An Introduction to Acceptance Sampling and SPC with R
Original price was: $45.00.$34.97Current price is: $34.97.
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If you are looking for a comprehensive resource to enhance your knowledge in statistical strategies for monitoring and improving quality, then “An Introduction to Acceptance Sampling and SPC with R” is the perfect choice for you. This textbook covers a wide range of topics including acceptance sampling, Shewhart control charts, Cusum and EWMA control charts, as well as the design and analysis of experiments for process troubleshooting and improvement.
This book explores the origins of statistical quality control and delves into technical subjects recommended by ANSI/ASQ/ISO guidelines and standards for the industry. With a focus on modern management philosophies that advocate for the use of technical methods, this text provides valuable insights into utilizing statistical strategies for quality enhancement. With the aid of computers, sampling plans and statistical calculations in quality control are now seamlessly executed.
Utilizing the open-source high-level programming language R, which offers flexible graphical output options and is compatible with various operating systems, readers will learn how to apply R for acceptance sampling and control charts. Furthermore, the book evaluates how the implementation of these tools can lead to substantial quality improvements within organizations and their supplier networks.
Whether you are an undergraduate student seeking an in-depth understanding of statistical quality control in engineering disciplines such as manufacturing or industrial engineering, or a graduate student looking for supplementary resources on quality control, this book serves as an invaluable resource.
FAQs
What is the emphasis of “An Introduction to Acceptance Sampling and SPC with R”?
This textbook emphasizes statistical strategies for monitoring, controlling, and improving quality, particularly focusing on acceptance sampling and control charts.
Is R the only programming language discussed in the book?
While R is the primary programming language highlighted in the book for statistical methods, it also touches on the utilization of other software for quality control.
Conclusion
“An Introduction to Acceptance Sampling and SPC with R” provides a thorough overview of statistical quality control techniques using practical examples and real-world applications. By employing R and exploring various control charts, readers can enhance their understanding of quality improvement methodologies. This textbook is a valuable asset for students and professionals seeking to master the principles of statistical quality control.
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