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The ABC analysis is a business term used to define an inventory categorization technique often used in materials management. It is also known as Selective Inventory Control. Policies based on ABC analysis: - A ITEMS: very tight control and accurate records
- B ITEMS: less tightly controlled and good records
- C ITEMS: simplest controls possible and minimal records
The ABC analysis provides a mechanism for identifying items that will have a significant impact on overall inventory cost, [1] while also providing a mechanism for identifying different categories of stock that will require different management and controls. The ABC analysis suggests that inventories of an organization are not of equal value. [2] Thus, the inventory is grouped into three categories (A, B, and C) in order of their estimated importance.
'A' items are very important for an organization. Because of the high value of these A items, frequent value analysis is required. In addition to that, an organization needs to choose an appropriate order pattern (e.g. Just- in- time ) to avoid excess capacity. 'B' items are important, but of course less important, than A items and more important than C items. Therefore B items are intergroup items. 'C' items are marginally important. [3] ABC analysis categories There are no fixed threshold for each class, different proportion can be applied based on objective and criteria. ABC Analysis is similar to the Pareto principle in that the 'A' items will typically account for a large proportion of the overall value but a small percentage of number of items.[4] Example of ABC class are - A items 20% of the items accounts for 70% of the annual consumption value of the items.
- B items - 30% of the items accounts for 25% of the annual consumption value of the items.
- C items - 50% of the items accounts for 5% of the annual consumption value of the items.[5]
Another recommended breakdown of ABC classes[6]: - "A" approximately 10% of items or 66.6% of value
- "B" approximately 20% of items or 23.3% of value
- "C" approximately 70% of items or 10.1% of value
ABC Analysis in ERP package Major ERP packages (SAP, Oracle, Microsoft, etc.) have built in function of ABC analysis. User can execute ABC analysis based on user defined criteria and system apply ABC code to items (parts). See detail at external link. Example of the Application of Weighed Operation based on ABC class Actual distribution of ABC class in the electronics manufacturing company with 4051 active parts. total number of items 4051 Distribution of ABC class | ABC class | Number of items | Total amount required | | A | 5 | 70 | | B | 10 | 15 | | C | 85 | 15 | | Total | 100 | 100 | Using this distribution of ABC class and change total number of the parts to 4000. When you apply equal purchasing policy to all 4000 components, example weekly delivery and re-order point (safety stock) of 2 week supply assuming that there are no lot size constraints, the factory will have 16000 delivery in 4 weeks and average inventory will be 2.5 week supply. Application of Weighed Purchasing condition | Uniform condition | Weighed condition | | Items | Conditions | Items | Conditions | | All items 4000 | Re-order point=2 week supply Delivery frequency=weekly | A-class items 200 | Re-order point=1 week supply Delivery frequency=weekly | | B-class items 400 | Re-order point=2 week supply Delivery frequency=bi-weekly | | C-class items 3400 | Re-order point=3 week supply Delivery frequency=every 4 weeks | In comparison, when weighed purchasing policy applied based on ABC class, example C class monthly (every 4 week) delivery with re-order point of 3 week supply, B class Bi-weekly delivery with re-order point of 2 weeks supply, A class weekly delivery with re-order point of 1 week supply, total number of delivery in 4 weeks will be (A 200x4=800)+(B 400x2=800)+(C 3400x1=3400)=5000 and average inventory will be (A 75%x1.5weeks)+(B 15%x3weeks)+(C 10%x3.5weeks)=1.925 week supply. Comparison of "Equal" and "Weighed" Purchase (4 weeks span) | ABC class | No of items | % of total value | Equal purchase | Weighed purchase | note | | No of delivery in 4 weeks | average supply level | No of delivery in 4 weeks | average supply level | | A | 200 | 75% | 800 | 2.5 weeks | 800 | 1.5 weeksa | same delivery frequency, safety stock reduced from 2.5 to 1.5 weeksa, require tighter control with more man hours. | | B | 400 | 15% | 1600 | 2.5 weeks | 800 | 3 weeks | increased safety stock level by 20%, delivery frequency reduced to half. Less man hour required. | | C | 3400 | 10% | 13600 | 2.5 weeks | 3400 | 3.5 weeks | increased safety stock from 2.5 to 3.5 week supply, delivery frequency is one quarter. Drastically reduced man hour requirement. | | Total | 4000 | 100% | 16000 | 2.5 weeks | 5000 | 1.925 weeks | average inventory value reduced by 23%, delivery frequency reduced by 69%. Overall reduction of man hour requirement | a) A class item can be applied much tighter control like JIT daily delivery. If daily delivery with one day stock is applied, delivery frequency will be 4000 and average inventory level of A class item will be 1.5 days supply and total inventory level will be 1.025 week supply. reduction of inventory by 59%. Total delivery frequency also reduced to half from 16000 to 8200. By applying weighed control based on ABC classification, required man-hours and inventory level are drastically reduced. References See also External links ar: be-x-old:ABC- de:ABC-Analyse es:An lisis ABC eu:ABC analisi fr:Analyse ABC hi:ABC it:Analisi ABC ja:ABC pl:Klasyfikacja ABC pt:Curva ABC ru:ABC- fi:ABC-analyysi ta: . . uk:ABC- zh:ABC
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