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Statistical Process Control For Quality Improvement Hardcover Version
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Book Synopsis Statistical Process Control Quality by : James R. Thompson
Download or read book Statistical Process Control Quality written by James R. Thompson and published by Chapman and Hall/CRC. This book was released on 1993-04-29 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Statistical Process Control and Quality Improvement by : Gerald Smith
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:
Book Synopsis Measuring Quality Improvement in Healthcare by : Raymond G. Carey
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
Book Synopsis Introduction to Statistical Process Control by : Peihua Qiu
Download or read book Introduction to Statistical Process Control written by Peihua Qiu and published by CRC Press. This book was released on 2013-10-14 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: A major tool for quality control and management, statistical process control (SPC) monitors sequential processes, such as production lines and Internet traffic, to ensure that they work stably and satisfactorily. Along with covering traditional methods, Introduction to Statistical Process Control describes many recent SPC methods that improve upon
Book Synopsis Measuring the Software Process by : William A. Florac
Download or read book Measuring the Software Process written by William A. Florac and published by Addison-Wesley Professional. This book was released on 1999-07-15 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: "While it is usually helpful to launch improvement programs, many such programs soon get bogged down in detail. They either address the wrong problems, or they keep beating on the same solutions, wondering why things don't improve. This is when you need an objective way to look at the problems. This is the time to get some data." Watts S. Humphrey, from the Foreword This book, drawing on work done at the Software Engineering Institute and other organizations, shows how to use measurements to manage and improve software processes. The authors explain specifically how quality characteristics of software products and processes can be quantified, plotted, and analyzed so the performance of software development activities can be predicted, controlled, and guided to achieve both business and technical goals. The measurement methods presented, based on the principles of statistical quality control, are illuminated by application examples taken from industry. Although many of the methods discussed are applicable to individual projects, the book's primary focus is on the steps software development organizations can take toward broad-reaching, long-term success. The book particularly addresses the needs of software managers and practitioners who have already set up some kind of basic measurement process and are ready to take the next step by collecting and analyzing software data as a basis for making process decisions and predicting process performance. Highlights of the book include: Insight into developing a clear framework for measuring process behavior Discussions of process performance, stability, compliance, capability, and improvement Explanations of what you want to measure (and why) and instructions on how to collect your data Step-by-step guidance on how to get started using statistical process control If you have responsibilities for product quality or process performance and you are ready to use measurements to manage, control, and predict your software processes, this book will be an invaluable resource.
Book Synopsis Improving Healthcare with Control Charts by : Raymond G. Carey
Download or read book Improving Healthcare with Control Charts written by Raymond G. Carey and published by Quality Press. This book was released on 2003-01-01 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: Do you feel you are drowning in a sea of data and wondering how you can learn from all of this information? While measuring quality efforts in healthcare is essential to the overall performance of any healthcare organization, it is also very complex, leaving many feeling overwhelmed and with a lot of unanswered questions: What are SPC methods and can they really help to improve healthcare? How can control charts be used to monitor key processes and outcomes? How can physicians use control charts to improve their clinical practice? In his latest book, Dr. Raymond Carey answers these questions and more as he helps to explain the need for, and the use of, SPC in healthcare. In Improving Healthcare with Control Charts: Basic and Advanced SPC Methods and Case Studies, Carey expands on his previous best-selling book, Measuring Quality Improvement in Healthcare, by providing more in-depth information on problems commonly experienced in constructing and analyzing control charts. He outlines specific SPC concepts, theories, and methods that will help improve measurement and therefore improve overall performance. Carey also presents many new case studies applying advanced methods and theory to real life healthcare situations.
Book Synopsis Introduction to Statistical Quality Control by : Christina M. Mastrangelo
Download or read book Introduction to Statistical Quality Control written by Christina M. Mastrangelo and published by Wiley. This book was released on 1991 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Statistical Process Control for Managers by : Victor E. Sower
Download or read book Statistical Process Control for Managers written by Victor E. Sower and published by Business Expert Press. This book was released on 2014-08-31 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you have been frustrated by very technical statistical process control (SPC) training materials, then this is the book for you. This book focuses on how SPC works and why managers should consider using it in their operations. It provides you with a conceptual understanding of SPC so that appropriate decisions can be made about the benefits of incorporating SPC into the process management and quality improvement processes. Today, there is little need to make the necessary calculations by hand, so the author utilizes Minitab and NWA Quality Analyst—two of the most popular statistical analysis software packages on the market. Links are provided to the home pages of these software packages where trial versions may be downloaded for evaluation and trial use. The book also addresses the question of why SPC should be considered for use, the process of implementing SPC, how to incorporate SPC into problem identification, problem solving, and the management and improvement of processes, products, and services.
Book Synopsis Statistical Process Control For Quality Improvement- Hardcover Version by : J. Koronacki
Download or read book Statistical Process Control For Quality Improvement- Hardcover Version written by J. Koronacki and published by CRC Press. This book was released on 2001-12-26 with total page 455 pages. Available in PDF, EPUB and Kindle. Book excerpt: While the common practice of Quality Assurance aims to prevent bad units from being shipped beyond some allowable proportion, statistical process control (SPC) ensures that bad units are not created in the first place. Its philosophy of continuous quality improvement, to a great extent responsible for the success of Japanese manufacturing, is roote
Book Synopsis Statistical Process Control in Industry by : R.J. Does
Download or read book Statistical Process Control in Industry written by R.J. Does and published by Springer Science & Business. This book was released on 1999-01-31 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the past decade interest in quality management has greatly increased. One of the central elements of Total Quality Management is Statistical Process Control, more commonly known as SPC. This book describes the pitfalls and traps which businesses encounter when implementing and assuring SPC. Illustrations are given from practical experience in various companies. The following subjects are discussed: implementation of SPC, activity plan for achieving statistically controlled processes, statistical tools, and lastly, consolidation and improvement of the results. Also, an extensive checklist is provided with which a business can determine to what extent it has succeeded in the actual application of SPC. Audience: This volume is written for companies which are going to implement SPC, or which need a new impetus in order to get SPC properly off the ground. It will be of interest in particular to researchers whose work involves statistics and probability, production, operation and manufacturing management, industrial organisation and mathematical and quantitative methods. It will also appeal to specialists in engineering and management, for example in the electronic industry, discrete parts industry, process industry, automotive and aircraft industry and food industry.
Book Synopsis Statistical Process Control by : Robert James Oakland
Download or read book Statistical Process Control written by Robert James Oakland and published by Routledge. This book was released on 2018-10-08 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: The business, commercial and public-sector world has changed dramatically since John Oakland wrote the first edition of Statistical Process Control – a practical guide in the mid-eighties. Then people were rediscovering statistical methods of ‘quality control’ and the book responded to an often desperate need to find out about the techniques and use them on data. Pressure over time from organizations supplying directly to the consumer, typically in the automotive and high technology sectors, forced those in charge of the supplying production and service operations to think more about preventing problems than how to find and fix them. Subsequent editions retained the ‘took kit’ approach of the first but included some of the ‘philosophy’ behind the techniques and their use. The theme which runs throughout the 7th edition is still processes - that require understanding, have variation, must be properly controlled, have a capability, and need improvement - the five sections of this new edition. SPC never has been and never will be simply a ‘took kit’ and in this book the authors provide, not only the instructional guide for the tools, but communicate the management practices which have become so vital to success in organizations throughout the world. The book is supported by the authors' extensive and latest consulting work within thousands of organisations worldwide. Fully updated to include real-life case studies, new research based on client work from an array of industries, and integration with the latest computer methods and Minitab software, the book also retains its valued textbook quality through clear learning objectives and end of chapter discussion questions. It can still serve as a textbook for both student and practicing engineers, scientists, technologists, managers and for anyone wishing to understand or implement modern statistical process control techniques.
Book Synopsis SPC Simplified by : Robert T. Amsden
Download or read book SPC Simplified written by Robert T. Amsden and published by Unipub. This book was released on 1986 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written in clear language, this hands-on manual simplifies the essentials for monitoring, analyzing, and improving quality. The authors explain how to set up and use variable and attribute control charts, as well as analyze frequency histograms, and evaluate machine and process capability.
Book Synopsis Statistical Process Control for Real-World Applications by : William A. Levinson
Download or read book Statistical Process Control for Real-World Applications written by William A. Levinson and published by CRC Press. This book was released on 2010-12-21 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: The normal or bell curve distribution is far more common in statistics textbooks than it is in real factories, where processes follow non-normal and often highly skewed distributions. Statistical Process Control for Real-World Applications shows how to handle non-normal applications scientifically and explain the methodology to suppliers and custom
Book Synopsis Statistical Process Control Demystified by : Paul A. Keller
Download or read book Statistical Process Control Demystified written by Paul A. Keller and published by McGraw Hill Professional. This book was released on 2011-06-05 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: INCREASE your odds of learning STATISTICAL process control (SPC) Identify and reduce variation in business processes using SPC--the powerful analysis tool for process evaluation and improvement. Statistical Process Control Demystified shows you how to use SPC to enable data-driven decision making and gain a competitive advantage in the marketplace. Written in a step-by-step format, this practical guide explains how to analyze process data, collect data, and determine the suitability of a process in meeting requirements. Attribute and X-bar control charts are discussed, as are charts for individuals data. You'll also get details on process improvement and measurement systems analysis. Detailed examples, calculations, and statistical assumptions make it easy to understand the material, and end-of-chapter quizzes and a final exam help reinforce key concepts. It's a no-brainer! You'll learn about: Control chart interpretation Overcoming common errors in the use of SPC and general statistical analysis tools Sampling requirements Analysis using Excel Estimating process variation Designed experiments Measurement systems analysis, including R&R studies Continuous process improvement strategies Simple enough for a beginner, but challening enough for an advanced student, Statistical Process Control Demystified is your shortcut to this powerful analysis solution.
Book Synopsis Statistical Process Adjustment for Quality Control by : Enrique del Castillo
Download or read book Statistical Process Adjustment for Quality Control written by Enrique del Castillo and published by Wiley-Interscience. This book was released on 2002-04-04 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quality control is a major concern and the best method for ensuring proper quality is to establish process adjustments. This text presents statistical methods for process adjustment and their relation to the classical methods of process monitoring.
Book Synopsis Introduction to Statistical Quality Control by : Douglas C. Montgomery
Download or read book Introduction to Statistical Quality Control written by Douglas C. Montgomery and published by John Wiley & Sons. This book was released on 2019-12-30 with total page 773 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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."--
Book Synopsis SPC Methods for Quality Improvement by : C. P. Quesenberry
Download or read book SPC Methods for Quality Improvement written by C. P. Quesenberry and published by . This book was released on 1997-04 with total page 712 pages. Available in PDF, EPUB and Kindle. Book excerpt: SPC METHODS FOR QUALITY IMPROVEMENT A comprehensive, applications-oriented guide to classical and cutting-edge SPC tools and techniques Written by a leading innovator in the field, SPC Methods for Quality Improvement provides a complete blueprint for integrating SPC methods into the manufacturing process. It explains methods for improving existing SPC systems and describes cutting-edge techniques that enable managers to develop full-fledged SPC systems in industries that traditionally were considered off-limits to this type of statistical analysis. The only guide to SPC geared exclusively to the practical concerns of manufacturing professionals, it translates statistical/mathematical concepts into real-world applications with the help of dozens of case studies and examples drawn from a variety of industries. SPC Methods for Quality Improvement is also a superb introductory text for students and newcomers to SPC. The author patiently introduces readers to essential SPC concepts and procedures and provides methodical, step-by-step instruction in the proper use of SPC tools and techniques. In the 1920s and 30s, Walter Shewhart of Bell Telephone Laboratories developed Statistical Process Control (SPC) as a means of analyzing manufacturing processes at the shop-floor level. Shewhart and his disciples—most notably W. Edwards Deming, father of total quality management—realized that SPC provided a sophisticated tool for assessing and improving quality at all levels. SPC, therefore, was the backbone of the quality management revolution of the 1980s and 90s. Yet, until now, there was no comprehensive, practical guide to SPC methods for engineers and managers working in manufacturing. SPC Methods for Quality Improvement fills that vacuum with complete coverage of SPC concepts, tools, and techniques geared to the practical concerns of manufacturing professionals. Dr. Charles Quesenberry introduces all statistical/mathematical essentials and carefully explains the rationale behind each concept. He employs vivid case studies to show how these concepts translate into real-world applications. Using examples drawn from a broad array of industries—from semiconductors to food processing, biomedical engineering to education—he deftly illustrates how SPC methods can streamline the manufacturing process and improve product quality. SPC Methods for Quality Improvement provides detailed, step-by-step guidance on the uses of both classical and second-generation SPC methods. Among cutting-edge methods described are those for charting processes without prior data, charting processes from start-up, and charting short runs with known false alarm rates. Readers also learn methods for studying the form of a reference distribution; how to use transformations to Q-statistics for various models; how to treat data from skewed distributions; and new ways of treating regression, multivariate, and autocorrelated data. An excellent text/primer for students and those new to SPC, SPC Methods for Quality Improvement is also a valuable guide for industrial and production engineers and managers who wish to improve existing SPC systems or to introduce SPC methods into industries where they were once inapplicable.