Lean Six Sigma Black Belt Certification Program Traditional Classroom

About the Program
This course is for Green Belts who want to advance their knowledge and become IIL Certified Lean Six Sigma Black Belts. Many participants have gone on to make Process Improvement their full-time role, and this class prepares them to lead cross-functional teams through challenges that traditionally need more data analysis.

In this class, you will learn how to utilize a more advanced statistical software program called Minitab® (provided at no additional cost) to perform advanced statistical analysis. You will also learn best practices within organizational change management.

Who Should Attend
Previously trained Green Belts who want to become certified Black Belts.

Performance Focus
If advanced statistical analysis is needed to identify root causes and optimal process improvements, (Lean) Six Sigma Green Belts typically ask Black Belts or Master Black Belts to
conduct these analyses.

Green Belts wanting to advance their statistical abilities will have a considerable amount of hands-on practice in techniques such as Statistical Process Control, Hypothesis Testing, Correlation and Regression, Design of Experiments and many others.

Participants will also work throughout the course on a real-world improvement project from their own business environment. This provides participants with hands-on learning and provides the organization with an immediate return on investment (ROI) once the project is completed. IIL instructors will provide free project coaching throughout the course.

What You Will Learn
You’ll learn how to:

• Use Minitab statistical software
• Decide on sampling strategies, sample size and confidence intervals
• Describe the difference between long-term and short-term process capability
• Measure rework, waste or scrap by computing yield metrics
• Develop and analyze control charts for both continuous and discrete data
• Perform a measurement system analysis
• Apply hypothesis tests to compare variance, means and proportions
• Conduct regression and residual analyses
• Design and analyze experiments

Course Overview
Getting Started

• Introductions
• Course structure
• Course goals and objectives

Review Lean Six Sigma Green Belt

Minitab Introduction

Measurement System Analysis

• MSA for discrete data
• MSA for continuous data

Advanced Process Capability

• Sigma Value, Defect Metrics and Yield Metrics
• Long- and Short-Term Capabilities
• Capability indices

Advanced Statistical Process Control

• Control Charts for Continuous Data
• Control Charts for Discrete Date
• Batching

Handling Non-normal Data

Data Sampling

• Sampling Strategies
• Central Limit Theorem
• Confidence Interval and Sample Size calculations for The Mean and Proportions
• Confidence Interval for Standard Deviation and Median

Hypothesis Testing

• Introduction to Hypothesis Tests
• Tests for Means
  -t-Test, Analysis of Variance (ANOVA), Tukey’s Test
  - Paired data and Blocking
• Tests for Variance (Bartlett’s, Levene’s and F-Tests)
• Tests for Proportions (Chi Square Test)
• Non-Parametric Tests

Correlation and Regression

• Simple Correlation and Regression
• Residual Analysis
• Multiple Correlation and Regression
• Logistical Regression

Design of Experiments

• 2k full factorial designs
• Fractional designs
• Blocking
• Robustness concepts

Organizational Change Management

Managing Successful Project Teams

• Decision-Making Approaches
• Conflict Management
• Effective Project Negotiation

Course Summary and Next Steps

Black Belt Certification Qualifications
Candidates for IIL’s Lean Six Sigma Black Belt
Certification must attend the Black Belt Certification program and achieve a passing score (70% or higher) on each of the four 30-question online exams given over the course of this program. In addition, candidates must lead and complete two projects within one year of completing the Black Belt program.