The Lean Six Sigma Black Belt online training course further builds on essential Six Sigma techniques and skills. The Black Belt online training expands on analysis of DMAIC. In this course you will learn probability distributions, hypothesis tests, ANOVA: analysis of variance, and multiple regression. In order to enroll in Lean Six Sigma Black Belt training, candidates must have completed their Green Belt training (LSSE will accept Green Belt training from other reputable organizations).

Lean Six Sigma Black Belt Online Training Best Suited For

• Those who have the corporate support for completing the Six Sigma training
• Those who have specific projects identified and supported by their company
• Those who have assigned time from their work to work on projects

Online Training Course Duration:  Approximately 43 hours

Online Training Course Topics

Introduction

• Six Sigma Introduction
• Introduction to Lean Principles
• Introduction to Lean Office and Service
• A3 Problem Solving
• Managing Change
• Introduction to Theory of Constraints
• Project Management Introduction

Define

• Voice of the Customer
• Managing the Project
• Kaizen Event
• SIPOC
• Mapping the Process

Measure

• Eight Wastes
• Current State Value Stream Mapping
• Future State Value Stream Mapping
• Process Based Costs
• What is Statistics?
• Organizing and Presenting Data
• Pareto Analysis
• Scatter Diagrams
• Measures of Central Tendency
• Measures of Dispersion
• Measurement System Analysis
• Introduction to Process Capability
• Process Capability Assessments

Analyze

• Cause and Effect Diagrams
• Failure Mode and Effects Analysis
• Introduction to Inferential Statistics
• Introduction to Hypothesis Testing
• Simple Linear Regression
• Introduction to Probability
• Probability Distributions: Discrete Random Variables
• Continuous Probability Distributions Normal Curve
• Confidence Interval for the Mean
• Hypothesis Tests for the Mean
• Comparing Means
• Making Inferences about Variance
• Analysis of Variance: ANOVA
• Hypothesis Testing for Nonparametric Data
• Multiple Regression

Improve

• Introduction to Design of Experiments
• Design of Experiments: Basic and Full Factorial
• 5s
• Visual Management
• Standard Work
• Error Proofing
• Changeover Reduction
• Workplace Design and Layout
•  Flow and Pull Systems
• Total Productive Maintenance
• Selecting the Solution

Control

• Control Charts
• Controlling the Process