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 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) 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 Easykash Payment Link

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