What is ABC analysis for Inventory Management?

Pareto chart of ABC classification of coagulation and hematology ... ABC analysis (Inventory)




ABC Analysis of Inventories


 ABC analysis is an inventory categorization method which consists in dividing items into three categories, A, B and C: A being the most valuable items, C being the least valuable ones. This method aims to draw managers’ attention on the critical few (A-items) and not on the trivial many (C-items).

It may also be clear with the help of the following examples:

“A” Category – 5% to 10% of the items represent 70% to 75%  of the money value.

“B” Category – 15% to 20% of the items represent 15% to 20%  of the money.

“C” Category – The remaining number of the items represent 5% to 10% of the money value.

The annual consumption value is calculated with the formula:
                                    
= (Annual demand) x (item cost per unit)


The following steps will explain to you the classification of items into A, B and C categories:
1. Find out the unit cost and the usage of each material over a given period.
2. Multiply the unit cost by the estimated annual usage to obtain the net value.
3. List out all the items and arrange them in the descending value. (Annual Value)
4. Accumulate value and add up number of items and calculate percentage on total inventory in value and in number.
5. Draw a curve of percentage items and percentage value.
 6. Mark off from the curve the rational limits of A, B and C categories.

Advantages of ABC Analysis:
·         Classification of items.
·         Variation of prices can be done and identified easily.
·         Emergency needs can be fulfilled.
·         Visualization of stock levels can be done.
·         Record maintaining is easy.
·         Inventory analysis can be done easily.
Dis- advantages of ABC Analysis:
·         It has to be done in standard way.
·         Lowest cost items get no importance.
·         Coding of item should be done properly otherwise ABC analysis fail.
·         Cost factors in analysis may not match with the market dynamics.

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