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.
Daftar Isi
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
Tentang Penulis
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.
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