Green belt six sigma courses in South Africa
Online Video Courses
Learn directly from our very own trainers, who use studio-grade equipment to record modules on our various topics. We use one of the top LMS systems in the world, which allows you to watch the video modules and complete quizzes the whole way through before completing your final exams.
+ 1 year access to course
+ 1 Hour written exam
+ 3 Months to submit project
Session 1:
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Lean Six Sigma Overview
-
Define Phase
-
Six Sigma Project Deployment
-
Process Mapping
-
Cause & Effect Matrix
-
Failure Mode Effect Analysis (FMEA)
-
Basic Statistics
-
Introduction to SigmaXL
-
Basic Quality Tools
-
Introduction to Statistical Process Control
-
Measurement Systems Analysis
-
Capability
-
MultiVari Planning
-
Lean Tools
Session 2:
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Hypothesis Testing
-
Correlation and Regression
-
T-test
-
ANOVA
-
Chi Square Test
-
DOE
-
Mistake Proofing
-
Control Plan
-
Documentation
-
Green Belt Wrap Up Session 2 Comprehensive
+ 1 year access to course
+ 1 Hour written exam
+ 3 Months to submit project
Session 1:
-
Lean Six Sigma Overview
-
Define Phase
-
Six Sigma Project Deployment
-
Process Mapping
-
Cause & Effect Matrix
-
Failure Mode Effect Analysis (FMEA)
-
Basic Statistics
-
Introduction to Minitab
-
Basic Quality Tools
-
Introduction to Statistical Process Control
-
Measurement Systems Analysis
-
Capability
-
MultiVari Planning
-
Lean Tools
-
Green Belt Wrap Up and Action Planning Session
-
1 Comprehensive
Session 2:
-
Hypothesis Testing
-
Correlation and Regression
-
T-test
-
ANOVA
-
Chi Square Test
-
DOE
-
Mistake Proofing
-
Control Plan
-
Documentation
-
Green Belt Wrap Up
-
Session 2 Comprehensive
Virtual Training
Virtual training – 4
Enjoy the benefit of instructor-led virtual training in a classroom-based setting while being taught by professional trainers with years of practical experience. While we normally use Zoom or Microsoft Teams when training when larger groups are involved we can make exceptions to use your preferred software.
+ 5 days of training
+ 1 Hour written exam
+ 3 Months to submit project
Chapter 1: Introduction
- History
- Lean Six Sigma Definitions
- Understanding Six Sigma
- Understanding Lean Principles
- Understanding Losses Attributable to “Waste”
- Interrelationship of Lean Six Sigma
- Six Sigma Fundamentals
- Selection of Projects
Chapter 2: Define
-
Selecting an Output Characteristic (“Y”)
-
Defining Performance Standards
-
Describing the Process
-
Value Stream Mapping
-
Swim Lane Mapping
-
Project Charters
-
Cost of Poor Quality
-
Understanding Basic Statistics
Chapter 3: Measure
-
Process Definition
-
Variable Gage R&R
-
Attribute Agreement Analysis
-
Variables Data Capability Analysis
-
Attribute Data Capability Analysis
-
Process Discovery
-
Six Sigma Statistics
-
Measurement System Analysis
-
Process Capability
Chapter 4: Analyse
-
Identification of Potential Causes
-
Hypothesis Testing
-
Chi-Square & ANOVA
-
Correlation Analysis
-
Regression Analysis
-
Basic Design of Experiments
-
Quick Changeover (SMED)
-
Inferential Statistics
Chapter 5: Improve
-
Regression
-
Establishing Operating Tolerances
-
Re-evaluating the measurement system
-
Total Productive Maintenance
-
Cellular Manufacturing
-
5S – Visual Management
-
Process Modelling Regression
-
Designing Experiments
Chapter 6: Control
- Lean Controls
- Principles of Statistical Process Control
- Process Capability
- Error Proofing
- Reliability & Asset Utilization
- Standardized Work
- Pull Systems
- Understand the 5 phases of the Control Plan
+ 5 days of training
+ 1 Hour written exam
+ 3 Months to submit project
Chapter 1: Executive Summary
Chapter 2: Define
• Project Charter
• Voice of Customer Analysis
• SIPOC
• Process Map
• BRM
Chapter 3: Measure
• Measurement plan / Operational Definition
• Collect Data
• Verify quality of the data / MSA
• Data Analysis (Descriptive Statistics, Control Charts, Capability Analysis /
Calculate Sigma Quality Level)
• Stakeholder and Communication Plans
• Financial Baseline / Potential Benefit
Chapter 4: Analyse
• Fishbone Diagram
• Pareto or Cause & Effect Matrix
• Scatter Diagrams
• Regression
• Root Cause Analysis – 5 Whys
• FMEA
• Problem Statement
Chapter 5: Improve
• Generate Solutions
• Select the best solution/s
• Pilot Study (Descriptive statistics, Control chart, Capability Analysis)
• Implementation plan
• Business Risk Assessment Checkpoint
Chapter 6: Control
• Process Control System
• Project approval documentation
• Accountability acceptance
• Financial benefit
• Transaction checklist
• Replication Opportunities
• Lessons learned
2KO OFFICES
2KO Offices – 7
We offer superior classroom-based training by using trainers who are highly experienced in teaching and practicing the Six Sigma methadology. All trainers are industry experts and take it on themselves to ensure that all their students are successful at completing their courses.
+ 5 days of training
+ 1 Hour written exam
+ 3 Months to submit project
Chapter 1: Introduction
- History
- Lean Six Sigma Definitions
- Understanding Six Sigma
- Understanding Lean Principles
- Understanding Losses Attributable to “Waste”
- Interrelationship of Lean Six Sigma
- Six Sigma Fundamentals
- Selection of Projects
Chapter 2: Define
-
Selecting an Output Characteristic (“Y”)
-
Defining Performance Standards
-
Describing the Process
-
Value Stream Mapping
-
Swim Lane Mapping
-
Project Charters
-
Cost of Poor Quality
-
Understanding Basic Statistics
Chapter 3: Measure
-
Process Definition
-
Variable Gage R&R
-
Attribute Agreement Analysis
-
Variables Data Capability Analysis
-
Attribute Data Capability Analysis
-
Process Discovery
-
Six Sigma Statistics
-
Measurement System Analysis
-
Process Capability
Chapter 4: Analyse
-
Identification of Potential Causes
-
Hypothesis Testing
-
Chi-Square & ANOVA
-
Correlation Analysis
-
Regression Analysis
-
Basic Design of Experiments
-
Quick Changeover (SMED)
-
Inferential Statistics
Chapter 5: Improve
-
Regression
-
Establishing Operating Tolerances
-
Re-evaluating the measurement system
-
Total Productive Maintenance
-
Cellular Manufacturing
-
5S – Visual Management
-
Process Modelling Regression
-
Designing Experiments
Chapter 6: Control
- Lean Controls
- Principles of Statistical Process Control
- Process Capability
- Error Proofing
- Reliability & Asset Utilization
- Standardized Work
- Pull Systems
- Understand the 5 phases of the Control Plan
+ 5 days of training
+ 1 Hour written exam
+ 3 Months to submit project
Chapter 1: Executive Summary
Chapter 2: Define
• Project Charter
• Voice of Customer Analysis
• SIPOC
• Process Map
• BRM
Chapter 3: Measure
• Measurement plan / Operational Definition
• Collect Data
• Verify quality of the data / MSA
• Data Analysis (Descriptive Statistics, Control Charts, Capability Analysis /
Calculate Sigma Quality Level)
• Stakeholder and Communication Plans
• Financial Baseline / Potential Benefit
Chapter 4: Analyse
• Fishbone Diagram
• Pareto or Cause & Effect Matrix
• Scatter Diagrams
• Regression
• Root Cause Analysis – 5 Whys
• FMEA
• Problem Statement
Chapter 5: Improve
• Generate Solutions
• Select the best solution/s
• Pilot Study (Descriptive statistics, Control chart, Capability Analysis)
• Implementation plan
• Business Risk Assessment Checkpoint
Chapter 6: Control
• Process Control System
• Project approval documentation
• Accountability acceptance
• Financial benefit
• Transaction checklist
• Replication Opportunities
• Lessons learned
AT MY COMPANY
At my company – 1
Our on-site training is available on special request and can be organised for our trainers to come and train your staff at your own company facilities.



