The Green Belt course aims at developing delegates into team leaders and problem-solvers who can regularly improve processes within their local areas and functions.
Following the disciplined DMAIC (Define-Measure-Analyze-Improve-Control) roadmap, delegates learn to collect and analyze performance data, identify inefficiencies and problems, pinpoint the root causes of those problems and institute new protocols to greatly improve processes. They also obtain skills in leading teams through the process of change.
The course is practical and demystifies all the terminology normally associated with Lean Six Sigma. Delegates will have hands-on application of some LSS tools and methodologies using case studies. This course includes the Yellow Belt program as its first module and goes on to cover the majority of statistical tools and advanced lean methodologies needed for DMAIC projects. This program has proven to be very popular, as it is ideal for Lean Six Sigma project team leaders and team members who need to be able to apply a wide range of tools on real life projects. This course includes comprehensive training and use of Minitab™ Statistical Software.
- Anyone who needs a thorough understanding of what Lean Six Sigma is, and how it works in practice without yet requiring the more advanced tools.
- Members of project teams, project sponsors or those who need to learn about the everyday tools of Six Sigma and Lean.
- Leaders considering embarking on a Lean and/or Six Sigma strategy
- Departments or organizations that have been charged with implementation but do not have a good understanding of Lean and/or Six Sigma
- Managers concerned with the status quo and interested in investigating options for productivity improvement, performance enhancement and organizational change.
- This program is also great as a primer for potentially every employee in the organization to understand the LSS methodology that their company is embarking on.
Upon completion of this course, participants will be able to:
- Define, design and execute DMAIC projects and Kaizen events.
- Apply such Lean concepts as 5S, waste reduction, mistake proofing and value stream mapping.
- Formulate basic statistical analyses to determine the relationship between key inputs and process outputs.
- Apply DMAIC to solve business issues and transition projects from phase to phase.
- Effectively manage team dynamics and recognize how to work with leadership.
- Prepare and present project reports and presentations to instructors, peers and management.
- Be equipped to successfully manage change to improve processes within their local areas and functions.
Day 1_AM – PM – Improve: Future State Value Stream Mapping
- Lean Value Stream Concepts
- Creating a Future State VSM
- Creating Pull
- Heijunka- Leveled Scheduling
- Pacemaker Loops
- Yamazumi Boards
- Analysing the Lean VSM
- Creating the Future State
- Achieving The Future State
- Benefits of the FSM
- Kaizen Workshops
Day 2_AM – Measure: Basic Statistics and Sampling and Intro to Minitab
- Review of Basic Statistics
- Descriptive Statistics: Meaures of Central Tendency: Mean, Mode and Median
- Descriptive Statistics: Meaures of Variability: Range, Variance, Standard Deviation
- The Normal Curve
- Statistical Sampling
- Minitab: an Introduction
Day 2_PM – Measure: Probability
- Basic concepts: independence, mutually exclusive events, multiplication rules, complementary probability, joint occurrence of event
- Normal Distribution
- Poisson Distribution
- Binomial Distribution
- Chi Square, Student’s T and F Distributions
- Hypergeometric Distributions
- Bivariate Distributions
- Exponential Distribution
- Lognormal Distributions
- Weibull Distributions
Day 3_AM – Analyse: Analysing Patterns in Data
- Pareto Analysis
- Frequency Distributions
- Box and Whisker Plots
- Time Plots (Run Charts)
- Types and Causes of Variation
Day 3_PM – Measure: Six Sigma Measures – Defect & Yield Metrics (Process Capability)
- Defects, Units, and the DPU Metric
- Process Yield Measures
- Defect Planning, Tracking & Analysis
- Process Capability
- Process Sigma
Day 4 – Analyse: Hypothesis Testing and ANOVA
- Introduction to Hypothesis Testing
- Test for Equal Variance
- Analysis of Variance (ANOVA)
- Comparing Two Or More Proportions
Day 5 – Control: SPC and Process Charts
- Quality Control & Process Management
- Control Charts Review
- Review: Common and Special Cause Variation
- Tests for Special Causes
- Individuals Charts
- Responding to Control Charts
- Specification Limits vs. Control Limits
- Using Control Charts
- Control Charts for Discrete Data
- Control Chart for Non-Time Ordered Data
- Control Charts for High-Volume Processes with Subgroups X-bar,R Charts
- EWMA Charts: Control Charts for Detecting Small Shifts Quickly
The classroom version of LSS Green Belt transfers needed knowledge and skills to delegates via interactive lecture, group exercises, process and tool simulations, individual exercises and the application of learning to a real improvement project in the workplace.
In the classroom, our instructors are interesting and engaging, transferring knowledge from their extensive industry experience and thorough set of course content. Instructors also vigorously challenge students to stretch themselves, and support them in this regard, so they can extract the most value from the experience.