Visual Six SIGMA: Making Data Analysis Lean

ISBN-13: 9781118905685 / Angielski / Twarda / 2016 / 576 str.

Ian Cox; Marie A. Gaudard; Philip J. Ramsey

Opis

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.

Spis treści

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

O autorze

IAN COX is with the JMP Division of SAS.

MARIE A. GAUDARD is a statistical consultant, and a statistical documentation writer for the JMP Division of SAS.

MIA L. STEPHENS is with the JMP Division of SAS.

Blurb

LEVERAGE YOUR DATA TO MAKE BETTER DECISIONS FASTER

Visual Six Sigma, Second Edition, allows you to make sound business decisions faster by understanding the patterns of variation in your data and separating it into useful signals and random noise. Leading with a visual approach to analysis, it presents underlying principles, concepts, and a detailed roadmap that enable you to take an active role in data–driven process improvement and decision making. It empowers you to use your contextual knowledge to pose relevant questions, get good answers, and make sound decisions.

Like the first edition, the second edition of this groundbreaking book guides you in how to use JMP, intuitive desktop software from SAS^®, to create visual representations of data that promote discoveries and deeper understanding, and facilitate communication of the resulting new knowledge. Complete with an updated companion website offering supporting materials, this revised and expanded edition features:

• New chapters on data quality and how to personalize and extend JMP.
• Revised case studies with detailed instructions and illustrative screenshots demonstrating the latest functionalities in JMP and JMP Pro, version 12.

Use these case studies, along with a free trial of a fully functional version of JMP, to experience the competitive advantage that comes with visual exploration of your data. Let Visual Six Sigma: Making Data Analysis Lean, Second Edition, provide the roadmap that guides your next important innovation or decision.