Statistics Of Quality

Author : Thomas P. Ryan
Publisher : John Wiley & Sons
Page : 578 pages
File Size : 55,8 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.

Author : Sven Knoth,Wolfgang Schmid
Publisher : Springer Nature
Page : 410 pages
File Size : 55,7 Mb
Release : 2021-05-15
Category : Mathematics
ISBN : 9783030678562

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Frontiers in Statistical Quality Control 13 by Sven Knoth,Wolfgang Schmid Pdf

This contributed book focuses on major aspects of statistical quality control, shares insights into important new developments in the field, and adapts established statistical quality control methods for use in e.g. big data, network analysis and medical applications. The content is divided into two parts, the first of which mainly addresses statistical process control, also known as statistical process monitoring. In turn, the second part explores selected topics in statistical quality control, including measurement uncertainty analysis and data quality. The peer-reviewed contributions gathered here were originally presented at the 13th International Workshop on Intelligent Statistical Quality Control, ISQC 2019, held in Hong Kong on August 12-14, 2019. Taken together, they bridge the gap between theory and practice, making the book of interest to both practitioners and researchers in the field of statistical quality control.

Author : Edgar Santos-Fernández
Publisher : Springer Science & Business Media
Page : 134 pages
File Size : 46,6 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.

Author : Stephen B. Vardeman,J. Marcus Jobe
Publisher : Unknown
Page : 584 pages
File Size : 47,9 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).

Author : Theodore T. Allen
Publisher : Springer Science & Business Media
Page : 573 pages
File Size : 50,7 Mb
Release : 2010-04-23
Category : Technology & Engineering
ISBN : 9781849960007

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Introduction to Engineering Statistics and Lean Sigma by Theodore T. Allen Pdf

Lean production, has long been regarded as critical to business success in many industries. Over the last ten years, instruction in six sigma has been increasingly linked with learning about the elements of lean production. Introduction to Engineering Statistics and Lean Sigma builds on the success of its first edition (Introduction to Engineering Statistics and Six Sigma) to reflect the growing importance of the "lean sigma" hybrid. As well as providing detailed definitions and case studies of all six sigma methods, Introduction to Engineering Statistics and Lean Sigma forms one of few sources on the relationship between operations research techniques and lean sigma. Readers will be given the information necessary to determine which sigma methods to apply in which situation, and to predict why and when a particular method may not be effective. Methods covered include: • control charts and advanced control charts, • failure mode and effects analysis, • Taguchi methods, • gauge R&R, and • genetic algorithms. The second edition also greatly expands the discussion of Design For Six Sigma (DFSS), which is critical for many organizations that seek to deliver desirable products that work first time. It incorporates recently emerging formulations of DFSS from industry leaders and offers more introductory material on the design of experiments, and on two level and full factorial experiments, to help improve student intuition-building and retention. The emphasis on lean production, combined with recent methods relating to Design for Six Sigma (DFSS), makes Introduction to Engineering Statistics and Lean Sigma a practical, up-to-date resource for advanced students, educators, and practitioners.

Author : Wuyi Zeng
Publisher : Springer Nature
Page : 225 pages
File Size : 48,9 Mb
Release : 2022-01-01
Category : Law
ISBN : 9789813366022

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A Study of Quality Management of Official Statistics in China by Wuyi Zeng Pdf

This book focuses on how to improve the quality management of official statistics in China. Official statistics help to build an overview of China’s social and economic development and play an important role in policymaking for government as well as in decision-making for enterprises. Because of the great value in reference, the quality of official statistics also constitutes the concern from the public. This book summarizes three levels for understanding the concept of the quality of official statistics and analyzes possible affections from social and economic environment, political and management perspectives. Government statistical data is an important information reflecting China’s economic and social development, an important tool for Party committees at all levels, governments, enterprises and the public to understand and grasp China’s economic operation and social development, an important basis for Party committees and governments at all levels to conduct economic and social management and decision-making and an important reference for enterprises and the public to make decisions on production, operation, investment and consumption. Therefore, the government, enterprises and the public at all levels are demanding more and more government statistics. Accordingly, the quality of government statistical data is becoming more and more important, because it concerns the objectivity and accuracy of government statistical data, the scientificity of economic and social management, the decision-making of Party committees, the correctness of production, operation, investment and consumption decisions of enterprises and the public. Therefore, the quality of government statistical data is extremely important, which is not only the focus of social concern, but also the core issue of government statistics.

Author : Robert A. Dovich
Publisher : ASQ Quality Press
Page : 0 pages
File Size : 55,8 Mb
Release : 1992
Category : Quality control
ISBN : 0873891414

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Quality Engineering Statistics by Robert A. Dovich Pdf

This book is a compendium of many of the statistical tools and tests used by quality and engineering professionals. it is a practical handbook that lists significant statistical methods, outlines assumptions for testing, and provides formulas and completed examples. the book is ideal for engineers who know what type of test to perform but need an easy-to-use reference to help complete the task. Readers should have an understanding of basic statistics. a bibliography contains references to texts that can provide the necessary theory and mathematical foundations.

Author : Irving W. Burr
Publisher : CRC Press
Page : 540 pages
File Size : 40,5 Mb
Release : 1976-02-01
Category : Business & Economics
ISBN : 0824763440

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Statistical Quality Control Methods by Irving W. Burr Pdf

Brief review of statistical background; Control charts in general; Control charts for measurements; Background of control charts for measurements; Control charts for attributes; Miscellaneous topics in control charts; Applications of control charts; Acceptance sampling by attributes; Some standard plans for attributes; Acceptance sampling by measurements; Sequential analysis; Some other sampling plants; Statistics of combinations, tolerances for mating parts; Some other frequency distributions.

Author : Eamonn Mullins
Publisher : Royal Society of Chemistry
Page : 474 pages
File Size : 48,7 Mb
Release : 2007-10-31
Category : Science
ISBN : 9781847551931

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Statistics for the Quality Control Chemistry Laboratory by Eamonn Mullins Pdf

Statistical methods are essential tools for analysts, particularly those working in Quality Control Laboratories. This book provides a sound introduction to their use in analytical chemistry, without requiring a strong mathematical background. It emphasises simple graphical methods of data analysis, such as control charts, which are also a fundamental requirement in laboratory accreditation. A large part of the book is concerned with the design and analysis of laboratory experiments, including sample size determination. Practical case studies and many real databases from both QC laboratories and the research literature, are used to illustrate the ideas in action. The aim of Statistics for the Quality Control Chemistry Laboratory is to give the reader a strong grasp of the concept of statistical variation in laboratory data and of the value of simple statistical ideas ad methods in thinking about and manipulation such data, It will be invaluable to analysts working in QC laboratories in industry, hospitals and public health, and will also be welcomed as a textbook for aspiring analysts in colleges and universities.

Author : Suddhendu Biswas
Publisher : New Central Book Agency
Page : 212 pages
File Size : 52,6 Mb
Release : 2007
Category : Mathematical statistics
ISBN : 8173814333

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Statistics Of Quality Control by Suddhendu Biswas Pdf

Author : John T. Burr
Publisher : CRC Press
Page : 480 pages
File Size : 44,9 Mb
Release : 2004-12-28
Category : Business & Economics
ISBN : 9781420056532

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Elementary Statistical Quality Control by John T. Burr Pdf

Maintaining the reader-friendly features of its popular predecessor, the Second Edition illustrates fundamental principles and practices in statistical quality control for improved quality, reliability, and productivity in the management of production processes and industrial and business operations. Presenting key concepts of statistical quality c

Author : Yuhlong Lio,Hon Keung Tony Ng,Tzong-Ru Tsai,Ding-Geng Chen
Publisher : Springer
Page : 402 pages
File Size : 52,9 Mb
Release : 2019-08-09
Category : Mathematics
ISBN : 9783030207090

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Statistical Quality Technologies by Yuhlong Lio,Hon Keung Tony Ng,Tzong-Ru Tsai,Ding-Geng Chen Pdf

This book explores different statistical quality technologies including recent advances and applications. Statistical process control, acceptance sample plans and reliability assessment are some of the essential statistical techniques in quality technologies to ensure high quality products and to reduce consumer and producer risks. Numerous statistical techniques and methodologies for quality control and improvement have been developed in recent years to help resolve current product quality issues in today’s fast changing environment. Featuring contributions from top experts in the field, this book covers three major topics: statistical process control, acceptance sampling plans, and reliability testing and designs. The topics covered in the book are timely and have a high potential impact and influence to academics, scholars, students and professionals in statistics, engineering, manufacturing and health.

Author : Nicholas R. Farnum
Publisher : Duxbury Resource Center
Page : 522 pages
File Size : 51,5 Mb
Release : 1994
Category : Business & Economics
ISBN : STANFORD:36105003426314

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Modern Statistical Quality Control and Improvement by Nicholas R. Farnum Pdf

Farnum's text takes a state-of-the-art approach to quality management. From the outset, it emphasizes the modern philosophy of continuous quality improvement and quality control. It is written for courses where both modern statistical methods for quality and their implementation into business are covered. In straightforward terms, the book explains the concepts and techniques that are essential to quality control, including cutting-edge topics.

Author : Stephen B. Vardeman,J. Marcus Jobe
Publisher : Springer
Page : 437 pages
File Size : 54,9 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

Author : Michael Thompson,Philip J Lowthian
Publisher : World Scientific
Page : 260 pages
File Size : 46,7 Mb
Release : 2011-02-16
Category : Mathematics
ISBN : 9781908977915

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Notes on Statistics and Data Quality for Analytical Chemists by Michael Thompson,Philip J Lowthian Pdf

This book is intended to help analytical chemists feel comfortable with more commonly used statistical operations and help them make effective use of the results. Emphasis is put upon computer-based methods that are applied in relation to measurement and the quality of the resulting data. The book is intended for analytical chemists working in industry but is also appropriate for students taking first degrees or an MSc in analytical chemistry. The authors have divided this book into quite short sections, each dealing with a single topic. The sections are as far as possible selfcontained, but are extensively cross-referenced. The book can therefore be used either systematically by reading the sections sequentially, or as a quick reference by going directly to the topic of interest. Every statistical method and application covered has at least one example where the results are analysed in detail. This enables readers to emulate this analysis on their own examples. All of the datasets used in examples are available for download, so that readers can compare their own output with that of the book and thus verify that they are entering data correctly into the statistical package that they happen to use. Contents:Statistics:PreliminariesThinking About Probabilities and DistributionsSimple Tests SignificanceAnalysis of Variance (ANOVA) and Its ApplicationsRegression and CalibrationRegression — More Complex AspectsAdditional Statistical TopicsData Quality in Analytical Measurement:Quality in Chemical MeasurementStatistical Methods Involved in ValidationInternal Quality ControlProficiency TestingSampling in Chemical Measurement Readership: Analytical chemists working in industry, students taking first degrees or an MSc in analytical chemistry. Keywords:Statistics;Data Quality;Analytical Chemistry;Analytical Sciences;Chemical Measurement;Uncertainty;Estimation;InferenceKey Features:The lead author chairs the Statistical Subcommittee in the Royal Society of Chemistry, UK, and has many years of experience teaching statistics to analytical chemists and knows where they have difficultyThere is a strong emphasis on the use of computers and graphical interpretation of dataReviews:“The book is a good description of basic statistical techniques for analytical chemists. There are a number of well established competitors on the market, however this book is definitely useful for a well stocked teaching lab and as reference for practicing analysts.”Chemistry World