Six sigma very basic concise explanation and use of it

SkorkovskýKPH_ESF_MU BRNO_Czech Republic

Six Sigma method

• Motorola 1985• Use in order to produce better products nad

less problem processes • PPM- parts per million ->4,4 defects /million

opportunities• Six-Sigma-DMAIC methodology

Where Six Sigma method can be applied

Normal distribution

Normal distribution curve that illustrates standard deviations. Each band has 1 standard deviation, and the labels indicate the approximate proportion of area (note: these add up to 99.8%, and not 100% due to rounding for presentation.)

SIX SIGMA Statistical background

Target = m

Some Key measure

Resource : Pro-Enbis

+/ - 3s

Statistical background

Target = m

‘Control’ limits

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LSL USL

Statistical background

Required Tolerance

Target = m

Lower specification level Upper specification level

+/ - 3s

+/ - 6s

LSL USL

Statistical background

Tolerance

Target = m

Six-Sigma

+/ - 3s

+/ - 6s

LSL USL

ppm1350

ppm1350

Statistical background

Tolerance

Target = m

Ppm= parts per million

+/ - 3s

+/ - 6s

LSL USL

ppm0.001

ppm1350

ppm1350

ppm0.001

Statistical background

Tolerance

Target = m

Statistical background

• Six-Sigma allows for un-foreseen ‘problems’ and longer term issues when calculating failure error or re-work rates

• Allows for a process ‘shift’ (1,5 σ)

LSL

0 ppm ppm3.4

1.5s USL

ppm3.4ppm

66803

m

+/ - 6s

Statistical background

Tolerance

Performance Standards

23456

30853766807

62102333.4

PPM

69.1%93.3%99.38%99.977%99.9997%

Yield

Processperformance

Processperformance

Defects permillion

Defects permillion

Long term yield

Long term yield

Current standardCurrent standard

World ClassWorld Class