Visual Six Sigma : Making Data Analysis Lean

by Ian Cox; Marie A. Gaudard; Philip J. Ramsey; Mia L. Stephens; Leo Wright

• ISBN13: 9780470564097
• ISBN10: 0470564091
• Format: eBook
• Copyright: 2009-12-01
• Publisher: Wiley

Summary

Through Visual Six Sigma, learn what your data is telling your businessIn the typical business environment of process improvement, you want simple-to-use tools that everyone can use at all levels to rapidly explore and interpret data. Visual Six Sigma: Making Data Analysis Lean helps you use your own data to drive incredible improvement within your business.Divided into three parts-background, case studies, and JMP highlights-Visual Six Sigma covers Six Sigma and Visual Six Sigma A first look at JMP Transforming pricing management Improving white polymer manufacturing Designing experiments and modeling relationshipsBroaden and deepen your application of Six Sigma thinking within your organization with the intuitive and easy to use tools in Visual Six Sigma: Making Data Analysis Lean.

Table of Contents

Preface

Acknowledgements

Background

Introduction

What Is Visual Six Sigma?

Moving Beyond Traditional Six Sigma

Making Data Analysis Lean

Requirements of the Reader

Six Sigma and Visual Six Sigma

Background: Models, Data, and Variation

Six Sigma

Variation and Statistics

Making Detective Work Easier through Dynamic Visualization

Visual Six Sigma: Strategies, Process, Roadmap, and Guidelines

Conclusion

Notes

A First Look at JMP

The Anatomy of JMP

Visual Displays and Analyses Featured in the Case Studies

Scripts

Personalizing JMP

Visual Six Sigma Data Analysis Process and Roadmap

Techniques Illustrated in Case Studies

Conclusion

Notes

Case Studies

Reducing Hospital Late Charge Incidents

Framing the Problem

Collecting Data

Uncovering Relationships

Uncovering the Hot Xs

Identifying Projects

Conclusion

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

Improving the Quality of Anodized Parts

Setting the Scene

Framing the Problem

Collecting Data

Uncovering Relationships

Finding the Team on the VSS Roadmap

Modeling Relationships

Revise Knowledge

Utilizing Knowledge

Conclusion

Notes

Informing Pharmaceutical Sales and Marketing

Setting the Scene

Collecting the Data

Validating and Scoping the Data

Investigating Promotional Activity

A Deeper Understanding of Regional Differences

Summary

Conclusion

Additional Details

Notes

Improving a Polymer Manufacturing Process

Setting the Scene

Framing the Problem

Reviewing Historical Data

Measurement Systems Analysis

Uncovering Relationships

Modeling Relationships

Revising Knowledge

Utilizing Knowledge

Conclusion

Note

Classification of Cells

Setting the Scene

Framing the Problem and Collecting the Data: The Wisconsin Breast Cancer. Diagnostic Data Set

Uncovering Relationships

Constructing the Training, Validation, and Test Sets

Modeling Relationships: Logistic Model

Modeling Relationships: Recursive Partitioning

Modeling Relationships: Neural Net Models

Comparison of Classification Models

Conclusion

Notes

Index

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