Six Sigma Yellow Belt - eLearning (exam included + free retake)

650,00 EUR

eLearning

The Six Sigma Yellow Belt (SSYB™) course is tailored to help anyone interested to know what Six Sigma is; learn key concepts in Six Sigma; and to get a basic understanding of how the Six Sigma method works in improving quality and reducing defects. The purpose of the Six Sigma Yellow Belt exam is to confirm, you have basic understanding of Six Sigma. On passing the exam, you will be accredited as “Six Sigma Yellow Belt"

Course timeline

Introduction to Six Sigma
Lesson 01
- 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
Lesson 02
- 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
Lesson 03
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
Lesson 04
- 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
Lesson 05
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
Lesson 06
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
Lesson 07
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

Learning Outcomes

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

Concepts

Understand the concepts, implementation & objectives of Six Sigma. Train, document, monitor, respond and align systems.

Process improvement

Be able to use a structured approach to process improvement a in their organisations

DMAIC

Skill in using the DMAIC (Define, Measure, Analyse, Implement and Control) methodology

Controlling defects

Skill in predicting, preventing and controlling defects in a process. Understanding the elements of waste.

Quality improvement

Skill in achieving sustainable quality improvement through process improvement.

Process discovery

Understanding of process discovery tools, variation in processes, reduce variation in processes and achieve predicted outcomes. Ability to identify, measure and analyse process potential

Methodologies

Understanding when to use which Six Sigma methodology . Use of inferential statistics, hypothesis testing. Ability to use Capability Analysis and understanding the use of statistical process control.

Lean

Knowledge of the interdependencies of Lean tools

Key Features

Videos

40 High-quality videos (approximately 4 hours duration)

Study guides

8 useful study guides (also available in downloadable formats)

Reference

Reference materials to help you learn

Who Should Enroll in this Program?

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

Continuous Improvement Engineer

Production Line Manager

Quality Assurance Manager

Senior Systems Engineer

Project manager

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Six Sigma Yellow Belt

Benefits of Six Sigma

Six Sigma helps companies cut costs and increase productivity
Six Sigma improves the quality of project output by reducing inefficiencies and defects
Six Sigma increases customer satisfaction and loyalty
Certified Six Sigma professionals can help significantly increase ROI
There are mainly two methodologies of Six Sigma namely DMAIC and DMADV.

DMAIC

DMAIC is a data-driven Six Sigma methodology for improving existing products and processes. The DMAIC process should be used whenever an existing product or process can be improved to meet or exceed customer requirements. The DMAIC methodology consists of five phases:

Define - Define project objectives and deliverables (internal and external).
Measure - Measure the process to determine current process performance (baseline).
Analyse - Discover the root causes of defects.
Improve - Improve the process by eliminating defects.
Control - Control future performance.

DMADV

is a common DFSS (Design for Six Sigma) methodology used to develop a process or product that does not yet exist in the company. DFSS is an application of Six Sigma that focuses on the design or redesign of the various processes used in the manufacture of products or delivery of services by considering customer needs and expectations. DMADV is used when the existing product or process does not meet the customer specification or Six Sigma level, even after optimisation with or without using DMAIC. DMADV methodology consists of five phases:

Define the project objectives and customer deliverables
Measure the process to determine the current level of performance
Analysis and determine the root causes of defects
Design the process in detail to meet customer needs
Validate the performance of the design and its ability to meet customer needs

Exam Format and Features

Multiple-choice
90 questions per exam
One point is awarded for each correct answer
No negative marks for wrong answers
Duration 120 minutes
Secured online exam

The Six Sigma Green Belt course focuses on providing students with an understanding of the various Six Sigma tools and techniques useful to improve the production process and minimize defects in the final product with a greater emphasis on the practical implementation of these tools and techniques in the organization.

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