Six Sigma Black Belt Training Program

The Certified Six Sigma Black Belt 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 non-value-added elements and activities and are able to use specific tools.

  • Six Sigma methodology and DMAIC process
  • Highlights the role of Black Belt and other team members for successful implementation
  • Project selection and defining techniques for maximum impact
  • How to convert practical problem to statistical problem and derive statistical solution then convert it to practical solution for implementation
  • Project management techniques- How to present your project, project closure and key to successful transition
  • How to use Minitab for statistical analysis
  • Quality Assurance Engineers, Project Managers, Team leaders, Software Professionals, Practitioners, Software Quality Assurance team members and Senior Management
  • The management team of organisations who intend to implement and practice Six Sigma
  • Professionals who want to get certified as Black Belt in Six Sigma
  • Future managers including, management students
  • Any other professional members who are involved in research, innovations or consulting in process improvement practices.

This course includes following topics:

  • Project Charter, VOC to CTQs, Kano Model, SIPOC
  • Process Capability, Segmentation & Stratification
  • Measurement System Analysis (Gage & Attribute R&R)
  • Box Plot, Rolled Through Put Yield, Process Map Analysis
  • Pareto, Concept of Lean, C&I Matrix, Hypothesis Testing
  • Correlation, TRIZ, C&B Matrix, Mistake Proofing, FMEA
  • Process Management Charts, SPC, Response Plan
  • Fishbone Diagram, Data Collection Plan Normality Study
  • Run Chart, Control Chart, Sampling Strategy, Regression
  • Hypothesis - Formation, Alpha and Beta Risks; Test of Means, Variances, Ratios
  • Hypothesis Testing of One Y,X pair: Chi Square, ANOVA (Analysis of Variance)
  • Analysis of Multiple Variables: Concept of Rational Sub grouping, ANOVA (Analysis of Variance)
  • Case study on Hypothesis testing - Concept of Statistical test flow chart
  • Screen Potential Causes - Design of Experiments
  • Significance of DOE (Design of Experiments) to causation
  • DOE Terminology: Main Effects; Interactions; Factors; Settings; Factorial Designs; Degrees of Freedom
  • Introduction to Factorial Design- Full and Fractional Factorial
  • Factors and Output; DOE requirements; Setting up a DOE study - understanding Alias Table
  • Main Effects Plot; Interactions Plot, Pareto with Confidence Intervals, significance of Standardized effect
  • Change Management Tools like A-RM-I, GRPI, Stakeholder Analysis, Elevator Speech, Threat and opportunity

Basic understanding of statistics and statistical tools.