|
 |
 |
| Book Details |
|
|
|
|
|
The Certified Quality Engineer Handbook
Borror, Connie M.
, Associate Professor, Division of Mathematical and Natural Sciences, Arizona State University, USA.
|
|
PRINTED BOOK DETAILS:
ISBN :
978-81-224-2794-3
Publication Year :
2010
Edition :
3rd
Reprint :
Nov, 2011
Pages :
696
Price :
$ 39.75
Binding : Hardbound
|
|
|
| |
|
|
|
About the Book: |
This 3rd edition provides the quality professional with an updated resource that exactly follows ASQ's Certified Quality Engineer (CQE) Body of Knowledge. Today it is not uncommon for the quality engineer to be involved in quality improvement activities in healthcare, finance, educations, software application, and other non-manufacturing sectors. In response, numerous new examples and illustrations that cover applications in some of these areas have been added.
Key features of the third edition include:- New and updated references
- Extensive revision of the statistical methods, complete with numerous updated examples and illustrations
- Over 75 new glossary entries
This handbook can be used in preparation for the CQE exam or as a reference text for professional development. When a complete description or discussion of a topic is beyond the scope of the handbook, useful references have been included for further reading. Quality engineers will find this book to be an indispensable addition to their libraries.
This special low-priced edition is for sale in India, Bangladesh, Bhutan, Maldives, Nepal, Myanmar, Pakistan and Sri Lanka only.
Originally published by American Society for Quality, USA.
|
|
About the Author: |
Connie M. Borror is an Associate Professor in the Division of Mathematical and Natural Sciences at Arizona State University. She has contributed to numerous magazines and journals, as well to the Encyclopedia of Statistics in Quality and Reliability (Wiley, 2007) and the Encyclopedia of Biomedical Engineering (Wiley, 2006). She is on the editorial review board of the Journal of Quality Technology, Quality Engineering International Journal of Statistics and Management Systems, Quality Technology and Quality Management, Quality and Reliability Engineering and International Journal of Probability and Statistical Science. In addition, she is an Associate Editor for the Journal of the American Statistical Association. She is a Senior Member of ASQ.
|
|
Contents: |
Part I: Management and Leadership- Chapter 1: A. Quality Philosophies and Foundations
- Chapter 2: B. The Quality Management System
- Chapter 3: C. ASQ Code of Ethics for Professional Conduct
- Chapter 4: D. Leadership Principles and Techniques
- Chapter 5: E. Facilitation Principles and Techniques
- Chapter 6: F. Communication Skills
- Chapter 7: G. Customer Relations
- Chapter 8: H. Supplier Management
- Chapter 9: I. Overcoming Barriers to Quality Improvement
Part II: The Quality System- Chapter 10: A. Elements of the Quality System
- Chapter 11: B. Documentation of the Quality System
- Chapter 12: C. Quality Standards and Other Guidelines
- Chapter 13: D. Quality Audits
- Chapter 14: E. Cost of Quality
- Chapter 15: F. Quality Training
Part III: Product and Process Design- Chapter 16: A. Classification of Quality Characteristics
- Chapter 17: B. Design Inputs and Review
- Chapter 18: C. Technical Drawings and Specifications
- Chapter 19: D. Design Verification
- Chapter 20: E. Reliability and Maintainability
Part IV: Product and Process Control- Chapter 21: A. Tools
- Chapter 22: B. Material Control
- Chapter 23: C. Acceptance Sampling
- Chapter 24: D. Measurement and Test
- Chapter 25: E. Metrology
- Chapter 26: F. Measurement System Analysis
Part V: Continuous Improvement- Chapter 27: A. Quality Control Tools
- Chapter 28: B. Quality Management and Planning Tools
- Chapter 29: C. Continuous Improvement Techniques
- Chapter 30: D. Corrective Action
- Chapter 31: E. Preventive Action
Part VI: Quantitative Methods and Tools- Chapter 32: A. Collecting and Summarizing Data
- Chapter 33: B. Quantitative Concepts
- Chapter 34: C. Probability Distributions
- Chapter 35: D. Statistical Decision Making
- Chapter 36: E. Relationships Between Variables
- Chapter 37: F. Statistical Process Control (SPC)
- Chapter 38: G. Process and Performance Capability
- Chapter 39: H. Design and Analysis of Experiments
Part VII: Appendices
|
|
Audience: |
Computer,Mechanical,Information Technology,Common to all branches,Production Engineering,ASQ
|
|
|
|
|
