Inventory can protect customer availability and keep production running. It can also tie up cash, hide defects and become obsolete before it is used.
The right question is what each inventory position is intended to protect and whether the policy achieves that purpose at an acceptable total cost.
Separate different reasons for stock
- Cycle stock supports replenishment in batches.
- Safety stock protects against relevant uncertainty.
- Pipeline stock exists while goods move through the network.
Other stock may support seasonality, critical spares or strategic continuity. Distinguish those deliberate positions from excess created by inaccurate records or uncontrolled ordering.
A hypothetical low-cost component can stop an entire assembly line. Its purchase value is small, but its operational criticality is high.
Use ABC analysis appropriately
ABC analysis commonly ranks items by annual usage value. It helps focus financial and management attention.
It does not, by itself, identify every item that deserves a high service level. Add criticality, lead time, substitution options and uncertainty.
Avoid treating class boundaries as natural laws. The classification should support a defined management response, such as counting frequency or replenishment review.
Understand what EOQ optimizes
The basic economic order quantity model balances ordering or setup cost against cycle-stock holding cost. Its familiar expression is the square root of two times annual demand times order cost, divided by annual holding cost per unit.
| Hypothetical item | Value |
|---|---|
| Annual demand | 10,000 units |
| Order cost | €50 per order |
| Holding cost | €2 per unit and year |
| Economic order quantity | about 707 units |
That answer depends on simplified assumptions, including steady demand, defined costs and no relevant quantity discount. It does not establish the appropriate safety stock or solve unreliable supply.
Keep replenishment quantity separate from timing
The order quantity answers how much to replenish. The reorder rule answers when to act.
Use expected demand during replenishment lead time and an appropriate protection against uncertainty. Account for the inventory position, including relevant open orders and commitments.
Check whether lead time is stable and whether the supplier can deliver the assumed quantity reliably. A mathematically tidy rule can fail if its inputs are systematically wrong.
Evaluate total consequences
Include capital, space, handling, damage, expiry, obsolescence and shortage consequences where relevant.
Larger batches can reduce order frequency while increasing exposure to engineering changes. Very small batches can increase transport and administrative effort if the replenishment system is not ready.
Improve the underlying drivers rather than treating stock as an isolated finance target.
Review policy through actual service
Track shortages, excess, inventory accuracy and customer outcomes alongside turnover or stock value. Segment the results by the purpose of the stock.
Choose one important item family and reconstruct recent replenishments. Compare actual demand, lead time and cost with the policy assumptions.
A good inventory system makes its tradeoffs visible. It protects the right service outcome while continually reducing the uncertainty and process weaknesses that create unnecessary stock.
Reference
Supply Chain Fundamentals: Economic Order Quantity (MIT Center for Transportation and Logistics)