
From theory to practice: learn how to use Lean Six Sigma tools to solve real problems
The Lean Six Sigma Green Belt pathway aims to train a operational figure of reference for the implementation of business improvement through the completion of projects and consuing concrete results, with measurable economic impacts and functional for the company's Business.
The course includes:
- Assessment of basic knowledge level
- 80 hours of training divided into 10 days (also usable individually)
- Access to the E-Learning platform to review recordings of training modules available on-demand and download supporting teaching materials
- In-person and streaming Learning By Doing sessions
- Tutoring with support for corporate project work.
Certification of skills includes Final Test and Presentation of a Project Work.

Goals
At the end of the course participants:
- will know the Problem Setting and Problem Solving tools that are most functional for the application cases and know how to use them to achieve the objectives
- Will use statistical methods for data analysis and supporting computer tools to understand and model the problem, identify the root cause, plan and implement the most effective and efficient solutions
- will know how to set up, plan and lead activities, leading Teams and extending relationships with Stakeholders in the implementation of Projects.
The Lean Six Sigma Green Belt path is suitable for corporate figures with adequate seniority (at least 2-3 years) to initiate improvement paths and engage resources in the application of the methodology.
Course Schedule.
Learn about all of the Course Modules here
DEFINE
- Introduction to Quality Management: the history - Total Quality Management - Lean - Six Sigma
- Introduction to Six Sigma: DMAIC DFSS (DMADV)
- Introduction to Six Sigma: the structure, roles, key figures
- From the Voice of the Customer to the Project
- Project Charter: the structure - the Ring
- Introduction to business cost metrics
- CTQ: CTQB, CTQ, CTT ...
- Six Sigma metrics: from % to PPM and DPMO
- Process mapping: VSM, SIPOC, technology diagram
- Stratification as a method of approaching data
- The construction and use of Pareto and Juran logics for Problem Setting.
Case study: Project Charter of projects
MEASURE
- How to set up meaningful data collection: the Data Collection Plan
- The structuring of data and their functional characteristics for monitoring and analyzing phenomena
- Introduction to statistical thinking
- The statistical measures of centrality and dispersion representative of probability distributions
- Effective representation of data
- Introduction to normal and statistical populations
- Process Capability
Case study: Capability
ANALYSE
- Qualitative and quantitative analysis
- Tools for analysis: cause-and-effect diagram (Ishikawa and C&E Matrix)
- Search for causes: 5W, 4W+H
- The tools for quantitative analysis: contingency tables
- The tools for quantitative analysis: hypothesis testing
- Correlation and linear regression models
Case study: The choice of tools by analysis
IMPROVE
- How to generate intervention solutions: the DoE
- The use of DoE as an industrial experimental planning system
- The construction of complete DoE plans and notes on the construction of reduced plans
- Alternative solution generation systems: introduction to divergent and convergent thinking methodologies
- Introduction to De Bono's Lateral Thinking
- Solution ranking and selection
Case study: Capability
CONTROL
- The importance of the Control phase
- Introduction to Control Cards
- Control plans and response plans
- Introduction to Statistical Process Control
- Control Cards: introduction to types for variable data and attributes and their characteristics
- Construction of Control Charts for continuous data
Case study: Cards of Check for data continue
Register to download the Lean Six Sigma Master Pathways brochure