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
Credits: 5 credit per day
Course Mode: full-time
Provider: Blackbird Training Centre
