Visual six sigma : making data analysis lean

著者

    • Cox, Ian
    • Gaudard, Marie A.
    • Stephens, Mia L.

書誌事項

Visual six sigma : making data analysis lean

Ian Cox, Marie A. Gaudard, Mia L. Stephens

(Wiley and SAS business series)

Wiley, c2016

2nd ed

  • : hardback

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注記

Includes bibliographical references and index

内容説明・目次

内容説明

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.

目次

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

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