Six Sigma- Green Belt

 Six Sigma Round #41

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Introduction:-

The primary purpose of establishing the Six Sigma methodology was to improve the quality of operations within institutions and facilities in all domains, to identify the best practices and methodologies for analysis and data measurement with a focus on reducing wastage rates. Learn to practically use the DMAIC methodology and guidelines to enhance business process capabilities, reduce costs and defects.

ASQ Certifications are considered as quality excellence in many domains, which help advance your career and help you master quality skills. Six Sigma Green Belt holder operates in analyzing and solving quality problems, also involved in quality improvement projects.

By attending Engineering Tracks Six Sigma Green Belt Preparation Exam Course, you will upgrade your skills and boost your career, and most importantly, will be able to pass the international ASQ Six Sigma Green Belt exam.

Course Structure:-

Six Sigma - Green Belt Preparation Exam Course Body of Knowledge was built according to the references provided by ASQ, which deliver a better scope of the materials covered in the exam. Engineering Tracks uses ASQ books and references to help you be well prepared for passing the international exam.

Our training content contains a robust simulation system with over +300 questions and several exams that simulate international exam questions.

The Topics covered:

Essentials

1- Continuous Improvements Fundamentals

Project Simulation: Construction

1. Value of Six Sigma
2. LSS and the Green Belt
3. Organizational Drivers
4. Analyzing Financials to "See the Big Picture"
5. Voice of the Customer vs. Voice of the Process
6. Organizational Goals and Six Sigma Projects
7. Key Metrics and Scorecards
8. Understanding LSS, Automation, and Digital Systems

2-Problem-solving Methodologies

Project Simulation: Pharmaceutical

1. The Practical Nature of DMAIC
2. PDCA/PDSA
3. DMADV, IDOV, and Alignment with DMAIC
4. Using DMADV, IDOV, and DMAIC During DFSS

3-Team Collaboration

Project Simulation: Technology

1. Team Roles and Responsibilities
2. Organizational Communication and the LSS Team
3. Stages of Team Evolution
4. Resolving Negative Team Dynamics
5. Using Team Ideation Tools
6. Team Collaboration Techniques
7. Using Team Communication to Support Project Success      

Applied Concepts:

1-Process Analysis

Process Elements

1. Cross-Functional Processes and Challenges
2. Benchmarking
3. Process Inputs and Outputs
4. Process Analysis and Documentation
5. Basic Failure Mode and Effects Analysis (FMEA)

2-Principles

Project Simulation: Financial Services

1. Waste Analysis
2. Concepts
3. Value Stream Mapping
4. Waste Elimination
5. Cycle-Time Reduction
6. Kaizen and Kaizen Blitz

3-Project Setup    

1. Project Selection
2. Owners and Stakeholders
3. Customer Identification
4. Project Charter
5. Project Risk Analysis
6. Understanding the Impact of Risk

4-Project Management

Project Simulation: Education

1. Project Scope
2. Project Metrics
3. Project Documentation
4. Project Planning Tools
5. Management and Planning Tools
6. Presenting Project Status

5-Making and Sustaining Improvements

Piloting and Implementing Improvements

1. Control Plan
2. Documentation, Training, and Knowledge Transfer
3. Controlling the Improvement
4. Visual Factory
5. Project Closure

Data Analytics:

1- Data Fundamentals

1. Tactical vs. Strategic Data
2. Collecting Customer Feedback
3. Validating Measurement Systems for Downstream Analysis
4. Calculating Process Performance
5. Tracking Process Performance Measures

2-Data Analysis

2. Continuous vs. Discrete Data
3. Basic Design of Experiments Terms
4. Understanding the Central Limit Theorem
5. Understanding Distributions
6. Measures of Dispersion and Central Tendency
7. Frequency and Cumulative Frequency Distributions

3-Performing Calculations

Project Simulation: Aerospace

1. Measurement System Analysis (MSA)
2. Process Performance vs. Process Specifications
3. Process Capability Studies
4. Process Capability and Process Performance Indices
5. Calculating Process Capability and Process Performance
6. Calculating the Sigma Level of a Process
7. Short-term vs. Long-term Capability
8. Identifying and Calculating Sigma Shift

4- Statistical Analysis

Project Simulation: Financial Services

1. Basic Statistical Terms
2. Sampling and Data Collection Methods
3. Multi-vari Studies
4. Correlation vs. Causation
5. Calculating the Correlation Coefficient and Linear Regression
6. Using Regression Models for Estimation and Prediction
7. Basics of Hypothesis Testing
8. Sample Sizes and Test Development
1. Conducting Hypothesis Tests
10. Design of Experiments (DoE) Graphs and Plots
11. Root Cause Analysis
50. Graphical Methods

5- Statistical Process Control

Project Simulation: Education

1. 1. SPC Basics
   2. SPC Tools
   3. Common vs. Special Cause Variation
   4. Rational Subgrouping
   5. Control Charts

About The Exam:

Six Sigma Green Belt examination consists of a 110-question offered in English only, 100 questions are scored and 10 are not. The total exam duration is 4:20 hours.

By the end of this course:

• Practically use the DMAIC (Define-Measure-Analyze-Improve-Control) methodology.
• Able to Apply practices to reduce waste and improve efficiency.
• Be able to collect, analyze, and quantify data.
• Develop statistical forecasting using statistical tools.