Lean Six Sigma - course details

Yellow Belt

Day 1 & 2

An overview of Lean

  • Analysis of Lean procedure
  • Describing customer values, mapping values streams and flow
  • Defining pull and seek perfections

The summary of Six Sigma

  • Introducing Six Sigma
  • Process of Six Sigma (Define, Measure, Analyse, Improve and Control)

An introduction to Lean Six Sigma

  • The study of Lean Six Sigma
  • Differentiate between Lean and Six Sigma
  • The necessity of Lean Six Sigma concept
  • The management idea of Lean Six Sigma
  • The roles and steps of Lean Six Sigma
  • The procedures of Six Sigma
  • The idea of active teams

Study of Phases

  • What are problem statements?
  •  Learning objectives
  • Analysis of Voice of the Customer (VOC)
  • Identifying Kano
  • Working on Lean Six Sigma Projects
  • evaluating critical to quality
  • The various kinds of phases

Measure Phase

  • The summary of Measure Phase
  • Estimating challenges
  • Strategies for process performance
  • Study of process mapping
  • Planning of value stream

Analyse Phase

  • Exploration of exploratory data
  • An overview of cost analysis
  • Types of waste
  • The 5 Why’s of Root Cause Analysis and the Ishikawa diagrams

Improve Phase

  • Choice of improvement solutions
  • Study of Ease and Effect matrix
  • An overview of risk management

Control Phase

  • Development maintenance
  • The ongoing cycle of measuring
  • An Introduction to Statistical Process Control


  • The examples of Yellow Belt improvement

Green Belt

Day 3,4 & 5

Six Sigma and Organisational Goals

  • An Introduction
  • Six Sigma and Organisational Goals
  • Lean Principles
  • Design for Six Sigma Methodologies

Define Phase

  • An Introduction
  • Project Identification
  • Voice of Customer
  • Basics of Project Management
  • Management and Planning Tools
  • Business Results for Projects
  • Team Dynamics and Performance

Measure Phase

  • Introduction to Measure Phase
  • Process Analysis and Documentation (Create)
  • Probability and Statistics
  • Collecting and Summarizing Data
  • Statistical Distributions
  • Measurement System Analysis
  • Process and Performance Capability

Analyse Phase

  • Introducing the Analyse Phase
  • Hypothesis Testing
  • Exploratory Data Analysis

Improve Phase

  • Introduction to the Improve Phase
  • Design of Experiments
  • Root Cause Analysis
  • Lean Tools
  • Selecting a Solution

Control Phase

  • Introducing the Control Phase
  • Statistical Process Control
  • Control Plan
  • Lean Tools for Process Control

Tips and Tricks

  • Exam Tips
  • ASQ Exams
  • IASSC Exam

Black Belt Upgrade

Days 6 - 10

Section 1

  • Quick review of Lean Six Sigma Green Belt
  • Project Charters or Workshop
  • Jobs to be Done
  • Expectations on results
  • What is Minitab?
  • Basic Statistics 2
  • Project Report Outs
  • Daily Tech backs
  • Define Change Management
  • Exercise based on Value Stream Mapping
  • Project Management
  • Measurement System Analysis
    • Attribute Agreement Analysis
    • Continuous Data
  • Capability Analysis
    • Attribute Data
    • Continuous Normal Data
    • Continuous Non-normal D

Section 2

  • Reviews of Project
  • Review of Assumption Testing
  • Methods and Techniques of Minitab Graphical
  • Flow Review
  • Central Limit Theorem
  • Confidence Intervals
  • Pull Review
  • Mean & Variance Tests
  • Proportions Testing
  • Contingency Tables GOF
  • Sample Size Selection
  • Correlation/Linear Regression
  • One Way ANOVA
  • Improving Phase Roadmap
  • Getting Familiar With Design of Experiments (DOE)
  • Full Factorial Designs
  • 2K Factorial Designs
  • Attribute DOE
  • Project Reviews

Section 3

  • 2K Fractional DOE Designs
  • Simulation Exercise DMAIC / DOE
  • Logistic Regression – An Introduction
  • Advanced Regression
  • Introduction to Control Charts
  • Variable SPC Techniques
  • Attribute SPC Techniques
  • Control Methods
  • Introducing  Surveys

DMAIC Review & Final Reports

Delegates will become aware of DMAIC and DMADV models. 

DMAIC is a cycle that depicts what happens following changes to a process. DMAIC stands for:

  • Define - the process and problem
  • Measure - the process' current performance
  • Analyse - the process for issues and root cause
  • Improve - determine and apply improvements
  • Control - sustain the improvements


DMADV is the method used for development of existing products. DMADV refers to:

Define - the project purpose and problems, and customer requirements to outline project objectives

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