June 19, 2025

Understanding Six Sigma

by Our content team
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Six Sigma is a highly disciplined methodology that helps organizations to develop and deliver near perfect processes. We provide some insights into the Six Sigma approach to continuous improvement in this article.

Process Perfect

Six Sigma takes a results-oriented, data-driven approach to eliminating defects in a product or service process. Its name comes from the Greek letter ‘sigma’, which is used as a statistical term to measure how far a process deviates from perfection (‘standards deviation’).

The central idea behind Six Sigma is that if you can measure the number of defects in a process, you can systematically determine how to eliminate them and get as close to zero defects as possible.

The term ‘Six Sigma’ refers to a status that a process must achieve to be considered acceptable. In any one million opportunities for a defect to occur, a process must not produce more than 3.4 defects. If it produces more than this, the process is considered less than perfect and is examined to see where improvements can be made.

Six Sigma Sub-Methodologies

The fundamental objective of a Six Sigma project is to implement measurement-based strategies that focus on process improvement and defect reduction. This is carried out using two Six Sigma sub-methodologies: DMAIC and DMADV.

Both sub-methodologies are similar in that they are both data-driven solutions, relying on facts derived using the measurement systems that are in place. (No decisions in Six Sigma are based on intuition.) However, they are both used for different purposes.

1. DMAIC [1]

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