Statistical Methods Of Quality Assurance

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Statistical Methods for Quality Assurance

Author : Stephen B. Vardeman,J. Marcus Jobe
Publisher : Springer
Page : 437 pages
File Size : 53,6 Mb
Release : 2016-08-26
Category : Mathematics
ISBN : 9780387791067

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Statistical Methods for Quality Assurance by Stephen B. Vardeman,J. Marcus Jobe Pdf

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

Statistical Methods of Quality Assurance

Author : Hans-Joachim. Mittag,Horst Rinne
Publisher : CRC Press
Page : 664 pages
File Size : 54,8 Mb
Release : 2018-12-12
Category : Business & Economics
ISBN : 9781351414265

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Statistical Methods of Quality Assurance by Hans-Joachim. Mittag,Horst Rinne Pdf

This comprehensive textbook is a basic reference which should be recommended to students and teachers in engineering, technology and management as well as to the whole community of professionals already working in quality-related areas. The book aims to be a step-by-step introduction to statistical quality assurance. It has been specifically designed for self-study and includes over 100 fully solved exercises and worked examples. In addition to traditional quality control procedures the book also presents very carefully elaborated results of recent research in order to encourage their adoption into practice.

Statistical Method from the Viewpoint of Quality Control

Author : Walter A. Shewhart
Publisher : Courier Corporation
Page : 178 pages
File Size : 47,8 Mb
Release : 2012-07-31
Category : Mathematics
ISBN : 9780486170879

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Statistical Method from the Viewpoint of Quality Control by Walter A. Shewhart Pdf

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 Methods for Quality Improvement

Author : Thomas P. Ryan
Publisher : John Wiley & Sons
Page : 578 pages
File Size : 46,8 Mb
Release : 2011-09-20
Category : Technology & Engineering
ISBN : 9781118058107

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Statistical Methods for Quality Improvement by Thomas P. Ryan Pdf

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.

Statistical Methods in Engineering and Quality Assurance

Author : Peter William Meredith John
Publisher : Wiley-Interscience
Page : 408 pages
File Size : 44,9 Mb
Release : 1990-10-25
Category : Business & Economics
ISBN : UOM:39015018873193

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Statistical Methods in Engineering and Quality Assurance by Peter William Meredith John Pdf

Reflecting more than 30 years of teaching experience in the field, this guide provides engineers with an introduction to statistics and its applicability to engineering. Examples cover a wide range of engineering applications, including both chemical engineering and semiconductors. Among the topics featured are: quality assurance and statistics, continuous variables, hypothesis testing, comparative experiments, acceptance sampling, the analysis of variance, Taguchi and Orthogonal arrays. Tables, references and an index round out this work.

Statistical Methods of Quality Assurance

Author : Hans-Joachim. Mittag,Horst Rinne
Publisher : Routledge
Page : 502 pages
File Size : 42,6 Mb
Release : 2018-12-12
Category : Business & Economics
ISBN : 9781351414258

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Statistical Methods of Quality Assurance by Hans-Joachim. Mittag,Horst Rinne Pdf

This comprehensive textbook is a basic reference which should be recommended to students and teachers in engineering, technology and management as well as to the whole community of professionals already working in quality-related areas. The book aims to be a step-by-step introduction to statistical quality assurance. It has been specifically designed for self-study and includes over 100 fully solved exercises and worked examples. In addition to traditional quality control procedures the book also presents very carefully elaborated results of recent research in order to encourage their adoption into practice.

Statistical Quality Assurance Methods for Engineers

Author : Stephen B. Vardeman,J. Marcus Jobe
Publisher : Unknown
Page : 584 pages
File Size : 50,8 Mb
Release : 1999
Category : Business & Economics
ISBN : STANFORD:36105023075745

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Statistical Quality Assurance Methods for Engineers by Stephen B. Vardeman,J. Marcus Jobe Pdf

The Tools You Need To Be A Successful Engineer As you read through this new text, you'll discover the importance of Statistical Quality Control (SQC) tools in engineering process monitoring and improvement. You'll learn what SQC methods can and cannot do, and why these are valuable additions to your engineering tool kit. And instead of overwhelming you with unnecessary details, the authors make the implementation of statistical tools "user-friendly." The rich set of examples and problems integrated throughout this book will help you gain a better understanding of where and how to apply SQC tools. Real projects, cases and data sets show you clearly how SQC tools are used in practice. Topics are covered in the right amount of detail to give you insight into their relative importance in modern quality assurance and the ability to immediately use them. This approach provides the mix of tools you'll need to succeed in your engineering career. Key Features of the Text * Provides a coherent presentation of the role of statistics in quality assurance. * Places special attention on making sure that while the technical details are absolutely correct, they do not overwhelm the reader. * Presents the material in realistic contexts, with examples and problems that are based on real-world projects, cases and data sets. * The implementation of statistical tools is user-friendly. * The statistical treatment emphasizes graphics and estimation (and de-emphasizes hypothesis testing).

Multivariate Statistical Methods in Quality Management

Author : Kai Yang,Jayant Trewn
Publisher : McGraw Hill Professional
Page : 318 pages
File Size : 49,6 Mb
Release : 2004-03-17
Category : Technology & Engineering
ISBN : 9780071501378

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Multivariate Statistical Methods in Quality Management by Kai Yang,Jayant Trewn Pdf

Multivariate statistical methods are an essential component of quality engineering data analysis. This monograph provides a solid background in multivariate statistical fundamentals and details key multivariate statistical methods, including simple multivariate data graphical display and multivariate data stratification. * Graphical multivariate data display * Multivariate regression and path analysis * Multivariate process control charts * Six sigma and multivariate statistical methods

Introduction to Statistical Quality Control

Author : Christina M. Mastrangelo,Douglas C. Montgomery
Publisher : Wiley
Page : 244 pages
File Size : 54,7 Mb
Release : 1991
Category : Business & Economics
ISBN : PSU:000024589727

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Introduction to Statistical Quality Control by Christina M. Mastrangelo,Douglas C. Montgomery Pdf

Revised and expanded, this Second Edition continues to explore the modern practice of statistical quality control, providing comprehensive coverage of the subject from basic principles to state-of-the-art concepts and applications. The objective is to give the reader a thorough grounding in the principles of statistical quality control and a basis for applying those principles in a wide variety of both product and nonproduct situations. Divided into four parts, it contains numerous changes, including a more detailed discussion of the basic SPC problem-solving tools and two new case studies, expanded treatment on variable control charts with new examples, a chapter devoted entirely to cumulative-sum control charts and exponentially-weighted, moving-average control charts, and a new section on process improvement with designed experiments.

Introduction to Statistical Quality Control

Author : Douglas C. Montgomery
Publisher : John Wiley & Sons
Page : 773 pages
File Size : 51,8 Mb
Release : 2019-12-30
Category : Einführung
ISBN : 9781119657118

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Introduction to Statistical Quality Control by Douglas C. Montgomery Pdf

"Once solely the domain of engineers, quality control has become a vital business operation used to increase productivity and secure competitive advantage. Introduction to Statistical Quality Control offers a detailed presentation of the modern statistical methods for quality control and improvement. Thorough coverage of statistical process control (SPC) demonstrates the efficacy of statistically-oriented experiments in the context of process characterization, optimization, and acceptance sampling, while examination of the implementation process provides context to real-world applications. Emphasis on Six Sigma DMAIC (Define, Measure, Analyze, Improve and Control) provides a strategic problem-solving framework that can be applied across a variety of disciplines.Adopting a balanced approach to traditional and modern methods, this text includes coverage of SQC techniques in both industrial and non-manufacturing settings, providing fundamental knowledge to students of engineering, statistics, business, and management sciences.A strong pedagogical toolset, including multiple practice problems, real-world data sets and examples, provides students with a solid base of conceptual and practical knowledge."--

Multivariate Statistical Quality Control Using R

Author : Edgar Santos-Fernández
Publisher : Springer Science & Business Media
Page : 134 pages
File Size : 40,5 Mb
Release : 2012-09-22
Category : Business & Economics
ISBN : 9781461454526

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Multivariate Statistical Quality Control Using R by Edgar Santos-Fernández Pdf

​​​​​The intensive use of automatic data acquisition system and the use of cloud computing for process monitoring have led to an increased occurrence of industrial processes that utilize statistical process control and capability analysis. These analyses are performed almost exclusively with multivariate methodologies. The aim of this Brief is to present the most important MSQC techniques developed in R language. The book is divided into two parts. The first part contains the basic R elements, an introduction to statistical procedures, and the main aspects related to Statistical Quality Control (SQC). The second part covers the construction of multivariate control charts, the calculation of Multivariate Capability Indices.

Statistical Quality Control for the Food Industry

Author : Merton R. Hubbard
Publisher : Springer Science & Business Media
Page : 347 pages
File Size : 41,5 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781461501497

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Statistical Quality Control for the Food Industry by Merton R. Hubbard Pdf

Specifically targeted at the food industry, this state-of-the-art text/reference combines all the principal methods of statistical quality and process control into a single, up-to-date volume. In an easily understood and highly readable style, the author clearly explains underlying concepts and uses real world examples to illustrate statistical techniques. This Third Edition maintains the strengths of the first and second editions while adding new information on Total Quality Management, Computer Integrated Management, ISO 9001-2002, and The Malcolm Baldrige Quality Award. There are updates on FDA Regulations and Net Weight control limits, as well as additional HACCP applications. A new chapter has been added to explain concepts and implementation of the six-sigma quality control system.

Statistical Quality Control

Author : M. Jeya Chandra
Publisher : CRC Press
Page : 296 pages
File Size : 54,5 Mb
Release : 2001-06-21
Category : Business & Economics
ISBN : 9781420038675

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Statistical Quality Control by M. Jeya Chandra Pdf

It has recently become apparent that "quality" is quickly becoming the single most important factor for success and growth in business. Companies achieving higher quality in their products through effective quality improvement programs enjoy a significant competitive advantage. It is, therefore, essential for engineers responsible for design, devel

Statistical Method from the Viewpoint of Quality Control

Author : Walter Andrew Shewhart,William Edwards Deming
Publisher : Courier Corporation
Page : 180 pages
File Size : 40,7 Mb
Release : 1986-01-01
Category : Mathematics
ISBN : 9780486652320

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Statistical Method from the Viewpoint of Quality Control by Walter Andrew Shewhart,William Edwards Deming Pdf

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.

The Desk Reference of Statistical Quality Methods

Author : Mark L. Crossley
Publisher : Quality Press
Page : 561 pages
File Size : 52,9 Mb
Release : 2007-07-18
Category : Business & Economics
ISBN : 9780873897297

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The Desk Reference of Statistical Quality Methods by Mark L. Crossley Pdf

Arranged in alphabetical order for quick reference, this book provides the quality practitioner with a single resource that illustrates, in a practical manner, how to execute specific statistical methods frequently used in the quality sciences. Each method is presented in a stand-alone fashion and includes computational steps, application comments, and a fully illustrated brief presentation on how to use the tool or technique. A plethora of topics have been arranged in alphabetical order, ranging from acceptance sampling control charts to zone format control charts. This reference is accessible for the average quality practitioner who will need a minimal prior understanding of the techniques discussed to benefit from them. Each topic is presented in a standalone fashion with, in most cases, several examples detailing computational steps and application comments. This second edition includes new sections on advanced SPC applications, reliability applications, and Simplex Optimization. There are expansions in the sections on process capability analysis, hypothesis testing, and design of experiments.