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Tools Of Total Quality

Author: Lyonnet
Publisher: Springer Science & Business Media
ISBN: 9780412376900
Size: 55.80 MB
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For a long time, quality has been one of industry's main preoccupations. It remains so today. There is some foundation for the statement that there is a 'quality crisis' in Europe, the methods traditionally used in our industries being unable to meet today's demands. Consequently it is essential to look for new directions in which to progress, taking account of the methods for achieving quality that have been developed in recent years. These methods impact on all parts of the industrial enterprise - marketing, manufacturing, research and development, after-sales services. All staff, administrative or technical, are involved. The present book describes the tools that can help anyone who is concerned with the concept of 'total quality'; it will also be a valuable educational aid for students reading for degrees or other qualifications in engineering. P. Lyonnet I General questions and concepts 1 INTRODUCTION: HOW CAN WE ACHIEVE TOTAL QUALITY? This book is concerned with the various techniques and methods of analysis that can be used to ensure total quality in a project. In this first chapter we show the costs that result from not achieving quality, so as to make clear how important a quality-assurance service is to any enterprise. We stress also the involvement of marketing, particularly in laying down specifications for reliability.

Introduction To Statistical Quality Control

Author: Douglas C. Montgomery
Publisher: John Wiley & Sons Incorporated
ISBN: 9780470233979
Size: 20.30 MB
Format: PDF, ePub
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The trusted guide to the statistical methods for quality control. Quality control and improvement is more than an engineering concern. Quality has become a major business strategy for increasing productivity and gaining competitive advantage. Introduction to Statistical Quality Control, Sixth Edition gives you a sound understanding of the principles of statistical quality control (SQC) and how to apply them in a variety of situations for quality control and improvement. With this text, you′ll learn how to apply state–of–the–art techniques for statistical process monitoring and control, design experiments for process characterization and optimization, conduct process robustness studies, and implement quality management techniques. You′ll appreciate the significant updates in the Sixth Edition including: ∗ In–depth attention to DMAIC, the problem–solving strategy of Six Sigma. It will give you an excellent framework to use in conducting quality improvement projects. ∗ New examples that illustrate applications of statistical quality improvement techniques in non–manufacturing settings. Many examples and exercises are based on real data. ∗ New developments in the area of measurement systems analysis ∗ New features of Minitab V15 incorporated into the text ∗ Numerous new examples, exercises, problems, and techniques to enhance your absorption of the material

Introduction To Statistical Process Control

Author: Peihua Qiu
Publisher: CRC Press
ISBN: 1482220415
Size: 60.69 MB
Format: PDF, ePub
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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 the more established techniques. The author—a leading researcher on SPC—shows how these methods can handle new applications. After exploring the role of SPC and other statistical methods in quality control and management, the book covers basic statistical concepts and methods useful in SPC. It then systematically describes traditional SPC charts, including the Shewhart, CUSUM, and EWMA charts, as well as recent control charts based on change-point detection and fundamental multivariate SPC charts under the normality assumption. The text also introduces novel univariate and multivariate control charts for cases when the normality assumption is invalid and discusses control charts for profile monitoring. All computations in the examples are solved using R, with R functions and datasets available for download on the author’s website. Offering a systematic description of both traditional and newer SPC methods, this book is ideal as a primary textbook for a one-semester course in disciplines concerned with process quality control, such as statistics, industrial and systems engineering, and management sciences. It can also be used as a supplemental textbook for courses on quality improvement and system management. In addition, the book provides researchers with many useful, recent research results on SPC and gives quality control practitioners helpful guidelines on implementing up-to-date SPC techniques.

Statistical Process Control

Author: Leonard A. Doty
Publisher: Industrial Press Inc.
ISBN: 9780831130695
Size: 24.17 MB
Format: PDF, Docs
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This in-depth introduction to SPC examines the technical aspects of the practices and procedures that are used to apply the quality management system in manufacturing. As in the successful first edition, the author provides a description and history of SPC along with an analysis of how it is applied to control quality costs, productivity, product improvement, and work efficiency. New to this edition are an explanation of seven basic tools, new charts, and an exploration of current trends.

Total Quality Management

Author: G. Kanji
Publisher: Springer Science & Business Media
ISBN: 9780412643804
Size: 42.14 MB
Format: PDF, ePub, Mobi
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In this book leading experts including George Box, Noriaki Kano, Yoshio Kondo, John Oakland and James Harrington, analyse and document various aspects of Total Quality Management. Contributions range from discussions of the principles, strategy, culture, leadership, eduction and benchmarking to world class experience and achieving excellence both in the manufacturing and service industries. With over 100 contributions this book is an invaluable resource for the total quality managment journey. It will be of special interest to educationalists, academics, senior managers and directors, and quality practitioners from both the public and private sectors.

Measuring Quality Improvement In Healthcare

Author: Raymond G. Carey
Publisher: ASQ Quality Press
ISBN: 0527762938
Size: 43.32 MB
Format: PDF, ePub, Docs
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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 Methods For Long And Short Runs

Author: Gary K. Griffith
Publisher: ASQ Quality Press
ISBN: 9780873893459
Size: 78.81 MB
Format: PDF, Kindle
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This basic, step-by-step guide for SPC has been revised to include the most up-to-date information on control charts, capability analysis, and statistical problem solving. Practice problems and answers allow the reader to work through SPC exercises. This second edition contains new information on the following topics: process control planning, short-run charts for variables and attributes, gage R & R, regression and correlation analysis, testing variances, and problem-solving tools.

Fundamentals Of Quality Control And Improvement

Author: Amitava Mitra
Publisher: John Wiley & Sons
ISBN: 1118705440
Size: 34.79 MB
Format: PDF, ePub, Docs
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A statistical approach to the principles of quality control and management Incorporating modern ideas, methods, and philosophies of quality management, Fundamentals of Quality Control and Improvement, Fourth Edition presents a quantitative approach to management-oriented techniques and enforces the integration of statistical concepts into quality assurance methods. Utilizing a sound theoretical foundation and illustrating procedural techniques through real-world examples, the timely new edition bridges the gap between statistical quality control and quality management. Promoting a unique approach, the book focuses on the use of experimental design concepts as well as the Taguchi method for creating product/process designs that successfully incorporate customer needs, improve lead time, and reduce costs. The Fourth Edition of Fundamentals of Quality Control and Improvement also includes: New topical coverage on risk-adjustment, capability indices, model building using regression, and survival analysis Updated examples and exercises that enhance the readers’ understanding of the concepts Discussions on the integration of statistical concepts to decision making in the realm of quality assurance Additional concepts, tools, techniques, and issues in the field of health care and health care quality A unique display and analysis of customer satisfaction data through surveys with strategic implications on decision making, based on the degree of satisfaction and the degree of importance of survey items Fundamentals of Quality Control and Improvement, Fourth Edition is an ideal book for undergraduate and graduate-level courses in management, technology, and engineering. The book also serves as a valuable reference for practitioners and professionals interested in expanding their knowledge of statistical quality control, quality assurance, product/process design, total quality management, and/or Six Sigma training in quality improvement.

Total Quality Management

Author: D.R Kiran
Publisher: Butterworth-Heinemann
ISBN: 0128110368
Size: 19.40 MB
Format: PDF, Mobi
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Total Quality Management: Key Concepts and Case Studies provides the full range of management principles and practices that govern the quality function. The book covers the fundamentals and background needed, as well as industry case studies and comprehensive topic coverage, making it an invaluable reference to both the novice and the more experienced individual. Aspects of quality control that are widely utilized in practice are combined with those that are commonly referred to on University courses, and the latest developments in quality concepts are also presented. This book is an ideal quick reference for any manager, designer, engineer, or researcher interested in quality. Features two chapters on the latest ISO standards Includes an introduction to statistics to help the reader fully grasp content on statistical quality control Contains case studies that explore many TQM themes in real life situations