Supply Chain Network and Technology
The entire concept of business philosophy has moved away from traditional model to being more customer oriented, driven by demand and based on collaborative and joint operational strategies across global markets. Supply Chain Networks have in recent times evolved from simple sequential and linear process networks to highly dynamic processes that call for information and […]
How Emerging Markets Transformed Themselves Over the Last Few Decades
From Backwaters to Powerhouses At the start of the 1970s a widely held belief in the United States and in Europe was about how there were no markets outside of their regions. The implication was that the Third World countries were not worthy of foreign investment as they were steeped in backwardness, immersed in poverty, […]
Italy’s Citizen Income Proposal
The Italian economy is going through a rough financial period. Not too long ago, the budget of this European economy was being approved by the European Union. The EU has been helping Italy on the condition that it will keep public expenditure to a bare minimum. However, Italy has now decided to launch a very […]
The Economic Effects of Digital Distractions
The 21st century is also known as the information age. The biggest companies in the world today sell nothing but information. Consider the case of Google, Facebook, and Twitter, etc. that have billions of dollars in market capitalization. Every company, big or small, now has a social media department. The job of the people in […]
Total Quality Management Models
Total Quality Management is a combined effort of both top level management as well as employees of an organization to formulate effective strategies and policies to deliver high quality products which not only meet but also exceed customer satisfaction. Total Quality management enables employees to focus on quality than quantity and strive hard to excel […]
Sigma or standard deviation is a statistical measure of dispersion in data. It is a measure which uses the characteristic of past data to make judgements about how the process will perform in the future. If a given set of data has normal probability distribution then the number of defects that will occur in the process over a period of time can be known depending upon the sigma level of the process.
The sigma (standard deviation) is multiplied with the numbers 1, 2, 3 etc to come up with a range. For example lets assume that the average of a data set is 10, while the sigma is 2. Hence 1 sigma will include all the data points between 10 +/-2 i.e. between 8 and 12. A 2 sigma measure would include 10+/-2(2) i.e. all data points between 6 and 14. So on and so forth.
However, it is a known fact that in a normal distribution the points tend to be around the mean. Therefore all the points will be closer to the average. Hence as one goes to farther and farther sigma levels the additional gains in terms of productivity are less.
To be a six sigma organization, the processes of an organization must be able to support this kind of efficiency sustainably. Building such robust processes requires a lot of intelligence and effort.
| Sigma Level | Defects/Million | Percentage Defects |
| 1 | 691462 | 69% |
| 2 | 308538 | 31% |
| 3 | 66807 | 6.7% |
| 4 | 6210 | 0.62% |
| 5 | 233 | 0.023% |
| 6 | 3.4 | 0.00034% |
| 7 | 0.019 | 0.0000019% |
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The Cost of Poorly Performing Processes – Need for Six Sigma
February 12, 2025
