48
Z score
1.6449
Safety stock
74
Buffer against demand variation during lead time.
Economic order quantity
627
Orders per year
19.1485

Planning aid only. Assumes normally distributed daily demand and a fixed lead time. Test the result against your real usage history before loading values into item attributes.

Save results:

Min and max quantity vs lead time

Sweeps Replenishment lead time from 1 to 60, holding your other inputs fixed.

Recalculate min-max from your EBS history

Optional expert review of automating replenishment parameters from real transaction data.

Optional. The tool and every export work without this. No spam.

How to use the calculator

Enter annual demand, working days, replenishment lead time and the variability of daily demand. Select the service level you want and add unit cost, order cost and carrying cost. The result shows the minimum quantity (the reorder point), the maximum quantity and the underlying safety stock and order quantity. Use the chart to see how the quantities change as lead time moves, which helps when negotiating with suppliers.

  • Use the same unit of measure as the item's primary UOM
  • Measure variability from real history, not estimates
  • Re-run when lead times or demand change materially

The formulas

Safety stock is the Z score for the service level times the standard deviation of daily demand times the square root of lead time in days. The minimum is average daily demand times lead time plus safety stock. Economic order quantity is the square root of two times annual demand times order cost divided by unit cost times the carrying rate. The maximum is the minimum plus the order quantity, so a replenishment brings stock back up to the maximum.

Worked example

With the defaults, daily demand is 48 units. At 95 percent service, Z is about 1.645, giving safety stock of about 74 units over 14 days. The minimum is about 746. The EOQ is about 889, so the maximum is about 1,635, with roughly 13 orders per year. If the supplier lead time doubles, safety stock grows by about 41 percent, not double, because variation scales with the square root of time.

Using the result in Oracle

Min-max quantities are stored as item attributes in the inventory organization, along with the fixed lot multiplier and minimum order quantity if you use them. Apply results to a pilot group first, review the replenishment suggestions for a few cycles, and adjust. Items with lumpy demand, long lead times or supplier constraints may suit MRP or kanban better than min-max.

Frequently Asked Questions

Is min-max the same as reorder point?

The minimum quantity acts as the reorder point, and the maximum is the order-up-to level. The difference is that Oracle compares projected availability, including open supply and demand, with these values.

What service level should I choose?

Higher levels cost more safety stock. Many plants use 95 to 98 percent for regular items and higher for critical spares. Choose by cost of a stockout versus the cost of carrying the stock.

Why does the maximum include EOQ?

When stock falls to the minimum, an order of about one EOQ restores it, so the maximum is the minimum plus the order quantity. If your supplier has lot sizes, round up accordingly.

Does this suit slow movers?

For very slow items the normal assumption is weak. Use judgement, a Poisson-based approach, or a simple one-or-two-piece policy for expensive, rarely used parts.

If you want min and max values recalculated regularly from actual transaction history in your ERP, Netray can discuss a read-only analytics approach.