An Intensive 5-day Training Course
Lean Six Sigma: Green Belt Program
Building Business Improvement Leaders
- Format: Classroom
- Duration: 5 days
- Language: English
- Accredited: CPE, KHDA Certified training courses
It is no coincidence that the organisations recognised world wide as being the most successful strategically and who have been able to develop sustainable long term sources of competitive advantage, are also the ones who embrace operational excellence as an important organisational value. Lean Six Sigma being the most widely used approach and methodology by such organisation.
This Lean Six Sigma: Green Belt training course builds on the Yellow Belt program (which is an assumed prerequisite) and introduces participants to all of the core concepts underpinning the Lean Six Sigma approach to excellence to the Green Belt level.
In Lean Six Sigma organisations, it is the Green Belts who lead and contribute to the majority of improvement teams undertaking the improvement projects that will make continuous improvement through Lean Six Sigma a key element of achieving and maintaining operational excellence.
The Lean Six Sigma: Green Belt training course will be provided participants with the level of knowledge and skill required to achieve accreditation at the Green Belt level.
The objectives of this program are to provide participants with an understanding of:
- The detailed steps to be carried out in each of the Define, Measure, Analyse, Improve and Control Phases of the DMAIC process;
- Thorough understanding of measurement and key data analysis technique aimed at understanding process performance, problem solving and root cause analysis including methods that can be applied in data rich situations, where data may be continuous, discrete or a mixture of continuous and discrete, or intangible issues where there is no data;
- Working knowledge of the Failure Modes and Effects Analysis Technique;
- Statistical measurement and analysis techniques, including descriptive statistics, statistical distributions, variation concepts, statistical process control and hypothesis testing;
- Lean based methodologies, including the A3 Practical Problem Solving process, Kaizen, 5S, Standardised Work, Mistake Proofing, Visual Management, Lean management philosophy and principles.
In particular, it is expected that participants completing the Green Belt Program will be able to successfully execute and implement projects using each of the methodologies covered in the program and be able to correctly decide which is the most appropriate methodology for each situation.
Participants completing this program may elect to progress further in order to achieve the more advanced Black Belt accreditation.
WHO SHOULD ATTEND?
The Lean Six Sigma Green Belt Program introduces participants to concepts, methodologies, tools and techniques on which Lean Six Sigma is based to the Green Belt level.
The Lean Six Sigma Green Belts are an organisation’s improvement leaders and implementers. They bring to project teams a depth of business experience and technical expertise in Lean Six Sigma methodology.
The best candidates for Green Belt training are typically employees at any level who have an interest in improving the organisation nd are passionate about improvement.
This may include:
- Senior Managers who may wish to participant in the occasional high level project and use their knowledge of Lean Six Sigma concepts, tools and techniques to improve their understanding of the business and improve their problem solving and decision making skills
- Middle Managers, Front Line Managers and Team Leaders who wish to define, lead and participate in improvement initiates;
- Operational level employees who are interested in improvement and in being involved in improvement projects.
The Lean Six Sigma Green Belt program is a hands-on, stimulating learning experience.
The Lean Six Sigma: Green Belt training course will be highly interactive, with opportunities to advance your opinions and ideas. Participation is encouraged in a supportive environment.
To ensure the concepts introduced during the program are understood, they will be reinforced through a mix of learning methods, including lecture style presentation, open discussion, case studies, simulations and group work.
*Note: Some of the topics covered from day 2 onwards in this program will make use of the Microsoft Excel Spreadsheet software and the “Data Analysis Toolpak” add-in. Participants will need to bring laptops to the program with the “Toolpak” add-in installed and activated.
It has been our experience the learning value of the training experience is maximised if there are enough laptop computers available so that no more than two participants have to share a computer.
The Lean Six Sigma: Green Belt training course builds on the foundation established by the Yellow Belt program and is structured around a “deep dive” into each of the DMAIC phases.
The basic tool kit provided in the Yellow Belt program is significantly expanded by introducing statistical process control and analysis concepts, analysis of graphical display and statistical hypothesis testing.
The Green belt program also includes a thorough treatment of lean concepts, tools and techniques.
Day 1 - Introduction and Define Detail
- Introduction to the Green Belt Role
- The Define Phase Detail
- The Three Voices of Define - Customer/Process/Business
- The Project Charter
- Building and Effective Lean Six Sigma Team
- The Voice of the Customer
- Understanding the Voice of the Customer
- KANO Analysis
- Customer Requirements Statements
- The Voice of the Process
- SIPOC Diagram
- Process Mapping
- Process Blocking
- Process Deployment Charts
- Service Blueprinting
- Process Flow Analysis
- Value Stream Mapping
- Define Phase Tollgate Review
Day 2 - Measure Phase Detail
- Determining What to Measure
- The Y=f(x) Relationship
- Leading and Lag Indicators
- Developing Operational Definitions
- Understanding the Measures
- The Funnel Experiment/Simulation
- Normalisation of Data
- Populations and Samples
- Sampling and Bias
- Sample Size Determination
- Types of Data - Discrete & Continuous
- Collecting and Displaying Discrete Data
- Checksheets and Pareto Charts
- Displaying Continuous Data
- Understanding the Measures
- Dot plots, Histograms & Run Charts
- Developing Descriptive Measures of Data
- Measures of Location - Mean/Median/Mode
- Measure of Spread - Range, Standard Deviation, IQR
- Box Plots
- Box Blot test for Normality
- Understanding Variation
- Common and Special Causes
- The Normal Distribution
- Control Charts
- Stable and Unstable Processes
- Process Improvement through Variation Reduction
- Introduction to Statistical Process Control
- The Individuals Chart
- The Shewart Tests
- Assessing Process Performance
- Process Capability
- Yield, First Pass Yield and Final Throughput Yield
- Defects and Defects Per Million Opportunities (DPMO)
- Calculating Sigma Levels and Sigma Rating
Day 3 - Analyse Phase Detail
- Introduction to Analyse
- Sources of Variation and Root Cause Analysis
- Root Causes Analysis
- Determining Sources of Variation (SOV)
- Structured Analytical Tools and Frameworks
- Data Analysis vs Process Analysis
- Disaggregation and Stratification
- Fishbone Diagram Revisited
- The Cause and Effect Matrix
- Process Complexity Analysis
- Failure Mapping
- Process Deployment Chart
- Verification of Root Causes
- Scatter Diagrams and Correlation - Continuous X and Y
- Combination Discrete and Continuous X and Y
- Contingency Diagrams - Discrete X and Y
- Failure Modes and Effects Analysis
Day 4 - Analyse Phase Detail (Continued)
- Problem Solving for Intangible and Conceptual Problems
- Affinity Diagram
- Relationship Diagram
- Systematic Diagram
- Allocations Matrix
- Statistical Tools and Techniques
- The Normal Distribution and Statistical Concepts
- The normal distribution
- Mean and standard deviation
- Quantifying process performance
- Z - values
- The standardised normal distribution
- p - values
- Sampling distributions
- Central limit theorem
- Finite population correction factors
- Six Sigma Statistical Measures Revisited
- Sigma Level, DPMO and Yield
- Sample Size Determination
- Introduction to Hypothesis Testing
- Hypothesis Testing techniques
- Two sample t-tests
- Two sample F tests for variance
- Lean Based Approaches to Analyse
- The Toyota 4-Rules
- The 5-Why's Technique
- Value Stream Mapping and Analysis
- Value/Non-Value Added Analysis
- Flow Analysis - Time Traps and Constraints
- Waste Analysis
- Analyse Phase Tollgate Review
Day 5 - Improve and Control Phases Detail
- The Improve Phase Detail
- Generating Potential Solutions
- Solution Assessment and Selection
- Potential Solutions Matrix
- Decision Matrix
- Implementation Planning
- Simulation and Piloting
- Barriers and Aids Analysis
- Qualitative Risk Analysis
- Lean Approaches to Improvement
- Creating Stability
- Standardised Work
- Visual Management
- Poka-Yoke and Mistake-Proofing
- Improve Phase Tollgate Review
- Control Phase Detail
- The Process Management Control System
- Statistical Process Control (revisited)
- X-Bar and R-charts
- np and p -charts
- c and u charts
- Control Phase Tollgate Review
- Supplementary Topic: Acceptance Sampling
Euromatech is a Knowledge & Human Development Authority (KHDA) approved training institute in Dubai, licensed and approved to deliver training courses in the UAE.
The KHDA is the regulatory authority in the UAE, that oversees administering, approving, supervising, and controlling the activities of various education providers in the UAE. We are proud of our commitment to ensuring quality training courses and status as a KHDA-approved training provider.
Taught by our team of highly qualified trainers, our KHDA approved training courses will provide you with an enriching learning experience and practical knowledge that will help you future-proof your career and support professional development within your organisation.