(J.I. Camino and A. Fernández-Novel)
Inventory Classification: The ABC Analysis
This type of analysis considers that there is a range of items that have different levels of significance and should be handled or controlled differently. According to the Pareto Principle, in which is based, roughly 80% of the effects come from 20% of the causes. Then, in economic terms, it means that there are items (such as activities, customers, documents, inventory items, sales territories) with different value per unit. Then, items are grouped into three categories (A, B, and C) in order of their estimated importance. ‘A’ items are very important, ‘B’ items are important, ‘C’ items are marginally important.
The importance of the different goods is constructed by considering its annual demand and cost per unit. Then, a list can be created, in which the goods are divided usually as follows:
- Class A: 15% of total inventory, but 70% of dollar usage.
- Class B: 30% of total inventory, but 25% of dollar usage
- Class C: 55% of total inventory, but 5% of dollar usage
Record accuracy: The Cycle Counting Method
Goods inventory policies have no importance as long as management does not know what inventory belongs to the company. Once that information has been gathered, it is possible to order, schedule and ship goods in an efficient way, understanding the needs of the company and which goods are crucial.
In order to do so, there is a new method for checking the inventories without a great impact on the correct running of the company: The Cycle Counting method. It is based on counting a small subset of inventory, in a specific location, on a specified day. Cycle counts contrast with traditional physical inventory in that a full physical inventory may stop operation at a facility while all items are counted at one time. Cycle counts are less disruptive to daily operations, provide an ongoing measure of inventory accuracy and procedure execution, and can be tailored to focus on items with higher value, higher movement volume, or that are critical to business processes
In this method, goods are differentiated again according to the Pareto Analysis, so the ABC Method must have been performed before proceeding to its usage. Once the different goods have been classified, managers must create a schedule focused on the frequency in which goods are going to be checked. Despite the fact that every single company has its own schedule, it can be considered that “A” goods are going to be counted more frequently, and “C” goods are going to be counted less frequently than “B”.
INVENTORY MODELS
Basic Economic Order Quantity Model (EOQ)
This inventory model is based on the minimization of both holding costs and purchasing costs. Order costs decrease as many goods as the company purchases, due to economies of scale; on the other hand, holding costs increase, because it gets more expensive to control and maintain the stocked goods. Then, in order to minimize total costs, it is important to find the point in which the total cost, which involves both, is lower.
This model is based on the following assumptions:
- Demand for an item is known, constant and independent from other items (d).
- Lead time (L) is known and consistent
- Receipt of inventory instantaneous and complete
- Quantity discounts not possible
- The only variable costs are the ones previously explained
- Shortages can be completely avoided
Once that point (Q) has been found, and the manager knows how many to order, the model continues by answering the next question: when to order.
In order to understand it, it is important to understand two concepts: the Lead Time and the Reorder Point.
- Lead Time is the amount of time between placing an order and receiving it; in production systems, it is the wait, move, queue, setup and run times for each component produced.
- Reorder Point is the inventory level at which action is taken to replenish the stocked item.
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