Visual Six Sigma: Making Data Analysis Lean (Wiley and SAS Business Series) / Edition 1

Hardcover (Print)
Used and New from Other Sellers
Used and New from Other Sellers
from $43.54
Usually ships in 1-2 business days
(Save 33%)
Other sellers (Hardcover)
  • All (8) from $43.54   
  • New (6) from $43.54   
  • Used (2) from $43.54   

Overview

Your company needs effective new tools for connecting more closely with customers, identifying emerging market trends, and seizing opportunities for growth. Enter Visual Six Sigma: Making Data Analysis Lean.

Visual Six Sigma shows you how to exploit your data to make sound business decisions more quickly and easily than you could otherwise, with or without the support of a formal initiative like Six Sigma. Using the powerful visualization capabilities of JMP software from SAS Institute Inc. (a fully functional demonstration version is available for download), this hands-on resource provides you with the tools to:

  • Understand and navigate JMP statistical software
  • Use dynamic visualization methods and other statistical techniques at various stages in your data analysis process, guided by the Visual Six Sigma Data Analysis Process
  • Put the relevant how-to steps of Visual Six Sigma in action, following the Visual Six Sigma road map
  • Employ visualization to support techniques such as measurement system analysis, analysis of designed experiments, modeling, optimization and simulation, and data mining

This pragmatic guide presents six in-depth case studies highlighting Visual Six Sigma in action, while addressing complex problems and opportunities faced by individuals and teams in a variety of application areas. Easy to read, easy to digest, and easy to implement, Visual Six Sigma is a powerful profit-building resource and your must-have tool for driving lasting improvement.

Read More Show Less

Product Details

  • ISBN-13: 9780470506912
  • Publisher: Wiley
  • Publication date: 12/21/2009
  • Series: Wiley and SAS Business Series, #28
  • Edition number: 1
  • Pages: 492
  • Sales rank: 1,293,938
  • Product dimensions: 7.30 (w) x 10.10 (h) x 1.80 (d)

Meet the Author

Ian Cox, PhD, is Solutions Manager for JMP Sales and Marketing. He has worked for Digital Equipment Corporation, Motorola, and Motorola University and is a Six Sigma Black Belt.

Marie A. Gaudard, PhD, is a Partner with the North Haven Group and an Emerita Professor of Statistics at the University of New Hampshire. She has worked extensively as a teacher and consultant in industry, focusing on statistical quality improvement, predictive modeling, and data analysis.

Philip J. Ramsey, PhD, is a Partner with the North Haven Group and a member of the statistics faculty at the University of New Hampshire. He is an industrial statistician with extensive experience in applying statistical methods to products, processes, and research and development programs.

Mia L. Stephens, MS, is an Academic Ambassador with the JMP division of SAS. Formerly a trainer, consultant, North Haven Group partner, and statistics instructor at the University of New Hampshire, she is an expert in Lean Six Sigma and Design for Six Sigma program deployment.

Leo T. Wright is Product Manager of Six Sigma and Quality Solutions for the JMP division of SAS. He has worked for several Fortune 500 manufacturing organizations and is a Six Sigma Black Belt and an ASQ Certified Quality Engineer.

Read More Show Less

Table of Contents

Preface ix

Acknowledgments xi

PART I BACKGROUND

CHAPTER 1 Introduction 3

What Is Visual Six Sigma? 3

Moving beyond Traditional Six Sigma 4

Making Data Analysis Lean 4

Requirements of the Reader 5

CHAPTER 2 Six Sigma and Visual Six Sigma 7

Background: Models, Data, and Variation 7

Six Sigma 10

Variation and Statistics 13

Making Detective Work Easier through Dynamic Visualization 14

Visual Six Sigma: Strategies, Process, Roadmap, and Guidelines 16

Conclusion 21

Notes 21

CHAPTER 3 A First Look at JMP® 23

The Anatomy of JMP 23

Visual Displays and Analyses Featured in the Case Studies 39

Scripts 44

Personalizing JMP 47

Visual Six Sigma Data Analysis Process and Roadmap 47

Techniques Illustrated in the Case Studies 50

Conclusion 50

Notes 50

PART II CASE STUDIES

CHAPTER 4 Reducing Hospital Late Charge Incidents 57

Framing the Problem 58

Collecting Data 59

Uncovering Relationships 62

Uncovering the Hot Xs 90

Identifying Projects 103

Conclusion 103

CHAPTER 5 Transforming Pricing Management in a Chemical Supplier 105

Setting the Scene 106

Framing the Problem: Understanding the Current

State Pricing Process 107

Collecting Baseline Data 112

Uncovering Relationships 121

Modeling Relationships 147

Revising Knowledge 152

Utilizing Knowledge: Sustaining the Benefits 159

Conclusion 162

CHAPTER 6 Improving the Quality of Anodized Parts 165

Setting the Scene 166

Framing the Problem 167

Collecting Data 169

Uncovering Relationships 183

Locating the Team on the VSS Roadmap 196

Modeling Relationships 197

Revising Knowledge 210

Utilizing Knowledge 229

Conclusion 231

Note 232

CHAPTER 7 Informing Pharmaceutical Sales and Marketing 233

Setting the Scene 235

Collecting the Data 235

Validating and Scoping the Data 237

Investigating Promotional Activity 263

A Deeper Understanding of Regional Differences 282

Summary 291

Conclusion 292

Additional Details 292

Note 301

CHAPTER 8 Improving a Polymer Manufacturing Process 303

Setting the Scene 305

Framing the Problem 307

Reviewing Historical Data 314

Measurement System Analysis 320

Uncovering Relationships 334

Modeling Relationships 345

Revising Knowledge 366

Utilizing Knowledge 378

Conclusion 388

Note 389

CHAPTER 9 Classification of Cells 391

Setting the Scene 393

Framing the Problem and Collecting the Data: The Wisconsin Breast Cancer Diagnostic Data Set 394

Uncovering Relationships 395

Constructing the Training, Validation, and Test Sets 417

Modeling Relationships: Logistic Model 443

Modeling Relationships: Recursive Partitioning 460

Modeling Relationships: Neural Net Models 467

Comparison of Classification Models 480

Conclusion 483

Notes 484

Index 485

Read More Show Less

Customer Reviews

Be the first to write a review
( 0 )
Rating Distribution

5 Star

(0)

4 Star

(0)

3 Star

(0)

2 Star

(0)

1 Star

(0)

Your Rating:

Your Name: Create a Pen Name or

Barnes & Noble.com Review Rules

Our reader reviews allow you to share your comments on titles you liked, or didn't, with others. By submitting an online review, you are representing to Barnes & Noble.com that all information contained in your review is original and accurate in all respects, and that the submission of such content by you and the posting of such content by Barnes & Noble.com does not and will not violate the rights of any third party. Please follow the rules below to help ensure that your review can be posted.

Reviews by Our Customers Under the Age of 13

We highly value and respect everyone's opinion concerning the titles we offer. However, we cannot allow persons under the age of 13 to have accounts at BN.com or to post customer reviews. Please see our Terms of Use for more details.

What to exclude from your review:

Please do not write about reviews, commentary, or information posted on the product page. If you see any errors in the information on the product page, please send us an email.

Reviews should not contain any of the following:

  • - HTML tags, profanity, obscenities, vulgarities, or comments that defame anyone
  • - Time-sensitive information such as tour dates, signings, lectures, etc.
  • - Single-word reviews. Other people will read your review to discover why you liked or didn't like the title. Be descriptive.
  • - Comments focusing on the author or that may ruin the ending for others
  • - Phone numbers, addresses, URLs
  • - Pricing and availability information or alternative ordering information
  • - Advertisements or commercial solicitation

Reminder:

  • - By submitting a review, you grant to Barnes & Noble.com and its sublicensees the royalty-free, perpetual, irrevocable right and license to use the review in accordance with the Barnes & Noble.com Terms of Use.
  • - Barnes & Noble.com reserves the right not to post any review -- particularly those that do not follow the terms and conditions of these Rules. Barnes & Noble.com also reserves the right to remove any review at any time without notice.
  • - See Terms of Use for other conditions and disclaimers.
Search for Products You'd Like to Recommend

Recommend other products that relate to your review. Just search for them below and share!

Create a Pen Name

Your Pen Name is your unique identity on BN.com. It will appear on the reviews you write and other website activities. Your Pen Name cannot be edited, changed or deleted once submitted.

 
Your Pen Name can be any combination of alphanumeric characters (plus - and _), and must be at least two characters long.

Continue Anonymously

    If you find inappropriate content, please report it to Barnes & Noble
    Why is this product inappropriate?
    Comments (optional)