15 Topics
5 Days
75 Sessions
Programme Overview
Training Description
Who Should Attend
- Supply Chain Managers
- Production Managers
- Engineering Professionals
- Finance and Administration Managers
- Healthcare Managers
- IT Service Managers
- Risk Management Professionals
- Internal Auditors
- Consultants
- Team Leaders and Supervisors
- Department Heads
- Professionals leading improvement initiatives
Session Objectives
- Understand the core principles of Lean Six Sigma
- Master the DMAIC methodology for process improvement
- Learn to define a project, scope, and team roles
- Discover how to collect and analyze process data
- Identify and eliminate root causes of defects
- Implement effective solutions and controls
- Utilize key Lean tools to reduce waste and cycle time
- Apply statistical analysis for data-driven decisions
- Understand the role of a Green Belt in a project
- Prepare for and pass the Lean Six Sigma Green Belt certification exam
About the Course
The Unlocking Operational Excellence: Lean Six Sigma Green Belt Training Course equips professionals with the knowledge, tools, and methodologies required to improve processes, eliminate waste, reduce defects, and drive measurable operational improvements within organizations. Combining the efficiency principles of Lean Management with the data-driven problem-solving approach of Six Sigma, this training enables participants to lead improvement initiatives and deliver sustainable business results.
Through practical exercises, case studies, and project-based learning, participants will gain hands-on experience applying Lean Six Sigma tools to improve operational performance across different sectors, including manufacturing, healthcare, finance, government, and service industries.
Curriculum & Topics
15 Topics | 75 Sessions
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Workshop 1.1:
The history and philosophy of Lean Six Sigma
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Workshop 1.2:
Understanding the role of a Green Belt
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Workshop 1.3:
The business case for process improvement
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Workshop 1.4:
The Lean and Six Sigma relationship
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Workshop 1.5:
Key terminology and metrics
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Workshop 2.1:
How to define a problem and project scope
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Workshop 2.2:
Creating a project charter
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Workshop 2.3:
Identifying key stakeholders and their roles
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Workshop 2.4:
Voice of the Customer (VOC) and CTQs
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Workshop 2.5:
Process mapping and SIPOC diagrams
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Workshop 3.1:
Fundamentals of data collection
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Workshop 3.2:
Data types and measurement scales
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Workshop 3.3:
Sampling techniques and plans
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Workshop 3.4:
Introduction to statistical process control
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Workshop 3.5:
Measurement System Analysis (MSA)
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Workshop 4.1:
Building and interpreting control charts
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Workshop 4.2:
Calculating process capability (Cp, Cpk)
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Workshop 4.3:
Process performance metrics
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Workshop 4.4:
Baselines and performance dashboards
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Workshop 4.5:
Visualizing data with graphs and charts
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Workshop 5.1:
Identifying potential root causes
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Workshop 5.2:
Brainstorming techniques like Ishikawa diagrams
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Workshop 5.3:
Failure Mode and Effects Analysis (FMEA)
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Workshop 5.4:
Hypothesis testing and p-values
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Workshop 5.5:
The importance of correlation versus causation
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Workshop 6.1:
Introduction to statistical software
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Workshop 6.2:
Regression analysis
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Workshop 6.3:
Analysis of Variance (ANOVA)
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Workshop 6.4:
Using scatter plots and histograms to analyze data
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Workshop 6.5:
Identifying waste in a process
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Workshop 7.1:
Generating creative and practical solutions
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Workshop 7.2:
Selecting and prioritizing solutions
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Workshop 7.3:
Piloting and testing solutions
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Workshop 7.4:
Developing a solution implementation plan
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Workshop 7.5:
The role of Lean tools like Kaizen
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Workshop 8.1:
The importance of Standard Work
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Workshop 8.2:
5S methodology for workplace organization
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Workshop 8.3:
Mistake proofing (Poka-Yoke)
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Workshop 8.4:
Visual management systems
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Workshop 8.5:
The Lean principle of Pull
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Workshop 9.1:
Creating a control plan
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Workshop 9.2:
Implementing standard operating procedures
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Workshop 9.3:
The importance of a documentation system
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Workshop 9.4:
Training team members on new processes
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Workshop 9.5:
Transitioning the project to the process owner
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Workshop 10.1:
Sustaining gains and preventing regression
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Workshop 10.2:
Monitoring and audit plans
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Workshop 10.3:
The role of continuous improvement
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Workshop 10.4:
Lessons learned and best practices
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Workshop 10.5:
Closing out the project charter
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Workshop 11.1:
The role of the Green Belt as a project leader
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Workshop 11.2:
Facilitating effective team meetings
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Workshop 11.3:
Conflict resolution and communication
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Workshop 11.4:
Stakeholder management and engagement
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Workshop 11.5:
Building a project team charter
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Workshop 12.1:
T-tests for comparing means
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Workshop 12.2:
Non-parametric tests
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Workshop 12.3:
Statistical software applications
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Workshop 12.4:
Introduction to Design of Experiments (DOE)
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Workshop 12.5:
The importance of using the right tool for the job
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Workshop 13.1:
The 8 Wastes of Lean
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Workshop 13.2:
Value Stream Mapping (VSM)
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Workshop 13.3:
Just-in-Time (JIT) and Kanban systems
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Workshop 13.4:
The concept of flow
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Workshop 13.5:
The role of Lean in a service environment
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Workshop 14.1:
Understanding the human side of change
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Workshop 14.2:
Creating a sense of urgency
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Workshop 14.3:
Communicating the vision for change
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Workshop 14.4:
Managing resistance to change
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Workshop 14.5:
Sustaining the momentum of improvement
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Workshop 15.1:
A comprehensive, simulated project from start to finish
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Workshop 15.2:
Applying DMAIC in a realistic scenario
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Workshop 15.3:
Using the tools and techniques learned
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Workshop 15.4:
Hands-on practice with data collection and analysis
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Workshop 15.5:
Presentation of project results
