Course Overview
Most preferably for Quality management aspirants or Quality specialist, Green Belt certification is the start of the Six Sigma Certification.Green Belt focuses on DMAIC aspects. DMAIC stands for define, measure, analyze, improve and control. This course provides you with a great start in not only completing and getting certified but also prepares you move on to the next level. The syllabus is inclusive of project management, estimation and resolving techniques and practical sessions that revolve around complex real-time scenarios.
I. Overview: Six Sigma and the Organization
A. Six Sigma and Organizational Goals
1. Value of Six Sigma
2. Organizational drivers and metrics
3. Organizational goals and Six Sigma projects
B. Lean Principles in the Organization
1. Lean concepts and tools
2. Value-added and non-value-added activities
3. Theory of constraints
C. Design for Six Sigma (DFSS) in the Organization
1. Quality function deployment (QFD)
2. Design and process failure mode and effects analysis (DFMEA & PFMEA)
3. Road maps for DFSS
II. Six Sigma-Define
A. Process Management for Projects
1. Process elements
2. Owners and stakeholders
3. Identify customers
4. Collect customer data
5. Analyze customer data
6. Translate customer requirements
B. Project Management Basics
1. Project charter and problem statement
2. Project scope
3. Project metrics
4. Project planning tools
5. Project documentation
6. Project risk analysis
7. Project closure
C. Management and Planning Tools
D. Business Results for Projects
1. Process performance
2. Failure mode and effects analysis (FMEA)
E. Team Dynamics and Performance
1. Team stages and dynamics
2. Six Sigma and other team roles and responsibilities
3. Team tools
4. Communication
III. Six Sigma-Measure
A. Process Analysis and Documentation
1. Process modeling
2. Process inputs and outputs
B. Probability and Statistics
1. Drawing valid statistical conclusions
2. Central limit theorem and sampling distribution of the mean
3. Basic probability concepts
C. Collecting and Summarizing Data
1. Types of data and measurement scales
2. Data collection methods
3. Techniques for assuring data accuracy and integrity
4. Descriptive statistics
5. Graphical methods
D. Probability Distributions
E. Measurement System Analysis
F. Process Capability and Performance
1. Process capability studies
2. Process performance vs. Specification
3. Process capability indices
4. Process performance indices
5. Short-term vs. long-term capability
6. Process capability for attributes data
IV. Six Sigma-Analyze
A. Exploratory Data Analysis
1. Multi-vari studies
2. Simple linear correlation and regression
B. 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
V. Six Sigma-Improve and Control
A. Design of Experiments (DOE)
1. Basic terms
2. Main effects.
B. Statistical Process Control (SPC)
1. Objectives and benefits
2. Rational subgrouping
3. Selection and application of control charts
4. Analysis of control charts
C. Implement and Validate Solutions
D. Control Plan