Power of Statistical Thinking, The: Improving Industrial Processes, 1st edition
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Every engineer and manager of industrial processes is now aware that, in order to maintain a competitive advantage, there must be a conscious and constant effort to improve efficiency and quality. The field of statistics has proven a highly effective-and now essential-means of measuring, evaluating, and improving performance.
Written in clear and readable language, this book explains the fundamentals of SPC (Statistical Process Control), but then goes far beyond to give an in-depth understanding of how these tools work, not just as feedback mechanisms, but also as a means of analyzing the sources and root causes of variation.
The book's hallmarks are its case studies; in example after example it demonstrates how and where these concepts and techniques can be applied to real-life situations for significant improvements in efficiency and quality.
You will find detailed information on constructing numerous kinds of control charts-including charts for attributes and variables data. The book also provides in-depth coverage of sampling, the principles of rational subgrouping, the components of variation, and measurement processes. An entire chapter is devoted to the role of designed experiments in process study. Each chapter includes a case study describing how various organizations have actually applied the techniques presented.
With these clear explanations and numerous examples, you will gain the understanding and skills you need to successfully apply statistical thinking in your work and make significant improvements within your own organization.
"Finally, a one-step reference (The Power of Statistical Thinking) which links statistical methodology with practical applications in the workplace. The authors have succinctly revealed that success will come through knowing your processes and using them to provide the customer value demanded by customers today. Statistical methods provide that knowledge."
-Mary D. Dolan, Director-Quality Improvements, Campbell Soup Company
"The strength of the book (The Power of Statistical Thinking) is the use of case studies that illustrate applications of statistical thinking using tools the author has introduced."
-James L. Hess, Ph.D., Leader, Board for Quality & Process Control, DuPont Engineering
"The authors (of The Power of Statistical Thinking) distinguish themselves from others by writing from the perspective of those who have been there. After having taught and worked with companies in virtually every industry the authors are able to offer advice which is not only statistically correct, but also helpful!"
-Jeff Peters, Vice President and General Manager, Harris Corporation
"The book's (The Power of Statistical Thinking) strength is in documenting the methods of application which could aid managers and technical people in making better and more appropriate application of control charts for process improvement. It talks directly to issues through examples."
-William F. Fulkerson, Staff Analyst, John Deere & Company
"I am convinced the ability of an organization to survive and serve its customers with increasingly better products and services will depend on the 'power of statistical thinking.' This book (The Power of Statistical Thinking) effectively communicates statistical and process knowledge needed by managers and technicians."
-David L. Beal, Operations Manager, Lake Superior Paper Industries, A Company of Consolidated Papers, Inc.
"This book (The Power of Statistical Thinking) does an excellent job of teaching the fundamentals of continuous improvement tools. The recommended approach has been proven effective over and over again in various types of organizations. I particularly appreciated the extensive use of real case studies."
-Roger Hoerl, Manager of Quality Methods and Information, Scott Paper Company
Table of contents
1. Introduction to the Use of Statistical Methods in Strategic Organizational Improvement.
2. Tools for Process Study.
3. Control Charts for Attributes Data: p and np Charts.
4. Control Charts for Attributes Data: c and u Charts.
5. Control Charts for Variables Data: Variability and Location.
6. Sampling and Subgrouping Principles.
7. Control Charts for Variables Data: Moving Range and Individuals Charts.
8. Subgrouping and Components of Variation.
9. Measurement Processes.
10. The Role of Designed Experiments in Process Management.
Appendix A: Probability Models.
Appendix B: Runs Tests.
Appendix C: Symbols for More Detailed Process Flowcharts.
Appendix D: Statistical Tables.
Appendix E: Answers to Practice Problems.
Published by Pearson (November 30th 1995) - Copyright © 1996