Black Belt Lean Six Sigma
The program prepares professionals to achieve high levels of operational performance and drive sustainable improvement across functions and industries.
Learning Objectives
Lean Practitioner Module (Days 1-2)
- Understand the philosophy, tools, and principles of Lean Management
- Assess operational performance, capacity, and resource losses
- Create and analyze process maps based on field observations
- Improve operational processes using Lean problem-solving methods
- Develop performance management routines and lead improvement workshops
Six Sigma Yellow Belt Module (Days 3-4)
- Understand the foundations of Lean Six Sigma and the DMAIC framework
- Identify the type of operational problem using the LSSx.0 typology and select the appropriate improvement trajectory
- Define relevant quality criteria based on customer expectations
- Identify root causes and evaluate potential improvement solutions
- Lead a DMAIC project addressing a simple operational problem
Six Sigma Green Belt Module (Days 5-7)
- Define project metrics and structure robust data collection plans
- Validate measurement systems to ensure reliable data
- Identify and quantify root causes through statistical analysis
- Develop statistical process monitoring systems
- Lead a DMAIC project addressing complex operational problems
Six Sigma Black Belt Module (Days 8-10)
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Validate and improve the precision and accuracy of measurement systems to ensure high-quality data
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Assess data distribution and select appropriate inferential statistical methods
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Apply hypothesis testing and linear regression to identify and quantify non-quality factors
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Design and conduct factorial Design of Experiments (DoE) to evaluate process parameter impact
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Optimize process performance by analyzing experimental results and defining optimal operating conditions
Training Program
Lean Practitioner Module (Days 1-2)
Lean Foundations
- Principles and positioning of Lean Management
- Continuous improvement and Kaizen approach
Process and Flow Analysis
- Process and flow analysis (cycle time, takt time, bottlenecks)
- Work-in-progress, lead time, and Little’s Law
- Value Stream Mapping (VSM) and rhythm diagrams
Operational Improvement
- Waste elimination and value-added analysis
- Flow optimization and line balancing
- Pull systems and production control (kanban, continuous flow)
Lean Practices and Performance
- Visual management and Lean practices (5S, poka-yoke, SMED)
- Operational performance and efficiency indicators (OPE, FPY, RTY)
Six Sigma Yellow Belt Module (Days 3-4)
Lean Six Sigma Foundations
- Principles and positioning of Lean Six Sigma
- LSSx.0 problem typology and selection of the appropriate improvement trajectory
Problem Structuring
- Project definition and SIPOC process mapping
- Voice of the Customer and Critical-to-Satisfaction
Problem Analysis
- Problem metrics and measurement planning
- Root cause analysis using Pareto and Five Whys
Solution & Performance Management
- Solution identification and evaluation
- Performance monitoring and response plan
Six Sigma Green Belt Module (Days 5-7)
Statistical Problem Solving
- Application of the MAIC method to solve complex statistical problems
- Project metrics definition and structured data collection
Measurement System & Process Analysis
- Measurement system validation (Gauge R&R, linearity, bias)
- Process capability analysis and Voice of the Process
Statistical Analysis
- Process analysis using Y = f(X) logic and Ishikawa diagram
- Graphical data analysis, correlation, and confidence intervals
Improvement Validation & Control
- Statistical validation of improvements
- Statistical Process Control (SPC) and control charts
Six Sigma Black Belt Module (Days 8-10)
Measurement System Analysis
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Measurement system analysis (MSA)
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Concordance analysis (Kappa, Kendall)
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Gauge R&R using the ANOVA method
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Measurement system linearity and bias studies
Statistical Inference
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Introduction to hypothesis testing
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Normality testing
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Equality of variances tests
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Influence on central tendency (ANOVA, Mood’s median test, Kruskal–Wallis test)
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Chi-square association test
Correlation and Regression
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Pearson correlation analysis
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Simple and multiple linear regression
Design of Experiments (DoE)
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Design of Experiments fundamentals
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Two-level factorial designs
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Experiment resolution and number of repetitions
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Experiment execution
Optimization
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Analysis of main effects and interaction effects
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Pareto of effects
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Response surface methodology
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Response optimizer
Target Audience
All sectors (industry and services)
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Project managers and consultants (internal or external) in organization, quality, continuous improvement, or operational excellence
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Operations managers and production managers
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Supply chain and logistics managers
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Quality managers and quality engineers
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Process engineers and continuous improvement specialists
No prerequisites required.
Learning Experience
Experiential & Inductive Pedagogy
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Kaizen-based role-playing simulation of a cross-functional business process (order reception, production, invoicing, shipping)
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DMAIC case study used as a structured guiding thread throughout the training
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Statistical problem-solving applied to complex and “discernible” improvement cases
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In-class Design of Experiments (DoE) simulations to optimize system parameters (paper flying machines case)
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Process capability analysis applied to real production cases (screw manufacturing and printing processes)
Interactive Learning Environment
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Small groups (maximum 12 participants) to foster interaction, idea-sharing, and peer learning
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Active participation through practical exercises and collaborative problem solving
Tools & Materials
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Statistical software: JASP, Statoscopex, and Minitab
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Excel-based statistical calculators and analytical models
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Training materials provided in PDF format
Reference books :
- LSSx.0 – 1. Flow Problems and Lean Management
- LSSx.0 – 2. Discernible Problems and Methodological Foundation
- LSSx.0 – 3. The Statoscope: Resolving Indiscernible and Related Statistical Problems
Assessment
Self-assessment and practice tests at the end of each module
Certification
The LSSx.0™ Lean Six Sigma Black Belt certification is awarded upon successful completion of two separate examinations:
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Lean Management Examination
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Six Sigma Black Belt Examination
Both exams validate knowledge aligned with the LSSx.0™ body of knowledge, ensuring participants can lead statistically complex improvement projects and drive high-performance operational outcomes.
Examination Format
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Online, closed-book exams with remote video monitoring
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Lean Practitioner Examination : 25 multiple-choice questions – 50 minutes
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Six Sigma Black Belt Examination : 45 multiple-choice questions – 90 minutes
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Language: French or English
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Exams must be completed within six months of training
Passing Criteria
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Minimum score: 60% per exam
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One retake per exam included in case of failure
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Additional attempts available upon purchase of a new exam
Pricing
Remote
In-Person
- Small group sessions (maximum 12 participants).
- Interactive learning approach with exercises, case studies, and serious games.
- Complete training kit included (manuals and materials).
- Session recordings available for remote participants for review and reinforcement.
- Official LSSx.0 reference books included.
- Recognized LSSx.0™ Lean Six Sigma Black Belt certification.
