Cover -- Title Page -- Copyright -- Contents -- Preface to the Second Edition -- Preface to the First Edition -- Acknowledgments -- About the Authors -- Part One Background -- Chapter 1 Introduction -- What Is Visual Six Sigma? -- Chapter 2 Six Sigma and Visual Six Sigma -- Background: Models, Data, and Variation -- Models -- Measurements -- Observational versus Experimental Data -- Six Sigma -- Variation and Statistics -- Making Detective Work Easier through Dynamic Visualization -- Visual Six Sigma: Strategies, Process, Roadmap, and Guidelines -- Conclusion -- Notes -- Chapter 3 A First Look at JMP -- The Anatomy of JMP -- Visual Displays and Analyses Featured in the Book -- Scripts -- Personalizing JMP -- Visual Six Sigma Data Analysis Process and Roadmap -- Techniques Illustrated in the Remaining Chapters -- Conclusion -- Notes -- Chapter 4 Managing Data and Data Quality -- Data Quality for Visual Six Sigma -- The Collect Data Step -- Example 1: Domestic Power Consumption -- Example 2: Biscuit Sales -- Conclusion -- Notes -- Part Two Case Studies -- Chapter 5 Reducing Hospital Late Charge Incidents -- Framing the Problem -- Collecting Data -- Uncovering Relationships -- Uncovering the Hot Xs -- Identifying Projects -- Conclusion -- Chapter 6 Transforming Pricing Management in a Chemical Supplier -- Setting the Scene -- Framing the Problem: Understanding the Current State Pricing Process -- Collecting Baseline Data -- Uncovering Relationships -- Modeling Relationships -- Revising Knowledge -- Utilizing Knowledge: Sustaining the Benefits -- Conclusion -- Chapter 7 Improving the Quality of Anodized Parts -- Setting the Scene -- Framing the Problem -- Collecting Data -- Uncovering Relationships -- Locating the Team on the VSS Roadmap -- Modeling Relationships -- Revising Knowledge -- Utilizing Knowledge -- Conclusion -- Notes.
