Effective inventory management balances the cost of carrying stock against the risk of stock-outs. Practitioners use two foundational frameworks to optimize this balance: ABC Analysis (prioritization) and Economic Order Quantity (replenishment math).
Not all SKUs are created equal. ABC analysis categorizes inventory based on its annual consumption value (Unit Cost \timesAnnual Demand).
The EOQ formula determines the optimal order size that minimizes the sum of Ordering Costs (S) and Holding Costs (H).
Where:-D= Annual Demand (units). -S= Setup or Ordering Cost per order ($). -H= Holding or Carrying Cost per unit per year ($).
Consider a high-value sensor (Class A):
Calculation:
Insight: Ordering 500 units at a time ensures the warehouse isn't overstocked with expensive sensors while minimizing the number of purchase orders issued (20 orders/year).
Safety Stock (SS) is the buffer against demand variability during lead time:
-Z= Service level factor (e.g., 1.645 for 95% service).-\sigma_d= Std Dev of demand. -L = Lead time.
| Metric | Definition | Target |
|---|---|---|
| Inventory Turnover | COGS / Average Inventory | High (indicates efficiency) |
| Days Sales of Inv (DSI) | (Inventory / COGS) * 365 | Low (minimizes capital tie-up) |
| Fill Rate | % of orders fulfilled from stock | >98% for Class A |
| Stock-Out Rate | % of lost sales due to no stock | <1% for critical items |