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)

Instructor 

Dr. Mustapha Hafez

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