SIX SIGMA GREEN BELT

The Six Sigma Green Belt operates in support of or under the supervision of a Six Sigma Black Belt, analyzes and solves quality problems and is involved in quality improvement projects. A Green Belt is someone with at least three years of work experience who wants to demonstrate his or her knowledge of Six Sigma tools and processes.

Required Experience

Six Sigma Green Belts are employees who spend some of their time on process improvement teams. They analyze and solve quality problems, and are involved with Six Sigma, lean or other quality improvement projects.

Minimum Expectations for a Certified Six Sigma Green Belt

• Operates in support of or under the supervision of a Six Sigma Black Belt
• Analyzes and solves quality problems
• Involved in quality improvement projects
• Participated in a project, but has not led a project
• Has at least three years of work experience
• Has ability to demonstrate their knowledge of Six Sigma tools and processes

Who Needs to Attend

• Project managers, engineers, quality experts, and continuous improvement specialists searching for opportunities to drive greater organizational value
• Leaders at all levels of the organization focused on identifying opportunities for dramatic improvement in customer satisfaction and corporate profitability
• Groups of employees from organizations seeking greater value and success (having already employed Lean process improvement methods)
• Organizations interested in experimenting with Lean Six Sigma methodologies to improve processes

Prerequisites

There are no prerequisites for this course

Course Outline: 40 hours

Day 1 (4 hour module)

A. 6  and organizational goals
1. Value of 6 
B. Organizational drivers and metrics
1. Lean concepts and tools)
2. Value-added and non-value-added activities
Theory of constraints
C. Design for 6  (DFSS) in the organization
1. Quality function deployment (QFD)
2. Design and process failure mode and effects analysis (DFMEA & PFMEA)
Road maps for DFSS

Day 2 (4 hour module)-Define phase
D. 6  Process Management for Projects-Define phase
1. Process elements
Owners and stakeholders
2. Identify customers
Collect customer data
Analyze customer data
E. Translate customer requirements
Project management basics
1. Project charter and problem statement
Project scope
Project metrics
2. Project planning tools
3. Project documentation
Project risk analysis
4. Project closure

Day 3 (4 hour module)-Define phase continued
F. Management and planning tools
Business results for projects
G. Process performance
Failure mode and effects analysis (FMEA)
Team dynamics and performance
1. Team stages and dynamics
6  and other team roles and responsibilities
Team tools
II. Communication

Day 4 (4 hour module)-Measure phase
A. Process analysis and documentation
1. Process modeling
2. Process inputs and outputs
B. Probability and statistics
1. Drawing valid statistical conclusions
Central limit theorem and sampling distribution of the mean
2. Basic probability concepts
C. Collecting and summarizing data
1. Types of data and measurement scales
Data collection methods
Descriptive statistics
Graphical methods

Day 5 (4 hour module) Measure phase continued
D. Describe and interpret normal, binomial, and Poisson, chi-square, Student’s t, and F distributions. (Apply)
E. Measurement system analysis
F. Process capability and performance
1. Process capability studies
Process performance vs. specification
Process capability indices
Process performance indices
Short-term vs. long-term capability
2. Process capability for attributes data

Day 6 ( 4hour module) Analysis phase
G. 6  Analysis
Exploratory data analysis
1. Multi-vari studies
2. Simple linear correlation and regression
H. Hypothesis testing
1. Basics
2. Tests for means, variances, and proportions
3. Paired-comparison tests
4. Single-factor analysis of variance (ANOVA)
5. Chi square

Day 7 (4 hour module)-Improve Phase
III. 6  – Improve
A. Design of experiments (DOE)
1. Basic terms
2. Main effects
B. Statistical process control (SPC)
1. Objectives and benefits
2. Rational sub grouping
3. Selection and application of control charts
4. Analysis of control charts

Day 8 (4 hour module)-Control Phase
IV. 6  – Control
A. Design of experiments (DOE)
1. Basic terms
2. Main effects
B. Statistical process control (SPC)
1. Objectives and benefits
2. Rational sub grouping
3. Selection and application of control charts
4. Analysis of control charts
C. Implement and validate solutions Control plan
Note: -Some Tools are repeated in Improvement and Control Phases for strategic objectives.

Day 9 (4 hour module)
V. Lean Concepts
A. Value Stream Mapping
1. Waste Elimination
2. 5 S

B. 6  Project
1. Objectives
2. Presentations
3. Minitab 16

Day 10 (4 hour module)

VI. Knowledge Evaluation and Review

 

 

Six Sigma

Six Sigma Green Belt

Six Sigma Black Belt

CQA:Certified Quality Auditors

CQE: Certified Quality Engineer

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