Statistical Quality Control
Wishlist
* This new edtion provides comprehensive treatment of the major aspects of using statistical methodology for quality control and improvement.
Book Summary
Statistical Quality Control by Douglas C. Montgomery is a comprehensive textbook on using statistical methods for quality improvement. It covers control charts, process capability, acceptance sampling, and designed experiments. This edition updates key topics and integrates modern software, making it ideal for students and professionals seeking a rigorous foundation in quality control.
This book is not available
Store  |
Condition |
Deals & Coupons | Price |
Est. Shipping |
Total |
Buy |
|---|---|---|---|---|---|---|
| Sorry we could not find any result for “9781118146811” | ||||||
About Statistical Quality Control
This new edition of Statistical Quality Control provides a comprehensive treatment of the major aspects of using statistical methodology for quality control and improvement. The book covers fundamental principles and advanced techniques, including statistical process control, control charts for variables and attributes, process capability analysis, acceptance sampling, and designed experiments. Montgomery emphasizes practical application, integrating real-world examples and software tools to illustrate concepts. Updated content reflects current practices and emerging trends, making it a valuable resource for both academic study and professional practice. The text balances theory with hands-on guidance, ensuring readers can implement quality control methods effectively. Whether you are a student learning the basics or a practitioner refining your skills, this book offers a thorough and accessible guide to statistical quality control.
Who should read Statistical Quality Control?
This book is essential for undergraduate and graduate students in industrial engineering, statistics, and quality management. It is also highly recommended for quality control professionals, manufacturing engineers, and Six Sigma practitioners seeking a rigorous reference. Additionally, managers and analysts involved in process improvement will benefit from the practical techniques and clear explanations. Readers should have a basic understanding of statistics to fully grasp the material.
Pros & Cons
Pros
- ✓ Comprehensive coverage of statistical quality control methods
- ✓ Clear explanations with practical examples and case studies
- ✓ Integration of modern software tools for analysis
- ✓ Updated content reflecting current practices and trends
- ✓ Strong emphasis on both theory and application
Cons
- ✗ Requires prior knowledge of statistics
- ✗ Some topics may be too advanced for beginners
- ✗ Heavy focus on manufacturing contexts
- ✗ Limited coverage of service industry applications
- ✗ Dense text may be challenging for self-study
Similar books
Frequently asked questions
Is this book suitable for self-study?
Yes, but a basic statistics background is recommended. The book includes examples and exercises, though some concepts may require additional resources.
Does this edition include software applications?
Yes, the book integrates software tools such as Minitab and R for analysis, with examples and instructions.
What are the main topics covered?
Key topics include control charts, process capability, acceptance sampling, designed experiments, and statistical process control.
Is this book appropriate for Six Sigma training?
Absolutely. It covers many statistical tools used in Six Sigma and is often recommended for Green Belt and Black Belt training.
How does this edition differ from previous ones?
This edition updates content on emerging topics, incorporates new examples, and enhances software integration for modern practice.
At Windsorbooks, we compare prices from trusted sellers so you can buy, rent, or sell textbooks at the best total price — shipping included.
As an Amazon Associate, Windsorbooks.com may earn a small commission on qualifying purchases.