ExcelR offers two days of Certified Lean Six Sigma Green Belt Certification and Training for both individuals and corporate employees. Lean Six Sigma certification training are delivered by experienced and one of the best Six Sigma trainers in the industry. Training will be driven on Mini-tab and practical exposure is assured with a classroom project.

Lean Six Sigma is devised to incorporate the concepts of Lean (reduce waste) and Six Sigma (reduce variation). The concepts of these methodologies complement each other and produce synergistic impact in achieving profound results. The results are so outstanding that it increases both the bottom-line (profits) and the top-line (increase in business).

Leadership which has used Lean Six Sigma methodology has often achieved the uncommon by exponentially increasing the profits by keeping the operating costs the lowest and maintaining the highest quality. Lean Six Sigma Green and Black belt certification is driven using DMAIC (Define, Measure, Analyze, Improve, Control) methodology whereas Master Black belt certification is delivered majorly on DMADV (Define, Measure, Analyze, Design, Validate) methodology. DMADV is also called DFSS (Design for Six Sigma).

The training is driven on statistical tool – Minitab, which is used by greater than four-fifths of Fortune 100 companies. This goes to say that the opportunities are umpteen for a person with good Minitab working knowledge. We at ExcelR provide you perfect exposure to learn and showcase your skills on not just Lean Six Sigma but also Minitab tutorial.

Having knowledge on Lean Six Sigma as well as statistical tools such as Minitab, SPSS, SAS, R, R Studio, Stata, MATLAB, etc., provides an opportunity to pursue luring jobs with luring salaries. We are committed to always stay on top of the developments in every space of learning to bring you the best from the best trainers in industry.

Things you learn in Lean Six Sigma Green Belt Certification training:

DMAIC methodology & Minitab

Introduction:

1. What is Lean Six Sigma

2. Evolution & history of Six Sigma

3. Type of Six Sigma methodologies

4. Introduction to elementary statistics

5. Various Data Types

6. Case study to understand the basic descriptive statistics

7. Graphical analysis of data – Histogram, Box plot, Normal distribution

8. Probability distribution

9. Different between Sigma & Sigma level

Define Phase:

10. Project identification methods – VoC, VoB, CoPQ (Voice of Customer/Business, Cost of Poor Quality)

11. How to identify & define CTQ (Critical to Quality)

12. Case study to identify CTQs from VoC, VoB, CoPQ

13. How to select a relevant project?

14. Creating project charter

15. Key elements of project charter

16. Prepare process maps – SIPOC (Supplier, Input, Process, Output, Customer)

17. Understand flow chart & FDM (Functional deployment map)

Measure Phase:

18. Central Limit Theorem

19. Operational definition & performance standards of Y (output)

20. Measurement system analysis

21. Attribute Agreement Analysis

22. Performance measurement

23. Sigma Level (Z) for continuous & attribute data

24. Process capability indices – Cp, Cpk

25. Yield – FTY & RTY (First time yield & Rolled throughput yield)

Analyze Phase:

26. Identify all the potential Xs (inputs)

27. Qualitative analysis (Structured brainstorming, Affinity diagram, Fishbone diagram, etc.)

28. Time-based analysis / Process map analysis / Value stream analysis (VA-NVA analysis)

29. Risk-based analysis (FMEA – Failure Modes & Effects Analysis)

30. Graphical analysis (Pareto etc.)

31. Identify only the critical Xs (inputs) – Hypothesis testing (2-sample t test, 2-proportion test, Chi-square test)

32. Scatter diagrams, Correlation analysis (r-value), Regression analysis (R-squared value)

Improve Phase:

33. Identify the alternative solutions using Process Mapping

34. Ideation techniques – De Bono 6 Hat Thinking, Brainstorming, Probing

35. Benchmarking

36. Evaluating the alternative solutions using Pugh matrix, Delphi technique

37. Design of Experiments – Benefits, Factors & Levels

38. Pilot, implement & validate solution

39. Pre vs Post pilot activities

Control Phase:

40. Control the identified critical Xs (inputs) u

41. Control plan & checklist

42. Mistake Proofing, Visual Standards, Inspections/Audits

43. Statistical Process Control (SPC)

44. Control Charts (p, np, c, u, IMR, X-bar R, X-bar S)

45. Record the solution and the benefits association with improvement

46. Handover the improved process to process owner & get sponsor signoff

Why ExcelR?

4 days classroom training or 12 days online training

Mini-tab Training along with Six Sigma training

Top notch faculty from IIM & ISB

Hard Copy Material

Mock exams to get the thoughts ignited throughout the course.

Exam at the end of training