Statistical Process Control For Quality Improvement- Hardcover Version, Koronacki, J.
Автор: Mundwiller, Stephen (Managing Director, SME Quality Resources LLC, St. Louis, MO USA) Название: Statistical Process Control ISBN: 0367781778 ISBN-13(EAN): 9780367781774 Издательство: Taylor&Francis Рейтинг: Цена: 50010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book will explain these concepts by using a simple methodology that will bring a much greater level of understanding to those that use it by providing a detailed description of the method, using common language, real-world examples to illustrate the concept, and instructions on easy implementation.
Автор: Mundwiller, Stephen|| Название: Statistical Process Control ISBN: 1498799132 ISBN-13(EAN): 9781498799133 Издательство: Taylor&Francis Рейтинг: Цена: 107190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book will explain these concepts by using a simple methodology that will bring a much greater level of understanding to those that use it by providing a detailed description of the method, using common language, real-world examples to illustrate the concept, and instructions on easy implementation.
Автор: Qiu Название: Introduction to Statistical Process Control ISBN: 1439847991 ISBN-13(EAN): 9781439847992 Издательство: Taylor&Francis Рейтинг: Цена: 117390.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
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.
Автор: Gisi, Philip J. Название: Sustaining a culture of process control and continuous improvement ISBN: 113829733X ISBN-13(EAN): 9781138297333 Издательство: Taylor&Francis Рейтинг: Цена: 44910.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This comprehensive book presents a methodology for continuous process improvement in a structured, logical, and easily understandable framework based on industry accepted tools, techniques, and practices. It begins by explaining the conditions necessary for establishing a stable and capable process and the actions required to maintain process control, while setting the stage for sustainable efficiency improvements driven by waste elimination and process flow enhancement. This structured approach makes a clear connection between the need for a quality process to serve as the foundation for incremental efficiency improvements. This book moves beyond talking about the value contribution of tools and techniques for process control and continuous improvement by focusing on the daily work routines necessary to maintain and sustain these activities as part of a lean process and management mindset. Part 1 discusses process quality improvement with an understanding of variation and its impact on process performance. It continues by stressing the importance of standardizing a process to achieve process stability. Once process stability is reflected in a consistent and predictable output, attention is turned to ensuring the process is capable of consistently meeting customer requirements. This series of activities sets the foundation for process control and the sustainable pursuit of efficiency improvements. Part 2 focuses on efficiency improvement by eliminating waste while improving process flow using proven tools and methods. Although there is a clear relationship between waste elimination and process flow, these activities are discussed separately to allow those more interested in waste elimination to work independently from those looking to optimize value stream flow. Part 3 explores the principles, practices, systems, and behaviors required to maintain process control while creating a mindset of continuous incremental improvement. It considers the role organizational structure, discipline, and accountability play as essential components for long term operational success. This book will: Provide readers with a clear roadmap for establishing, achieving, and maintaining process control as the foundation upon which to pursue efficiency improvements. Establish direction and methods for continuous and sustainable process improvement Define the practices, systems, and behaviors required to realize desired results and develop a culture of process control and continuous improvement along the road to operational excellence.
Автор: Lyonnet Название: Tools of Total Quality ISBN: 9401053855 ISBN-13(EAN): 9789401053853 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: For a long time, quality has been one of industry`s main preoccupations. 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.
Автор: Dey, Kieron Название: Competitive Innovation and Improvement ISBN: 1482233436 ISBN-13(EAN): 9781482233438 Издательство: Taylor&Francis Рейтинг: Цена: 65320.00 T Наличие на складе: Нет в наличии.
Автор: Hans-Joachim Lenz; Peter-Th. Wilrich; Wolfgang Sch Название: Frontiers in Statistical Quality Control 9 ISBN: 3790823791 ISBN-13(EAN): 9783790823790 Издательство: Springer Рейтинг: Цена: 102480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The twenty-three papers in this volume are carefully selected, reviewed and revised for this volume, and are divided into two parts: Part 1: "On-line Control" with subchapters 1.1 "Control Charts" and 1.2 "Surveillance Sampling and Sampling Plans" and Part 2: "Off-line Control."
Название: Statistical Methods for Quality Assurance ISBN: 0387791051 ISBN-13(EAN): 9780387791050 Издательство: Springer Рейтинг: Цена: 69870.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Rajesh Jugulum Название: Robust Quality ISBN: 1498781659 ISBN-13(EAN): 9781498781657 Издательство: Taylor&Francis Рейтинг: Цена: 93910.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book will provide an integrated approach by combining data quality and process quality approaches for ensuring robust quality. When the two concepts are combined, industry can achieve rapid improvements with accurate results and decisions.
Автор: Jacek Fabian Название: Statistical Methods for Quality Improvement ISBN: 1681175703 ISBN-13(EAN): 9781681175706 Издательство: Gazelle Book Services Рейтинг: Цена: 217350.00 T Наличие на складе: Невозможна поставка. Описание: Quality Control is very important for everywhere. Quality control includes service quality given to customer, company management leadership, commitment of management, continuous improvement, fast response, actions based on facts, employee participation and a quality driven culture. The main objectives of the quality control module are to control of material reception, internal rejections, clients, claims, providers and evaluations of the same corrective actions are related to their follow-up. These systems and methods guide all quality activities. The development and use of performance indicators is linked, directly or indirectly, to customer requirements and satisfaction, and to management. Statistical quality control refers to the use of statistical methods in the monitoring and maintaining of the quality of products and services. Statistical methods for quality improvement deal numerous benefits for industry and business, both through identifying existing trouble spots and alerting management and technical personnel to potential problems. It provides 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.
Автор: Nadja Bauer; Katja Ickstadt; Karsten L?bke; Gero S Название: Applications in Statistical Computing ISBN: 3030251462 ISBN-13(EAN): 9783030251468 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This volume presents a selection of research papers on various topics at the interface of statistics and computer science. Emphasis is put on the practical applications of statistical methods in various disciplines, using machine learning and other computational methods. The book covers fields of research including the design of experiments, computational statistics, music data analysis, statistical process control, biometrics, industrial engineering, and econometrics. Gathering innovative, high-quality and scientifically relevant contributions, the volume was published in honor of Claus Weihs, Professor of Computational Statistics at TU Dortmund University, on the occasion of his 66th birthday.
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