What is Six Sigma?

1. A Science
2. A Statistical Measure.
3. A set of Process Improvement Tools, Strategies & Framework.
4. That Seeks to Improve Quality of Process outputs.
5. By removing the causes of defects & errors and minimizing variability in a process.

What is Lean?

“ …a way to do more and more with less and less

– less human effort, less equipment, less time, and less space

– while coming closer to providing customers with exactly what they want”

A way to create new work rather than simply destroying jobs in the name of efficiency.

What makes Six Sigma Work?

1. Select and work on the most important problems and projects to the business and Customer
2. Assure those projects impact customer satisfaction and financial performance
3. Allocate the time to get the work done
4. Have your best people work on them
5. Provide those individuals with all the training, tools, and resources they need to make the performance breakthrough
6. Provide Management direction, support and routine review of performance
7. Require a well thought out, objective and data driven solution
8. Verify the dollar savings of your efforts
9. Sustain the benefits of the s0olution over

What makes Six Sigma fail?

1. 1. Lack of visible senior leader sponsorship
   2. Lack of alignment to a clear organizational strategy
   3. Lack of performance tracking and accountability
   4. Failure to link projects to bottom-line impact
   5. Insufficient or ineffective allocation of human resources
   6. Over-emphasis on rigid approach and technical

Training Outline

Day 1- Introduction, Define Phase

1.  Six Sigma Overview:
   1. History &Benefits
   2. Applications
   3. Roles and Responsibilities
2. Introduction to DMAIC methodology
3. Lean Overview: History, Concept
4. Quality Concept / History
5. Define Phase Deliverables
6. Understanding customer needs: VOC, CTQ concepts
7. Develop y=f(x) equation
8. SIPOC analysis
9. Project Selection parameters and tools
10. Project Charter
11. Team formation, Communication plan, benefits.
12. Introduction to Statistics : Inferential and Descriptive Statistics
13. Mock Case Study (Define)

Day 2- Measure & Analyse Phase

1. 1. Measure Phase Deliverables
   2. · What is a Process ? Process Mapping tools
   3. · Data collection, baseline data
   4. · Variation and measurement tools – Sigma level calculations
   5. · Measurement System Analysis
   6. · Process Capability study
   7. · Applications of MSA and Capability studies
   8. · Analyze phase Deliverables
   9. · Identify sources of Variation
   10. · Cause and effect analysis, 5 Why analysis
   11. · Statistical analysis
       1. Minitab overview & download
       2. Population and Sampling
       3. Hypothesis testing
       4. T-test, ANOVA test, Chi Square test
       5. Correlation, Regression

Day 3- : Improve & Control Phase

1. Improve phase deliverables
2. Develop potential solutions
3. Validate by pilot implementation
4. Lean Tools:
   1. 5S
   2. Poka Yoke
   3. Value Stream Mapping
   4. Jidoka
   5. Continuous improvement
5. Types of Waste and Management – Value stream example
6. FMEA
7. Control Phase Deliverables and overview
8. Statistical Process Control
9. Variable & Attribute control chart
10. Document Control measures
11. Evaluation Questions
12. Mock Case Study – Improve, Control phase.
13. Wrap-up

Brochure

Download Lean Six Sigma Green Belt®  Brochure

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