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This article explains the theory of Pareto Analysis by Vilfredo Pareto in a practical way. After reading you will understand the basics of this powerful problem solving tool.
What is the Pareto Analysis?
The Pareto Analysis, also known as the Pareto principle or 80/20 rule, assumes that the large majority of problems (80%) are determined by a few important causes 20%).
The founder of this analysis, Italian economist Vilfredo Pareto, discovered this when he was carrying out a study at the end of the 18th century in which he ascertained that 20% of the Italian population owned 80% of the property.
This 80/20 rule or Pareto Analysis was further developed by total quality management guru Joseph Juran (after 1940) and can be applied to various matters (for instance decision-making and other complex issues).
A few of the 80/20 rule examples from daily practice which are often correct are:
- 80% of the customer complaints ensue from 20% of the products or services delivered.
- 20% of the products or services yield 80% of the profits.
- 20% of the people responsible for sales generate 80% of the operational income.
- 20% of the system failures are caused by 80% f the system problems.
The principle of the Pareto Analysis is based on the Zipf distribution (pattern in linguistics and a discrete probability distribution with parameters λ and N).
In addition to being a static technique, the Pareto Analysis is a creative and practical way of looking at the causes of problems.
It stimulates ideas about thinking and organizing.
This method of analysis (Pareto Analysis) helps identify the main causes (20%) that lead to 80% of the problems that need are to be solved.
Pareto Analysis in practice
In order to apply the Pareto analysis in practice some basic steps have been defined which can be followed to arrive at a thorough analysis.
Step 1: Measuring – identify the problems and document them in a table
Based on observations, interviews and reports, data can be collected from which problems can be deduced.
Subsequently, these problems are documented in a table and grouped if possible.
It is important to apply the ‘cause-effect’ theory to each item so that the source of each documented problem can be found.
There are several techniques that can help in this such as for example the Root Cause Analysis (RCA).
Step 2: Determine their order of importance
Organize the inventoried problems in ranking order from the most important down to the least important in descending order.
Make sure that the most important cause is documented first.
Step 3: Mark or score each recorded problem
Now that the problems have been identified, deduced and been put in order of importance, it is essential to link these to a mark or score.
The way in which a score must be calculated depends on the type of problem that needs to be solved.
For example a financial approach (improvement of profits) will focus on how the score relates to what costs are involved with solving these problems.
Is the focus on customer-orientation (improving customer satisfaction), then the focus is on the number of complaints that need to be solved.
Pareto Analysis calculation example
An example is a computation of the percentages of problem costs, in other words, the number of times a department is faced with this problem or the opportunities of how a department can increase sales.
Step 4: Group the identified problem and add the marks or scores
The identified problems are grouped based on their causes.
If, for example, there are five problems that lead to dysfunctional employees then put them together in one group. Now that all problems have been grouped, the marks or scores are added. The group with the highest score must be given the highest priority in order so that they can be dealt with.
This is where the most results can be obtained in terms of optimization. The data can be converted into a graph called a Pareto Analysis Diagram.
Pareto Analysis Diagram
Step 5: Time to act
Using the information from step 4, an action plan can be drawn up in which performance improvement actions can be formulated.
It’s Your Turn
What do you think? Are you familiar with the Pareto Analysis or Pareto Diagram? Do you recognize the practical explanation or do you have more suggestions? What are your success factors for the good problem analysis and approach?
Share your experience and knowledge in the comments box below.
- Fotopoulos, C., Kafetzopoulos, D., & Gotzamani, K. (2011). Critical factors for effective implementation of the HACCP system: a Pareto analysis. British Food Journal, 113(5), 578-597.
- Karuppusami, G., & Gandhinathan, R. (2006). Pareto analysis of critical success factors of total quality management: A literature review and analysis. The TQM magazine, 18(4), 372-385.
- Kaliszewski, I. (1994). Quantitative Pareto analysis by cone separation technique. Kluwer Academic Publishers.
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