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Hello,

I have a blog with information on reorder dates. I have a few posts that discuss EOQ. EOQ actually works hand in hand with JIT.

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

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