Statistical Process Control And Quality Improvement
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Measuring Quality Improvement In Healthcare
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Author : Raymond G. Carey
language : en
Publisher: Quality Press
Release Date : 1995-01-01
Measuring Quality Improvement In Healthcare written by Raymond G. Carey and has been published by Quality Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-01-01 with Health & Fitness categories.
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.
Statistical Process Control And Quality Improvement
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Author : Gerald Smith
language : en
Publisher: Prentice Hall
Release Date : 2004
Statistical Process Control And Quality Improvement written by Gerald Smith and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Business & Economics categories.
For freshman/sophomore level introductory courses in SPC (Statistical Process Control), Statistical Quality Control or Quality Control found in two and four-year college curriculums, and in industrial training programs. This mathematics-friendly text introduces students to basic concepts and applications of Statistical Process Control (SPC). Students get a solid foundation in control charts-including setting scales, charting, interpreting, and analyzing process capability. Problem-solving techniques are emphasized, and all learning is linked to the implementation of SPC in the workplace.
Statistical Process Control And Quality Improvement
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Author : Gerald Smith
language : en
Publisher: Macmillan College
Release Date : 1995
Statistical Process Control And Quality Improvement written by Gerald Smith and has been published by Macmillan College this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Business & Economics categories.
Introduction To Statistical Process Control
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Author : Peihua Qiu
language : en
Publisher: CRC Press
Release Date : 2013-10-14
Introduction To Statistical Process Control written by Peihua Qiu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-14 with Business & Economics categories.
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
Statistical Process Control
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Author : John Oakland
language : en
Publisher: Routledge
Release Date : 2018-10-08
Statistical Process Control written by John Oakland and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-08 with Business & Economics categories.
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.
Statistical Process Control In Industry
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Author : R. J. M. M. Does
language : en
Publisher: Springer
Release Date : 1999-01-31
Statistical Process Control In Industry written by R. J. M. M. Does and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-01-31 with Business & Economics categories.
One of the central elements of total quality management is statistical process control (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 Dutch authors, two from academia and one from industry, discuss an activity plan for achieving statistically controlled processes, statistical tools, and consolidation and improvement of the results. An extensive checklist helps determine to what extent a business has succeeded. Originally published as Statistische Procesbeheersing in Bedriif in 1996 by Kluwer. Annotation copyrighted by Book News, Inc., Portland, OR
Statistical Process Control For The Food Industry
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Author : Sarina A. Lim
language : en
Publisher: John Wiley & Sons
Release Date : 2019-03-08
Statistical Process Control For The Food Industry written by Sarina A. Lim 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 2019-03-08 with Business & Economics categories.
A comprehensive treatment for implementing Statistical Process Control (SPC) in the food industry This book provides managers, engineers, and practitioners with an overview of necessary and relevant tools of Statistical Process Control, a roadmap for their implementation, the importance of engagement and teamwork, SPC leadership, success factors of the readiness and implementation, and some of the key lessons learned from a number of food companies. Illustrated with numerous examples from global real-world case studies, this book demonstrates the power of various SPC tools in a comprehensive manner. The final part of the book highlights the critical challenges encountered while implementing SPC in the food industry globally. Statistical Process Control for the Food Industry: A Guide for Practitioners and Managers explores the opportunities to deliver customized SPC training programs for local food companies. It offers insightful chapter covering everything from the philosophy and fundamentals of quality control in the food industry all the way up to case studies of SPC application in the food industry on both the quality and safety aspect, making it an excellent "cookbook" for the managers in the food industry to assess and initiating the SPC application in their respective companies. Covers concise and clear guidelines for the application of SPC tools in any food companies' environment Provides appropriate guidelines showing the organizational readiness level before the food companies adopt SPC Explicitly comments on success factors, motivations, and challenges in the food industry Addresses quality and safety issues in the food industry Presents numerous, global, real-world case studies of SPC in the food industry Statistical Process Control for the Food Industry: A Guide for Practitioners and Managers can be used to train upper middle and senior managers in improving food quality and reducing food waste using SPC as one of the core techniques. It's also an excellent book for graduate students of food engineering, food quality management and/or food technology, and process management.
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 Process Control For Quality Improvement
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Author : James Evans
language : en
Publisher: Pearson Education
Release Date : 1991-03-29
Statistical Process Control For Quality Improvement written by James Evans and has been published by Pearson Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991-03-29 with Technology & Engineering categories.
With today's growing emphasis on quality improvement, training individuals in fundamental quality control skills is a major challenge. Professionals in manufacturing industries need to bring processes into statistical control – and maintain them. This book is designed to help readers learn the statistical tools and concepts needed to develop and use quality control effectively.
Statistical Process Control For Quality Improvement Hardcover Version
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Author : J. Koronacki
language : en
Publisher: CRC Press
Release Date : 2001-12-26
Statistical Process Control For Quality Improvement Hardcover Version written by J. Koronacki and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-12-26 with Business & Economics categories.
The first edition of this groundbreaking text showed that the Statistical Process Control (SPC) paradigm of W. Edwards Deming was not at all the same as the Quality Control paradigm that has dominated American manufacturing since World War II. Its philosophy of good management is rooted in a paradigm as process-oriented as physics, yet produces a friendly and fulfilling work environment. This second edition broadens its view to reveal even more of Deming's philosophy and provides more techniques for use at the managerial level. It shows readers that CEOs and service industries need SPC at least as much as production lines, and it offers precise methods and guidelines for their use.