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Six Sigma - What is Six Sigma?
Six Sigma at many organizations simply means a measure of quality that strives for near perfection. Six Sigma is a disciplined, data-driven approach and methodology for eliminating defects (driving towards six standard deviations between the mean and the nearest specification limit) in any process - from manufacturing to transactional and from product to service.
The statistical representation of Six Sigma describes quantitatively how a process is performing. To achieve Six Sigma, a process must not produce more than 3.4 defects per million opportunities. A Six Sigma defect is defined as anything outside of customer specifications. A Six Sigma opportunity is then the total quantity of chances for a defect.
The fundamental objective of the Six Sigma methodology is the implementation of a measurement-based strategy that focuses on process improvement and variation reduction through the application of Six Sigma improvement projects. This is accomplished through the use of two Six Sigma sub-methodologies: DMAIC and DMADV.
The Six Sigma DMAIC process (define, measure, analyze, improve, control) is an improvement system for existing processes falling below specification and looking for incremental improvement.
The Six Sigma DMADV process (define, measure, analyze, design, verify) is an improvement system used to develop new processes or products at Six Sigma quality levels. It can also be employed if a current process requires more than just incremental improvement.
General Electric, one of the most successful companies implementing Six Sigma, has estimated benefits on the order of $10 billion during the first five years of implementation. GE first began Six Sigma in 1995 after Motorola and Allied Signal blazed the Six Sigma trail. Since then, thousands of companies around the world have discovered the far reaching benefits of Six Sigma.
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One to 6Sigma conversion table
| Long Term Yield (basically the percentage of successful outputs or operations)
% | Defects Per Million Opportunities (DPMO) | 'Processs Sigma' |
| 99.99966 | 3.4 | 6 |
| 99.98 | 233 | 5 |
| 99.4 | 6,210 | 4 |
| 93.3 | 66,807 | 3 |
| 69.1 | 308,538 | 2 |
| 30.9 | 691,462 | 1 |
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•When a process is in control, there occurs a natural pattern of variation.
•Natural pattern has:
- About 34% of the plotted point in an imaginary band between 1s on both side CL.
- About 13.5% in an imaginary band between 1s and 2s on both side CL.
–- About 2.5% of the plotted point in an imaginary band between 2s and 3s on both side CL.
