Six Sigma Green Belt Training | Chicago

Thousands of companies around the world have discovered the benefits of Six Sigma Methodology incorporating the implementation of a measurement-based strategy that focuses on process improvement and variation reduction.  This is accomplished through the use of two Six Sigma sub-methodologies: DMAIC and DMADV.

The Six Sigma DMAIC process (define, measure, analyze, improve, control) is an improvement system for existing processes falling below specification and looking for incremental improvement. The Six Sigma DMADV process (define, measure, analyze, design, verify) is an improvement system used to develop new processes or products at Six Sigma quality levels. Both Six Sigma processes are executed by Six Sigma Green Belts.

• Six Sigma Overview
• Rolled Throughput Yield
• Process Mapping
• Failure Mode & Effects Analysis (FMEA)
• Probability (Monte Carlo Analysis, Conditional probability)
• Introduction to Statistics (Distributions)
• Confidence Intervals (Basic DOE)
• Basic Tools (Ishikawas Seven Quality tools)
• Hypothesis Testing
• Project Planning
• Correlation and Regression
• Analysis of Variance (ANOVA)
• Introduction to Design of Experiments
• Randomized Blocks
• Full Factorial Experiments (DOE)
• Statistical Process Control (SPC)
• Control Planning and Application
• Mistake Proofing (Poka Yoke)

Define

•  Overview of Six Sigma
•  DMAIC Methodology Overview
•  Financial Benefits of Six Sigma
•  The Impact of Six Sigma to The Organization
•  The Six Sigma Language
•  Project Definition
•  Project Charter
•  Developing a Business Case
•  Chartering a Team
•  Defining Roles and Responsibilities
•  Gathering Voice of the Customer and
•  Support for Project
•  Translating Customer Needs into Specific
•  Requirements (CTQs)
•  SIPOC Diagram
•  Define Phase Review

Measure

•  Process Mapping (AsIs Process)
•  Data Attributes (Continuous Versus Discrete)
•  Defining Metrics
•  Measurement System Analysis
•  Data Collection Techniques
•  Data Collection Plan
•  Understanding Variation
•  Measuring Process Capability
•  Calculating Process Sigma Level
•  Rolled Throughput Yield
•  Visually Displaying Baseline Performance
•  Measurement Phase Review
• Analyze
•  Visually Displaying Data (Histogram, Run
•  Chart, Pareto Chart, Scatter Diagram)
•  Detailed (Lower Level) Process Mapping of
•  Critical Areas
•  ValueAdded Analysis
•  Cause and Effect Analysis (a.k.a. Fishbone, Ishikawa)
•  Affinity Diagram
•  Data Segmentation and Stratification
•  Verification of Root Causes
•  Determining Opportunity (Defects and
•  Financial) for Improvement
•  Introduction to DOE and ANOVA
•  Analyze Phase Review

Improve

•  Brainstorming
•  MultiVoting
•  Quality Function Deployment (House of Quality)
•  Selecting a Solution
•  Failure Modes and Effects Analysis (FMEA)
•  Poka Yoke (Mistake Proofing Your New Process)
•  Piloting Your Solution
•  Implementation Planning
•  Statistical Software Training
•  Improve Phase Review

Control

•  Assessing The Results of Process Improvement
•  Statistical Process Control (SPC)
•  Rational SubGrouping
•  Establishing Process Standards for Inputs,
•  Process and Outputs
•  Developing a Process Control Plan
•  Documenting the Process
•  Statistical Software Training
•  Control Phase Review

Texas instrument T1 36X calculator