Six Sigma

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UNIT 1: INTRODUCTION TO SIX SIGMA

CHAPTER 1: WHAT IS SIX SIGMA?

Data Driven Processes and Decisions
Defining 6
Common Six Sigma Principles
Challenges of Six Sigma

CHAPTER 2: SIX SIGMA HISTORY AND APPLICATION

The Development of Statistical Process Control
Motorola’s Focus on Defects
ABB, Allied Signal, and General Electric
Continued Growth of Six Sigma
Applying Six Sigma Knowledge

CHAPTER 3: OTHER PROCESS IMPROVEMENT AND QUALITY METHODS

Other Formal Quality or Process Improvement Programs
When to Use Six Sigma

CHAPTER 4: LEAN CONCEPTS

The Seven Muda
Other Forms of Waste
Two Types of Muda
5S
Just-in-Time Manufacturing

CHAPTER 5: BASIC SIX SIGMA CONCEPTS

Standard Deviation
The Pareto Principle
Voice of the Customer
Basic Metrics

CHAPTER 6: APPROACHING THE PROBLEM

Problem Functions: y = f(x)
The 5 Whys
Creating a Problem Statement

UNIT 3: ADVANCED DMAIC

CHAPTER 12: DEFINE

Creating a Project Charter
Project Ground Rules
Define Toolset
Define Tollgate Checklist

CHAPTER 13: MEASURE

Failure Modes and Effect Analysis
Collecting Data
Measure Tollgate Checklist

CHAPTER 14: ANALYZE

Root Cause Analysis
Graphical Analysis
Statistical Analysis
Analyze Tollgate Checklist

CHAPTER 15: IMPROVE

Solutions Selection Matrix
Cost Benefit Analysis
Piloting a Solution
Planning Implementation
Improve Tollgate Checklist

CHAPTER 16: CONTROL

Revise FMEA
Create a Control Plan
Visual Management
SPC Chartsn
Team Celebration and Reflection
Control Tollgate Checklist

UNIT 5: INTERMEDIATE STATISTICS

CHAPTER 20: NON-NORMAL PROBABILITY DISTRIBUTIONS

Reviewing Normal Probability Distributions
Non-Normal Continuous Distributions
Non-Normal Discrete Distributions
Applying Data to Real-World Situations

CHAPTER 21: HYPOTHESIS TESTING

Hypothesis Test Basics
Selecting the Right Hypothesis Test
Why Run Hypothesis Tests
Running Hypothesis Tests

CHAPTER 22: SAMPLE SIZE

A Review of Hypothesis Testing Errors
What Information is Required for Choosing Sample Size?
Sample Size Calculations: Choosing the Right Method
Running and Analyzing Sample Size Tests in Minitab

CHAPTER 23: ADVANCED CONTROL CHARTS

Common Control Chart Types and When to Use Them
Creating and Reading Control Charts in Minitab

CHAPTER 24: APPLYING STATISTICS TO BUSINESS APPLICATIONS THROUGH SIX SIGMA

Common Challenges When Presenting Statistical Analysis
Why Include Some Statistics?
Tips for Creating Business-Friendly Presentations

UNIT 7: EXPERIMENTS

CHAPTER 28: ANALYSIS OF VARIANCE (1-WAY ANOVA)

Preparing for a 1-Way ANOVA
Running a 1-Way ANOVA

CHAPTER 29: DESIGN OF EXPERIMENTS

When Analysis Can Occur on Existing Data
Why Run an Experiment?
Best-Guess Trial-and-Error versus Factorial Experiments
What is Factorial Experimentation?
Step-by-Step Guide for Creating a Designed Experiment
Step-by-Step Guide to Running a 2k Factorial Experiment in Minitabt
Next Steps

CHAPTER 30: INTERACTIONS, MULTI-LEVEL FACTORIALS, AND CREATING EXPERIMENTS

The Importance of Understanding Interactions
2k Factorials Versus Multi-Level Factorials?
Tips for Creating Successful Designed Experiments





UNIT 2: PROJECTS AND PROCESSES

CHAPTER 7: WHAT IS A PROCESS?

What is a Process?
Major Process Components
Process Owners
Data
Defining Process Components: The SIPOC
Tips for a SIPOC Brainstorming Session
Sample SIPOC Diagrams

CHAPTER 8: QUALITY

Critical to Quality Characteristics
The CoQ and the CoPQ
Quality is Critical to Success

CHAPTER 9: SELECTING THE RIGHT PROJECTS

Juggling the Right Amount of Projects
Enterprise-Level Selection Process
See for Yourself

CHAPTER 10: BASIC SIX SIGMA TEAM MANAGEMENT

Building a Six Sigma Team
Timelines, Scheduling, and Milestones
Budgets

CHAPTER 11: INTRODUCTION TO DMAIC AND DMADV

DMAIC versus DMADV
Define
Measure
Analyze
Improve
Control
Design
Verify
Breaking up the Elephant

UNIT 4: BEGINNER STATISTICS

CHAPTER 17: INTERMEDIATE GRAPHICAL ANALYSIS

Additional Graphical Analysis Tools
Creating an X-Bar Control Chart without Statistical Software
Adding Free Data Analysis Tools to Excel

CHAPTER 18: NORMAL PROBABILITY DISTRIBUTIONS

Probability distributions
Creating a Histogram in Excel
Normal Distributions
Normal Probabilities

CHAPTER 19: CORRELATION AND REGRESSION

Correlation
Linear Regression Analysis
Using Correlation and Regression in Six Sigma

UNIT 6: ADVANCED CONTROL

CHAPTER 25: INTRODUCTION TO MINITAB

Overview of the Minitab Interface
Overview of the Minitab Menu
The Calc Menu Option

CHAPTER 26: GRAPHS AND QUALITY TOOLS IN MINITAB

The Graph Menu Option
The Stat Menu: Quality Tools
Gage Studies

CHAPTER 27: THE STAT MENU IN MINITAB

Basic Statistics
Statistical Tests

UNIT 8: MINITAB

CHAPTER 31: BRAINSTORMING AND PROCESS IMPROVEMENT TOOLS

Activity Network Diagram
Affinity Diagram
Interrelationship Diagram
Force Field Analysis
Responsibility Chart
Nominal Group Technique
Check Sheets
SWOT Analysis
Starburst Brainstorming
Role-Play or Figuring Brainstorming
Brainwriting
Brainstorming Alone

CHAPTER 32: PROCESS MAPS

Why Create Process Maps
Two Types of Process Map
Process Map Symbols
Basic Flow Charts
Creating a Swimlane Diagram
Tips for Creating Concise, Attractive Process Maps

CHAPTER 33: VALUE STREAM MAPPING

What is Value Stream Mapping?
Value Stream Map Symbology
Value Stream Mapping Tips
Value Stream Mapping Steps
What Do You Do with Value Stream Maps?
Tips for Creating a Future-State Value Stream Map


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