ビジュアル・シックスシグマによるデータ分析のリーン化（第２版） Visual Six Sigma : Making Data Analysis Lean (Wiley & Sas Business) （2ND）

Cox, Ian/ Gaudard, Marie A./ Ramsey, Philip J./ Stephens, Mia L./ Wrig

John Wiley & Sons Inc（2016/06発売）

• 製本 Hardcover:ハードカバー版／ページ数 553 p.
• 言語 ENG
• 商品コード 9781118905685
• DDC分類 658.4013

Full Description

Streamline data analysis with an intuitive, visual Six Sigma strategy Visual Six Sigma provides the statistical techniques that help you get more information from your data. A unique emphasis on the visual allows you to take a more active role in data-driven decision making, so you can leverage your contextual knowledge to pose relevant questions and make more sound decisions. You'll learn dynamic visualization and exploratory data analysis techniques that help you identify occurrences and sources of variation, and the strategies and processes that make Six Sigma work for your organization.

The Six Sigma strategy helps you identify and remove causes of defects and errors in manufacturing and business processes; the more pragmatic Visual approach opens the strategy beyond the realms of statisticians to provide value to all business leaders amid the growing need for more accessible quality management tools.



See where, why, and how your data varies
Find clues to underlying behavior in your data
Identify key models and drivers
Build your own Six-Sigma experience

Whether your work involves a Six Sigma improvement project, a design project, a data-mining inquiry, or a scientific study, this practical breakthrough guide equips you with the skills and understanding to get more from your data. With intuitive, easy-to-use tools and clear explanations, Visual Six Sigma is a roadmap to putting this strategy to work for your company.

Contents

Contents

Preface to the Second Edition ix

Preface to the First Edition xiii

Acknowledgments xv

About the Authors xvii

Part One Background 1

Chapter 1 Introduction 3

Chapter 2 Six Sigma and Visual Six Sigma 7

Chapter 3 A First Look at JMP 27

Chapter 4 Managing Data and Data Quality 67

Part Two Case Studies 101

Chapter 5 Reducing Hospital Late Charge Incidents 103

Chapter 6 Transforming Pricing Management in a Chemical Supplier 157

Chapter 7 Improving the Quality of Anodized Parts 223

Chapter 8 Informing Pharmaceutical Sales and Marketing 297

Chapter 9 Improving a Polymer Manufacturing Process 345

Chapter 10 Classification of Cells 437

Part Three Supplementary Material 509

Chapter 11 Beyond "Point and Click" with JMP 511

Index 539