The advantage of the EOQ formula is that it provides a baseline for getting the best deal. It helps you purchase what you're going to use and keeps you from overpurchasing to get 'deals' from vendors.
The disadvantages are very obvious if you've got a high periodicity or seasonality to your consumption, or your usage is very minimal. EOQ should only be applied to higher volume items that are worth inventorying; it's much safer to use VMI (Vendor Managed Inventory) for items like bolts and screws that have a high volume and aren't worth inventorying. For instance, I would never use EOQ to order screws or bolts unless they were particularily expensive and individually inventoried. I wouldn't use EOQ to order memory chips for a retail computer store, because demand can vary greatly and the risk that they'll become obsolete is high. However, I would use EOQ to order steel L-brackets for an industrial production facility where production is consistent and/or forecast
"what are the benefit of using EOQ?"
"what are the benefit of using EOQ?"
i think the most disadvantage is, the demand rate (landa) should be known and constant which is apply when in contractor project or used with forecast demand with some error in the demand.in other words EOQ is not applicable when demand is not constant.there another one answers this inWhat_are_the_advantages_and_disadvantages_of_the_EOQ_model
apa perbedaan antara EOQ DAN MRP
what is the difference between Re oreder level and EOQ
eoq =economic ordering cost is constant
Hello, I have a blog with information on reorder dates. I have a few posts that discuss EOQ. This is my post from Feb 28th, 2008(http://excelevolution.wordpress.com/2008/02/28/eoq-economic-order-quantity/) I hope this information will be somewhat useful to you. The EOQ (Economic Order Quantity) is the most cost effective amount to order each time stock needs to be replenished. EOQ is, for all intents and purposes, an accounting formula that determines the point at which the combination of order costs and inventory carrying costs are the least. In purchase-to-stock scenarios, this is known as the order quantity and in make-to-stock manufacturing situations, known as the production lot size. While the EOQ may not be relevant in every inventory situation, most companies will find it beneficial in at least some aspect of their operation. The optimal EOQ result in this table does not affect the EOQ section in the main part of the algorithm and may benefit from some adjustment. The rationale for this is that the optimal EOQ is just the mathematical figure. Please read the EOQ notes at the base of the algorithm to get an idea of how the optimal EOQ can be further refined by taking into account other factors. Once established, this 'corrected' figure can be put into the 'Number of pallets (units) per container (EOQ)' section. The EOQ notes are as follows: *The optimal EOQ will be further refined by taking into account the following factors: If the number of units is too large, these issues may arise: Additional storage space requirements, financial outlay may be too high, risk of spoilage, risk of obsolescence, lost opportunities with invested capital, higher insurance costs & more inventory available to be stolen & damaged. If the number of units is too small, these issues may arise: Inability to benefit greatly from current pricing, quantity discounts may not be offered, more risk of damage whilst in transit if not full multiples, shipping & receiving costs per unit may be higher. Cheers, Peter Phillips
The assumptions included in the EOQ models are simplistic;The real cost of stock in operations are not as assumed in EOQ models;The models are really descriptive and should not be used as prescriptive devices.
Lead time is the time it takes for an order to be delivered once it is placed, while Economic Order Quantity (EOQ) is the optimal order quantity that minimizes total inventory costs. Lead time influences the reorder point in EOQ calculations – a longer lead time may require a higher reorder point to avoid stockouts. It is important to consider lead time variability and safety stock when calculating EOQ to ensure continuous supply chain operations.
Many firms abandoned the EOQ (Economic Order Quantity) model for Just-in-Time (JIT) due to the need for more flexibility and responsiveness in their production processes. JIT allows for production to be aligned more closely with customer demand, reduces inventory holding costs, and improves overall efficiency by eliminating waste and improving flow throughout the production process.
ABC analysis classifies items based on their importance, while EOQ (Economic Order Quantity) method calculates the optimal order quantity to minimize total inventory costs. ABC analysis helps prioritize items for inventory management, whereas EOQ helps determine the quantity of each item to order to balance holding and ordering costs efficiently.
The primary variables being balanced in the EOQ model are carrying costs and ordering costs. The more frequent orders are placed the lower the firm's carrying costs and the higher its ordering costs.