Smart Inventory Solutions. Phillip Slater

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tie up money or, worse, spend money on items that might never be used. This type of error is rarely addressed because it does not automatically trigger any action. However, if you underestimate your ROQ — and assuming that your ROP is appropriately set — then you will only end up ordering more frequently and this can trigger the need for a review. You can then set the ROQ at a more appropriate level. The effect of different order costs is shown below.

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      1. Assume that:

      Order Cost = $100

      Demand = 1,000 per year

      Item Cost = $10

      Holding Cost = 25%

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      = 283

      Therefore, the ‘economic’ ROQ is 283 items.

      This means that this item will be ordered, on average, 3.5

      times per year (1,000 per year/ 283 per order).

      2.Let’s look at the impact of changing the Order Cost. Assume that:

      Order Cost = $50

      Demand = 1,000 per year

      Item Cost = $10

      Holding Cost = 25%

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      = 200

      Therefore, if the order cost is really $50 per order the ‘economic’ ROQ is only 200 items – approximately 30% lower than if the order cost is $100. This means that this item will be ordered five times per year (1,000 per year/ 200 per order).

      Monte Carlo simulation is a complex analytical technique that uses random numbers as input variables and applies them to a known function (or formula). It is reportedly named after the random inputs that occur in table games, such as roulette, at the casinos in Monte Carlo.

      With inventory analysis, it removes the constraint of having to make assumptions about the frequency or level of demand as these would be randomly generated values. When used in a computerized simulation, the technique can run through a high number of cycles to demonstrate under which scenarios supply would not be available. From this perspective, it appears to be an attractive option for inventory review and is widely used in the academic analysis of inventory management.

      The technique does, however, suffer from the same shortfall in practice that limits most analytical approaches — it does not easily enable consideration of the entire materials and spares inventory management process. Instead, it focuses solely on the mathematical evaluation of the ROP and ROQ settings.

      There are a number of measures that get used for tracking inventory performance. One of the most popular measures is stockouts. A stockout occurs when there is demand for an inventory item but there is no stock.

      It is essential to measure the availability of stock. After all, that is why the investment is made in the first place. However, measuring stockouts can be a limiting way to measure inventory as it only measures one dimension of inventory, that is, availability. This approach is limiting because one way to ensure a low number of stockouts is to overinvest in inventory so that stock is always available no matter what. This is sometimes referred to as ‘just in case’ inventory.

       What Is a ‘Stock Turn’?

      Because inventory requires a significant financial investment and that investment involves significant ongoing costs, it is also important to measure the financial performance. Tracking the value of inventory is important for cash management purposes. However, an additional financial measure that often gets overlooked is the stock turn ratio.

      The stock turn is calculated by dividing the annual usage of the inventory (in dollars) by the value of the inventory held (also in dollars).

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      For example, if a company holds $5M worth of inventory and issues $2.5M worth of that inventory in a year, the stock turn ratio is 2.5/5.0 = 0.5. That is, the company turns over its inventory at the rate of one half per year. Obviously, the higher the stock turn ratio, the better.

       What Stock Turns Tell You

      Stock turns measures the efficiency of the inventory investment by telling you whether you have overinvested in inventory and whether you have the right mix of inventory. (Note, however, that it won’t tell you about specific inventory items.) For example, if the number of stockouts is low (which is good) and the stock turn ratio is also low (which is bad), you have an indicator that there may be an overinvestment in inventory. If the number of stockouts is high (which is bad) and the stock turn ratio is low (which is also bad), then you may have invested in the wrong inventory. That is, your money is tied up in stock that doesn’t turn over and you hold too little of the stock that is in demand.

       Stock Turn Targets

      An appropriate target for stock turns in your business will be influenced by a range of issues, some within your control and others outside of your control. For example, if you have spares that are imported from somewhere far away or you are in a remote and isolated area, then you are likely to hold more safety stock and, therefore, have a lower stock turn. Conversely, if you are located in a densely-populated area surrounded by similar industry and many suppliers, you should be able to achieve a high stock turn. But this isn’t the whole story because if your processes don’t adequately control decision making on materials and spares inventory stocking, you are also likely have a low stock turn.

       Using Stock Turns as a Key Measure

      The key thing to remember when using a stock turn ratio is that it must be applied across the entire inventory. You cannot ‘cherry pick’ elements of inventory. The reason for this is that some inventory items will naturally have a high turnover and some will be low. The aim of the ratio is to measure the overall efficiency of the inventory investment.

      In one recent case, an inventory manager tried to justify the size of his inventory by pointing out that one section of inventory had a stock turn of 5 (very good in his circumstance) and that another section had a stock turn of 0.2 (very bad). The justification was that insurance spares caused the low stock turn and, therefore, nothing further could be done. This analysis, however, ignored a large component of inventory that could be managed down and it ignored the possibility of consignment stock for the fast movers.

      As mentioned above, stock turns is also a great measure to use when you have multiple sites or locations within the one company. As an internal benchmark, stock turns readily shows which sites have better control over their inventory.

      Stock turns is an essential measure of inventory performance because it measures the inventory efficiency.

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