Six Sigma Black Belt


Six Sigma Black Belt

Six Sigma is a methodology which provides prized analytic and process skills. These skills are relevant to various positions in an organization. and will give you an advantage above the competition.

It is a respected accumulation to your resume. You’ll also improve upon problem solving and leadership acumen. Six Sigma certification is great way to improve your capabilities as a professional at various levels of hierarchy in any organization.

Who should attend ?

You must have three years of work experience, in one or more areas of the Six Sigma Black Belt Body of Knowledge.

Course Topics:

I. Organization-Wide Planning and Deployment

   Chapter 1 (Organization wide considerations):

  • Fundamentals of  Six Sigma and Lean Methodologies
  • Six Sigma , Lean and Continuous improvement Methodologies
  • Relationships between Systems and Processes
  • Strategic planning and deployment for initiatives

   Chapter 2 (Leadership):

  • Roles and responsibilities under Six Sigma
  • Organizational roadblocks and change management 

II. Organizational Process Management and Measures

   Chapter 3 (Stakeholders)

   Chapter 4 (Benchmarking)

   Chapter 5 (Business measures):

  • Balanced scorecard
  • Key performance indicators
  • Customer loyalty
  • Common financial measures
  • Cost of Quality

III. Team Management

   Chapter 6 (Team formation)

   Chapter 7 (Team facilitation)

   Chapter 8 (Team dynamics)

IV. Define

   Chapter 9 (Voice of customer):

  • Customer identification and Customer requirements
  • Quality function deployment , SIPOC and Kano model

   Chapter 10 (Project charter and business case)

   Chapter 11 (Project management tools)

   Chapter 12 (Analytical tools)

V. Measure

   Chapter 13 (Process characteristics):

  • Process flow metrics and process analysis tools

   Chapter 14 (Data collection):

  • Data types and Measurement scales
  • Sampling

   Chapter 15 (Measurement system):

  • Measurement systems Metrology

   Chapter 16 (Basic statistics)

   Chapter 17 (Probability):

  • Basic concepts Distributions

VI. Analyze

   Chapter 18 (X and Y relationship)

   Chapter 19 (Hypothesis testing):

  • Testing concept and types of errors
  • Point estimators and confidence intervals
  • Test for mean
  • Test for variance 

   Chapter 20 (Failure mode and effects analysis)

   Chapter 21 (Additional analysis methods)

VII. Improve

   Chapter 22 (Design of experiments):

  • Basic concepts
  • Full and fractional factorial designs
  • One and Two way ANOVA
  • Blocking and resolution
  • Design for X
  • Robust design

   Chapter 23 (Lean methods)

   Chapter 24 (Implementation)

VIII. Control

   Chapter 25 (Statistical process control):

  • Types of variation
  • Rational sub grouping
  • Continuous data control charts
  • Discrete data control charts Out of control conditions
  • Process capability

   Chapter 26 (Other control tools)

   Chapter 27 (Maintain improvements)

   Chapter 28 (Sustain improvements)

IX. Design for Six Sigma (DFSS) Framework and Methodologies

   Chapter 29 (Common DFSS methodologies )

   Chapter 30 (Design for X)

   Chapter 31 (Robust designs)


Dr. Mustapha Hafez

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Data sheet

Minimum Experience
3 years
Number of Sessions
15 sessions
Session Time (/h)
5 hours
Price in Egyptian Pounds
Starting Date
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