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Evolution of Six Sigma

Six Sigma traces its roots to the 1800s with mathematician Carl Gauss’s work on normal distribution. The term “Six Sigma” was later coined by Motorola engineer Bill Cohen, and standardized by Bill Smith in 1986 to measure defects per million opportunities—aiming for 99.9997% defect-free output (just 3.4 defects per million).

Adopted by major companies like Motorola, GE, and Citibank, Six Sigma has delivered billions in savings by reducing defects, rework, and cycle time—ultimately improving quality and customer satisfaction.

What sets Six Sigma apart:

  • Data-driven, project-based methodology
  • Focus on process and performance improvement
  • Organization-wide commitment to continuous improvement

Six Sigma Methodologies

Two Key Six Sigma Methodologies: DMAIC & DMADV

DMAIC is used to improve existing processes:

  • Define project goals and customer needs
  • Measure current performance
  • Analyze root causes of issues
  • Improve by eliminating defects
  • Control to sustain improvements

DMADV is used to create new products or processes:

  • Define goals and customer requirements
  • Measure and assess current capabilities
  • Analyze design alternatives
  • Design the optimized solution
  • Validate that it meets customer needs

DMAIC focuses on refinement, while DMADV is for innovation.

Six Sigma Characteristics

  • Customer centric
  • Process focused
  • Data driven
  • Involvement and support of the top management
  • Cultural change
  • Breakthrough performance gains
  • Structured improvement deployment
  • Validation through key business results
  • Reduction in variation
  • Elimination of defects
  • Improvement in yield
  • Enhancement in customer satisfaction
  • Strengthening of the bottom line

Six Sigma vs Traditional Quality Management

Six Sigma

  • Decisions are driven by data
  • Control process inputs (Focus on X’s)
  • Structured use of statistical tools to help in problem solving
  • Structured training in applied statistics
  • Root cause approach
  • Prevention over inspection

Traditional Quality Management

  • Decisions are taken based on a combination of data and 'gut feel'.
  • Inspection method (Focus on Y)
  • No formal structure exists for the application of tools
  • Lack of structured training
  • Band aid approach
  • Inspection over prevention