Lean Six Sigma Green Belt Certification Training Course in Dresden, Germany

• Overview of the Lean Six Sigma Methodology
• Role of Green Belt Professionals in Driving Process Improvement

1.1 The Basics of Six Sigma

• Understanding Six Sigma: Definition and Core Principles
• Historical Context and Evolution of Six Sigma & Continuous Improvement
• Key Deliverables of a Lean Six Sigma Project
• Problem-Solving Strategy (Y = f(x))
• Voice of the Customer, Business, and Employee
• Roles and Responsibilities of Six Sigma Professionals

• Defining and Mapping a Process
• Identifying Critical to Quality (CTQ) Characteristics
• Understanding the Cost of Poor Quality (COPQ)
• Implementing Pareto Analysis (80:20 Rule)
• Introduction to Basic Six Sigma Metrics

• Building a Solid Business Case and Project Charter
• Developing and Defining Project Metrics
• Financial Evaluation and Benefits Capture

• Understanding the Core Principles of Lean
• History and Evolution of Lean Methodology
• Integration of Lean and Six Sigma Practices
• Identifying and Eliminating the Seven Types of Waste
• Implementing 5S Methodology: Straighten, Shine, Standardize, Self-Discipline, and Sort

2.1 Process Definition

• Using Cause & Effect (Fishbone) Diagrams for Process Analysis
• Process Mapping Tools: SIPOC, Value Stream Mapping
• Creating X-Y Diagrams to Identify Process Relationships
• Conducting Failure Modes & Effects Analysis (FMEA)

• Introduction to Basic and Descriptive Statistics
• Understanding Normal Distributions and Normality
• Visualizing Data with Graphical Analysis

• Precision, Accuracy, and Gage Repeatability
• Analyzing Bias, Linearity, and Stability
• Understanding Variable and Attribute MSA

• Conducting Capability Analysis
• Understanding Process Stability Concepts
• Analyzing Attribute and Discrete Capability
• Applying Monitoring Techniques

3.1 Patterns of Variation

• Conducting Multi-Vari Analysis to Identify Patterns of Variation
• Understanding Classes of Distributions

• Basic Concepts of Statistical Inference
• Sampling Techniques and Applications
• Understanding the Central Limit Theorem

• General Concepts and Goals of Hypothesis Testing
• Understanding Significance: Practical vs. Statistical
• Risk Analysis: Alpha & Beta Error
• Types of Hypothesis Tests

• One and Two Sample t-Tests
• One Sample Variance Test
• One-Way ANOVA

• Mann-Whitney U Test
• Kruskal-Wallis Test
• Mood’s Median Test
• Friedman Test
• Sample Sign Test
• Wilcoxon Signed-Rank Test
• One and Two Sample Proportion Tests
• Chi-Squared Test (Contingency Tables)

4.1 Simple Linear Regression

• Understanding Correlation and Regression Equations
• Analyzing Residuals

• Exploring Non-Linear Regression
• Conducting Multiple Linear Regression
• Understanding Confidence and Prediction Intervals
• Analyzing Residuals and Data Transformation Techniques (e.g., Box-Cox Transformation)

5.1 Lean Controls

• Control Methods for 5S Implementation
• Understanding Kanban Systems
• Introduction to Poka-Yoke (Mistake Proofing)

• Data Collection Methods for SPC
• Different SPC Chart Types: I-MR Chart, Xbar-R Chart, U Chart, P Chart, NP Chart, Xbar-S Chart, CuSum Chart, and EWMA Chart
• Understanding Control Chart Anatomy

• Conducting Cost-Benefit Analysis
• Key Elements of the Control Plan
• Developing a Response Plan for Project Implementation and Maintenance

• Practice Questions Aligned with the Certification Exam
• Comprehensive Review of Key Topics

• Detailed Overview of Exam-Related Topics

Completion of our Lean Six Sigma Green belt course will back candidates and organizations as per the following:

• Function as a ‘tools application’ member of a six sigma project team
• Lead and execute process-level improvement projects
• Collect process data and develop process maps
• Develop statistical hypotheses using simple statistical tools
• Design simple experiments and/or implementation plans that help validate improvement options
• Apply problem solving and quantifiable tools to an improvement project brought to class on the first day.
• Eliminate waste and defects by applying lean and six sigma
• Collect, analyze, and quantify data that enable process improvements
• Learn how to execute the six sigma methodology.
• Work with process owners to ensure process gains are held

The vital concepts of Lean Six Sigma Green Belt Certification training course are:

• Process Definition
• Six Sigma Statistics
• Measurement System Analysis
• Process Capability
• Patterns of Variation
• Inferential Statistics
• Hypothesis Testing
• Hypothesis Testing with Non-Normal Data
• Simple Linear Regression
• Multiple Linear Regression
• Lean Controls
• Statistical Process Control (SPC)
• Six Sigma Control Plans