ABC Analysis for Inventory Management Essay Example
ABC Analysis for Inventory Management Essay Example

ABC Analysis for Inventory Management Essay Example

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  • Pages: 4 (1072 words)
  • Published: October 15, 2017
  • Type: Analysis
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The ABC analysis is a method used in supply chain management to classify inventory into three groups: A, B, and C. A-items are the most valuable items, while C-items are the least valuable. The goal of this method is to prioritize the attention of managers on the critical few (A-items) rather than the insignificant many (C-items). Cost control in the supply chain relies on optimizing inventory. To make management efforts more effective, focus should be on items that cost the most to the business. According to the Pareto rule, 80% of consumption value comes from just 20% of total items, indicating that demand is not evenly distributed among all products; top sellers significantly outperform others.

When reviewing inventory using the ABC approach, companies should categorize items from A to C based on specific criteria:
- A-items have high annual consump

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tion value (typically accounting for 70-80% of overall consumption value but only 10-20% of total stock items).
- C-items have low consumption value but make up a significant portion (50%) of total stock items.
- B-items fall between A and C in terms of consumption value.

Around 15-25% (equivalent to about 30% of all items) are represented by one-year ingestion value, which is determined by multiplying annual demand by cost per unit. The supply director can use this classification process to differentiate stock list spots from other items, particularly those that are numerous but not highly profitable.The process for categorizing items into A, B, and C classes involves the following steps: 1) Determine the unit cost and usage of each material during a specific period. 2) Multiply the unit cost by the estimated one-year usage to calculate the net value. 3

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Arrange all items in descending order of value (Annual Value). 4) Calculate the total value and number of items to determine the percentage of total stock list in both value and number. 5) Plot a curve that displays the percentage of items and value. 6) Utilize the curve to identify rational bounds for A, B, and C classes.

An exemplification from eCommerce demonstrates this concept. The provided graph showcases annual sales distribution for a US-based eCommerce site in 2011. The data includes all products sold at least once and is ranked based on sales volume. Out of a total of 17,000 references, the top 2,500 products (15% of total items) generate 70% of sales. The subsequent 4,000 products (25% of total items) contribute to 20% of sales. The remaining bottom merchandise consists of10,500 products (60% of all merchandise), accounting for only10%of overall revenue.

Inventory management policies that follow ABC analysis take into account sales fluctuations as outlined bythe Pareto principle. Each item in inventory should be treated differently based on its category.A-items necessitate tight inventory control, secure storage areas, and accurate sales forecasts.Reorders for A-items should occur frequently to avoid stock-outs.C-items are reordered less often with a typical policy that maintains only one unit in stock until a purchase is made before reordering occurs.This approach, which may result in stock-out situations after each purchase, is deemed acceptable due to low demand and the risk of excessive inventory costs. The question arises for C-items as to whether they should be kept in store at all. B-items fall between A and C categories and require monitoring for potential movement towards either category. The division into A, B, and C

categories represents the Pareto principle. Sales volume alone does not determine an item's importance; margin and the impact of a stock-out on client concerns also play a role in determining the stock list strategy. The consequences of an ABC Analysis extend to various other inventory control and management procedures: 1. Carrying degrees review - Similar to investments, past results do not guarantee future performance. This text emphasizes the significance of managing "A" items more aggressively in terms of inventory levels and investment. It suggests reviewing inactive items for obsolescence, starting from the bottom of the "C" category. Additionally, it recommends conducting cycle counting more frequently for higher priority items to minimize inventory errors. The text stresses focusing on "A" items for potential shipment or vendor carrying due to their impact on investment. It provides information on identifying candidates with high inventory turnover ratios and associated goals. Furthermore, it mentions that ABC categorization can classify inventory data and set different targets for each category.
The text emphasizes the importance of the inventory turnover ratio in periodic reviews. To effectively utilize ABC categorizations, it is necessary to conduct the analysis at least once a year or more frequently if needed. Another technique mentioned is High, Medium, Low (HML) categorization which classifies items based on unit value instead of annual consumption value like ABC categorization. Management lists the items in descending order based on unit value and defines three categories: H (unit value of Rs.2000 and above), M (Rs.1000 to 2000), and L (less than Rs.1000). The HML analysis is a beneficial tool for controlling departmental consumption, frequency of physical verification, and purchase control. Unlike the ABC categorization that

takes into account consumption value, the HML analysis classifies stock lists based on their unit value.

The VED analysis is used to determine the criticality of stock lists by categorizing them as critical, essential or desirable. This assessment helps determine how an item impacts production and other services, especially in terms of spare part classification. Critical parts are given V categorization while essential parts receive E categorization and less essential parts are categorized as D items. Typically, a large stock is maintained for V items while minimal stock suffices for D items.

The SDE analysis determines item availability and is particularly useful when supply is scarce in certain situations.The SDE categorization system classifies scarce imported items as S, domestically available but hard-to-secure items as D, and easily obtainable items found in local markets as E. It is important to conduct lead time analysis and make informed purchasing decisions based on the jobs encountered in procurement.

FSN Analysis involves categorizing items as fast-moving, slow-moving, or non-moving based on their sales patterns at stores. This type of analysis is useful for managing obsolescence. To perform an FSN analysis, the date of receipt or the last day of the month of issue is used to determine the number of months that have passed since the last transaction.

FSN analysis is useful for categorizing items based on their activity level and determining whether they need to be regularly reviewed or examined further. These items are usually organized into 12-month periods. Additionally, non-moving items can also be evaluated for potential disposal.

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