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8/18/2019 PARETO ANALYSIS AND SUPPLY CHAIN MANAGEMENTPareto Analysis
http://slidepdf.com/reader/full/pareto-analysis-and-supply-chain-managementpareto-analysis 1/5
Knowledge Bite
Pareto Analysis and SupplyChain Management
This knowledge bite aims to give an
insight into the concept of Pareto
Analysis.
CIPS members can record one CPD hour for reading a CIPS Knowledge download that displays a CIPSCPD icon.
8/18/2019 PARETO ANALYSIS AND SUPPLY CHAIN MANAGEMENTPareto Analysis
http://slidepdf.com/reader/full/pareto-analysis-and-supply-chain-managementpareto-analysis 2/5
PARETO ANALYSIS AND SUPPLY CHAIN MANAGEMENT
1. Introduction
The Pareto principle serves as the basis for ABC analysis (also known as the 80/20 or 90/10
rule) with which it is often, though not entirely accurately, regarded as synonymous. ABC
analysis may be defined as:
“The application of Pareto's principle to the analysis of supply data. If items in a store are
arranged in descending order of usage-value and the cumulative number of items are plotted
against the cumulative usage-value the result would be (expected to) show a curve of the
general form associated
with Pareto's Principle.”
In a store, stock may be categorised in broad accordance with the Pareto principle as follows: • Group A: Items that account for 10% of total volume, but account for 60% of total stock value.
• Group B: Items that account for 30% of stock volume, and account for 30% of stock value.
•
Group C: Items that account for 60% of total stock volume, but only account for 10% of total stock
value.
• This segregation of stock into volume value groups enables the stores manager to allocate resources
to maximum effect.
2. Origins of the concept
Vilfredo Pareto (1848 - 1923), economist and sociologist, and widely held to be the founder of
modern welfare economics, made the observation that a large proportion of national wealth
tended to be under the control of a relatively small number of individuals. This enabled him to
formulate the following rule:
“In any series of elements to be controlled, a selected small factor in terms of the number of
elements almost always accounts for a large factor in terms of effort.”
Although this topic file focuses on the application of the Pareto principle to the supply chain,
the theory is equally applicable to a wide range of situations. To take an everyday example - it
is a matter of simple observation that the majority (say 90%) of traffic in the UK is carried on a
relatively small proportion (say 10% in terms of mileage) of the total road network.
©CIPS 2014 1
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There is a considerable volume of literature relating to category C - items which are of low
value but which due to their number represent a considerable expenditure in terms of stock
control, order and procedures. The concept of EOQ (Economic Order Quantity) represents at
least a partial solution to the problem.
The principle of ABC analysis may be illustrated by reference to the following everydaydomestic example, taken from CK Lyson’s book Purchasing and Supply Chain Management
(Prentice Hall, 2000):
“A household will buy many different items in the course of a year. The weekly shopping will
include a number of basic food items such as bread, milk, vegetables, etc.’
These basic items are so important in the household budget it is worthwhile taking care to
choose a shop that gives good value. Information about the prices charged elsewhere can be
obtained from advertisements and visits to other supermarkets. In ABC analysis these items
are known as Class A items. These items merit close day to day control because of their
budgetary importance.
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Other items such as replacement rubber washers for water taps may be needed occasionally. A
packet of washers costs between thirty and fifty pence. Spending hours comparing the price
from different suppliers does not make economic sense. The possible saving is at most twenty
pence and a year or more may elapse before another packet is needed. Items like this thataccount for only a small proportion of spending are known as Class C items.
Experience and common sense shows that it is not cost-effective to set up elaborate and costly
controls for small-value items. Common sense also suggests that, at the ordering stage of the
procurement process, the time spent on processing low-value orders represents an inefficient
use of resources. In fact the problem of low-value orders is widely recognised as a topic in its
own right in the literature.
©CIPS 2014 3
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©CIPS 2014 4