I-CERT Lean Six Sigma Black Belt Level 2 Certification

Learning Objectives

By the end of this course, learners will be able to:

1. Introduction to Six Sigma

• Understand Six Sigma principles and objectives
• Recognize the strategic role of Six Sigma in organizations
• Identify key benefits and applications of Six Sigma
• Develop a foundation for advanced process improvement

2. Six Sigma History and Practical Applications

• Explore the evolution of Six Sigma methodologies
• Examine real-world applications across industries
• Apply best practices to practical scenarios
• Understand global standards in process improvement

3. Process Improvement and Quality Methodologies

• Apply structured process improvement techniques
• Integrate quality management frameworks
• Identify inefficiencies and optimization opportunities
• Develop measurable performance improvement goals

4. Lean Principles and Concepts

• Understand Lean philosophy and waste elimination
• Apply Lean tools to improve process efficiency
• Enhance value stream flow and operational effectiveness
• Foster continuous improvement culture

5. Core Six Sigma Concepts

• Learn key Six Sigma terminology and metrics
• Understand process variation and capability
• Apply data-driven decision-making
• Establish project objectives aligned with business goals

6. Structured Problem-Solving Approaches

• Apply systematic approaches to problem-solving
• Identify root causes and prioritize solutions
• Develop actionable plans for improvement
• Align solutions with strategic objectives

7. Understanding Business Processes

• Map and analyze business processes
• Identify value-adding and non-value-adding activities
• Improve workflow efficiency
• Align process improvements with organizational goals

8. Quality Fundamentals

• Understand quality management principles
• Implement tools to measure and improve quality
• Monitor process performance
• Support continuous improvement initiatives

9. Project Selection and Prioritization

• Select high-impact Six Sigma projects
• Evaluate potential benefits and risks
• Prioritize initiatives based on organizational objectives
• Ensure alignment with strategic goals

10. Six Sigma Team Roles and Collaboration

• Understand roles within Six Sigma teams
• Facilitate effective collaboration
• Lead cross-functional teams
• Manage stakeholder expectations

11. Introduction to DMAIC and DMADV

• Learn the DMAIC and DMADV frameworks
• Apply structured methodologies to projects
• Identify areas for process improvement
• Enhance problem-solving capabilities

12. Define Phase

• Define project goals and scope
• Identify key stakeholders
• Develop project charters
• Establish measurable objectives

13. Measure Phase

• Implement advanced data collection methods
• Measure process performance accurately
• Identify sources of variation
• Prepare data for analysis

14. Analyze Phase

• Conduct root cause analysis
• Use statistical tools to identify process issues
• Prioritize causes for improvement
• Validate findings with data

15. Improve Phase

• Develop and implement solutions
• Optimize processes using Lean Six Sigma tools
• Test improvements for effectiveness
• Ensure alignment with business objectives

16. Control Phase

• Establish control mechanisms
• Maintain improvements over time
• Monitor performance using control charts
• Sustain process excellence

17. Intermediate Graphical Data Analysis

• Visualize data for insights
• Use graphs to detect trends and patterns
• Support decision-making
• Communicate findings effectively

18. Normal Probability Distributions

• Understand and apply normal distribution concepts
• Analyze process performance data
• Identify deviations from expected outcomes
• Make informed improvement decisions

19. Correlation and Regression Analysis

• Identify relationships between variables
• Apply regression for predictive insights
• Use correlation to guide improvements
• Support data-driven decisions

20. Non-Normal Probability Distributions

• Analyze processes with non-normal data
• Apply appropriate statistical tools
• Identify patterns and risks
• Enhance analytical accuracy

21. Hypothesis Testing Fundamentals

• Formulate hypotheses for process improvement
• Conduct tests to validate assumptions
• Interpret results for decision-making
• Support data-driven solutions

22. Sample Size and Data Reliability

• Determine adequate sample sizes
• Ensure data reliability and accuracy
• Apply statistical principles to projects
• Improve confidence in analysis results

23. Advanced Control Charts

• Monitor processes using control charts
• Detect variations and trends
• Maintain process stability
• Support continuous improvement efforts

24. Applying Statistics to Business Through Six Sigma

• Apply statistical methods to business problems
• Analyze data to support improvement decisions
• Evaluate process performance
• Implement evidence-based solutions

25. Introduction to Minitab

• Use Minitab for data analysis
• Apply statistical tools effectively
• Generate reports and insights
• Enhance analytical skills for projects

26. Graphs and Quality Tools in Minitab

• Create visual representations of data
• Apply quality tools for analysis
• Interpret charts for decision-making
• Support project reporting

27. Statistical Analysis Using the Minitab Stat Menu

• Perform advanced statistical analysis
• Use software tools to support data-driven decisions
• Analyze complex datasets
• Identify actionable insights

28. Analysis of Variance (One-Way ANOVA)

• Conduct ANOVA to compare group differences
• Identify significant process factors
• Apply results to optimize processes
• Support project improvement decisions

29. Design of Experiments (DOE)

• Plan experiments to test process changes
• Identify key variables and their effects
• Analyze results for optimization
• Apply DOE to improvement projects

30. Advanced DOE and Factorial Experiments

• Conduct factorial experiments for multiple variables
• Analyze interactions between factors
• Implement data-driven improvements
• Enhance process design effectiveness

31. Brainstorming and Process Improvement Tools

• Use creative problem-solving techniques
• Identify potential solutions and process improvements
• Prioritize ideas for implementation
• Support team collaboration

32. Process Mapping Techniques

• Map complex processes visually
• Identify bottlenecks and inefficiencies
• Improve workflow and resource utilization
• Align processes with organizational goals

33. Value Stream Mapping

• Apply value stream mapping to optimize processes
• Identify waste and non-value-added activities
• Enhance process flow and efficiency
• Support enterprise-wide Lean initiatives