The Economic Order Quantity (EOQ) is the number of units that a company should add to inventory with each order to minimize the total costs of inventory—such as holding costs, order costs, and shortage costs. The EOQ is used as part of a continuous review inventory system, in which the level of inventory is monitored at all times, and a fixed quantity is ordered each time the inventory level reaches a specific reorder point. The EOQ provides a model for calculating the appropriate reorder point and the optimal reorder quantity to ensure the instantaneous replenishment of inventory with no shortages. It can be a valuable tool for small business owners who need to make decisions about how much inventory to keep on hand, how many items to order each time, and how often to reorder to incur the lowest possible costs.
The EOQ model assumes that demand is constant, and that inventory is depleted at a fixed rate until it reaches zero. At that point, a specific number of items arrive to return the inventory to its beginning level. Since the model assumes instantaneous replenishment, there are no inventory shortages or associated costs. Therefore, the cost of inventory under the EOQ model involves a tradeoff between inventory holding costs (the cost of storage, as well as the cost of tying up capital in inventory rather than investing it or using it for other purposes) and order costs (any fees associated with placing orders, such as delivery charges). Ordering a large amount at one time will increase a small business's holding costs, while making more frequent orders of fewer items will reduce holding costs but increase order costs. The EOQ model finds the quantity that minimizes the sum of these costs.
The basic EOQ formula is as follows:
TC = PD + HQ/2 + SD/Q
where TC is the total inventory cost per year, PD is the inventory purchase cost per year (price P multiplied by demand D in units per year), H is the holding cost, Q is the order quantity, and S is the order cost (in dollars per order). Breaking down the elements of the formula further, the yearly holding cost of inventory is H multiplied by the average number of units in inventory. Since the model assumes that inventory is depleted at a constant rate, the average number of units is equal to Q/2. The total order cost per year is S multiplied by the number of orders per year, which is equal to the annual demand divided by the number of orders, or D/Q. Finally, PD is constant, regardless of the order quantity.
Taking these factors into consideration, solving for the optimal order quantity gives a formula of:
HQ/2 = SD/Q, or Q = the square root of 2DS/H.
The latter formula can be used to find the EOQ. For example, say that a painter uses 10 gallons of paint per day at $5 per gallon, and works 350 days per year. Under this scenario, the painter's annual paint consumption (or demand) is 3,500 gallons. Also assume that the painter incurs holding costs of $3 per gallon per year, and order costs of $15 per order. In this case, the painter's optimal order quantity can be found as follows: EOQ the square root of (2 3,500 15) /3 187 gallons. The number of orders is equal to D/Q, or 3,500 / 187. Thus the painter should order 187 gallons about 19 times per year, or every three weeks or so, in order to minimize his inventory costs.
The EOQ will sometimes change as a result of quantity discounts, which are provided by some suppliers as an incentive for customers to place larger orders. For example, a certain supplier may charge $20 per unit on orders of less than 100 units and only $18 per unit on orders over 100 units. To determine whether it makes sense to take advantage of a quantity discount when reordering inventory, a small business owner must compute the EOQ using the formula (Q the square root of 2DS/H), compute the total cost of inventory for the EOQ and for all price break points above it, and then select the order quantity that provides the minimum total cost.
For example, say that the painter can order 200 gallons or more for $4.75 per gallon, with all other factors in the computation remaining the same. He must compare the total costs of taking this approach to the total costs under the EOQ. Using the total cost formula outlined above, the painter would find TC PD HQ/2 SD/Q (5 3,500) (3 187)/2 + (15 3,500)/187 $18,062 for the EOQ. Ordering the higher quantity and receiving the price discount would yield a total cost of (4.75 3,500) (3 200)/2 (15 3,500)/200 $17,187. In other words, the painter can save $875 per year by taking advantage of the price break and making 17.5 orders per year of 200 units each.
Further Reading
Krupp, James A. "Measuring Inventory Management Performance." Production and Inventory Management Journal. Fall 1994.
Piasecki, Dave. "Optimizing Economic Order Quantity." IIE Solutions. January 2001.
Weiss, Howard J., and Mark E. Gershon. Production and Operations Management. Boston
Read more: http://www.answers.com/topic/economic-order-quantity#ixzz1Zk0T7Nh7
Read more: http://www.answers.com/topic/economic-order-quantity#ixzz1Zk0T7Nh7
An inventory-related equation that determines the optimum order quantity that a company should hold in its inventory given a set cost of production, demand rate and other variables. This is done to minimize variable inventory costs. The full equation is as follows:
where :
S = Setup costs
D = Demand rate
P = Production cost
I = Interest rate (considered an opportunity cost, so the risk-free rate can be used)
where :
S = Setup costs
D = Demand rate
P = Production cost
I = Interest rate (considered an opportunity cost, so the risk-free rate can be used)
Investopedia Says:
The EOQ formula can be modified to determine production levels or order interval lengths, and is used by large corporations around the world, especially those with large supply chains and high variable costs per unit of production.
Despite the equation's relative simplicity by today's standards, it is still a core algorithm in the software packages that are sold to the largest companies in the world.
The EOQ formula can be modified to determine production levels or order interval lengths, and is used by large corporations around the world, especially those with large supply chains and high variable costs per unit of production.
Despite the equation's relative simplicity by today's standards, it is still a core algorithm in the software packages that are sold to the largest companies in the world.
