Lean Six Sigma Black Belt
OUR Trainings
Lean Six Sigma Black Belt
Our Lean Six Sigma Black Belt Training & Certification program provides advanced expertise in Lean Six Sigma principles and practices. This intensive program equips participants with the leadership skills and technical knowledge required to lead high-impact projects and drive organizational change. Through rigorous training, real-world applications, and mentorship, you will learn to solve complex problems, optimize processes, and achieve substantial performance improvements. Certification as a Black Belt signifies your proficiency in managing large-scale initiatives and your ability to deliver strategic value to your organization.
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Topics to be coverd
- 1. Fundamentals of Process Improvement
- 2. General History of Lean Six Sigma
- 3. Principles of Lean and Six Sigma
- 4. Voice of the Customer, and Business
- 5. Lean Six Sigma Belt Roles
- 6. Defining a Process
- 7. Inputs and Outputs
- 8. The 8 Elements of Waste
- 9. Sustainable Processes
- 10. 5S
- 11. Critical to Quality (CTQs)
- 12. SIPOC
- 13. Process Mapping
- 14. Value Stream Mapping
- 15. Flow and Bottle-necks
- 16. Single-Piece-Flow
- 17. Poka-Yoke (Mistake Proofing)
- 18. SMED (Quick Change Over)
- 19. PULL and Just-in-Time
- 20. Kanban
- 21. Visual Management
- 22. Standardised Work
- 23. Kaizen and Kaizen Events
- 24. PDCA
- 25. Root Cause Analysis
- 26. Cause & Effect / Fishbone Diagrams
- 27. Pareto Principle / Pareto Charts
- 28. Industry 4.0 (Introduction)
- 29. Lean Six Sigma Projects
- 30. DMAIC basics
- 31. Define Phase of DMAIC
- 32. A3 Reports
- 33. Measure Phase of DMAIC
- 34. Failure Mode & Effects Analysis (FMEA)
- 35. Six Sigma Statistics
- 36. Use of Excel, Minitab or SigmaXL
- 37. Descriptive Statistics
- 38. Different Types of Data
- 39. Normal Distributions & Normality
- 40. Graphical Analysis
- 41. Histograms
- 42. Box Plots
- 43 Run Charts
- 44. Precision & Accuracy
- 45. Bias, Linearity & Stability
- 46. Gage Repeatability & Reproducibility
- 47. Variable & Attribute MSA
- 48. Process Capability
- 49. Capability Analysis, Cp, Cpk, Pp, Ppk
- 50. Long term vs Short term Variation
- 51. Analyze Phase of DMAIC
- 52. Y=f(x)
- 53. Scatter Plots and Correlation
- 54. Correlation Coefficients
- 55. Simple Linear Regression
- 56. Regression Equations
- 57. Digital Transformation (Introduction)
- 58. Smart Technology (Introduction)
- 59. Hypothesis Testing basics
- 60. Hypothesis Testing Uses
- 61. Practical vs. Statistical Significance
- 62. Alpha & Beta Risk
- 63. p-values
- 64. Types of Hypothesis Test
- 65. T-Tests
- 66. Designed Experiments
- 67. OFAT
- 68. Full Factorial Experiments
- 69. Full Factorial Designs
- 70. Improve Phase of DMAIC
- 71. Implementation Plans
- 72. Control Phase of DMAIC
- 73. Control Plans
- 74. Statistical Process Control (SPC)
- 75. Data Collection for SPC
- 76. Types of Control Charts
- 77. Tests for Special Cause Variation
- 78. Roles and Responsibilities of a Black Belt
- 79. Portfolio Management - Programme Management
- 80. Process Mining
- 81. Design for Six Sigma ( DFSS )
- 82. Hoshin Kanri / Strategic Planning
- 83. Inferential Statistics
- 84. Central Limit Theorem
- 85. Standard Error of the Mean
- 86. Sampling Techniques
- 87. Sample Size calculation
- 88. Confidence & Prediction Intervals
- 89. Hypothesis Testing with Attribute Data
- 90. One and Two Sample Proportion
- 91. Chi-Squared (Contingency Tables)
- 92. Non- Linear Regression
- 93. Multiple Linear Regression
- 94. Use of Stats Software ( such as Minitab, SigmaXL)
- 95. DOE Design Choices
- 96. Full Factorial Experiments
- 97. Fractional Factorial / Screening Experiments
- 98. Binomial and Poisson Distribution and Calculations
- 1. Fundamentals of Process Improvement
- 2. General History of Lean Six Sigma
- 3. Principles of Lean and Six Sigma
- 4. Voice of the Customer, and Business
- 5. Lean Six Sigma Belt Roles
- 6. Defining a Process
- 7. Inputs and Outputs
- 8. The 8 Elements of Waste
- 9. Sustainable Processes
- 10. 5S
- 11. Critical to Quality (CTQs)
- 12. SIPOC
- 13. Process Mapping
- 14. Value Stream Mapping
- 15. Flow and Bottle-necks
- 16. Single-Piece-Flow
- 17. Poka-Yoke (Mistake Proofing)
- 18. SMED (Quick Change Over)
- 19. PULL and Just-in-Time
- 20. Kanban
- 21. Visual Management
- 22. Standardised Work
- 23. Kaizen and Kaizen Events
- 24. PDCA
- 25. Root Cause Analysis
- 26. Cause & Effect / Fishbone Diagrams
- 27. Pareto Principle / Pareto Charts
- 28. Industry 4.0 (Introduction)
- 29. Lean Six Sigma Projects
- 30. DMAIC basics
- 31. Define Phase of DMAIC
- 32. A3 Reports
- 33. Measure Phase of DMAIC
- 34. Failure Mode & Effects Analysis (FMEA)
- 35. Six Sigma Statistics
- 36. Use of Excel, Minitab or SigmaXL
- 37. Descriptive Statistics
- 38. Different Types of Data
- 39. Normal Distributions & Normality
- 40. Graphical Analysis
- 41. Histograms
- 42. Box Plots
- 43 Run Charts
- 44. Precision & Accuracy
- 45. Bias, Linearity & Stability
- 46. Gage Repeatability & Reproducibility
- 47. Variable & Attribute MSA
- 48. Process Capability
- 49. Capability Analysis, Cp, Cpk, Pp, Ppk
- 50. Long term vs Short term Variation
- 51. Analyze Phase of DMAIC
- 52. Y=f(x)
- 53. Scatter Plots and Correlation
- 54. Correlation Coefficients
- 55. Simple Linear Regression
- 56. Regression Equations
- 57. Digital Transformation (Introduction)
- 58. Smart Technology (Introduction)
- 59. Hypothesis Testing basics
- 60. Hypothesis Testing Uses
- 61. Practical vs. Statistical Significance
- 62. Alpha & Beta Risk
- 63. p-values
- 64. Types of Hypothesis Test
- 65. T-Tests
- 66. Designed Experiments
- 67. OFAT
- 68. Full Factorial Experiments
- 69. Full Factorial Designs
- 70. Improve Phase of DMAIC
- 71. Implementation Plans
- 72. Control Phase of DMAIC
- 73. Control Plans
- 74. Statistical Process Control (SPC)
- 75. Data Collection for SPC
- 76. Types of Control Charts
- 77. Tests for Special Cause Variation
- 78. Roles and Responsibilities of a Black Belt
- 79. Portfolio Management - Programme Management
- 80. Process Mining
- 81. Design for Six Sigma ( DFSS )
- 82. Hoshin Kanri / Strategic Planning
- 83. Inferential Statistics
- 84. Central Limit Theorem
- 85. Standard Error of the Mean
- 86. Sampling Techniques
- 87. Sample Size calculation
- 88. Confidence & Prediction Intervals
- 89. Hypothesis Testing with Attribute Data
- 90. One and Two Sample Proportion
- 91. Chi-Squared (Contingency Tables)
- 92. Non- Linear Regression
- 93. Multiple Linear Regression
- 94. Use of Stats Software ( such as Minitab, SigmaXL)
- 95. DOE Design Choices
- 96. Full Factorial Experiments
- 97. Fractional Factorial / Screening Experiments
- 98. Binomial and Poisson Distribution and Calculations
- Fundamentals of Process Improvement
- General History of Lean Six Sigma
- Principles of Lean and Six Sigma
- Voice of the Customer, and Business
- Lean Six Sigma Belt Roles
- Defining a Process
- Inputs and Outputs
- The 8 Elements of Waste
- Sustainable Processes
- 5S
- Critical to Quality (CTQs)
- SIPOC
- Process Mapping
- Value Stream Mapping
- Flow and Bottle-necks
- Single-Piece-Flow
- Poka-Yoke (Mistake Proofing)
- SMED (Quick Change Over)
- PULL and Just-in-Time
- Kanban
- Visual Management
- Standardised Work
- Kaizen and Kaizen Events
- PDCA
- Root Cause Analysis
- Cause & Effect / Fishbone Diagrams
- Pareto Principle / Pareto Charts
- Industry 4.0 (Introduction)
- Lean Six Sigma Projects
- DMAIC basics
- Define Phase of DMAIC
- A3 Reports
- Measure Phase of DMAIC
- Failure Mode & Effects Analysis (FMEA)
- Six Sigma Statistics
- Use of Excel, Minitab or SigmaXL
- Descriptive Statistics
- Different Types of Data
- Normal Distributions & Normality
- Normal Distributions & Normality
- Graphical Analysis
- Histograms
- Box Plots
- Run Charts
- Measurement System Analysis
- Precision & Accuracy
- Bias, Linearity & Stability
- Gage Repeatability & Reproducibility
- Variable & Attribute MSA
- Process Capability
- Capability Analysis, Cp, Cpk, Pp, Ppk
- Long term vs Short term Variation
- Analyze Phase of DMAIC
- Y=f(x)
- Scatter Plots and Correlation
- Correlation Coefficients
- Simple Linear Regression
- Regression Equations
- Digital Transformation (Introduction)
- Smart Technology (Introduction)
- Hypothesis Testing basics
- Hypothesis Testing Uses
- Practical vs. Statistical Significance
- Alpha & Beta Risk
- Types of Hypothesis Test
- T-Tests
- Designed Experiments
- OFAT
- Full Factorial Experiments
- Full Factorial Designs
- Improve Phase of DMAIC
- Implementation Plans
- Control Phase of DMAIC
- Control Plans
- Statistical Process Control (SPC)
- Data Collection for SPC
- Types of Control Charts
- Tests for Special Cause Variation
- Y=f(x)
- Y=f(x)
- Roles and Responsibilities of a Black Belt
- Portfolio Management - Programme Management
- Process Mining
- Design for Six Sigma ( DFSS )
- Hoshin Kanri / Strategic Planning
- Inferential Statistics
- Central Limit Theorem
- Standard Error of the Mean
- Sampling Techniques
- Sample Size calculation
- Confidence & Prediction Intervals
- Hypothesis Testing with Attribute Data
- One and Two Sample Proportion
- Chi-Squared (Contingency Tables)
- Non- Linear Regression
- Multiple Linear Regression
- Use of Stats Software ( such as Minitab, SigmaXL)
- DOE Design Choices
- Full Factorial Experiments
- Fractional Factorial / Screening Experiments
- Binomial and Poisson Distribution and Calculations
