Basic Statistical Tools For Improving Quality
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Basic Statistical Tools For Improving Quality
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Author : Chang W. Kang
language : en
Publisher: John Wiley & Sons
Release Date : 2012-08-29
Basic Statistical Tools For Improving Quality written by Chang W. Kang and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-29 with Technology & Engineering categories.
This book is an introductory book on improving the quality of a process or a system, primarily through the technique of statistical process control (SPC). There are numerous technical manuals available for SPC, but this book differs in two ways: (1) the basic tools of SPC are introduced in a no-nonsense, simple, non-math manner, and (2) the methods can be learned and practiced in an uncomplicated fashion using free software (eZ SPC 2.0), which is available to all readers online as a downloadable product. The book explains QC7 Tools, control charts, and statistical analysis including basic design of experiments. Theoretical explanations of the analytical methods are avoided; instead, results are interpreted through the use of the software.
Basic Statistics
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Author : Mark Jay Kiemele
language : en
Publisher:
Release Date : 1997
Basic Statistics written by Mark Jay Kiemele and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Production management categories.
Statistical Methods For Quality Improvement
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Author : Thomas P. Ryan
language : en
Publisher: John Wiley & Sons
Release Date : 2011-09-20
Statistical Methods For Quality Improvement written by Thomas P. Ryan and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-20 with Technology & Engineering categories.
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 For Quality Assurance
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Author : Stephen B. Vardeman
language : en
Publisher: Springer
Release Date : 2016-08-26
Statistical Methods For Quality Assurance written by Stephen B. Vardeman and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-26 with Mathematics categories.
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
Total Quality Management Revised Edition
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Author :
language : en
Publisher: Pearson Education India
Release Date : 2011
Total Quality Management Revised Edition written by and has been published by Pearson Education India this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Total quality management categories.
Statistical Methods For Quality Assurance
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Author : Stephen B. Vardeman
language : en
Publisher: Springer
Release Date : 2016-03-03
Statistical Methods For Quality Assurance written by Stephen B. Vardeman and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-03 with Mathematics categories.
The rich set of examples and problems integrated throughout this book will help readers gain a better understanding of where and how to apply Statistical Quality Control (SQC) tools. Real projects, cases and data sets show clearly how SQC tools are used in practice. Topics are covered in the right amount of detail to give insight into their relative importance in modern quality assurance and the ability to immediately use them.
Quality Improvement Through Statistical Methods
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Author : Bovas Abraham
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Quality Improvement Through Statistical Methods written by Bovas Abraham and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Mathematics categories.
This book is based on the papers presented at the International Conference 'Quality Improvement through Statistical Methods' in Cochin, India during December 28-31, 1996. The Conference was hosted by the Cochin University of Science and Technology, Cochin, India; and sponsored by the Institute for Improvement in Quality and Productivity (IIQP) at the University of Waterloo, Canada, the Statistics in Industry Committee of the International Statistical Institute (lSI) and by the Indian Statistical Institute. There has been an increased interest in Quality Improvement (QI) activities in many organizations during the last several years since the airing of the NBC television program, "If Japan can ... why can't we?" Implementation of QI meth ods requires statistical thinking and the utilization of statistical tools, thus there has been a renewed interest in statistical methods applicable to industry and technology. This revitalized enthusiasm has created worldwide discussions on Industrial Statistics Research and QI ideas at several international conferences in recent years. The purpose of this conference was to provide a forum for presenting and ex changing ideas in Statistical Methods and for enhancing the transference of such technologies to quality improvement efforts in various sectors. It also provided an opportunity for interaction between industrial practitioners and academia. It was intended that the exchange of experiences and ideas would foster new international collaborations in research and other technology transfers.
Statistical Methods For Quality Improvement
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Author : Hitoshi Kume
language : en
Publisher: Productivity Press
Release Date : 1987-08-05
Statistical Methods For Quality Improvement written by Hitoshi Kume and has been published by Productivity Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987-08-05 with Business & Economics categories.
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.
A Practical Guide To Statistical Quality Improvement
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Author : Michael R. Beauregard
language : en
Publisher: Springer
Release Date : 1992-01-09
A Practical Guide To Statistical Quality Improvement written by Michael R. Beauregard and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992-01-09 with Business & Economics categories.
A Practical Guide to Statistical Quality Improvement: Opening Up the Statistical Toolbox is designed as a reference guide for the engineer, supervisor, and manager. The intent of the text is to present conventional statistical quality improvement tools in a user-friendly form. We have worked to take some of the "mystique" out of the statistics and help others put these powerful tools to effective use in a Total Quality Manage Management (TQM) environment. This isn't a text on TQM. TQM has three elements (as shown in Figure i.1): 1. Creating the environment 2. The continuous improvement toolbox 3. Employee empowerment This text focuses almost exclusively on the middle element, the continuous improvement (CI) toolbox. Further, Opening Up the Statistical Toolbox does not present a complete set of tools intended to "fill" the CI toolbox; only the statistical tools and some of the basic team process tools are covered. The CI toolbox, in reality, will never get "filled". A comprehensive toolbox will include extensive team process skills and technology specific tools complimentary to the statistical tools included here. THE THREE KEY ELEMENTS OF TQM THE CONTINUOUS IMPROVEMENT TOOLBOX EMPLOYEE EMPOWERMENT FIGURE i.I.
Basic Statistical Techniques For Medical And Other Professionals
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Author : David J. Smith
language : en
Publisher: CRC Press
Release Date : 2021-10-25
Basic Statistical Techniques For Medical And Other Professionals written by David J. Smith and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-25 with Business & Economics categories.
We are bombarded with statistical data each and every day, and healthcare professionals are no exception. All sectors of healthcare rely on data provided by insurance companies, consultants, research firms, and government to help them make a host of decisions regarding the delivery of medical services. But while these health professionals rely on data, do they really make the best use of the information? Not if they fail to understand whether the assumptions behind the formulas generating the numbers make sense. Not if they don’t understand that the world of healthcare is flooded with inaccurate, misleading, and even dangerous statistics. The purpose of this book is to provide members of medical and other professions, including scientists and engineers, with a basic understanding of statistics and probability together with an explanation and worked examples of the techniques. It does not seek to confuse the reader with in-depth mathematics but provides basic methods for interpreting data and making inferences. The worked examples are medically based, but the principles apply to the analysis of any numerical data.