Six Sigma For Dummies®, 2nd Edition

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Table of Contents

Introduction
About This Book
Conventions Used in This Book
What You’re Not to Read
Foolish Assumptions
How This Book Is Organized
Part I: Getting Acquainted with Six Sigma Basics
Part II: DMAIC: Defining and Measuring
Part III: DMAIC: Analyzing
Part IV: DMAIC: Improving and Controlling
Part V: Looking at the Six Sigma Technology Tool Landscape
Part VI: The Part of Tens
Icons Used in This Book
Where to Go from Here
Part I: Getting Acquainted with Six Sigma Basics
Chapter 1: Better Business and Better Performance: Defining Six Sigma
Discovering What’s Behind the Name
Tackling Six Sigma from the Managerial Perspective
Bridging science and leadership
Management system orientation
Chapter 2: Linking Quality and Business
Specifications: Listening to the Voice of the Customer
How close is close enough? Understanding the need for specifications
Defining specifications
Do you do the RUMBA? Creating realistic specifications
Examining What Quality Truly Is
Discovering the cost of poor quality curve: Football and Taguchi’s loss function
Avoiding the hidden factory
Looking at How Quality Beliefs Determine Behavior
Comparing belief systems side by side
Journeying from one to many
Connecting quality and variation
Calculating Six Sigma quality
Chapter 3: Examining the Principles and Language of Six Sigma
Starting Out with One Simple Equation: Y = f(X) + ε
Principle 1: Recognizing Determinism
Seeking cause and effect
Correlation doesn’t imply causation: Resisting superstitious delusions
Principle 2: Reducing Variation
Understanding variation
Categorizing common cause versus special cause variation
Coping with variation
We’re adrift: Peeking at short-term and long-term variation
Principle 3: Measuring for Success
Minding your Ys and Xs
Summing it up with data
Principle 4: Applying Leverage
Appreciating the difference between the critical few and the trivial many
Separating and utilizing the critical few
Principle 5: Managing Risk
Chapter 4: Organizing for Improvement
DMAIC: Introducing Your Project Strategy
Venturing to the Domains of Activity
Thinking for breakthrough
Processing for breakthrough
Designing for breakthrough
Managing for breakthrough
Filling the Roles: Who You Need to Know
Starting at the top
Assembling the core team
Focusing on functional representatives
Spotting the deployment leader
Meeting the Six Sigma Champion
Number-crunching karate: Black Belts and their brethren
Following the Five Stages of a Six Sigma Initiative
Initializing: Ready, aim . . .
Deploying: Setting the infrastructure in motion
Implementing: Forging first successes
Expanding: Taking it everywhere
Sustaining: The self-healing culture
Part II: DMAIC: Defining and Measuring
Chapter 5: Identifying and Right-Sizing Projects
Launching a Six Sigma Project
Scoping the perfect project
Transforming the problem
Knowing your goals and needs
Determining project responsibilities
Writing the Business Case
Starting with candidate business-case statements
Selecting the business case
When You’re Ready: Defining a Six Sigma Project
Following the steps of the project definition process
Identifying the significant Y
Understanding how bad it actually is
Deciding whether a project is worthwhile
Chapter 6: Launching a Project
Describing the Problem with a Problem Statement
Deciding How Much Improvement Is Enough
Asking “How much am I entitled to?”
Acknowledging that other hidden opportunities exist
Going for breakthrough improvement
Setting an Improvement Target with Your Objective Statement
Getting a Project Approved and Assigned
Chapter 7: Mapping to Identify Possible Factors
Breaking Down Process Flow
Drawing a process map
Defining and visualizing the process points
Acknowledging the as-is state
Developing a SIPOC
VSM: Charting the Value Stream
Introducing a stream of resources, information, and value
Creating a VSM for your process
Chapter 8: Diagramming to Identify Possible Factors
Breaking Down Brainstorming Tools
Affinity diagrams
Fishbone (Ishikawa) diagrams
Focusing on Failure Mode Effects Analysis (FMEA)
Listing process steps
Identifying requirements and recording potential failure modes
Spelling out effects of failures
Scoring the severity of the effects
Listing causes of failure modes
Scoring the occurrence of the cause
Identifying current controls
Scoring the detection of the controls
Calculating and reviewing RPN scores
Devising and assigning improvement actions
Chapter 9: Describing Performance with Numbers
Recognizing Different Types of Data
Identifying attribute (category) data
Classifying continuous (variable) data
Using Statistics to Make Sense of Data
Beginning with measurement 101: Distribution
Measuring distribution location
Calculating the width of variation
The Long and Short of Variation
Sizing up short-term variation
Shift happens: Looking at long-term variation
Being all you can be: Entitlement
Part III: DMAIC: Analyzing
Chapter 10: Depicting and Analyzing Data through Charts and Graphs
Checking Out Dot Plots and Histograms
Creating your own dot plots and histograms
Interpreting dot plots and histograms
Comparing Distributions in Box and Whisker Plots
Making your own box and whisker plot
Making sense of box and whisker plots
Making Connections with Scatter Plots
Developing a scatter plot
Drawing correlations from a scatter plot
Hindsight Is 20/20: Observing Process Behavior Charts
Creating a characteristic or process behavior chart
Interpreting characteristic or process behavior charts
Chapter 11: Analyzing for Value
Understanding and Achieving Value: It’s Customer-Driven
Ascertaining value
Waste not: Defining the seven forms of waste
Kano’s framework: Hearing the voice of the customer
Analyzing Process Flow for Value: Introducing Take One, Make One
Considering Cause-and-Effect (C and E) Analysis
Laying out the matrix
Adding some weight
Figuring the final score
Go team! Appreciating group input when using C and E
Leveraging Your Old Friend FMEA for Value
Chapter 12: What’s Normal? Recognizing Normally-Shaped Variation
Defining Normal: Bell-Shaped Variation and Probability
Meeting the model: The standard normal distribution
Working with nonstandard normal data: The Z transformation
Using Excel to calculate normal probabilities
Checking How Well Data Follow a Normal Curve: Normal Probability Plots
Constructing a normal probability plot
Interpreting your normal probability plot
Chapter 13: Assessing Capability: Comparing the Voices of the Customer and the Process
Working with Yield and Defect Rates
Measuring yield
Measuring defect rate
Brought to you by the number e: Linking yield and defect rate
What’s Your Sigma, Baby? Deciphering Sigma (Z) Score
Breaking down how many standard deviations can fit
Comparing short-term versus long-term sigma score calculations
Linking short-term capability to long-term performance with the 1.5-sigma shift
Considering Capability Indices
Short-term capability index (C P)
Adjusted short-term capability index (C PK)
Long-term capability indices (P P and P PK)
Prescribing a capability improvement plan
Chapter 14: Gauging Gauges: Measurement System Analysis (MSA)
Avoiding Illusion: Measurement System Capability Analysis
Looking at variation in a measurement system
Sources of measurement system variation
Measuring Measurements: Measurement System Analysis (MSA)
Audit measurement system studies
Attribute measurement system studies
Gauge or continuous variable measurement system studies
Chapter 15: Mining Data and Processes for Insight
Filling the Funnel
Let the data do the talking
Cast a big net
Mining Data for Insight
Go with what you have: Observational studies
Digging in: Identifying potential sources of variation through graphical analysis
Nearly Magical Multi-Vari Charts: Expertly Screening Factors
Categorizing the variations
Putting it all together: Creating a multi-vari sampling plan
Constructing a multi-vari chart
Interpreting a multi-vari chart
Checking out a Multi-Vari Example
Chapter 16: Making Confident Decisions
Introducing Populations and Samples
Parameter Distributions from Multiple Samples: Using the Central Limit Theorem
Calculating Decision Risk: Confidence Intervals
Confidence intervals for means
Confidence intervals for standard deviations
Four out of five recommend: Confidence intervals for proportions
Part IV: DMAIC: Improving and Controlling
Chapter 17: Forecasting Future Performance
Seeing the Correlation
Getting a Handle on Curve Fitting
Finding the line: Simple linear regression
Discovering residuals and the fitted model
Practicing tools for fitting lines
Moving on to multiple linear regression
Chapter 18: Designing, Conducting, and Analyzing Experiments (DOE)
Seeing the Improvement Power of Six Sigma Experiments
Achieving better understanding through experiments
Getting schooled on the terms
The end game of Six Sigma experiments
Looking Before You Leap: Experimental Considerations
The trial-and-error approach
The one-factor-at-a-time approach
The boil-the-ocean approach
The Six Sigma approach: Multitasking and progressing
Setting up 2 k Factorial Experiments
Planning your experiment
Conducting your experiment
Analyzing your experiment
You’ve Only Just Begun: Looking at More Topics in Experimentation
Chapter 19: Standardizing on Improvement
Satisfying the Need for Control Planning
The process management summary
The process control plan
5S: Housekeeping for Sustained Improvement
Mistake-Proofing with Poka-Yoke
Leveraging FMEA as a Control Tool
Setting and Following Standards
Chapter 20: Maintaining Gains through Statistical Process Control
Getting to Know Control Charts
Monitoring the process
Understanding control limits
Using control charts to keep processes on track
Detecting patterns, shifts, and drifts
Collecting data for control charts
Setting Up Control Charts for Continuous Data
Individuals and moving range chart (I – )
Averages and ranges chart ( – R chart)
Averages and standard deviation chart ( – S)
Making Control Charts for Attribute Data
The p chart for attribute data
The u chart for attribute data
Part V: Looking at the Six Sigma Technology Tool Landscape
Chapter 21: Eyeing Process Characterization and Optimization Technologies
Understanding the Platforms and Protocols
Paper and pencil
Looking at desktops and laptops
Upgrading to smartphones and tablets
Expanding to enterprise-class options
Knowing When Going Manual Makes Sense (And Doesn’t)
Using Basic Desktop Tools
Getting a handle on the Office suite
Process mapping with Visio
Perusing Process Intelligence Tools
Diving into Desktop Process Mapping Technology
Exploring Enterprise-Class Technology
Chapter 22: Tools for Performing Six Sigma Analysis
Tackling Technology for Analytics
Making room for manual computations
Holding out for hand-held calculators
Opting for online calculators
Looking at the local computer
Using Standard Spreadsheets
Taking on Bigger Projects with Specialized Statistical Analysis Tools
Sampling spreadsheet add-ons
Perusing dedicated statistics packages
Minitab
JMP
Other stats packages
Chapter 23: Managing Six Sigma
Managing Your Projects Skillfully
Involving all the right people
Being in charge of your toolkit
Through the Looking Glass: Communicating Like a Leader
Helping Yourself to Project Management Tools
Capturing ideas with ideation tools
Defining the project
Pick a winner! Selecting the project
Tracking the project
Just the Facts, Ma’am: Intelligence Tools
Gaining process intelligence
Dealing with dashboards
Keeping a balanced scorecard
Collaborating in Style: Knowledge Management
Part VI: The Part of Tens
Chapter 24: Ten Top Do’s and Don’ts of Six Sigma
Do Target Tangible Results
Do Think Before You Act
Do Put Your Faith in Data
Do Align Projects with Key Goals
Do Unleash Everyone’s Potential
Do Leverage Technology
Don’t Deploy Six Sigma without a Leader
Don’t Take Too Big a Bite
Don’t Think, “But We’re Different”
Don’t Overtrain
Chapter 25: Ten Ways to Gain Synergies with Lean and Six Sigma
Add Customer Value
Map the Value Stream
Strive for Flow
3-Gen: Go to Gemba
Muda-Mura-Muri: Expand Your Definition of Waste
5S the Workplace
Keep Simple Things Simple
Remember that Everyone Plays a Part
View Improvement as a Mindset
Make Sure Managers Improve, Too
Chapter 26: Ten Places to Go for Help
Court Your Colleagues
Web Searches and Social Networks
Contact Six Sigma Corporations
Join Associations and Societies
Attend Conferences
Read The Books
Talk to Technology Vendors
Chat with Consultants
Survey the Six Sigma Trainers
Cheat Sheet
End User License Agreement

Six Sigma For Dummies®, 2nd Edition

About the Authors of the Revised Edition

Craig Gygi began studying and applying the elements of Six Sigma and Lean before they were formalized into today’s renowned improvement methodologies. As a graduate student in Mechanical Engineering at Brigham Young University, he integrated these cutting-edge improvement techniques into his coaching of student product development teams. Upon beginning his career at Motorola, he was formally introduced to the emerging Six Sigma method. It resonated deeply with his previous findings. From that time, Craig has applied, taught, and led Six Sigma in all his endeavors, including technical, management, and executive capacities at Iomega, General Atomics, ES3, and Fiji Water.

Craig now serves as Executive VP of Global Operations for MasterControl. MasterControl produces software solutions that enable regulated companies to manage their critical quality procedures and get their products to market faster, while reducing overall costs and increasing internal efficiency.

A Master Black Belt, Craig has wielded Six Sigma and Lean techniques now for over 18 years, spanning projects from design to manufacturing to business process management, and at companies as varied as Abbott Labs, American Express, and the US Air Force. He is also an expert teacher, having instructed and mentored at all levels.

Craig lives in Utah with his wife and children, where they enjoy its varied landscape and outdoor activities.

Bruce David Williams has been fascinated with complex systems since the launch of Sputnik on his birthday. With degrees from the University of Colorado in physics and astrophysics, he embarked on a career in aerospace systems, where he first encountered Six Sigma after Motorola won the inaugural Baldridge Award in 1988. Later, with graduate degrees from Johns Hopkins and Colorado in computer science and technical management, and as a member of the Hubble Telescope development team, he became intrigued with how large system failures could result from the breakdown of small components. He entered the Six Sigma industry in the late-1990s when he co-founded a software company to develop products for life-cycle traceability.

Bruce has since been the co-founder of two Six Sigma research and technology firms, including the Six Sigma Management Institute. He was co-founder and CEO of Savvi International, a provider of solutions for business performance improvement. He joined webMethods in 2006 to integrate enterprise-class information technologies with business process management and now is the Vice President of Pegasystems, the world leader in business process management.

Bruce resides in the desert foothills of north Scottsdale, Arizona, with his wife and assortment of dogs, cats, birds, horses, and varied native wildlife.

Dedication

Craig Gygi: To Esti, my unexpected joy.

Bruce Williams: To Hannah and Evan, my remarkable children, as they transition into independent adulthood and put the concept of variance reduction to practical use.

About the Co-Author of the First Edition

Neil John DeCarlo was a professional communicator in the continuous improvement, Lean, Six Sigma, sales and marketing, innovation, and corporate finance fields for nearly 25 years, beginning with his work at Florida Power & Light Company when it won the coveted Deming Prize for quality. Following that time, he authored, ghostwrote, or edited more than 150 articles and eight books in association with such companies as General Electric, DuPont, Bose Corporation, BMGI, McKinsey & Company, UPS, AT&T, the Six Sigma Academy, and many others. Neil also worked with several CEOs and consultants, including Japanese quality expert Dr. Noriaki Kano and the original co-architect of Six Sigma, Dr. Mikel Harry.

In addition to his writing accomplishments, Neil managed communication and publishing campaigns for a variety of companies, most notably BMGI, an international consulting firm that teaches and deploys Lean Six Sigma, innovation, and such other methods as Hoshin strategic planning. While not working, Neil enjoyed most all outdoor sports, reading, questioning everything, and practicing yoga. He lived in a small town called Fountain Hills, just outside Scottsdale, Arizona, with Jeannie — his lovely wife and best friend.

Dedication

To Wanda Texon, who helped me believe in myself a long time ago, and who has been a constant source of support and intellectual stimulation for many years.

Authors’ Acknowledgments to the 2nd Edition

We’re grateful for those who contributed their efforts and support to this 2nd edition of Six Sigma For Dummies.

Our deepest gratitude and thanks to Dr. Stephen R. Covey for his foreword — but much more so for his profound life-long insights and contributions to the betterment of individual leadership. Only a few weeks before the printing of this 2nd edition, Dr. Covey passed away. His passing poignantly reminded us of the transcendent power of the individual — both in the example of his own life and his remarkable in# uence on the world — and in the similar potential he taught resides within each of us.

Thank you also to Natalie Sayer, co-author of both the 1st and 2nd editions of Lean For Dummies (Wiley), for her expert collaboration and assistance.

Publisher’s Acknowledgments

We’re proud of this book; please send us your comments at http://dummies.custhelp.com. For other comments, please contact our Customer Care Department within the U.S. at 877-762-2974, outside the U.S. at 317-572-3993, or fax 317-572-4002.

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Foreword

The world is on the verge of a new economic era. For the past century, the Industrial Age has been defined by tools and skills targeted at control, efficiency, specialization, delegation, scalability, and replicability. Accounting makes people an expense, a piece of equipment, an investment, and people are motivated by the great jackass theory of the carrot and stick. But although this paradigm has led to a 50-fold increase in productivity over the previous farming mindset, it has also led to a control paradigm, an entrenchment of a “leadership by position” mentality, with organizational hallmarks of lack of clarity regarding high priorities, lack of commitment or emotional connection by the workforce, lack of line-of-sight translation to specific action, disenabling systems and processes, no synergy — interpersonally and interdepartmentally — and a lack of accountability.

Studies show that the vast majority of employees possess far more talent, more intelligence, more capability, more creativity, and more ability than their jobs require or even allow. Their deep potential remains dormant, untapped, and unused. Today, the Industrial Age is ending, and the Information Age or Knowledge Worker Age is opening. This new, emerging age is defined by “leadership is a choice” with an empowerment or unleashing-potential mentality; choices guided by values in the light of unchanging principles. In the new paradigm, the greatest asset in any organization is its people — whole people — with their bodies, minds, hearts, and consciences all engaged and contributing, and all receiving benefit in the progress of the organization. A trim tab is a small rudder on a boat or airplane that, through its relatively small motion, allows the bigger rudder to achieve the greater effect and leverage. The leaders of the Information Age act as trim tabs within organizations. Their relatively small actions at the bottom or middle can effect a much greater change throughout an entire organization.

Six Sigma has become a key enabling skill of the new Knowledge Workers of the next generation of trim tabs. One of the great values I admire of Six Sigma is the science, the database — and the careful analytic thought processes of problem solving using that data. Six Sigma empowers and enables you to effect remarkable change, no matter your position in your organization. The maturing world has transformed the previously exclusive, academic knowledge of Six Sigma into must-have best practices for everyone wishing to advance and contribute. In a knowledge economy where 70 to 80 percent of the value added to goods and services comes from knowledge work, can you imagine the results flowing from having the entire workforce Six Sigma literate?

That’s why Six Sigma For Dummies is a book to be read by everyone.

Stephen R. Covey

Author, The 7 Habits of Highly Effective People, The 8th Habit, and The Leader in Me: How Schools and Parents Around the World Are Inspiring Greatness, One Child at a Time

Introduction

Six Sigma is the single most effective problem-solving methodology for improving business and organizational performance. There’s not a business, technical, or process challenge that Six Sigma can’t improve. The world’s top corporations have used it to increase their profits collectively by more than $100 billion over the past ten years. In certain corporations, indicating Six Sigma proficiency on your résumé is now a prerequisite to moving into a position in management.

If you’re part of a Fortune 500 company — particularly a manufacturing company — you’ve heard about Six Sigma. You may even have been through a training regimen and been part of a corporate initiative or an improvement project. If so, you know the capabilities of Six Sigma; you’ve witnessed its achievements firsthand.

But if, like many people, you’re outside of the upper echelons of big business, you may know Six Sigma by name only. It has been too expensive and complicated for small- and medium-sized businesses, public institutions, not-for-profit organizations, educational environments, and even aspiring individuals. Its potential has remained out of reach for the vast majority of professionals and organizations worldwide.

All this is changing. As the methods and tools of Six Sigma have spread, it has become easier to understand and more straightforward to implement. The mysteries of Six Sigma have been revealed.

Simply stated, Six Sigma is about applying a structured, scientific method to improve any aspect of a business, organization, process, or person. It’s about engaging in disciplined data collection and analysis to determine the best possible ways of meeting your customers’ needs while satisfying yours and minimizing wasted resources and maximizing profit in the process. Six Sigma For Dummies, 2nd Edition, helps you do just that.

About This Book

This book makes Six Sigma accessible to you. We wrote it because Six Sigma is applicable everywhere — not only in large and complex corporations but also in the less complex and more intimate worlds of professional performance and personal accomplishment.

We wrote this book for you, the individual. You may be a small business owner, an ambitious career person, a manager who wants to know what Six Sigma is and how to apply it, a college student, or an applicant who wants to have an edge on upcoming job interviews. For you, this book is the place to turn.

Six Sigma For Dummies, 2nd Edition, is more than an overview or survey of Six Sigma. It’s a comprehensive, actionable description of the methods and tools of Six Sigma. In this book, you find

A reference book that’s organized into parts, chapters, and sections so that you can flip right to what you need, when you need it

A comprehensive text that addresses both the statistics of Six Sigma and the improvement methodology

A description of how Six Sigma and Lean now combine to form the best of both improvement methodologies

A guide for leading a Six Sigma initiative, selecting and managing Six Sigma projects, and executing specific Six Sigma tools and analytical procedures

A step-by-step instruction manual for the Define, Measure, Analyze, Improve, and Control phases of the Six Sigma process

A set of resources you can go to for additional help

Sure, Six Sigma is rigorous, technical, and analytical. But we’ve taken this difficult subject and made it understandable through examples, simple explanations, and visual aids.

Conventions Used in This Book

When a specialized word first appears in this book, we italicize it and provide a definition. For many terms and phrases that industry practitioners use as acronyms, we define the term first and then use it in its abbreviated form going forward. Additionally, we use bold text to highlight the steps you take in numbered lists and the keywords in bulleted lists. Websites appear in monofont.

When we use the term data, we always mean it in the plural sense. Although statisticians debate about using data in both a plural and singular sense, we stick with the plural only because our editor told us we had to. Otherwise, datum is the singular form.

We do use some business management and statistical concepts and language. If you want to get extra smart, check out the latest editions of Managing For Dummies by Bob Nelson and Peter Economy and Statistics For Dummies by Deborah Rumsey (both published by Wiley).

What You’re Not to Read

We know you’re busy, so if you’re short on time, you can skip the text in the gray-shaded sidebars and anything flagged by a Technical Stuff icon. These tidbits are interesting but contain more historical or technical detail than you need to understand the basic topic at hand.

Foolish Assumptions

We assume you’ve heard about Six Sigma and are intrigued and compelled to find out more for any one or more of the following reasons:

You’re contemplating applying Six Sigma in your business, and you need to understand what you may be getting yourself into.

Your business is implementing Six Sigma, and you need to get up to speed. Perhaps you’ve even been tapped to participate as a Champion, Black Belt, Green Belt, or Yellow Belt.

You believe Six Sigma is a pathway to better performance in your job and can help you advance your career.

You’re considering a career or job change, and your opportunities require you to understand Six Sigma.

You’re a student in industrial engineering or business school and realize that Six Sigma is part of a path to success.

We also assume that you realize Six Sigma demands a rigorous and structured approach to problem-solving that calls for capturing data and applying statistical analysis to discover the true causes of the challenges you may be facing in manufacturing, service, healthcare, or even transactional environments. For that reason, several chapters of this book describe and define the statistical tools of Six Sigma.

How This Book Is Organized

We break this book into six separate parts. Each is written as a stand-alone section, permitting you to move about the book and delve into a given topic without necessarily having to read all the preceding material first. Anywhere we expound upon or extend other material, we reference the chapter or part of origin so that you can tie the discussions together.

Part I: Getting Acquainted with Six Sigma Basics

Part I is an overview of the Six Sigma methodology, the system of deployment, roles, and responsibilities. In this part, we address the key principles underlying the science of Six Sigma and its applications. Chapter 1 is a comprehensive overview of Six Sigma. Chapter 2 connects quality improvement to business performance. Chapter 3 introduces the key principles. Chapter 4 discusses roles and phases in the implementation of a Six Sigma deployment.

Part II: DMAIC: Defining and Measuring

Part II is where we begin digging into the depths and details of practicing Six Sigma by presenting the information in the context of Six Sigma’s DMAIC problem-solving road map. The first two phases, Define and Measure, enable you to properly scope and launch a project (Chapters 5 and 6) and then objectively identify all possible causes of problems (Chapters 7, 8, and 9).

Part III: DMAIC: Analyzing

In this part, we discuss the Analyze phase of Six Sigma’s DMAIC problem- solving road map. This phase is where you objectively eliminate trivial and non-important factors, zeroing in on the true root cause. Chapter 10 shows how you can use basic charts and graphs in this effort. Chapter 11 discusses value analysis, while Chapters 12 and 13 cover normal variation and analyzing for capability. In Chapter 14, you discover the important topic of analyzing your own measurements, and Chapter 15 discusses how to glean insight just from watching a process in operation. Chapter 16 concludes this part by showing you how to measure the risk and confidence in your analysis decisions.

Part IV: DMAIC: Improving and Controlling

Part IV wraps up the methods and tools used in the DMAIC problem-solving road map. The intent of the Improve and Control phases is to synthesize an improvement and then lock in the gains that you’ve achieved. Chapter 17 introduces the science of making predictions about future performance, and Chapter 18 gives you the lowdown on how to design, conduct, and analyze powerful experiments. In Chapter 19, we show you ways to make newly achieved improvements permanent. Chapter 20 covers the important topic of statistical process control.

Part V: Looking at the Six Sigma Technology Tool Landscape

In this part, we present a comprehensive listing of the technology tools and information systems Six Sigma practitioners use. Chapter 21 covers process characterization tools, Chapter 22 deals with analysis tools, and Chapter 23 discusses the important technology tools needed to manage local or enterprise-wide improvement.

Part VI: The Part of Tens

In the For Dummies tradition, this part is a compilation of key reference points. Chapter 24 discusses ten top do’s and don’ts for success. Chapter 25 addresses how to improve on improvement by integrating Lean with Six Sigma. In Chapter 26, we tell you about additional places you can go for help.

Icons Used in This Book

Throughout the book, we use small symbols called icons in the margins to highlight special types of information. Our goal is to help you better understand and apply the material. When you see any of the following icons, they mean the following:

These notes are key points that can help you implement Six Sigma successfully.

When you see this icon, we’re cautioning you to beware of a particular risk or pitfall that may cause you trouble.

This icon flags a detailed technical issue or reference. Feel free to skip right over these paragraphs if you don’t want to dig deeper.

We use this icon to summarize information into short, memorable thoughts.

Where to Go from Here

The beauty of a For Dummies book is that you don’t have to start at the beginning and slowly work your way through. Instead, each chapter is self-contained, which means you can start with whichever chapters interest you the most. You can use Six Sigma For Dummies, 2nd Edition, as a reference book, jumping in and out of certain parts, chapters, and sections as you want.

Here are some suggestions on where to start:

If you’re brand-new to Six Sigma, start at the beginning with Chapter 1.

Want to know all about those Belts you’re hearing about? Head to Chapter 4.

If you’re interested in how to launch a Six Sigma project, go to Chapter 6. To find out all about tools and technologies, check out Part V.

Want to know all the gritty statistical measurement and analysis of Six Sigma? Jump in at Chapter 9.

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Part I

Getting Acquainted with Six Sigma Basics

In this part . . .

Six Sigma is an applied methodology for improving business and organizational performance. But before you apply the Six Sigma methodology, you can benefit from knowing what it is, where it came from, why it works, and who uses it. This part provides all this information so you can understand the basics of Six Sigma.