CSSGBCertified Six Sigma Green Belt
Course Overview
Variability and variations are a source of loss of productivity, customer dissatisfaction with the product/service, increased cost and delays in delivery hence Six Sigma is a customer driven top management which leads the battle against variability and variations of all types using the DMAIC (Define, Measure, Analyze, Improve, and Control) methodology. This standardized approach, if applied throughout the organization, can lead to substantial reduction of variability and variations by creating sensitivity for noticing, analyzing and reducing variability and variations to a predetermined standard for the organization (the Six Sigma scale). It inculcates the approach of economic and innovative solutions by involving all the concerned persons, with appropriate training and teamwork.
The Six Sigma Green Belt operates 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 adequate work experience wants to demonstrate his or her knowledge of Six Sigma tools and processes.
Key Takeaways
Course Outline
•Understanding the value of Six Sigma
•Aligning organizational goals with Six Sigma projects
•Key organizational drivers and metrics
•Basic Lean concepts and their application
•Value-stream mapping to identify and eliminate waste
•Overview of DFSS roadmaps
•Introduction to failure mode and effects analysis (FMEA)
•Differentiating between design FMEA and process FMEA
•Identifying potential projects and key process elements
•Engaging owners and stakeholders effectively
•Gathering and analyzing customer data
•Translating customer requirements into project goals
•Crafting a robust project charter and defining project scope
•Tools for project planning, documentation, and risk analysis
•Effective management and planning tools (e.g., affinity diagrams, interrelationship digraphs)
•Probability and statistics fundamentals
•Data types, collection methods, and summarization techniques
•Measurement system analysis (MSA)
•Assessing process and performance capability
•Exploratory data analysis including multi-vari studies and regression analysis
•Comprehensive hypothesis testing
•Design of experiments (DOE) for optimizing processes
•Root cause analysis and implementation of Lean tools
•Practical approaches to waste elimination, cycle-time reduction, and continuous improvement (Kaizen)
•Statistical process control (SPC) techniques and applications
•Development and implementation of control plans
•Leveraging Lean tools for sustained process control, including total productive maintenance and visual management systems
Who Should Attend?
Quality Managers and Engineers
Process Engineers and Managers
Project Managers
Operational Managers
Product Managers
Business Analysts