Book description
Streamline data analysis with an intuitive, visual Six Sigma strategyVisual 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.
Table of contents
- Wiley & SAS Business Series
- Title Page
- Copyright
- Preface to the Second Edition
- Preface to the First Edition
- Acknowledgments
- About the Authors
- Part One: Background
-
Part Two: Case Studies
- Chapter 5: Reducing Hospital Late Charge Incidents
- Chapter 6: Transforming Pricing Management in a Chemical Supplier
- Chapter 7: Improving the Quality of Anodized Parts
- Chapter 8: Informing Pharmaceutical Sales and Marketing
- Chapter 9: Improving a Polymer Manufacturing Process
-
Chapter 10: Classification of Cells
- Setting the Scene
- Framing the Problem and Collecting the Data: The Wisconsin Breast Cancer Diagnostic Data Set
- Initial Data Exploration
- Constructing the Training, Validation, and Test Sets
- Prediction Models
- Recursive Partitioning
- Stepwise Logistic Model
- Generalized Regression
- Neural Net Models
- Comparison of Classification Models
- Conclusion
- Notes
- Part Three: Supplementary Material
- End User License Agreement
Product information
- Title: Visual Six Sigma, 2nd Edition
- Author(s):
- Release date: June 2016
- Publisher(s): Wiley
- ISBN: 9781118905685
You might also like
book
The Six Sigma Handbook, Revised and Expanded, 2nd Edition
The most comprehensive Six Sigma reference available, now revised and expanded Completely rewritten and reorganized, this …
book
Lean Six Sigma for the Office, 2nd Edition
Historically, the integration of manufacturing methodologies into the office environment has proven to be problematic. Part …
book
Statistics for Six Sigma Made Easy! Revised and Expanded Second Edition, 2nd Edition
A PLAIN ENGLISH GUIDE TO SOLVING REAL-WORLD PROBLEMS WITH SIX SIGMA Six Sigma is one of …
book
Leading Holistic Improvement with Lean Six Sigma 2.0, Second edition
We live in a very different world from 1987 when Six Sigma was first introduced by …