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What is Six Sigma?

Six Sigma is a method that provides organizations tools to improve the capability of their business processes. This increase in performance and decrease in process variation lead to defect reduction and improvement in profits, employee morale, and quality of products or services. Six Sigma quality is a term generally used to indicate a process is well controlled.

Lean and Six Sigma are process improvement approaches where Lean focuses on reducing waste and delivering value for the customer and Six Sigma focuses on reducing variation and eliminating defects.

Who should enroll? 

Six Sigma Certification can be done by anyone, from any domain, only prerequisites is to have basic knowledge of English. To get a six sigma certification, one has to find a mentor or six sigma training institute, wherein one can learn six sigma methods and fundamentals and complete project work.

Course Outcome or Course Benefits 

After obtaining the Green Belt certification, you can choose to use this certification for the attainment of a role within a business as a Six Sigma Green Belt, leading Quality Improvement Project teams

Learning Six Sigma methodologies can help impact your career. The ability to add Six Sigma Certification to your resume proves your commitment to improving your business acumen, analytical skills, and work output. 

 Course Structure 

  1. Six Sigma overview
    • History and origins
    • Why Six Sigma?
    • Cost of poor quality
    • Project details
  2. Define phase: tools and methods
    • Charter the improvement project
    • Define the scope
    • Six Sigma project definition
    • Project selection process
    • Voice of Customer (VOC) and Critical to Quality (CTQ)
    • Kano model analysis
    • Team development phases
    • Communication plan
    • Project planning and management
  3. Measure phase: introduction and tools
    • Types of data
    • Computing ‘DPMO’ and sigma levels
    • Process mapping
    • ‘FMEAs’ and cause and effect
    • Graphical analysis
    • Analysis of Variance (ANOVA) and multi-plot diagrams
    • Chi-square analysis
    • Histograms
    • Measurement systems analysis: gauge R&R
    • Sampling techniques
    • Introduction to Minitab and ‘QIMacro’ software
  4. Analyze phase: introduction and tools
    • Probability and basic statistics
    • Control charts and stability
    • Data normality
    • Process capability, ‘Cp’ and ‘CpK’
  5. Improve phase: introduction and tools
    • Piloting and implementation
    • Introduction to lean enterprise
    • Types of waste
    • Lean tools
    • ‘5S’ program
    • Value stream mapping
    • Lean and Kaizen
  6. Control phase: introduction and tools
    • Statistical process control
    • Standardization and documentation
    • Control plans
    • Mistake proofing
  7. Green belt project and tollgate review
    • Project charter submission
    • Tollgate questions
    • Tips and tricks to get your project started