Lean Six Sigma Black Belt

Course Curriculum

Chapter 1: Course Overview

Lecture 1: Learning Objectives

Lecture 2: Course Contents

Chapter 2: Foundation

Lecture 1: Lean Six Sigma Introduction

Lecture 2: Lean Six Sigma and Process Issues

Lecture 3: Applications of Lean Six Sigma

Lecture 4: Six Sigma Overview

Lecture 5: DMAIC Methodology

Lecture 6: Lean Enterprise

Chapter 3: Define

Lecture 1: Define Phase Overview

Lecture 2: Voice of Customer (VOC)

Lecture 3: Critical to Quality (CTQ)

Lecture 4: SIPOC

Lecture 5: Stakeholder Analysis

Lecture 6: Project Charter

Chapter 4: Measure

Lecture 1: Measure Phase Overview

Lecture 2: Process Map Overview-1

Lecture 3: As-is Process Review (Process Definition)

Lecture 4: VSM – Creation

Lecture 5: Value Stream Mapping (VSM)

Lecture 6: VSM Common Metrics

Lecture 7: Value Stream Mapping (VSM) – Calculation (Little's Law)

Lecture 8: Data Collection and Analysis(Basic Statistics)

Lecture 9: Value Add Flow Analysis 1

Lecture 10: Data Accuracy & Precision(Measurement System Analysis-MSA)

Lecture 11: Process Capability & Stability

Chapter 5: Analyze

Lecture 1: Analyze Phase – Overview

Lecture 2: Patterns of Variation

Lecture 3: Inferential Statistics

Lecture 4: Hypothesis Testing

Lecture 5: Hypothesis Testing with Normal Data

Lecture 6: Hypothesis Testing with Non-normal Data

Chapter 6: Improve

Lecture 1: Improve Overview

Lecture 2: Potential Solutions Generation

Lecture 3: Lean Solutions/Tools

Lecture 4: Mistake-Proofing

Lecture 5: Select the Best Solution

Lecture 6: Pilot Implementation

Lecture 7: Simple Linear Regression

Lecture 8: Multiple Regression Analysis (MRA)

Lecture 9: Designed Experiments or Design of Experiments (DOE)

Lecture 10: Full Factorial Experiments

Lecture 11: Example-Create Factorial Design

Lecture 12: Example-Analyze Factorial Design-V1

Lecture 13: Example-Analyze Factorial Design-V2

Lecture 14: Example-Analyze Factorial Design-V3

Lecture 15: Example-Analyze Factorial Design-V4

Lecture 16: Example-Factorial Plots

Lecture 17: Example-Cube Plot

Lecture 18: Example-Surface Plot

Lecture 19: Example-Contour Plot

Lecture 20: Example-Contour Plot of Cost

Lecture 21: Example-Response Optimizer

Lecture 22: Fractional Factorial Designs

Lecture 23: Confounding effect

Lecture 24: Experimental Resolutions

Lecture 25: IP_EoM Summary

Chapter 7: Control

Lecture 1: Control Overview

Lecture 2: Lean Controls

Lecture 3: Statistical Process Control

Lecture 4: Six Sigma Control plan

Chapter 8: Value Adds

Lecture 1: IASSC Reference Document

Chapter 9: Class Deck

Lecture 1: Define Phase

Lecture 2: Measure Phase

Lecture 3: Analyze Phase

Lecture 4: Improve Phase

Lecture 5: Control Phase

Chapter 10: Simulated Exams