
Lean Six Sigma
Lean Six Sigma is a process improvement approach that seeks to improve performance by eliminating waste and defects. It combines Lean Management and Six Sigma methods and tools to reduce variation, cycle time, and operational costs, while increasing customer satisfaction and value creation. It is a fact-based, data-driven philosophy of improvement that values defect prevention over defect detection.
Multiple Training Models Available:
Asynchronous eLearning, Instructor-Led, or Hybrid
Yellow Belt
Green Belt
Topics Covered
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Six Sigma and Lean: Foundations and Principles
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Team Basics, Roles, and Responsibilities
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Quality Tools
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Metrics
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Identifying Projects
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Project Management Basics
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Basic Six Sigma Statistics
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Classifying and Collecting Data
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Measurement System Analysis
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Lean Tools and FMEA
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Data Analysis and Root Cause Analysis in Six Sigma
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Correlation, Regression, and Hypothesis Testing
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Techniques for Improvement
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Control Tools and Documentation
Black Belt
Topics Covered
Foundations and Project Leadership
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Fundamentals of Lean and Six Sigma and their Applications
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Six Sigma Project Selection, Roles, and Responsibilities
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Using Business and Financial Measures in Six Sigma
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Six Sigma Team Facilitation and Leadership
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Determining Requirements by Listening to the Voice of the Customer in Six Sigma
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Six Sigma Business Case, Project Charter, and Tools
Process Analysis and Measurement
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Process Flow Metrics and Analysis Tools for Six Sigma
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Data Types, Sampling, Collection, and Measurement in Six Sigma
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Six Sigma Measurement Systems and Metrology
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Using Basic Statistics and Graphical Methods in Six Sigma
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Probability and Probability Distributions in Six Sigma
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Determining Process Performance and Capability in Six Sigma
Topics Covered
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Organizational Goals and Six Sigma
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Lean Principles in Six Sigma Projects
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FMEA and Design for Six Sigma
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Identifying Six Sigma Projects
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Voice of the Customer
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Project Management Essentials
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Management and Planning Tools for Six Sigma
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Performance Metrics
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Team Dynamics and Performance for Six Sigma Projects
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Process Documentation and Analysis
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Probability and Statistical Distributions
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Data Classification, Sampling, and Collection
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Statistics and Graphical Presentation
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Measurement Systems Analysis
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Process and Performance Capability Measurement
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Exploratory Data Analysis
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Hypothesis Testing Fundamentals
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Hypothesis Tests for Variances and Proportions
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Design of Experiments
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Root Cause Analysis and Waste Elimination
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Cycle-time Reduction and Kaizen Blitz
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Statistical Process Control Basics
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Control Charts
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Process Control Tools
Statistical Analysis
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Measuring and Modeling Relationships between Variables in Six Sigma
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Basics of Hypothesis Testing and Tests for Means in Six Sigma
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Tests for Variances and Proportions, ANOVA, and Goodness-of-fit in Six Sigma
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FMEA and Other Nonstatistical Analysis Methods in Six Sigma
Improvement and Experimentation
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Understanding DOE and Planning Experiments in Six Sigma
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Designing, Conducting, and Analyzing Experiments in Six Sigma
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Lean Improvement Methods and Implementation Planning in Six Sigma
Control
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Statistical Process Control and Control Charts in Six Sigma
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Using Lean Control Tools and Maintaining Controls in Six Sigma
Questions?
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