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Introduction to acceptance sampling and spc with r, Lawson, John (brigham Young University, Usa)


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Цена: 8114.00р.
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Автор: Lawson, John (brigham Young University, Usa)
Название:  Introduction to acceptance sampling and spc with r
ISBN: 9780367555764
Издательство: Taylor&Francis
Классификация:
ISBN-10: 036755576X
Обложка/Формат: Paperback
Страницы: 280
Вес: 0.45 кг.
Дата издания: 16.02.2021
Язык: English
Иллюстрации: 42 tables, black and white; 102 illustrations, black and white
Размер: 23.39 x 15.60 x 1.60 cm
Читательская аудитория: Tertiary education (us: college)
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Поставляется из: Европейский союз
Описание: This book is an introduction to statistical methods used in monitoring, controlling and improving quality. It is suitable for a one-semester undergraduate course emphasizing statistical quality control for engineering majors, or a supplemental text for a graduate engineering course that included quality control topics.


Matching supply with demand: an introduction to operations management, 4 ed.

Автор: Cachon, Gerard Terwiesch, Christian
Название: Matching supply with demand: an introduction to operations management, 4 ed.
ISBN: 1260084612 ISBN-13(EAN): 9781260084610
Издательство: McGraw-Hill
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Цена: 9779.00 р.
Наличие на складе: Поставка под заказ.

Statistics and Decisions

Автор: Kim, S. H.
Название: Statistics and Decisions
ISBN: 036745033X ISBN-13(EAN): 9780367450335
Издательство: Taylor&Francis
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Цена: 6736.00 р.
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Описание: This book provides the necessary prerequisites in probability and statistics as well as the key ideas in decision theory. It is helpful to students and practitioners who desire to apply decision-theoretic thinking to their own work.

Short-Run SPC for Manufacturing and Quality Professionals

Автор: Levinson, William A.
Название: Short-Run SPC for Manufacturing and Quality Professionals
ISBN: 1032249900 ISBN-13(EAN): 9781032249902
Издательство: Taylor&Francis
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Цена: 19906.00 р.
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Short-run spc for manufacturing and quality professionals

Автор: Levinson, William A.
Название: Short-run spc for manufacturing and quality professionals
ISBN: 1032249897 ISBN-13(EAN): 9781032249896
Издательство: Taylor&Francis
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Цена: 4898.00 р.
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Описание: Readers will be able to deploy practical and simple control charts for production runs for which no prior history is available and control the processes until enough data accumulate to enable the traditional methods (assuming it ever does).

Statistics in Research and Development

Автор: Caulcutt, R.
Название: Statistics in Research and Development
ISBN: 036745047X ISBN-13(EAN): 9780367450472
Издательство: Taylor&Francis
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Цена: 9798.00 р.
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Описание: This book covers experimental design and the more advanced techniques of data analysis which can be used to assess performance, to compare methods and to control quality. It is useful to anyone concerned with the development or the management of complex processes in any industry.

Six Sigma: SPC and TQM in Manufacturing and Services

Автор: Tennant, Geoff
Название: Six Sigma: SPC and TQM in Manufacturing and Services
ISBN: 0566083744 ISBN-13(EAN): 9780566083747
Издательство: Taylor&Francis
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Цена: 22202.00 р.
Наличие на складе: Поставка под заказ.

SPC Simplified

Автор: Amsden, Robert T
Название: SPC Simplified
ISBN: 0527763403 ISBN-13(EAN): 9780527763404
Издательство: Taylor&Francis
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Цена: 5205.00 р.
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Essential Statistical Concepts for the Quality Professional

Автор: Stamatis, D. H.
Название: Essential Statistical Concepts for the Quality Professional
ISBN: 0367381427 ISBN-13(EAN): 9780367381424
Издательство: Taylor&Francis
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Цена: 10104.00 р.
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Описание:

The essence of any root cause analysis in our modern quality thinking is to go beyond the actual problem. This means not only do we have to fix the problem at hand but we also have to identify why the failure occurred and what was the opportunity to apply the appropriate knowledge to avoid the problem in the future. Essential Statistical Concepts for the Quality Professional offers a new non-technical statistical approach to quality for effective improvement and productivity by focusing on very specific and fundamental methodologies and tools for the future.

Written by an expert with more than 30 years of experience in management, quality training, and consulting, the book examines the fundamentals of statistical understanding, and by doing so demonstrates the importance of using statistics in the decision making process. The author points out pitfalls to keep in mind when undertaking an experiment for improvement and explains how to use statistics in improvement endeavors. He discusses data interpretation, common tests and confidence intervals, and how to plan experiments for improvement. The book expands the notion of experimentation by dealing with mathematical models such as regression to optimize the improvement and understand the relationship between several factors. It emphasizes the need for sampling and introduces specific techniques to make sure accuracy and precision of the data is appropriate and applicable for the study at hand.

The author's approach is somewhat new and unique; however, he details tools and methodologies that can be used to evaluate the system for prevention. These tools and methodologies focus on structured, repeatable processes that can be instrumental in finding real, fixable causes of the human errors and equipment failures that lead to quality issues.

Statistics of Quality

Название: Statistics of Quality
ISBN: 0367401207 ISBN-13(EAN): 9780367401207
Издательство: Taylor&Francis
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Цена: 10104.00 р.
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Описание: Explains the role of statistics in improving the quality of collecting and analyzing information for a wide variety of applications. The book examines the function of statisticians in quality improvement. It discusses statistical process control, quality statistical tables, and quality and warranty; quality standards in medicine and public health;

Statistical Process Control in Industry

Автор: R.J. Does; C.B. Roes; A. Trip
Название: Statistical Process Control in Industry
ISBN: 9048151708 ISBN-13(EAN): 9789048151707
Издательство: Springer
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Цена: 19559.00 р.
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Описание: It will also appeal to specialists in engineering and management, for example in the electronic industry, discrete parts industry, process industry, automotive and aircraft industry and food industry.

Mathematical Models for Systems Reliability

Автор: Epstein, Benjamin , Weissman, Ishay
Название: Mathematical Models for Systems Reliability
ISBN: 0367387328 ISBN-13(EAN): 9780367387327
Издательство: Taylor&Francis
Рейтинг:
Цена: 9798.00 р.
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Описание:

Evolved from the lectures of a recognized pioneer in developing the theory of reliability, Mathematical Models for Systems Reliability provides a rigorous treatment of the required probability background for understanding reliability theory.

This classroom-tested text begins by discussing the Poisson process and its associated probability laws. It then uses a number of stochastic models to provide a framework for life length distributions and presents formal rules for computing the reliability of nonrepairable systems that possess commonly occurring structures. The next two chapters explore the stochastic behavior over time of one- and two-unit repairable systems. After covering general continuous-time Markov chains, pure birth and death processes, and transitions and rates diagrams, the authors consider first passage-time problems in the context of systems reliability. The final chapters show how certain techniques can be applied to a variety of reliability problems.

Illustrating the models and methods with a host of examples, this book offers a sound introduction to mathematical probabilistic models and lucidly explores how they are used in systems reliability problems.

Statistical Quality Control

Автор: Chandra, M. Jeya
Название: Statistical Quality Control
ISBN: 0367397250 ISBN-13(EAN): 9780367397258
Издательство: Taylor&Francis
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Цена: 10104.00 р.
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Описание:

It has recently become apparent that quality is quickly becoming the single most important factor for success and growth in business. Companies achieving higher quality in their products through effective quality improvement programs enjoy a significant competitive advantage. It is, therefore, essential for engineers responsible for design, development, and manufacture of products to understand the concepts and techniques of quality control. Statistical Quality Control imparts that understanding.

Covering the basic steps in quality assurance and control methodologies, this unique text not only sequences, but also integrates the various techniques presented. The chapters, which include Optimum Process Means and Process Setting, are arranged in logical order. This advanced treatment makes Statistical Quality Control an ideal graduate text as well as a reference for practitioners working in design and quality control.


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