Quality Improvement Through Statistical Methods

Author : Thomas P. Ryan
Publisher : John Wiley & Sons
ISBN 13 : 1118058100
Total Pages : 578 pages
Book Rating : 4.07/5 ( download)

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Download or read book Statistical Methods for Quality Improvement written by Thomas P. Ryan and published by John Wiley & Sons. This book was released on 2011-09-20 with total page 578 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Hitoshi Kume
Publisher : Productivity Press
ISBN 13 : 9784906224340
Total Pages : 231 pages
Book Rating : 4.42/5 ( download)

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Download or read book Statistical Methods for Quality Improvement written by Hitoshi Kume and published by Productivity Press. This book was released on 1987-08-05 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Bovas Abraham
Publisher : Springer Science & Business Media
ISBN 13 : 1461217768
Total Pages : 450 pages
Book Rating : 4.63/5 ( download)

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Download or read book Quality Improvement Through Statistical Methods written by Bovas Abraham and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Gerald Smith
Publisher : Macmillan College
ISBN 13 :
Total Pages : 600 pages
Book Rating : 4.60/5 ( download)

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Download or read book Statistical Process Control and Quality Improvement written by Gerald Smith and published by Macmillan College. This book was released on 1995 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Thomas P. Ryan
Publisher : Wiley-Interscience
ISBN 13 :
Total Pages : 598 pages
Book Rating : 4.2H/5 ( download)

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Download or read book Statistical Methods for Quality Improvement written by Thomas P. Ryan and published by Wiley-Interscience. This book was released on 2000-02-14 with total page 598 pages. Available in PDF, EPUB and Kindle. Book excerpt: Special features of Statistical Methods for Quality Improvement, Second Edition include: greatly expanded chapters on process capability indices and multivariate control chart methods; improved attributes control charts based on the author's research; a detailed presentation of Six Sigma programs; a new, separate chapter on CUSUM and EWMA procedures; new material on robust design and Taguchi-type procedures; chapter appendices for more in-depth coverage of selected topics; and very extensive and up-to-date references in each chapter, in addition to a bibliography of papers on a variety of control chart applications."--Jacket.

Author : Raymond G. Carey
Publisher : Quality Press
ISBN 13 : 1636940811
Total Pages : 339 pages
Book Rating : 4.16/5 ( download)

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Download or read book Measuring Quality Improvement in Healthcare written by Raymond G. Carey and published by Quality Press. This book was released on 2001-09-25 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: This ground-breaking book addresses the critical, growing need among health care administrators and practitioners to measure the effectiveness of quality improvement efforts. Written by respected healthcare quality professionals, Measuring Quality Improvement in Healthcare covers practical applications of the tools and techniques of statistical process control (SPC), including control charts, in healthcare settings. The authors' straightforward discussions of data collection, variation, and process improvement set the context for the use and interpretation of control charts. Their approach incorporates "the voice of the customer" as a key element driving the improvement processes and outcomes. The core of the book is a set of 12 case studies that show how to apply statistical thinking to health care process, and when and how to use different types of control charts. The practical, down-to-earth orientation of the book makes it accessible to a wide readership. "Only authors who have used statistics and control charts to solve real-world healthcare problems could have written a book so practical and timely." - Barry S. Bader, Publisher The Quality Letter for Healthcare Leaders "Many clinicians and other healthcare leaders underestimate the great contributions that better statistical thinking could make toward reducing costs and improving outcomes. This fascinating and timely book is a fine guide for getting started." - Donald M. Berwick, M.D. President and CEO, Institute for Healthcare Improvement Associate Professor of Pediatrics, Harvard Medical School Contents: Planning Your CQI Journey, Preparing to Collect Data, Data Collection, Understanding Variation, Using Run and Control Charts to Analyze Process Variation, Control Chart Case Studies, Developing Improvement Strategies, Using Patient Surveys for CQI, Formulas for Calculating Control Limits

Author : Ronald Moen
Publisher : McGraw Hill Professional
ISBN 13 : 0071759670
Total Pages : 497 pages
Book Rating : 4.70/5 ( download)

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Download or read book Quality Improvement Through Planned Experimentation 3E (PB) written by Ronald Moen and published by McGraw Hill Professional. This book was released on 2012-06-05 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: The latest experimental design techniques for quality improvement "The methods taught in this book are a major contribution to statistical methods as an aid to engineers, as well as to those in industry, education, or government who are trying to understand the meaning of fi gures derived from comparisons or experiments." -- W. EDWARDS DEMING Co-written by three recipients of the Deming Medal awarded by the American Society for Quality (ASQ), Quality Improvement through Planned Experimentation, Third Edition discusses the principles and methodologies for planning and conducting experiments to improve products, processes, or systems. Fully revised with up-to-date case studies and incorporating new software, this authoritative guide fosters the sequential building of knowledge essential for implementing effective improvements. End-of-chapter exercises reinforce what you've learned, and forms for designing planned experiments help you to integrate the methods in the book into your daily work. The methods of planned experimentation provide an opportunity to better meet the needs of customers, reduce costs, and increase productivity by effecting verifiably beneficial changes. COVERAGE INCLUDES: * Improvement of quality * Principles for design and analysis of planned experiments * Experiments with one factor * Experiments with more than one factor * Reducing the size of experiments * Evaluating sources of variation * Sequential experimentation * Using a time series response variable * Designs with factors at more than two levels * Applications in health care * New product design NEW: Study-it software available for download!

Author : Stephen B. Vardeman
Publisher : Springer
ISBN 13 : 038779106X
Total Pages : 447 pages
Book Rating : 4.67/5 ( download)

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Download or read book Statistical Methods for Quality Assurance written by Stephen B. Vardeman and published by Springer. This book was released on 2016-08-26 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Alex Bottle
Publisher : CRC Press
ISBN 13 : 1315355469
Total Pages : 184 pages
Book Rating : 4.67/5 ( download)

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Download or read book Statistical Methods for Healthcare Performance Monitoring written by Alex Bottle and published by CRC Press. This book was released on 2016-08-05 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: Healthcare is important to everyone, yet large variations in its quality have been well documented both between and within many countries. With demand and expenditure rising, it’s more crucial than ever to know how well the healthcare system and all its components – from staff member to regional network – are performing. This requires data, which inevitably differ in form and quality. It also requires statistical methods, the output of which needs to be presented so that it can be understood by whoever needs it to make decisions. Statistical Methods for Healthcare Performance Monitoring covers measuring quality, types of data, risk adjustment, defining good and bad performance, statistical monitoring, presenting the results to different audiences and evaluating the monitoring system itself. Using examples from around the world, it brings all the issues and perspectives together in a largely non-technical way for clinicians, managers and methodologists. Statistical Methods for Healthcare Performance Monitoring is aimed at statisticians and researchers who need to know how to measure and compare performance, health service regulators, health service managers with responsibilities for monitoring performance, and quality improvement scientists, including those involved in clinical audits.

Author : Graham B. McBride
Publisher : John Wiley & Sons
ISBN 13 : 0471733202
Total Pages : 343 pages
Book Rating : 4.01/5 ( download)

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Download or read book Using Statistical Methods for Water Quality Management written by Graham B. McBride and published by John Wiley & Sons. This book was released on 2005-05-27 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: STATISTICS IN PRACTICE A practical exploration of alternative approaches to analyzing water-related environmental issues Written by an experienced environmentalist and recognized expert in the field, this text is designed to help water resource managers and scientists to formulate, implement, and interpret more effective methods of water quality management. After presenting the basic foundation for using statistical methods in water resource management, including the use of appropriate hypothesis test procedures and some rapid calculation procedures, the author offers a range of practical problems and solutions on environmental topics that often arise, but are not generally covered. These include: * Formulating water quality standards * Determining compliance with standards * MPNs and microbiology * Water-related, human health risk modeling * Trends, impacts, concordance, and detection limits In order to promote awareness of alternative approaches to analyzing data, both frequentist and Bayesian, statistical methods are contrasted in terms of their applicability to various environmental issues. Each chapter ends with a number of set problems for which full answers are provided. The book also encourages discussion between technical staff and management before embarking on statistical studies.