
Develop the skills of a Black Belt: become the leader of improvement projects
A Black Belt represents the key figure in supervising, leading and organizing the implementation of Lean Six Sigma. The course aims to train a professional to manage high-complexity business improvement projects through not only advanced statistical and method expertise, but also team management and leadership.
he course includes:
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- 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 relevant to the objectives of the course.

Goals
At the end of the course participants:
- will know how to set up meaningful data collection through the Data Collection Plan
- Will have in-depth knowledge of Lean Six Sigma tools and methodologies
- Will learn how to coordinate and support Teams in managing the projects And in the choice of tools and techniques to be used
- Will learn about project management tools to directly manage the most complex and challenging projects in business optimization
- Will recognize and define Best Practices.
Course Schedule.
Learn about all of the Course Modules here
DEFINE & SOFT SKILLS
- Introduction to the Quality Management: the story - Total Quality Management - Lean - Six Sigma
- Introduction to Six Sigma: DMAIC DFSS (DMADV)
- Introduction to Six Sigma: the structure, roles, key figures
- Defining opportunities: translating customer requests into improvement projects
- Analysis of customer demands and opportunities for improvement: the Kano model and the 10 GAPs
- DFSS as a tool for innovation starting from customer demands
- The QFD: a valuable tool for the DFSS
- Economic techniques and DCF for investment evaluation
- Multiple project management and priority management: a possible model
- Time and Team Management Techniques
- Managing conflict in the group: leadership and motivation
- Project management: process, mapping and rationales
- Effective presentations: the keys to attention and information management
- Performance indicators: choice and the dynamics of opportunism
Case study: VoC of project, DFSS and management of team dynamics in complex projects, inertia to change
MEASURE
- How to set up meaningful data collection
- Recalls to the elements of industrial statistics and statistical modeling
- Statistical thinking, the significance of problem modeling
- The Central Limit Theorem: the key to sampling
- Recalls on Measurement System Analysis and to Gauge R&R
- Gauge R&R by attributes: a practical application
Case study: Operational and economic measurement systems for projects
ANALYSE
- Qualitative and quantitative analysis
- FMEA: structured risk management in the enterprise
- Recall of the Hypothesis Test
- One- and multi-factor ANOVA (analysis of variance) and applications
- Regression model and regression model validation
- Time series analysis and descriptive models
Case study: The choice of analysis tools in decision support, applications of FMEA
IMPROVE
- Recalls to the DoE
- Planning and selection of DoE plans - interpretation of outputs
- Planning and effective use of reduced DoE
- Introduction to Robust Design, Surface Response Methods and EVOP plans
- Revolutionary methods for managing idea generation
Case study: DoE and ANOVA, structured applications of industrial experimentation
CONTROL
- The introduction of standards
- How to monitor performance using Control Cards
- Construction of Control Charts for continuous data
- Construction of Control Charts by Attributes
- The evolution of Control Charters: CUSUM and EWMA
Case study: Control charts and their application evolution - EWMA
Register to download the Lean Six Sigma Master Pathways brochure