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77,231
result(s) for
"quality control methods"
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Statistics for Six sigma made easy!
Presents an introduction to the basic principles of the statistical strategy, detailing its tools and techniques, with case studies and advice for obtaining good samples and data and a matrix for choosing the best methods for a particular industry.
Statistical analysis of profile monitoring
by
Amiri, Amirhossein
,
Noorossana, Rassoul
,
Saghaei, Abbas
in
Process control
,
Process control -- Statistical methods
,
Quality Control
2012,2011
A one-of-a-kind presentation of the major achievements in statistical profile monitoring methods Statistical profile monitoring is an area of statistical quality control that is growing in significance for researchers and practitioners, specifically because of its range of applicability across various service and manufacturing settings.
A Closer Look at Loss Function
2020,2019
A brief note on quality loss functions used in quality engineering / Onur Köksoy -- The Taguchi loss and inverted loss functions / Matei Demetrescu, Adrian Stere Paris and Constantin Târcolea -- Physical model of the quality policy / Peter Eniko and Davorin Kramar -- From Taguchi's orthogonal arrays to full factorial designs and back / Zorica A. Veljković, Slobodan L.J. Radojević and Vesna K. Spasojević Brkić -- The quality loss function-based approach for discrete multiresponse process parameters optimization / Tatjana V. Sibalija.
Quality recognition and prediction : Smarter Pattern Technology with the Mahalanobis-Taguchi system
by
Teshima, Shoichi
,
Tatebayashi, Kazuo
,
Hasegawa, Yoshiko
in
Manufacturing processes
,
Pattern recognition systems
,
Quality control
2012
The Mahalanobis-Taguchi data handling and pattern recognition system is widely established-- built and extended from the original quality control precepts of Genichi Taguchi. But the MT system is not always well understood. This new book makes the system much more vivid and concrete with real-life applications in a wide variety of disciplines from industry to general commerce. The book offers a clear computational method to show the user how to actually apply the system to real manufacturing control problems. With the renowned international industry background of the three authors and their historic ties to Genichi Taguchi, this book will bring a unique insight into how to get the most benefits from the MT System. The book offers an overview of pattern recognition issues and the precepts of the MT system. explains the merits of the MT System and its computational methods. shows how to handle data with the MT System and extract useful information. provides a useful comparison of the advantages and disadvantages between traditional Artificial Intelligence systems and the MT system. provides case study examples of MT Systems applications.
Statistical methods for quality improvement
\"In this new edition, the author continues to explain how to combine the many statistical methods explored in the book in order to optimize quality control and improvement. The book has been thoroughly revised and updated to reflect the latest research and practices in statistical methods and quality control, and new features include updated coverage of control charts, with newly added tools. The latest research on the monitoring of linear profiles and other types of profiles Sections on generalized likelihood ratio charts and the effects of parameter estimation on the properties of CUSUM and EWMA procedures\"-- Provided by publisher.
Statistical methods for quality improvement
by
Ryan, Thomas P.
in
MATHEMATICS / Probability & Statistics / General bisacsh
,
Process control
,
Process control -- Statistical methods
2011
Praise for the Second Edition \"As a comprehensive statistics reference book for quality improvement, it certainly is one of the best books available.\" -- Technometrics This new edition continues to provide the most current, proven statistical methods for quality control and quality improvement The use of quantitative methods offers numerous.
Industrial statistics
2010
This useful guide concisely communicates ten practical statistical methods that are widely applicable to research, product design, process design, validation, manufacturing, and continuous improvement in many different industries. The coverage presents the key ideas behind each statistical method in clear, concise, and accessible writing, with minimal mathematical detail. Focusing on practical aspects for problem-solving, the text illustrates applications with numerous examples, providing a accessible resource to scientists, engineers, ...