Six Sigma Green Belt Training Programme

Enhance your skills and knowledge with our comprehensive Six Sigma Green Belt Training Program.

Category Six Sigma

What you'll learn

The fundamentals of Lean .Six Sigma and its business impact
Understanding DMAIC methodology and key problem-solving tools.
How to identify customer requirements and translate them into Critical-to-Quality (CTQ) factors.
Application of statistical tools, hypothesis testing, and process capability analysis.
Understanding and implementing Lean principles, waste reduction techniques, and Kaizen methodologies.
How to monitor Statistical Process Control (SPC) and ensure process sustainability.

Course Syllabus

Module 1 - Introduction to Lean Six Sigma

a:4:{i:0;s:32:"History & Evolution of Six Sigma";i:1;s:27:"Concept of Six Sigma & Lean";i:2;s:47:"Cost of Poor Quality (COPQ) & Process Variation";i:3;s:33:"Introduction to DMAIC Methodology";}

Module 2 - Define Phase

SIPOC)";i:3;s:38:"Understanding KANO Model & RACI Matrix";i:4;s:28:"Developing a Project Charter";}
a:5:{i:0;s:36:"Identifying Customers & Stakeholders";i:1;s:69:"Establishing Voice of the Customer (VOC) to Critical-to-Quality (CTQ)";i:2;s:41:"Creating Process Maps (Flowcharts

Module 3 - Measure Phase

Median
Mode
Precision & Gage R&R";}
Standard Deviation
Variance)";i:4;s:45:"Normal Distribution Curve & Normality Testing";i:5;s:48:"Introduction to Minitab for Statistical Analysis";i:6;s:27:"Process Capability Analysis";i:7;s:66:"Measurement System Analysis (MSA) - Accuracy
a:8:{i:0;s:27:"Data Types & Classification";i:1;s:31:"Creating a Data Collection Plan";i:2;s:32:"Sampling Strategies & Techniques";i:3;s:81:"Understanding Basic Statistics (Mean

Module 4 - Analyze Phase

Box Plot
Correlation & Regression Analysis)";i:4;s:32:"Understanding Alpha & Beta Risks";i:5;s:68:"Data Visualization - Histogram
Defects Per Unit (DPU)
Dot Plot
Time Series Plot";}
and Defects Per Million Opportunities (DPMO)";i:1;s:29:"Rolled Throughput Yield (RTY)";i:2;s:30:"7 QC Tools for Problem-Solving";i:3;s:62:"Hypothesis Testing (T-Test
a:6:{i:0;s:99:"Defects Per Opportunity (DPO)

Module 5 - Improve Phase

5S (Workplace Organization)
7 Types of Waste & How to Eliminate Them";}
Just-in-Time (JIT) & Takt Time
KANBAN (Visual Workflow Management)
Poka-Yoke (Error Proofing)
a:3:{i:0;s:33:"Developing Improvement Strategies";i:1;s:41:"Failure Modes and Effects Analysis (FMEA)";i:2;s:224:"Implementing Lean Tools: Kaizen (Continuous Improvement)

Module 6 - Control Phase

a:4:{i:0;s:50:"Statistical Process Control (SPC) & Control Charts";i:1;s:48:"Developing a Control Plan to sustain improvement";i:2;s:44:"Cost-Benefit Analysis for Project Validation";i:3;s:46:"Project Closure & Documentation Best Practices";}

Course Syllabus

History & Evolution of Six Sigma
Concept of Six Sigma & Lean
Cost of Poor Quality (COPQ) & Process Variation
Introduction to DMAIC Methodology

Identifying Customers & Stakeholders
Establishing Voice of the Customer (VOC) to Critical-to-Quality (CTQ)
Creating Process Maps (Flowcharts, SIPOC)
Understanding KANO Model & RACI Matrix
Developing a Project Charter

Data Types & Classification
Creating a Data Collection Plan
Sampling Strategies & Techniques
Understanding Basic Statistics (Mean, Median, Mode, Standard Deviation, Variance)
Normal Distribution Curve & Normality Testing
Introduction to Minitab for Statistical Analysis
Process Capability Analysis
Measurement System Analysis (MSA) - Accuracy, Precision & Gage R&R

Defects Per Opportunity (DPO), Defects Per Unit (DPU), and Defects Per Million Opportunities (DPMO)
Rolled Throughput Yield (RTY)
7 QC Tools for Problem-Solving
Hypothesis Testing (T-Test, Correlation & Regression Analysis)
Understanding Alpha & Beta Risks
Data Visualization - Histogram, Dot Plot, Box Plot, Time Series Plot

Developing Improvement Strategies
Failure Modes and Effects Analysis (FMEA)
Implementing Lean Tools: Kaizen (Continuous Improvement), Poka-Yoke (Error Proofing), KANBAN (Visual Workflow Management), 5S (Workplace Organization), Just-in-Time (JIT) & Takt Time, 7 Types of Waste & How to Eliminate Them

Statistical Process Control (SPC) & Control Charts
Developing a Control Plan to sustain improvement
Cost-Benefit Analysis for Project Validation
Project Closure & Documentation Best Practices

Requirements

Good Wifi
Laptop

Description

Six Sigma Green Belt Training Programme

The Six Sigma Green Belt Training provides a comprehensive understanding of Six Sigma tools and methodologies, equipping professionals with the skills to lead process improvement projects effectively. This course follows the DMAIC (Define, Measure, Analyze, Improve, Control) methodology, helping participants understand data-driven decision-making, root cause analysis, and process optimization strategies. Through real-world examples, statistical techniques, and practical case studies, learners will gain expertise in Lean principles, quality tools, hypothesis testing, and Minitab usage. By the end of the course, participants will be prepared to identify inefficiencies, improve processes, reduce costs, and enhance customer satisfaction using Six Sigma methodologies.

The Six Sigma Green Belt Training offers a comprehensive understanding of Six Sigma tools and methodologies, empowering professionals to effectively lead process improvement projects..
This course follows the DMAIC (Define, Measure, Analyze, Improve, Control) methodology, aiding participants in grasping data-driven decision-making, root cause analysis, and process optimization strategies..
This course follows the DMAIC (Define, Measure, Analyze, Improve, Control) methodology, aiding participants in grasping data-driven decision-making, root cause analysis, and process optimization strategies..
This course follows the DMAIC (Define, Measure, Analyze, Improve, Control) methodology, aiding participants in grasping data-driven decision-making, root cause analysis, and process optimization strategies..

Who this course is for:

Professionals working in Quality, Operations, Manufacturing, Process Improvement, or Business Excellence.
Managers and Team Leaders who want to drive data-driven decision-making.
Engineers, Analysts, and Process Owners looking to enhance their problem-solving skills.
MBA graduates, students, and individuals aspiring for careers in Six Sigma, Lean, or Quality Management.
Anyone who wants to gain expertise in Lean Six Sigma methodologies and lead improvement projects.

Meet your instructors

Namita Rani

View Profile

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Course Syllabus

Module 1 - Introduction to Lean Six Sigma

a:4:{i:0;s:32:"History & Evolution of Six Sigma";i:1;s:27:"Concept of Six Sigma & Lean";i:2;s:47:"Cost of Poor Quality (COPQ) & Process Variation";i:3;s:33:"Introduction to DMAIC Methodology";}

Module 2 - Define Phase

SIPOC)";i:3;s:38:"Understanding KANO Model & RACI Matrix";i:4;s:28:"Developing a Project Charter";}
a:5:{i:0;s:36:"Identifying Customers & Stakeholders";i:1;s:69:"Establishing Voice of the Customer (VOC) to Critical-to-Quality (CTQ)";i:2;s:41:"Creating Process Maps (Flowcharts

Module 3 - Measure Phase

Median
Mode
Precision & Gage R&R";}
Standard Deviation
Variance)";i:4;s:45:"Normal Distribution Curve & Normality Testing";i:5;s:48:"Introduction to Minitab for Statistical Analysis";i:6;s:27:"Process Capability Analysis";i:7;s:66:"Measurement System Analysis (MSA) - Accuracy
a:8:{i:0;s:27:"Data Types & Classification";i:1;s:31:"Creating a Data Collection Plan";i:2;s:32:"Sampling Strategies & Techniques";i:3;s:81:"Understanding Basic Statistics (Mean

Module 4 - Analyze Phase

Box Plot
Correlation & Regression Analysis)";i:4;s:32:"Understanding Alpha & Beta Risks";i:5;s:68:"Data Visualization - Histogram
Defects Per Unit (DPU)
Dot Plot
Time Series Plot";}
and Defects Per Million Opportunities (DPMO)";i:1;s:29:"Rolled Throughput Yield (RTY)";i:2;s:30:"7 QC Tools for Problem-Solving";i:3;s:62:"Hypothesis Testing (T-Test
a:6:{i:0;s:99:"Defects Per Opportunity (DPO)

Module 5 - Improve Phase

5S (Workplace Organization)
7 Types of Waste & How to Eliminate Them";}
Just-in-Time (JIT) & Takt Time
KANBAN (Visual Workflow Management)
Poka-Yoke (Error Proofing)
a:3:{i:0;s:33:"Developing Improvement Strategies";i:1;s:41:"Failure Modes and Effects Analysis (FMEA)";i:2;s:224:"Implementing Lean Tools: Kaizen (Continuous Improvement)

Module 6 - Control Phase

a:4:{i:0;s:50:"Statistical Process Control (SPC) & Control Charts";i:1;s:48:"Developing a Control Plan to sustain improvement";i:2;s:44:"Cost-Benefit Analysis for Project Validation";i:3;s:46:"Project Closure & Documentation Best Practices";}

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