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The economic production quantity model (also known as the EPQ model) determines the quantity a company or retailer should order to minimize the total inventory costs by balancing the inventory
holding cost In marketing, carrying cost, carrying cost of inventory or holding cost refers to the total cost of holding inventory. This includes warehousing costs such as rent, utilities and salaries, financial costs such as opportunity cost, and inventory co ...
and average fixed ordering cost. The EPQ model was developed by E.W. Taft in 1918. This method is an extension of the
economic order quantity Economic Order Quantity (EOQ), also known as Economic Buying Quantity (EPQ), is the order quantity that minimizes the total holding costs and ordering costs in inventory management. It is one of the oldest classical production scheduling models. ...
model (also known as the EOQ model). The difference between these two methods is that the EPQ model assumes the company will produce its own quantity or the parts are going to be shipped to the company while they are being produced, therefore the orders are available or received in an incremental manner while the products are being produced. While the EOQ model assumes the order quantity arrives complete and immediately after ordering, meaning that the parts are produced by another company and are ready to be shipped when the order is placed. In some literature, "economic manufacturing quantity" model (EMQ) is used for "economic production quantity" model (EPQ). Similar to the EOQ model, EPQ is a single product lot scheduling method. A multiproduct extension to these models is called ''product cycling problem''.


Overview

EPQ only applies where the demand for a product is constant over the year and that each new order is delivered/produced incrementally when the inventory reaches zero. There is a fixed cost charged for each order placed, regardless of the number of units ordered. There is also a holding or storage cost for each unit held in storage (sometimes expressed as a percentage of the purchase cost of the item). We want to determine the optimal number of units of the product to order so that we minimize the total cost associated with the purchase, delivery and storage of the product The required parameters to the solution are the total demand for the year, the purchase cost for each item, the fixed cost to place the order and the storage cost for each item per year. Note that the number of times an order is placed will also affect the total cost, however, this number can be determined from the other parameters


Assumptions

# Demand for items from inventory is continuous and at a constant rate # Production runs to replenish inventory are made at regular intervals # During a production run, the production of items is continuous and at a constant rate # Production set-up/ordering cost is fixed (independent of quantity produced) # The lead time is fixed # The purchase price of the item is constant, i.e. no discount is available # The replenishment is made incrementally


Variables

* K = ordering/setup cost per production run * D = yearly demand rate * h = yearly holding cost per product * t = cycle length * P = yearly production rate * x = \frac * Q = order quantity * S = success by the method.


Total cost function and derivation of EPQ formula

* Holding Cost per Year = \frac h(1-x) Where \frac is the average inventory level, and h(1-x) is the average holding cost. Therefore, multiplying these two results in the holding cost per year. * Ordering Cost per Year = \frac K Where \frac are the orders placed in a year, multiplied by K results in the ordering cost per year. We can notice from the equations above that the total ordering cost decreases as the production quantity increases. Inversely, the total holding cost increases as the production quantity increases. Therefore, in order to get the optimal production quantity we need to set holding cost per year equal to ordering cost per year and solve for quantity (Q), which is the EPQ formula mentioned below. Ordering this quantity will result in the lowest total inventory cost per year.


Relevant formulas

*Average holding cost per unit time: :\frac hD(1-x)t *Average ordering and holding cost as a function of time: :x(t) = \frac hD(1-x)t+ \frac {t}


See also

*
Reorder point The reorder point (ROP) is the level of inventory which triggers an action to replenish that particular inventory stock. It is a minimum amount of an item which a firm holds in stock, such that, when stock falls to this amount, the item must be re ...
*
Safety stock Safety stock is a term used by logisticians to describe a level of extra stock that is maintained to mitigate risk of stockouts (shortfall in raw material or packaging) caused by uncertainties in supply and demand. Adequate safety stock levels pe ...
* Infinite fill rate for the part being produced:
Economic order quantity Economic Order Quantity (EOQ), also known as Economic Buying Quantity (EPQ), is the order quantity that minimizes the total holding costs and ordering costs in inventory management. It is one of the oldest classical production scheduling models. ...
* Demand is random, continuous replenishment: Base stock model * Demand varies over time:
Dynamic lot size model The dynamic lot-size model in inventory theory, is a generalization of the economic order quantity model that takes into account that demand for the product varies over time. The model was introduced by Harvey M. Wagner and Thomson M. Whitin in ...
* Several products produced on the same machine:
Economic lot scheduling problem The economic lot scheduling problem (ELSP) is a problem in operations management and inventory theory that has been studied by many researchers for more than 50 years. The term was first used in 1958 by professor Jack D. Rogers of Berkeley, who e ...


References

* Taft, E. W. "The most economical production lot." Iron Age 101.18 (1918): 1410-1412. * Gallego, G. "IEOR4000: Production Management" (Lecture 2), Columbia (2004)

* Stevenson, W. J. "Operations Management" PowerPoint slide 19, The McGraw-Hill Companies (2005)

* Kroeger, D. R. "Determining Economic Production in a Continuous Process" IIE Process Industries Webinar, IIE (2009)

* Cárdenas-Barrón, L. E. "The Economic Production Quantity derived Algebraically" International Journal of Production Economics, Volume 77, Issue 1, (2002). * Blumenfeld, D. "Inventory" Operations Research Calculations Handbook, Florida (2001) *Harris, F.W. "How Many Parts To Make At Once" Factory, The Magazine of Management, 10(2), 135-136, 152 (1913). Inventory optimization