Statistical Method from the Viewpoint of Quality Control

by Walter Andrew Shewhart

Author	: Walter Andrew Shewhart
Publisher	: Courier Corporation
Total Pages	: 180
Release	: 1986-01-01
Genre	: Mathematics
ISBN	: 0486652327

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Important text offers lucid explanation of how to regulate variables and maintain control over statistics in order to achieve quality control over manufactured products, crops and data. Topics include statistical control, establishing limits of variability, measurements of physical properties and constants, and specification of accuracy and precision. First inexpensive paperback edition.

Statistical Method from the Viewpoint of Quality Control

by Walter A. Shewhart

Author	: Walter A. Shewhart
Publisher	: Courier Corporation
Total Pages	: 178
Release	: 2012-07-31
Genre	: Mathematics
ISBN	: 048617087X

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Important text offers lucid explanation of how to regulate variables and maintain control over statistics in order to achieve quality control over manufactured products, crops and data. First inexpensive paperback edition.

Statistical Quality Control Methods

by Irving W. Burr

Author	: Irving W. Burr
Publisher	: Routledge
Total Pages	: 540
Release	: 2018-05-04
Genre	: Business & Economics
ISBN	: 1351414194

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This book focuses on statistical methods useful in quality control, emphasizing on data-analysis and decision-making. These techniques are also of great use in areas such as laboratory analyses and research. The problems and examples presented are from actual cases encountered in the industry.

Statistical Methods for Quality Improvement

by Thomas P. Ryan

Author	: Thomas P. Ryan
Publisher	: John Wiley & Sons
Total Pages	: 578
Release	: 2011-09-20
Genre	: Technology & Engineering
ISBN	: 1118058100

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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 benefits in the fields of industry and business, both through identifying existing trouble spots and alerting management and technical personnel to potential problems. Statistical Methods for Quality Improvement, Third Edition guides readers through a broad range of tools and techniques that make it possible to quickly identify and resolve both current and potential trouble spots within almost any manufacturing or nonmanufacturing process. The book provides detailed coverage of the application of control charts, while also exploring critical topics such as regression, design of experiments, and Taguchi methods. 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 New discussions on design of experiments that include conditional effects and fraction of design space plots New material on Lean Six Sigma and Six Sigma programs and training Incorporating the latest software applications, the author has added coverage on how to use Minitab software to obtain probability limits for attribute charts. new exercises have been added throughout the book, allowing readers to put the latest statistical methods into practice. Updated references are also provided, shedding light on the current literature and providing resources for further study of the topic. Statistical Methods for Quality Improvement, Third Edition is an excellent book for courses on quality control and design of experiments at the upper-undergraduate and graduate levels. the book also serves as a valuable reference for practicing statisticians, engineers, and physical scientists interested in statistical quality improvement.

Economic Control of Quality Of Manufactured Product

by Walter A. Shewhart

Author	: Walter A. Shewhart
Publisher	:
Total Pages	: 516
Release	: 2015-04-25
Genre	: Technology & Engineering
ISBN	: 9781614278115

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2015 Reprint of 1931 Edition. Full Facsimile of the original edition. Not reproduced with Optical Recognition Software. The father of modern quality control, Walter A. Shewhart brought together the disciplines of statistics, engineering, and economics in a simple but highly effective tool: the control chart. This technique, and the principles behind it, has played a key role in economic development from the 1940's through to the present day. Most of Shewhart's professional career was spent at Western Electric as an engineer from 1918 to 1924 and at Bell Telephone Laboratories from 1925 until his retirement in 1956. In addition, he served for more than 20 years as the first editor of the Mathematical Statistics Series published by John Wiley & Sons.

Statistical Methods for Quality Assurance

by Stephen B. Vardeman

Author	: Stephen B. Vardeman
Publisher	: Springer
Total Pages	: 447
Release	: 2016-08-26
Genre	: Mathematics
ISBN	: 038779106X

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This undergraduate statistical quality assurance textbook clearly shows with real projects, cases and data sets how statistical quality control tools are used in practice. Among the topics covered is a practical evaluation of measurement effectiveness for both continuous and discrete data. Gauge Reproducibility and Repeatability methodology (including confidence intervals for Repeatability, Reproducibility and the Gauge Capability Ratio) is thoroughly developed. Process capability indices and corresponding confidence intervals are also explained. In addition to process monitoring techniques, experimental design and analysis for process improvement are carefully presented. Factorial and Fractional Factorial arrangements of treatments and Response Surface methods are covered. Integrated throughout the book are rich sets of examples and problems that help readers gain a better understanding of where and how to apply statistical quality control tools. These large and realistic problem sets in combination with the streamlined approach of the text and extensive supporting material facilitate reader understanding. Second Edition Improvements Extensive coverage of measurement quality evaluation (in addition to ANOVA Gauge R&R methodologies) New end-of-section exercises and revised-end-of-chapter exercises Two full sets of slides, one with audio to assist student preparation outside-of-class and another appropriate for professors’ lectures Substantial supporting material Supporting Material Seven R programs that support variables and attributes control chart construction and analyses, Gauge R&R methods, analyses of Fractional Factorial studies, Propagation of Error analyses and Response Surface analyses Documentation for the R programs Excel data files associated with the end-of-chapter problem sets, most from real engineering settings

Introduction to Statistical Quality Control

by Douglas C. Montgomery

Author	: Douglas C. Montgomery
Publisher	: John Wiley & Sons
Total Pages	: 772
Release	:
Genre	: Process control
ISBN	: 1119657075

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"This book is about the use of modern statistical methods for quality control and improvement. It provides comprehensive coverage of the subject from basic principles to state-of-the-art concepts. and applications. The objective is to give the reader a sound understanding of the principles and the basis for applying them in a variety of situations. Although statistical techniques are emphasized. throughout, the book has a strong engineering and management orientation. Extensive knowledge. of statistics is not a prerequisite for using this book. Readers whose background includes a basic course in statistical methods will find much of the material in this book easily accessible"--

Statistical Aspects of Quality Control

by Derman Cyrus

Author	: Derman Cyrus
Publisher	: Academic Press
Total Pages	: 230
Release	: 1997
Genre	: Business & Economics
ISBN	:

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On-line and off-line quality control are the two methods used to discern a products reliability of quality. Though they are disparate techniques, both methods are used to achieve the same result. This introductory textbook integrates the two techniques to present a wide coverage of statistical methods of quality control. The text is compact, stressing the key ideas and concepts rather than trying to cover each method in complete depth. Statistical Aspects of Quality Control is an excellent starting point for a student interested in learning more about the field of statistical quality control. References and suggested readings are included at the end of each chapter. Presents statistical quality control in a compact fashion that stresses key ideas and concepts Uses the concept of Average Run Length to compare the different control charts, such as Shewhart, moving average, and cusum Introduces the Taguchi approach to quality design Includes information on acceptance sampling Concludes each chapter with final comments, references, and examples to illustrate the methods discussed

Statistical Methods for Quality Improvement

by Hitoshi Kume

Author	: Hitoshi Kume
Publisher	: Productivity Press
Total Pages	: 231
Release	: 1987-08-05
Genre	: Business & Economics
ISBN	: 9784906224340

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This text is highly recommended for managers and serious students of quality. Major US companies issue this reference and training manual to all managers during their quality training. This volume is also very valuable as a stand-alone reference on using statistics with a business and quality perspective.