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WHAT IS SIX SIGMA

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At the Six Sigma level, there are only 3.4 defects / errors per million opportunities for error. ... The term 'Six Sigma' leads us to the perception that it is ... – PowerPoint PPT presentation

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Title: WHAT IS SIX SIGMA


1
WHAT IS SIX SIGMA?
Ranhill Berhad 36th Floor, Empire Tower No 182
Jalan Tun Razak 50400 Kuala Lumpur Malaysia Tel
0060 3 2171 2020 Fax 0060 3 2164 2235
2
WHAT IS SIX SIGMA?
  • The term Six Sigma is a statistical measure of
    quantifying defects/errors and at Six Sigma a
    process is producing only 3.4 defects/errors per
    million opportunities of error.
  • The term Six Sigma leads us to the perception
    that it is all about engineers using complex
    statistics. Whilst statistics form an important
    part of Six Sigma training, the methodology also
    includes a spectrum of skills and tools such as
    leadership project management, process mapping,
    brainstorming techniques, qualitative analysis
    etc.
  • Six Sigma was originally developed by Motorola in
    the 1980s as a continuous quality improvement
    technique. Since then, Six Sigma has moved far
    beyond just counting defects in a process or
    product. Today, it has evolved into a methodology
    to improve overall business performance, and is
    closely tied to a companys business strategies.
  • In summary, Six Sigma is a structured and
    scientific methodology to
  • Identify Improvement Opportunities.
  • Define and solve problems.
  • Establish measures to sustain the improvement.

3
WHAT IS SIX SIGMA?
The main steps in implementing a Six Sigma
campaign are
4
WHAT IS SIX SIGMA?
5
WHAT IS SIX SIGMA?
Some of the activities and tools in a typical
DMAIC phased Six Sigma project
  • Define Measure
  • Identify business opportunities
  • Identify customer requirements
  • Process mapping
  • Process Value Added analysis
  • Cause Effect
  • Sampling, study of variations
  • Control charts
  • Measurement system analysis
  • Process performance
  • Analyse
  • Root cause analysis
  • Process stratification
  • Validation of root cause(s)
  • Hypothesis testing
  • Comparative testing
  • Sources of variation study
  • Failure mode effect analysis
  • Improve
  • Generating improvement ideas
  • Evaluation selection of ideas
  • Response surface methodology
  • Presentation model tools
  • Implementing change
  • Control
  • Planning a pilot
  • Implementing solutions
  • Statistical Process Control
  • Process Integration
  • Closure recognition
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