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Statistical Case Studies for Industrial Process Improvement, Veronica Czitrom, Patrick D. Spagon


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Цена: 81930.00T
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Автор: Veronica Czitrom, Patrick D. Spagon
Название:  Statistical Case Studies for Industrial Process Improvement
ISBN: 9780898713947
Издательство: Mare Nostrum (Eurospan)
Классификация:



ISBN-10: 0898713943
Обложка/Формат: Paperback
Страницы: 541
Вес: 0.62 кг.
Дата издания: 1997-07-31
Серия: Asa-siam series on statistics & applied probability
Язык: English
Иллюстрации: Glossary, index
Размер: 229 x 152 x 20
Читательская аудитория: Professional and scholarly
Основная тема: Probability & statistics,Applied mathematics
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Поставляется из: Англии
Описание: Contains a broad selection of case studies written by professionals in the semiconductor industry that illustrate the use of statistical methods to improve manufacturing processes. These case studies offer engineers, scientists, technicians, and managers numerous examples of best-in-class practices by their peers.

Advances in Statistical Methods for Genetic Improvement of Livestock

Автор: Daniel Gianola; Keith Hammond
Название: Advances in Statistical Methods for Genetic Improvement of Livestock
ISBN: 3642744893 ISBN-13(EAN): 9783642744891
Издательство: Springer
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Цена: 121110.00 T
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Описание: Developments in statistics and computing as well as their application to genetic improvement of livestock gained momentum over the last 20 years. It will also serve as a text in graduate courses in animal breeding methodology with prerequisite courses in linear models, statistical inference and quantitative genetics.

Statistical Quality Control - Stategies and Tools for Continual Improvement

Автор: Ledolter
Название: Statistical Quality Control - Stategies and Tools for Continual Improvement
ISBN: 0471183784 ISBN-13(EAN): 9780471183785
Издательство: Wiley
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Цена: 240710.00 T
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Описание: This text provides the reader with a general and widely-applicable problem solving strategy for use in quality improvement. It covers a variety of statistical and "non-statistical" problem-solving tools, and discusses techniques that are useful when problems are solved by groups or teams of people.

Statistical Case Studies: A Collaboration Between Academe and Industry, Student Edition

Автор: Roxy Peck, Larry D. Haugh, Arnold Goodman
Название: Statistical Case Studies: A Collaboration Between Academe and Industry, Student Edition
ISBN: 0898714214 ISBN-13(EAN): 9780898714210
Издательство: Mare Nostrum (Eurospan)
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Цена: 47650.00 T
Наличие на складе: Невозможна поставка.
Описание: This book contains 20 case studies that use actual data sets that have not been simplified for classroom use.

Statistical Case Studies: A Collaboration Between Academe and Industry, Teacher Edition

Автор: Roxy Peck, Larry D. Haugh, Arnold Goodman
Название: Statistical Case Studies: A Collaboration Between Academe and Industry, Teacher Edition
ISBN: 0898714133 ISBN-13(EAN): 9780898714135
Издательство: Mare Nostrum (Eurospan)
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Цена: 74410.00 T
Наличие на складе: Невозможна поставка.
Описание: This book contains 20 case studies that use actual data sets that have not been simplified for classroom use.

Statistical decision problems: selected concepts and portfolio safeguard case studies

Автор: Zabarankin, Michael Urias`ev, S. P.
Название: Statistical decision problems: selected concepts and portfolio safeguard case studies
ISBN: 1461484707 ISBN-13(EAN): 9781461484707
Издательство: Springer
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Цена: 88500.00 T
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Описание: Statistical Decision Problems

Fundamentals of Quality Control and Improvement

Автор: Amitava Mitra
Название: Fundamentals of Quality Control and Improvement
ISBN: 1118705149 ISBN-13(EAN): 9781118705148
Издательство: Wiley
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Цена: 134060.00 T
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Описание: 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. Amitava Mitra, PhD, is Professor in the Department of Systems and Technology and former associate dean in the College of Business at Auburn University, Alabama. He has published over seventy journal articles and currently teaches in the areas of quality assurance and improvement. Dr. Mitra has over thirty years of academic and professional experience, and has conducted courses for professionals in total quality management, quality assurance and statistical process control, design of experiments, and Six Sigma Black Belt training.

Basics of Process Improvement

Автор: Boutros Tristan
Название: Basics of Process Improvement
ISBN: 1498719880 ISBN-13(EAN): 9781498719889
Издательство: Taylor&Francis
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Цена: 23470.00 T
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Описание:

Unlike other books that promote a specific process and performance improvement discipline, this book shows organizations how to achieve success by fixing basic operational issues and problems using a broad and wide-sweeping process-based toolkit. In addition, it helps individuals who have worked in stale- or siloed-thinking enterprises make the transition to a process or improvement-oriented culture and teaches those who are unfamiliar with process tools to look at their work with a new lens and adopt a continuous improvement and analytical-thinking mindset.

The authors have successfully used the various methods, tools, and concepts found in this book to overcome practical, daily problems at various organizations. This book will surely help operators, managers, practitioners, and executives, who are charged with improving processes and workplace culture, produce better products and services.

Process Improvement Handbook: A Blueprint for Managing Chang

Автор: Boutros Tristan
Название: Process Improvement Handbook: A Blueprint for Managing Chang
ISBN: 0071817662 ISBN-13(EAN): 9780071817660
Издательство: McGraw-Hill
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Цена: 110950.00 T
Наличие на складе: Поставка под заказ.
Описание: This complete body of knowledge for process improvement professionals provides an easy-to-understand foundation for process maturity capability in any company.

Introduction to Statistical Process Control

Автор: Qiu
Название: Introduction to Statistical Process Control
ISBN: 1439847991 ISBN-13(EAN): 9781439847992
Издательство: Taylor&Francis
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Цена: 117390.00 T
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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.


Process Improvement and Quality Management in the Retail Industry

Автор: George
Название: Process Improvement and Quality Management in the Retail Industry
ISBN: 0471723231 ISBN-13(EAN): 9780471723233
Издательство: Wiley
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Цена: 149900.00 T
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Описание: The authors of Process Improvement and Quality Management in the Retail Industry discuss quality management through the examination of several companies that won the esteemed Malcolm Baldrige National Quality Award.


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