An Italian economist named Vilfredo Pareto (1848-1923), one of the many investigations in which I participate, he realized that the distribution of wealth and income in society was not at all fair. In this regard, he concluded that approximately 80% of the society's wealth was in the hands of 20% of the population, and the remaining 20% \u200b\u200bof the revenue would be shared 80% of the population.
Over time, became aware that this same logic was in many aspects of life and was applicable to many situations, so it was named as Pareto's Law, also known as 80-20 rule.
ABC classification, based on the Pareto law, is very useful, among other things, to make decisions about the location of products in stock. In this sense, it is possible to apply the ABC classification attending to different criteria, such as:
• ABC classification based on the volume of stock.
ABC • Classification based on line items received.
Steps to carry out an ABC classification of references
1 - Sort all references from highest to lowest based on selected criteria. That is, if you want to calculate an AUC based on the volume of stock, references should be sorted from highest to lowest, based on this criterion.
2 - In response to the selection criteria selected for ABC, calculate the percentage of each reference to the total sum.
3 - Calculate the cumulative percentages calculated in the previous step.
4 - Set the ABC classification.
ABC depending on the volume of stock
ABC classification based on the volume of stock of each reference, which are a glimpse of the few references that accumulate a high percentage of Total volume handled in the warehouse stock and many references which are those that accumulate a small percentage of total volume.
This reference and as we could establish as
* References A: those assuming 20% \u200b\u200bof the total references store, accumulate 80% of the total volume of stock . References
* B: those assuming 30% of the total reference stock, accumulated to 15% of total stock. References
* B: those assuming 30% of the total reference stock, accumulated to 15% of total stock. References
* C: those assuming 50% of the total references store, accumulate a 5% of total stock.
ABC
according to the order lines received
ABC classification according to the line items for each referral received, a glimpse of what those few references that support a high percentage of operations (picking, picking ) on the shelf, and what are those many references that support small percentage of total manipulation.
Noteworthy in this case, to be clear about the references that support a greater number of manipulations, it is desirable to focus the analysis on the data of line items received by each reference and not, as in some cases, the sales data for each reference. Suppose
for 2 references (A and B), of which 5000 units are sold each year. It could give the following case:
* The reference to two orders is requested in 2000 and 3000 units (two line items), so that will only be two manipulations (preparations in order) to take over the entire year.
* Reference B is requested by customers in thousands of orders for five units each (one thousand line items), so that store operators must carry out the picking and preparing orders for this reference thousand times over throughout the year.
Therefore, it can see that with two references with the same volume of sales, the manipulations supported by each may vary greatly.
Thus, by way of example, we could establish as
* References A: those which, assuming 20% \u200b\u200bof total referrals store, accumulate 80% of order lines received.
* References B: those which, assuming 30% of total referrals store, accumulate 15% of order lines received. References
* C: those which, assuming 50% of total referrals store, accumulate a% 5 lines order received.
ABC classification according to the line items for each referral received, a glimpse of what those few references that support a high percentage of operations (picking, picking ) on the shelf, and what are those many references that support small percentage of total manipulation.
Noteworthy in this case, to be clear about the references that support a greater number of manipulations, it is desirable to focus the analysis on the data of line items received by each reference and not, as in some cases, the sales data for each reference. Suppose
for 2 references (A and B), of which 5000 units are sold each year. It could give the following case:
* The reference to two orders is requested in 2000 and 3000 units (two line items), so that will only be two manipulations (preparations in order) to take over the entire year.
* Reference B is requested by customers in thousands of orders for five units each (one thousand line items), so that store operators must carry out the picking and preparing orders for this reference thousand times over throughout the year.
Therefore, it can see that with two references with the same volume of sales, the manipulations supported by each may vary greatly.
Thus, by way of example, we could establish as
* References A: those which, assuming 20% \u200b\u200bof total referrals store, accumulate 80% of order lines received.
* References B: those which, assuming 30% of total referrals store, accumulate 15% of order lines received. References
* C: those which, assuming 50% of total referrals store, accumulate a% 5 lines order received.
0 comments:
Post a Comment