Elementary Statistical Quality Control, Burr, John T.

Автор: Oakland
Название: Statistical Process Control
ISBN: 1138064254 ISBN-13(EAN): 9781138064256
Издательство: Taylor&Francis
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Цена: 178640.00 T
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Описание: Offering a complete instructional guide to SPC for professional quality managers and students alike, this book offers all the latest tools, techniques and philosophies behind process management and improvement.

Автор: Burr, John T.
Название: Elementary Statistical Quality Control
ISBN: 0367578123 ISBN-13(EAN): 9780367578121
Издательство: Taylor&Francis
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Цена: 50010.00 T
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Автор: Montgomery
Название: Statistical Quality Control: A Modern Introduction, International Student Version, 6th Edition
ISBN: 0470233974 ISBN-13(EAN): 9780470233979
Издательство: Wiley
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Цена: 50680.00 T
Наличие на складе: Поставка под заказ.
Описание: Covering everything from basic principles to state-of-the-art concepts and applications, this book arms readers with a comprehensive understanding of modern statistical methods for quality control and improvement. The authors cover basic and advanced methods of statistical process control (SPC), show how statistically designed experiments can be used for process design, development and improvement, and explore acceptance sampling. Throughout the pages, guidelines are provided for selecting the correct statistical technique to use in a variety of situations.

Автор: Lyonnet
Название: Tools of Total Quality
ISBN: 0412376903 ISBN-13(EAN): 9780412376900
Издательство: Springer
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Цена: 158380.00 T
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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: Hans-Joachim Lenz; G. Barry Wetherill; Peter-Theod
Название: Frontiers in Statistical Quality Control
ISBN: 3790806420 ISBN-13(EAN): 9783790806427
Издательство: Springer
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Цена: 81050.00 T
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Описание: This volume contains a selection of essays that stress methodology or the successful industrial application of statistical quality control. The contributors explore acceptance sampling, process quality control and aspects of experimental design.

Автор: Hans-Joachim Lenz; Peter-Theodor Wilrich
Название: Frontiers in Statistical Quality Control 5
ISBN: 3790809845 ISBN-13(EAN): 9783790809848
Издательство: Springer
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Цена: 153720.00 T
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Описание: Like the preceding volumes, and met with a lively response, the present volume is collecting contributions stressed on methodology or successful industrial applications. The papers are classified under four main headings: sampling inspection, process quality control, data analysis and process capability studies and finally experimental design.

Автор: Lyonnet
Название: Tools of Total Quality
ISBN: 9401053855 ISBN-13(EAN): 9789401053853
Издательство: Springer
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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: 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.

Автор: Oakland John
Название: Statistical Process Control
ISBN: 1138064262 ISBN-13(EAN): 9781138064263
Издательство: Taylor&Francis
Рейтинг:
Цена: 47970.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Offering a complete instructional guide to SPC for professional quality managers and students alike, this book offers all the latest tools, techniques and philosophies behind process management and improvement.

Автор: Allen Theodore T.
Название: Introduction to Engineering Statistics and Lean Six SIGMA: Statistical Quality Control and Design of Experiments and Systems
ISBN: 1447174194 ISBN-13(EAN): 9781447174196
Издательство: Springer
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Цена: 111790.00 T
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Описание: This book provides an accessible one-volume introduction to Lean Six Sigma and statistics in engineering for students and industry practitioners. Lean production has long been regarded as critical to business success in many industries. Over the last ten years, instruction in Six Sigma has been linked more and more with learning about the elements of lean production. Building on the success of the first and second editions, this book expands substantially on major topics of increasing relevance to organizations interested in Lean Six Sigma. Each chapter includes summaries and review examples plus problems with their solutions. As well as providing detailed definitions and case studies of all Six Sigma methods, the book uniquely describes the relationship between operations research techniques and Lean Six Sigma. Further, this new edition features more introductory material on probability and inference and information about Deming's philosophy, human factors engineering, and the motivating potential score – the material is tied more directly to the Certified Quality Engineer (CQE) exam. New sections that explore motivation and change management, which are critical subjects for achieving valuable results have also been added. The book examines in detail Design For Six Sigma (DFSS), which is critical for many organizations seeking to deliver desirable products. It covers reliability, maintenance, and product safety, to fully span the CQE body of knowledge. It also incorporates recently emerging formulations of DFSS from industry leaders and offers more introductory material on experiment design, and includes practical experiments that will help improve students’ intuition and retention. The emphasis on lean production, combined with recent methods relating to DFSS, makes this book a practical, up-to-date resource for advanced students, educators and practitioners.

Автор: Bagdonavicius, Vilijandas , Nikulin, Mikhail
Название: Accelerated Life Models
ISBN: 0367396637 ISBN-13(EAN): 9780367396633
Издательство: Taylor&Francis
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Цена: 65320.00 T
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Описание:

The authors of this monograph have developed a large and important class of survival analysis models that generalize most of the existing models. In a unified, systematic presentation, this monograph fully details those models and explores areas of accelerated life testing usually only touched upon in the literature.

Accelerated Life Models: Modeling and Statistical Analysis presents models, methods of data collection, and statistical analysis for failure-time regression data in accelerated life testing and for degradation data with explanatory variables. In addition to the classical results, the authors devote considerable attention to models with time-varying explanatory variables and to methods of semiparametric estimation. They also examine the simultaneous analysis of degradation and failure-time data when the intensities of failure in different modes depend on the level of degradation and the values of explanatory variables.

The authors avoid technical details by explaining the ideas and referring to resources where thorough analysis can be found. Whether used for teaching, research or general reference, Accelerated Life Models: Modeling and Statistical Analysis provides new and known models and modern methods of accelerated life data analysis.

Автор: Mittag, Hans-Joachim. , Rinne, Horst
Название: Statistical Methods of Quality Assurance
ISBN: 0367449900 ISBN-13(EAN): 9780367449902
Издательство: Taylor&Francis
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Цена: 63280.00 T
Наличие на складе: Невозможна поставка.
Описание: This book is based on a German correspondence study course "Statistical Methods in Quality Assurance" which was developed by the authors between 1987 and 1989 at the suggestion of Prof. Dr. Dr. Josef Gruber, chair of the department of Statistics and Econometrics.