Fundamentals of Quality Control and Improvement, Amitava Mitra
Старое издание
Автор: Moen Ronald Название: Quality Improvement Through Planned Experimentation ISBN: 0071759662 ISBN-13(EAN): 9780071759663 Издательство: McGraw-Hill Рейтинг: Цена: 157860.00 T Наличие на складе: Поставка под заказ. Описание: The only book on experimental design for analytic studies available to engineers, manufacturing managers, and quality improvement and healthcare professionals is now updated to cover new software for today`s computing environment.
Автор: Chen Название: The big book of six sigma training games - proven ways to teach basic dmaic principles and quality improvement tools ISBN: 0071443851 ISBN-13(EAN): 9780071443852 Издательство: McGraw-Hill Рейтинг: Цена: 29730.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Provides an engaging way in which employees can learn Six Sigma and put its concepts into play. This book offers 50 experiential activities that teach the core improvement approach of Six Sigma, called DMAIC, as well as many of the popular statistical improvement tools, including Pareto charts and Failure Mode Effects Analysis.
Автор: Myers Raymond H. Название: Response Surface Methodology ISBN: 1118916018 ISBN-13(EAN): 9781118916018 Издательство: Wiley Рейтинг: Цена: 134060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Praise for the Third Edition: This new third edition has been substantially rewritten and updated with new topics and material, new examples and exercises, and to more fully illustrate modern applications of RSM.
Автор: Montgomery Название: Statistical Quality Control: A Modern Introduction, International Student Version, 6th Edition ISBN: 0470233974 ISBN-13(EAN): 9780470233979 Издательство: Wiley Рейтинг: 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.
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