Lean Six Sigma Green Belt Course (Online)

About Course
This intensive three-day Lean Six Sigma Green Belt course is designed for professionals who are looking to gain deep insights and skills in process improvement, waste reduction, and quality enhancement using the Lean Six Sigma methodology. Through a blend of theoretical knowledge, practical application, and advanced statistical analysis, participants will be equipped to lead and contribute significantly to Lean Six Sigma projects within their organizations.
Part 1: Foundation and Define Phase
- Introduction to Lean Six Sigma
- History and integration of Lean and Six Sigma.
- Lean Six Sigma organization structure and roles.
- Lean Principles
- Value, value stream, flow, pull, and perfection.
- Introduction to Lean tools: 5S, Kaizen, Poka-Yoke, and Kanban.
- Six Sigma Principles and Improvement Methodologies
- Overview of DMAIC and DMADV methodologies.
- 3cs, 8Ds, PDCA, Kaizen
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Descriptive Statistics
- Mean, Median, Mode: Central tendency measures that summarize the center point of a data set.
- Range, Variance, Standard Deviation: Measures of dispersion or variability within a data set.
- Quartiles and Percentiles: Useful for understanding the distribution and spread of data.
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Process Capability Analysis
- Cp, Cpk: Process capability indices that measure the ability of a process to produce output within specification limits.
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- t-tests (one-sample, two-sample): Determine if there are statistically significant differences between means.
- Chi-square tests: Used for testing relationships between categorical variables.Hypothesis Testing
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ANOVA (Analysis of Variance): Tests differences between means of three or more groups
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Correlation and Regression Analysis
- Pearson correlation: Measures the linear relationship between two continuous variables.
- Simple linear regression: Determines the linear relationship between an independent variable and a dependent variable, useful for predicting outcomes.
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Control Charts
- X-bar and R charts, p-charts, and u-charts: Monitor process stability and variability over time.
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Pareto Analysis
- 80/20 rule: Identifies the most significant factors contributing to an effect.
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Failure Modes and Effects Analysis (FMEA)
- Risk Priority Number (RPN): Quantitative measure to prioritize potential failure modes based on severity, occurrence, and detection.
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Design of Experiments (DOE)
- Factorial designs, Taguchi methods: Systematic methods to determine the effect of multiple factors on a process outcome.
- Define Phase
- Project selection criteria and charter development.
- Voice of the Customer (VOC) and translating VOC into Critical To Quality (CTQ) characteristics.
- Introduction to process mapping and SIPOC analysis.
Part 2: Measure and Analyze Phases
- Measure Phase
- Data collection strategies and measurement scales.
- Statistical tools for data analysis: Descriptive statistics, normality testing.
- Introduction to Minitab or equivalent statistical software.
- Analyze Phase
- Root cause analysis techniques: 5 Whys, Fishbone diagrams.
- Failure Modes and Effects Analysis (FMEA).
- Basic statistical analysis: Hypothesis testing, correlation, and regression analysis.
Part 3: Improve, Control Phases, and Advanced Topics
- Improve Phase
- Solution generation and prioritization.
- Design of Experiments (DOE) and piloting solutions.
- Control Phase
- Developing control plans and using SPC charts.
- Best practices for documenting and handing off improved processes.
- Advanced Topics
- Change management: Strategies for leading change and securing stakeholder engagement.
- Advanced statistical analysis: ANOVA, chi-square tests.
- Soft skills for Green Belts: Effective communication, leadership, and team dynamics.
- Review and Certification Exam Preparation
- Recap of key concepts and tools.
- Tips and strategies for passing the Lean Six Sigma Green Belt certification exam.
Certification
Upon completion of the course and passing the certification exam, participants will receive a Lean Six Sigma Green Belt certification, acknowledging their ability to lead improvement projects and contribute to organizational success using Lean Six Sigma methodologies.
This comprehensive Lean Six Sigma Green Belt course is designed to provide participants with the knowledge, tools, and skills required to make significant improvements in their organizations. Through a mix of lectures, practical exercises, and case studies, participants will leave the course ready to tackle complex challenges and lead successful improvement projects.