Statistical Process Control For Quality Improvement- Hardcover Version

Statistical Process Control For Quality Improvement- Hardcover Version
Author: J. Koronacki
Publisher: Chapman and Hall/CRC
Total Pages: 456
Release: 2001-12-26
Genre: Business & Economics
ISBN: 9781584882428

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 rooted in a paradigm as process-oriented as physics, yet produces a friendly and fulfilling work environment. The first edition of this groundbreaking text showed that the 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. Statistical Process Control: The Deming Paradigm and Beyond, Second Edition reveals even more of Deming's philosophy and provides more techniques for use at the managerial level. Explaining that CEOs and service industries need SPC at least as much as production managers, it offers precise methods and guidelines for their use. Using the practical experience of the authors working both in America and Europe, this book shows how SPC can be implemented in a variety of settings, from health care to manufacturing. It also provides you with the necessary technical background through mathematical and statistical appendices. According to the authors, companies with managers who have adopted the philosophy of statistical process control tend to survive. Those with managers who do not are likely to fail. In which group will your company be?

Statistical Process Control For Quality Improvement

Statistical Process Control For Quality Improvement
Author: James Evans
Publisher: Pearson Education
Total Pages: 231
Release: 1991-03-29
Genre: Technology & Engineering
ISBN: 0132442019

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.

Introduction to Statistical Process Control

Introduction to Statistical Process Control
Author: Peihua Qiu
Publisher: CRC Press
Total Pages: 520
Release: 2013-10-14
Genre: Business & Economics
ISBN: 1482220415

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 for Quality Improvement- Hardcover Version

Statistical Process Control for Quality Improvement- Hardcover Version
Author: J.. THOMPSON KORONACKI (J. R.)
Publisher: CRC Press
Total Pages: 454
Release: 2020-06-30
Genre:
ISBN: 9780367578688

The first edition of this groundbreaking text showed that the 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. Statistical Process Control: The Deming Paradigm and Beyond, Second Edition reveals even more of Deming's philosophy and provides more techniques for use at the managerial level. Explaining that CEOs and service industries need SPC at least as much as production managers, it offers precise methods and guidelines for their use. Using the practical experience of the authors working both in America and Europe, this book shows how SPC can be implemented in a variety of settings, from healthcare to manufacturing. Features, Provides a comprehensive treatment of the Theory of Contaminated Distributions, a theory that forms a basis for SPC, Develops algorithms tor SPC based on higher dimensional data, Describes exploratory and graphical techniques for diagnosing the cause of a manufacturing or service problem, Demonstrates new graphical techniques that help clarify complex problems encountered at the planning stage, Offers optimization techniques useful in the design and analysis of experiments, including the simplex algorithm of Nelder and Mead as well as the rotatable designs of Box, Hunter, and Draper, Introduces bootstrapping as a means of test design and evaluation in SPC, Demonstrates new Bayesian-Pareto techniques for SPC, Explains the Seven Managerial and Planning Tools, Develops nonparametric tests for SPC, Examines testing procedures using numerous practical examples Book jacket.

Measuring Quality Improvement in Healthcare

Measuring Quality Improvement in Healthcare
Author: Raymond G. Carey
Publisher: Quality Press
Total Pages: 339
Release: 2001-09-25
Genre: Health & Fitness
ISBN: 1636940811

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

Improving Healthcare with Control Charts

Improving Healthcare with Control Charts
Author: Raymond G. Carey
Publisher: Quality Press
Total Pages: 285
Release: 2003-01-01
Genre: Health & Fitness
ISBN: 0873895622

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.

Introduction to Statistical Quality Control

Introduction to Statistical Quality Control
Author: Christina M. Mastrangelo
Publisher: Wiley
Total Pages: 244
Release: 1991
Genre: Business & Economics
ISBN:

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.

Statistical Process Control for Managers

Statistical Process Control for Managers
Author: Victor E. Sower
Publisher: Business Expert Press
Total Pages: 176
Release: 2014-08-31
Genre: Business & Economics
ISBN: 1606498479

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.