Course details

A Lean Six Sigma Green Belt possesses a thorough understanding of all aspects within the phases of Define, Measure, Analyse, Improve and Control. They understand how to perform and interpret Six Sigma tools and how to use standard principles of Lean.

Day 1: Fundamentals of Six Sigma

  • Describe Six Sigma
  • Identify Organisational Drivers and Metrics
  • Goals and Projects
  • Lean Principles, Concepts and Tools Non-Value-Added Activities
  • Theory of Constraints
  • Design for Six Sigma (DFSS)
  • Quality Function Deployment (QFD)
  • Design FMEA and Process FMEA

Conducting Six Sigma Define Phase

  • Identify Six Sigma Projects
  • Sources of Projects
  • Project Selection Criteria
  • Selection of Six Sigma Projects Project Charters
  • Identify Stakeholders and Process Owners
  • Translate Customer Requirements, Requirements Statements CTQ Attributes
  • Project Scope Statements
  • Project Metrics, Risk Analysis
  • Project Closure Process
  • Case Study

Day 2: Conducting Six Sigma Measure Phase

  • Types of Measures
  • Measurement Data Types
  • Descriptive vs. Inferential Statistics
  • Basics of Probability and Statistics
  • Probability Distribution Measurements
  • Central Tendency Measures
  • Dispersion Measures
  • Population Parameters vs. Sample Statistics
  • Sampling Plan
  • Data Collection Plan
  • Measure Tools - Process Maps, Pareto Charts, Cause-and-Effect
  • Diagrams
  • Histograms
  • Control Charts
  • Cost of Poor Quality
  • Probability Distributions – Normal, Binomial, Exponential, HyperGeometric
  • Measurement System Analysis - Gauge R & R
  • Process Capability Studies
  • Case Study

Day 3: Conducting Six Sigma Analyse Phase

  • Process Analysis
  • Value-Added vs. Non-Value-Added Activities
  • Multi-Vari Studies
  • Hypothesis Testing – t, Chi, F, Paired tests
  • One-way ANOVA
  • Scatter Plots
  • Correlation Coefficient
  • Regression Analysis - Simple Linear Regression, Multiple Regression
  • Case Study

Conducting Six Sigma Improve Phase

  • Perform Design of Experiments – Factors, Levels, Treatments, Response
  • Interpret Main Effects and Interaction Plots
  • Generate Ideas for Solutions
  • Pilot Experiments
  • Case Study

Day 4: Conducting Six Sigma Control Phase

  • Control Charts - CommonCauses, Special Causes, Types of Control Charts, Control Statistical Process Control
  • Create Control Charts - X-bar/R Charts, S Charts, I-MR Charts, Median Charts, p-Charts, npCharts, c-Charts, u-Charts
  • Interpretation of Results of Control Charts, Control Charts Application 
  • Implement and Validate Solutions Case Study
  • Six Sigma Project Closure

Day 5: Advanced Lean Concepts and Six Sigma Methods

  • Testing Non-Normal Data : Mann-Whitney, Kruskal-Wallis, Mood’s Median, Friedman, 1 Sample Sign, 1 Sample Wilcoxon tests
  • Lean Thinking
  • Lean in Service
  • Lean in Manufacturing
  • Design for Lean Six Sigma

Who should attend

Managers, Business/Systems Analysts, Systems Engineers, Production Support Personnel, Operations Control, Sales/Marketing Professionals, Finance Executives, Management Trainees and Fresh Graduates.

Updated on 21 March, 2018

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