Example 1Standard Retail Distribution Optimization
Given:Demand: 10,000, Order Cost: $100, Holding Cost: $2
Резултат:1,000 units per order
Ideal baseline for stable, high-volume retail goods.
In this scenario, a retail distributor with an annual demand of 10,000 units, an ordering cost of $100 per transaction, and an annual holding cost of $2 per unit calculates their optimal batch size. By running these metrics through the EOQ formula, the system outputs 1,000 units. This means the distributor should place exactly 10 orders per year to minimize their combined transactional and storage costs, keeping their working capital highly efficient.
Example 2High-Value Capital Components (Conservative Scenario)
Given:Demand: 1,200, Order Cost: $150, Holding Cost: $25
Резултат:120 units per order
Crucial for high-risk, expensive, or perishable inventory profiles.
This conservative analysis models a specialized equipment manufacturer dealing with high-value components. The annual demand is relatively low at 1,200 units, but holding costs are high at $25 per unit per year due to climate-controlled storage requirements and rapid technological obsolescence. With an ordering cost of $150, the EOQ is 120 units. This smaller, more frequent ordering cycle (10 times per year) prevents cash from being locked up in high-risk physical inventory.
Example 3Low-Cost Bulk Raw Materials (Optimistic Scenario)
Given:Demand: 50,000, Order Cost: $80, Holding Cost: $0.50
Резултат:4,000 units per order
Best suited for durable, low-cost commodity goods with low holding overhead.
Here we analyze a food packaging manufacturer requiring 50,000 units of a raw material annually. Because the material is highly durable and cheap to store, the holding cost is only $0.50 per unit annually, while setting up the production run or order costs $80. The EOQ calculator recommends a large batch size of 4,000 units. This reduces the ordering frequency to 12.5 times per year, leveraging cheap storage to avoid administrative purchasing overhead.