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- Introduction to Statistical Quality Control
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Barang #:
46305926
Introduction to Statistical Quality Control
86% of respondents would recommend this to a friend
Barang #:
46305926
USD 152
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Introduction to Statistical Quality Control offers a detailed presentation of modern statistical methods for QC and improvement.
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What Stands Out
Comprehensive Coverage
This edition offers an in-depth exploration of statistical quality control, integrating the latest methodologies and practices to enhance understanding for both students and professionals in quality management.
Real-World Applications
Includes updated case studies and real-world examples that illustrate statistical concepts, enabling readers to apply theory to practical situations in various industries effectively.
User-Friendly Format
Designed with clarity in mind, this book features improved visuals and explanations to make complex statistical concepts accessible to learners of all backgrounds, enhancing engagement and retention.
Rincian Produk
- Provides a detailed presentation of modern statistical methods for quality control and improvement.
- Thoroughly covers statistical process control (SPC) and statistically-oriented experiments.
- Emphasizes the implementation process and Six Sigma DMAIC problem-solving framework.
- Balanced coverage of SQC techniques in industrial and non-manufacturing settings.
- Includes a strong pedagogical toolset with practice problems, real-world examples, and Minitab statistics software integration.
- Ideal for students of engineering, statistics, business, and management sciences.
| Publisher | Wiley |
| Publication date | June 23, 2020 |
| Edition | 8th |
| Language | English |
| Print length | 768 pages |
| ISBN-10 | 1119723094 |
| ISBN-13 | 978-1119723097 |
| Item Weight | 3 pounds (1.36 kg) |
| Dimensions | 8 x 1.2 x 9.9 inches (20.3 x 3 x 25.1 cm) |
Who Should Buy?
-
Quality Control Students
Ideal for students studying quality control techniques and statistical process improvement in engineering or management programs.
-
Industry Professionals
Useful for quality assurance professionals needing comprehensive guidance on statistical tools for operational excellence.
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Instructors and Educators
Great resource for educators teaching statistics or quality control, offering extensive examples and practical applications.
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Casual Readers
Not suitable for those seeking light reading; it is a technical book requiring engagement with statistical concepts.
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Introduction to Statistical Quality Control
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Industrial, Manufacturing & Operational Systems Editorial Review
Statistical Quality Control is an excellent textbook on the subject. It offers a clear and concise treatment of statistical quality control concepts, making it easy to understand for beginner-level students. The book has been around for a while and is Considered a classic in the university curriculum. However, one reviewer was disappointed because they did not receive the end-of-chapter exercise questions in either the softcover textbook or the E-text. This fact was not mentioned in the ad, making the book less helpful to them. Another reviewer received a damaged book with bent pages and a delaminating back cover, which was a shame as they otherwise would have given the book a five-star rating. Overall, despite the issues mentioned by some reviewers, this book remains an excellent choice for those learning statistical quality control.
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Pro
- Clear and concise treatment of statistical quality control concepts
- Classic textbook in the university curriculum
Kontra
- Some customers did not receive the end-of-chapter exercise questions
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USD 152
Pesan sekarang dan dapatkan kira-kira pada Sunday, November 08
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Fitur & Manfaat
- Thorough coverage of SPC demonstrates the efficacy of statistically-oriented experiments
- Examination of implementation process provides context to real-world applications
- Emphasis on Six Sigma DMAIC provides a strategic problem-solving framework
- Balanced approach includes coverage of SQC techniques in both industrial and non-manufacturing settings
- Strong pedagogical toolset provides students with a solid base of conceptual and practical knowledge
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