The Certified Six Sigma Black Belt (CSSBB)

The ASQ Certified Six Sigma Black Belt The Certified Six Sigma Black Belt (CSSBB) is a professional who can explain Six Sigma philosophies and principles, including supporting systems and tools. A Black Belt should demonstrate team leadership, understand team dynamics, and assign team member roles and responsibilities. Black Belts have a thorough understanding of all aspects of the DMAIC model in accordance with Six Sigma principles. They have basic knowledge of lean enterprise concepts, are able to identify nonvalue-added elements and activities, and are able to use specific tools. 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 Methodologie 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) Chapter 9 (Team training) IV. Define Chapter 10 (Voice of customer): Customer identification and Customer requirements Quality function deployment , SIPOC and Kano model Chapter 11 (Project charter and business case) Chapter 12 (Project management tools) Chapter 13 (Analytical tools) V. Measure Chapter 14 (Process characteristics): Process flow metrics and process analysis tools Chapter 15 (Data collection): Data types and Measurement scales Sampling Chapter 16 (Measurement system): Measurement systems Metrology Chapter 17 (Basic statistics) Chapter 18 (Probability): Basic concepts Distributions Chapter 19 (Process capability) VI. Analyze Chapter 20 (X and Y relationship) Chapter 21 (Hypothesis testing): Testing concept and types of errors Point estimators and confidence intervals Test for mean Test for variance  Chapter 22 (Failure mode and effects analysis) Chapter 23 (Additional analysis methods) VII. Improve Chapter 24 (Design of experiments): Basic concepts Full and fractional factorial designs One and Two way ANOVA Blocking and resolution Design for X Robust design Chapter 25 (Lean methods) Chapter 26 (Implementation) VIII. Control Chapter 27 (Statistical process control): Types of variation Rational sub grouping Continuous data control charts Discrete data control charts Out of control conditions Chapter 28 (Other control tools) Chapter 29 (Maintain improvements) Chapter 30 (Sustain improvements) IX. Design for Six Sigma (DFSS) Framework and Methodologies Chapter 31 (Common DFSS methodologies ) Chapter 32 (Design for X) Chapter 33 (Robust designs) Chapter 34 (Retained Knowledge) Instructor  Dr. Mustapha Hafez Easykash Payment Link