Mastering Lean Six Sigma: Black Belt Certification Program Event, 19.Apr.2026

Course Description

This intensive 10-day Lean Six Sigma Black Belt course equips participants with advanced skills in process improvement, statistical analysis, and project management. Designed for experienced professionals, the program covers complex problem-solving techniques, advanced statistical tools, and leadership strategies essential for driving organizational excellence and leading high-impact projects.

Learning Objectives

• Master advanced statistical tools and techniques for complex process analysis
• Develop expertise in leading large-scale improvement projects across multiple functions
• Enhance strategic thinking and decision-making skills for process optimization
• Gain proficiency in mentoring and coaching Green Belts and project teams
• Learn to align Lean Six Sigma initiatives with organizational goals and strategies

Course Modules

Day 1: Advanced Lean Six Sigma Concepts

• Review of Lean Six Sigma fundamentals
• Advanced DMAIC methodology
• Strategic project selection and scoping
• Change management and leadership principles

Day 2: Advanced Statistical Analysis

• Hypothesis testing and confidence intervals
• Analysis of Variance (ANOVA)
• Multiple regression analysis
• Non-parametric tests

Day 3: Design of Experiments (DOE)

• Full factorial designs
• Fractional factorial designs
• Response surface methodology
• Taguchi methods

Day 4: Advanced Process Capability and Control

• Multivariate process capability analysis
• Short run SPC techniques
• Advanced control charts
• Process capability for non-normal data

Day 5: Lean Methods and Tools

• Value Stream Mapping (VSM) for complex processes
• Theory of Constraints (TOC)
• Advanced pull systems and Kanban
• Lean for non-manufacturing environments

Day 6: Advanced Root Cause Analysis

• Fault Tree Analysis
• Failure Mode and Effects Analysis (FMEA)
• Shainin Red X methodology
• Advanced problem-solving techniques

Day 7: Financial Analysis and Project Management

• Cost-benefit analysis for complex projects
• Risk assessment and mitigation strategies
• Advanced project management techniques
• Stakeholder management and communication

Day 8: Data Mining and Predictive Analytics

• Introduction to data mining techniques
• Predictive modeling
• Machine learning applications in Six Sigma
• Big data analytics for process improvement

Day 9: Design for Six Sigma (DFSS)

• DMADV methodology
• Quality Function Deployment (QFD)
• Robust design principles
• Design for reliability and maintainability

Day 10: Leadership and Deployment Strategies

• Developing a Lean Six Sigma culture
• Coaching and mentoring techniques
• Organizational deployment strategies
• Sustaining improvements and continuous learning

Practical Wins for Participants

• Ability to lead complex, cross-functional improvement projects with significant financial impact
• Enhanced skills in advanced data analysis and strategic decision-making
• Expertise in mentoring and developing Green Belts and project teams
• Capability to align process improvement initiatives with organizational strategy and goals