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Lean Six Sigma Black Belt
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Capstone Simulations
Lean Six Sigma Yellow Belt
Project Management
Lean Six Sigma Green Belt
WinAt-Work Soft-Skills

Description - Lean Six Sigma Black Belt

Lean Six Sigma is a disciplined process improvement approach focused on reducing waste, increasing customer satisfaction, reducing variability, and improving profitability. The Lean Six Sigma Black Belt course enables you to become an expert Lean Six Sigma practitioner. At the end of the course, you will be equipped to lead complex projects – blending the tools of Lean, along with the precision of DMAIC problem-solving methodology and advanced statistical toolsets. Using our Blended Learning Design, Black Belt students utilize visually eye-catching on-line modules to gain a deeper understanding of Lean and DMAIC methodologies. Classroom and/or Virtual Classroom sessions allow Instructors to build upon this knowledge and focus the learning for immediate action.

What is included?

Total e-Learning = 43 hrs Total class time = To be determined based on your Blended Learning classroom approach. *This course should employed with Blended Learning classroom approach.
Six Sigma Introduction Introduction to Lean Introduction to Lean Office and Service Project Management Introduction Voice of the Customer Managing the Project Kaizen Event SIPOC Mapping the Process Introduction to the Theory of Constraints 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 5S Plus Safety Introduction to Process Capability Process Capability Assessments Cause and Effect Diagrams Failure Mode and Effects Analysis Visual Management Error Proofing Probability Distributions: Discrete Random Variables Continuous Probability Distributions: Normal Curves Introduction to Inferential Statistics Confidence Interval for the Mean Hypothesis Tests for the Mean Comparing Means Inferential Statistics: Self Assessment Hypothesis Testing for Nonparametric Data ANOVA Making Inferences about Proportions Making Inferences about Variances Simple Linear Regression Multiple Regression Introduction to Design of Experiments DOE: Basic and Full Factorial Designs Fractional Factorial Designs (coming soon) Total Productive Maintenance Workplace Design Changeover Reduction Standard Work Flow and Pull Systems Selecting the Solution Control Charts Controlling the Process OPTIONAL Introduction to Probability A3 Problem Solving Managing Change Black Belt Test Prep: Modules 1-5