Lean Six Sigma Green Belt
OUR Trainings
Lean Six Sigma Green Belt
Our Lean Six Sigma Green Belt Training & Certification program offers in-depth knowledge and advanced skills in Lean Six Sigma methodologies. Participants learn to lead and manage projects that drive significant improvements in efficiency and quality. Through comprehensive training, including real-world case studies and practical exercises, you will master data-driven problem-solving techniques. Certification as a Green Belt demonstrates your ability to spearhead complex projects and deliver measurable results, positioning you as a valuable asset in any organization.
£2590 To £1295
Virtual Training
- 6 days (48 hours) of learning
- 12 hours common bonus learning sessions
- 60 mins per candidate 1-1 session post training coaching valid for next 1 year
£3790 To £1895
Classroom Coaching
- 6 days (48 hours) of learning
- 12 hours common bonus learning sessions
- 60 mins per candidate 1-1 session post training coaching valid for next 1 year
Corporate Training
Wish to have a dedicated training at your office? We'd be delighted to come and support - please drop an email to info@prokaizen.co.uk and we will get back to you within 24 hrs
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
- 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
