EOQ Calculator with Steps

What is Economic Order Quantity (EOQ)?

Economic Order Quantity (EOQ) is a fundamental formula used in supply chain and inventory management to determine the ideal order volume a company should purchase to minimize its total costs. These costs primarily include holding costs (storage, insurance, and depreciation) and ordering costs (setup, shipping, and handling).

The primary goal of using an EOQ calculator is to find the "sweet spot" where you aren't overstocking (which leads to high storage fees) and you aren't understocking (which leads to frequent order fees and potential stockouts).

The EOQ Formula Explained

Our calculator uses the standard Wilson Formula for EOQ:

EOQ = √ (2DS / H)

  • D (Annual Demand): The total quantity of units your business sells or uses over one year.
  • S (Ordering Cost): The fixed cost incurred every time you place an order with a supplier.
  • H (Holding Cost): The cost to store one unit of inventory for one year. This is often calculated as the unit price multiplied by a percentage rate (carrying cost).

How to Use This Calculator

To get the most accurate results, ensure your inputs are consistent. If your demand is monthly, multiply it by 12 to get the annual figure. Simply enter the Annual Demand, the Cost per Order, and the Holding Cost per Unit. Our tool will instantly generate the result and show you the exact mathematical steps taken to arrive at the solution.

FAQs

Why is EOQ important?

It helps businesses maximize profitability by reducing idle inventory and minimizing transaction costs. It provides a data-driven approach to procurement rather than relying on guesswork.

Does EOQ account for bulk discounts?

The basic EOQ model assumes a constant price per unit. However, many managers use the EOQ result as a baseline before negotiating quantity discounts with suppliers.

What are the limitations of EOQ?

EOQ assumes demand and lead times are constant, which may not always be true in volatile markets. It also doesn't account for seasonal fluctuations unless the data is adjusted beforehand.