Six Sigma Yellow Belt (CSSC)

Course Curriculum

Chapter 1: Introduction to Six Sigma

Lecture 1: Course Intro

Lecture 2: Better Learning

Lecture 3: What is Six Sigma?

Lecture 4: Defining 6σ

Lecture 5: Calculating Sigma Level

Lecture 6: Sigma Level Is Not a Final Indicator

Lecture 7: Principles – Customer Focused Improvement

Lecture 8: Principles – Continuous Process Improvement

Lecture 9: Principles – Variation

Lecture 10: Principles – Removing Waste

Lecture 11: Principles – Equipping People

Lecture 12: Principles – Controlling the Process

Lecture 13: Challenges of Six Sigma

Lecture 14: Challenges – Lack of Support

Lecture 15: Challenges – Lack of Resources or Knowledge

Lecture 16: Challenges – Poor Project Execution

Lecture 17: Challenges – Data Access Issues

Chapter 2: Six Sigma History and Application

Lecture 1: Six Sigma History and Application

Lecture 2: The Development of Statistical Process Control

Lecture 3: Continuous Process Improvement: Toyota and Lean

Lecture 4: Motorola’s Focus on Defects

Lecture 5: ABB, Allied Signal, and General Electric

Lecture 6: Continued Growth of Six Sigma

Lecture 7: Applying Six Sigma Knowledge – The Levels of Six Sigma Certification

Lecture 8: Certification Exams

Chapter 3: Other Process Improvement and Quality Methods

Lecture 1: Other Process Improvement and Quality Methods

Lecture 2: Lean Process Management

Lecture 3: Total Quality Management

Lecture 4: Business Process Reengineering

Lecture 5: Rummler-Brache

Lecture 6: Scrum

Lecture 7: The Customer Experience Management Method (CEM)

Lecture 8: JumpStart

Lecture 9: When to Use Six Sigma

Lecture 10: Practice Activity 1

Lecture 11: Practice Activity 2

Lecture 12: Practice Activity 3

Chapter 4: Lean Concepts

Lecture 1: Lean Concepts

Lecture 2: The Seven Muda

Lecture 3: Overproduction

Lecture 4: Correction

Lecture 5: Inventory

Lecture 6: Motion

Lecture 7: Conveyance

Lecture 8: Over-processing

Lecture 9: Waiting

Lecture 10: Other Forms of Waste

Lecture 11: Two Types of Muda

Lecture 12: The 5S Methodology

Lecture 13: Just-in-Time Manufacturing

Chapter 5: Basic Six Sigma Concepts

Lecture 1: Standard Deviation

Lecture 2: Calculating Standard Deviation for Population Data

Lecture 3: Calculating Standard Deviation with Sample Data

Lecture 4: Standard Deviation in Excel and Equivalent

Lecture 5: Why Calculate Standard Deviation?

Lecture 6: The Pareto Principle

Lecture 7: Creating a Basic Pareto Chart in Excel

Lecture 8: Use of Pareto Charts

Lecture 9: Voice of the Customer

Lecture 10: Building a VOC Campaign

Lecture 11: Specific Feedback

Lecture 12: Selecting the Right VOC Tools

Lecture 13: The Likert Scale

Lecture 14: Basic Metrics

Lecture 15: First Time Yield (FTY)

Lecture 16: Rolled Throughput Yield (RTY)

Chapter 6: Approaching the Problem

Lecture 1: Approaching the Problem

Lecture 2: The 5 Whys

Lecture 3: When to Use 5 Whys

Lecture 4: Conducting a 5 Whys Session

Lecture 5: Creating a Problem Statement

Lecture 6: Example of a Weak Problem Statement

Lecture 7: Writing Your Own Problem Statement

Lecture 8: Problem Statements Lead to Objective Statements or Goals

Lecture 9: Scope and Scope Creep

Chapter 7: Projects and Processes

Lecture 1: What is a Process?

Lecture 2: Four Layers of the Process Definition

Lecture 3: Processing Time

Lecture 4: Interdependencies

Lecture 5: Resources and Assignment

Lecture 6: Major Process Components

Lecture 7: Inputs

Lecture 8: Outputs

Lecture 9: Events