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Quality Management

Lean Six Sigma Green Belt




Introduction:

The Six Sigma methodology is a systematic application, focused on achieving significant financial results and increasing customer satisfaction. When properly deployed on carefully selected business projects, this methodology can lead to a significant reduction, and in many cases elimination, of defects, process waste and out-of-control processes that translate into dramatic business gains.

 Lean Six Sigma Green Belt course teaches participants the Define, Measure, Analyze, Improve, and Control (DMAIC) methodology. Participants will learn to define improvement projects to satisfy customers and reduce variation. This 'Lean Six Sigma' training course will teach and prepare individuals to implement the principles, practices, and techniques of 'Lean Six Sigma'.

Green belts traditionally lead process stakeholders and may be assigned specific process-level improvement projects that normally do not require the statistical rigor demonstrated by a black belt. 

Targeted Groups:

  • Quality Managers
  • Quality Professionals
  • Individuals from all organization departments including finance, quality, and business operations staff functions
  • Individuals who have direct intervention as process owners or stakeholders.

Course Objectives:

At the end of this course the participants will be able to:

  • Develop the Six Sigma methodology and apply its roadmap
  • Apply the principles of the Six Sigma 'DMAIC' performance improvement model
  • Examine in detail the various elements of building a complete project for improvement
  • Develop statistical hypotheses using simple statistical tools
  • Use quantifiable tools to solve problems related to an improvement project
  • Eliminate waste and defects by applying Lean and Six Sigma
  • Collect, analyze, and quantify data that enable process improvements
  • Employ statistical analysis using statistical tools and software

Targeted Competencies:

  • Applying Six Sigma
  • Understanding Lean
  • Using 5S
  • Using poka-yoke
  • Understanding descriptive statistics
  • Understanding hypothesis testing
  • Understanding measurement system analysis
  • Developing control charts
  • Computing process capability

Course Content:

Unit 1: Six Sigma Overview:

  • History and origins
  • Why Six Sigma?
  • Cost of poor quality
  • Project details

Unit 2: Defining 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

Unit 3: Measuring 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

Unit 4: Analyzing Phase:

  • Introduction and tools
  • Probability and basic statistics
  • Control charts and stability
  • Data normality
  • Process capability, 'Cp' and 'CpK'

Unit 5: Improving Phase:

  • Introduction and tools
  • Piloting and implementation
  • Introduction to lean enterprise
  • Types of waste
  • Lean tools
  • '5S' program
  • Value stream mapping
  • Lean and Kaizen

Unit 6: Controlling Phase:

  • Introduction and tools
  • Statistical process control
  • Standardization and documentation
  • Control plans
  • Mistake proofing

Unit 7: Green Belt Project and Tollgate Review:

  • Project charter submission
  • Tollgate questions
  • Tips and tricks to get your project started