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Item #:
44481935
Understanding Statistical Process Control
76% of respondents would recommend this to a friend
Item #:
44481935
HNL 3657
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What Stands Out
Comprehensive Coverage
The third edition provides an extensive exploration of Statistical Process Control principles, ensuring readers grasp essential concepts and apply them effectively in various industries.
Practical Applications
Includes real-world examples and case studies, allowing users to see how Statistical Process Control tools resolve common manufacturing and operational challenges, enhancing their problem-solving skills.
User-Friendly Design
Structured with clear explanations, visuals, and practice problems, this edition caters to beginners and experienced practitioners, making complex theories accessible and easy to understand.
Product Details
| Publisher | Spc Pr |
| Publication date | June 1, 2010 |
| Edition | 3rd |
| Language | English |
| Print length | 406 pages |
| ISBN-10 | 0945320698 |
| ISBN-13 | 978-0945320692 |
| Item Weight | 2.2 pounds (1 kg) |
| Dimensions | 7.25 x 1 x 9.5 inches (18.4 x 2.5 x 24.1 cm) |
Who Should Buy?
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Quality Engineers
This book provides essential knowledge and tools for quality engineers aiming to improve process performance and quality.
-
Students
Ideal for business and engineering students studying quality control concepts and their applications in real-world scenarios.
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Managers
Helpful for managers seeking to understand process control for decision-making and improving operational efficiency.
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Beginners
Novices without a background in statistics may struggle with some of the advanced concepts presented in the book.
Product Description
Understanding Statistical Process Control
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Pros
- Clear explanations
- Practical examples
- Accessible language
- Comprehensive coverage
- Useful for beginners
Cons
- Outdated concepts
Product Price History
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Features & Benefits
- New materials on World Class Quality
- Updated discussion on Long-Term Capability
- New exercises to illustrate the power of conversion
- Revised material on Charts for Count-Based Data
- New section on the Transformation of Data
- Updated Bibliography
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