Six Sigma Green Belt - eLearning (exam included)

Six Sigma Green Belt eLearning (exam included)

The Six Sigma Green Belt course focuses on providing students with an understanding of the various Six Sigma tools and techniques that are useful for improving the production process and minimizing defects in the final product with a greater focus on the practical implementation of these tools and techniques in the organization.

About the course

Six Sigma is a data-driven, customer-focused and results-oriented approach that uses statistical tools and techniques to systematically eliminate defects and inefficiencies to improve processes. It is a systematic approach to measuring and analyzing business processes to identify critical factors affecting business performance, thereby improving processes and establishing controls around the improved processes.

The Six Sigma Green Belt Certification is a mid-level credential within the Six Sigma methodology that demonstrates an individual's ability to lead and manage process improvement projects, as well as apply Six Sigma tools and techniques to solve complex problems. It is designed for professionals who are actively involved in improving processes and quality within their organizations.

Key Benefits of SIX SIGMA

• Six Sigma helps companies reduce costs and improve productivity.
• Six Sigma improves the quality of project outcomes by reducing inefficiencies and defects.
• Six Sigma increases customer satisfaction and loyalty.
• Certified Six Sigma professionals can help to significantly increase return on investment.

There are mainly two methodologies of Six Sigma, namely DMAIC and DMADV.

DMAIC is a data-driven Six Sigma methodology for improving existing products and processes. The DMAIC process should be used when an existing product or process can be improved to meet or exceed customer requirements. The DMAIC methodology consists of five phases: D - define, M - measure, A - analyze, I - improve, C - control.

• Define - Define the project objectives and customer (internal and external) deliverables.
• Measure - Measure the process to establish the current process performance (baseline).
• Analyze - Find out the root causes of the deficiencies.
• Improve - Improve the process by eliminating defects.
• Check - Check the future performance.

DMADV is a common Design for Six Sigma (DFSS) methodology used to develop a process or product that does not exist in the company. DFSS is an application of Six Sigma that focuses on designing or redesigning the various processes used in manufacturing products or providing services by taking into account customer needs and expectations. DMADV is used when the existing product or process does not meet the level of the customer specification or the Six Sigma level even after optimization with or without the use of DMAIC. The DMAIC methodology consists of five phases: D - Definition, M - Measurement, A - Analysis, D - Design, V - Validation.

• DEFINE the project objectives and customer deliverables.
• MEASURE the process to determine the current level of performance.
• ANALYZE and determine the root causes of the shortcomings.
• DESIGN the process in detail to meet the customer's needs.
• VALIDATE the performance of the design and its ability to meet the customer's needs.

Key Features

• Course and material are in English
• Beginner - Intermediate for professionals
• 180 days access to eLearning platform anytime (self-paced study). Available in Mobile app as well
• 4 hours total video content
• 20 hours study time recommended
• 8 useful study guides with reference materials to help you learn.
• Six Sigma Green Belt official certification included
• Exam voucher included. The Validity follows your access length to the course. Pick your date anytime!
• You have total three exam attempts to pass the exam, at no extra cost!

Objectives

During the Six Sigma Green Belt certification course, participants will be able to develop:

• Understanding of the concepts, implementation and objectives of Six Sigma
• Ability to use a structured approach to process improvement
• Ability to use the DMAIC methodology (define, measure, analyze, implement and control)
• Ability to predict, prevent and control errors in a process
• understanding of the components of waste
• ability to achieve sustainable quality improvement through process improvement
• Understanding of the tools for process discovery.
• Understanding of variation in processes.
• Skills to reduce variation in processes and achieve predicted results.
• Ability to identify, measure and analyze process potential
• Use of inferential statistics
• Use of hypothesis testing
• Understanding of when to use any Six Sigma methodology.
• Ability to use capability analysis to control processes.
• Knowledge of the interdependence of Lean tools.
• Skills in preventing, identifying and controlling defects.
• Understanding and use of statistical process control.
• Skills in training, documenting, monitoring, responding and adapting systems.

Target Group

This course is highly recommended for employees and organizations who need a standardized approach to problem-solving for continuous improvement in Quality Management.

• Continuous Improvement Engineer
• Production Line Manager
• Quality Assurance Manager
• Senior Systems Engineer
• Project Manager

Prerequisites:

No prior knowledge requirements. Preferably Six Sigma Yellow Belt (But not mandatory)

Exam Format

• Several options
• 90 questions per test.
• One point for each correct answer.
• No negative points for wrong answers
• 120 minutes.
• Proctored online test

Licensing and accreditation

The Six Sigma Green Belt (SSGB™) certification offered by 6sigmastudy, a VMEdu company according to Partner Program Agreement and complies with the License Agreement requirements

Six Sigma Green Belt Course Content

Introduction to Six Sigma

- History of Quality (Deming, Juran, JIT, Ishikawa, Taguchi, etc.)
- Evolution of Six Sigma
- Defining Six Sigma - philosophy and objectives
- Overview of the Six Sigma DMAIC process
- Stakeholders and setting up a Six Sigma project
- Identifying and documenting stakeholder requirements
- Identifying stakeholders and customers
- Data collection and analysis
- Determining critical requirements
- Project selection criteria
- Establishing performance criteria
- Using financial criteria to evaluate project benefits
- Maximising project benefits for the organisation

Project Planning

- Creating Project Charter
- Negotiating Charter
- Managing team dynamics
- Initiating teams
- Stages of team development
- Maslow's hierarchy of needs
- Motivation techniques
- Conflict Resolution Techniques
- Management / Leadership styles
- Roles played by people in a project
- Key tools for project management and planning

Six Sigma Methodology - Defining

Inputs

- Need for Six Sigma project, sponsorship by executive management, core team identified 

Tools
- Organisation hierarchy
- High-level process maps
- High-level pareto charts
- Idea generation and categorisation tools

Output

- Project charter
- Established metrics
- Problem definition
- Roles and responsibilities

Six Sigma Methodology - Measurement

- Objectives of the measurement phase

Inputs

- The outputs of the Define phase

Tools

- Data collection tools and techniques
- Measurement scales
- Validation techniques (R & R measurements)
- Statistical distributions
- Data mining
- Charts
- Process map
- Stakeholder tools
- Process costs

Output

- Well-defined processes 
- Baseline process capability 
- Process parameters affecting CTQs 
- Cost of poor quality (COPQ)
- Measuring system

Six Sigma Methodology - Analyse

Objectives of the Analyse Phase

Inputs
- Outputs of the Measurement Phase

Tools
- Ishikawa diagram
- Failure mode and effects analysis
- Hypothesis study
- Process capability study

Output
- Major causes of defects
- Particular and common causes of variation
- DPMO and sigma level

Six Sigma Methodology - Improve

Inputs

- outputs of the Analysephase  

Tools

- Return on investment
- Solution design matrix 
- Trial design
- Taguchi robustness concepts 
- Response surface methodology 
- Project planning and management tools 
- Prototypes 

Output

- Cost/benefit for different solutions
- Selection of solutions for implementation
- Implementation plan

Six Sigma Methodology - Control

Inputs
- outputs of the improvement phase

Tools

- Control plan
- Statistical process control
- Lean enterprise
- 5S
- Kaizen
- Kanban
- Total productive maintenance
- Re-analysis of measurement systems

Output

- Implemented solutions
- Revised measurement system
- Control plan for continued benefits
- Improves process capability
- Lessons learned

Case Studies 1-3