000			03122nam a2200277Ia 4500
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020			_a9780470590744
040			_aCSL _beng _cCSL
041			_aeng
084			_aB280bX:89Q8 Q1;1 _qCSL
100			_aRyan, Thomas P. _eauthor. _9815859
245		0	_aStatistical Methods for Quality Improvement
250			_a3rd ed.
260			_aNew Jersey : _bJohn Wiley, _c2011.
300			_axxiv, 666p.
490			_aWiley Series in Probabilityand Ptatistics
500			_aIncludeS bibliographical references and Index 645-666p.
520			_ause of quantitative methods offers numerous benefits in the fields of industry and business, both through identifying existing trouble spots and alerting management and technical personnel to potential problems. Statistical Methods for Quality Improvement, Third Edition guides readers through a broad range of tools and techniques that make it possible to quickly identify and resolve both current and potential trouble spots within almost any manufacturing or nonmanufacturing process. The book provides detailed coverage of the application of control charts, while also exploring critical topics such as regression, design of experiments, and Taguchi methods.In this new edition, the author continues to explain how to combine the many statistical methods explored in the book in order to optimize quality control and improvement. The book has been thoroughly revised and updated to reflect the latest research and practices in statistical methods and quality control, and new features include:Updated coverage of control charts, with newly added tools The latest research on the monitoring of linear profiles and other types of profiles Sections on generalized likelihood ratio charts and the effects of parameter estimation on the properties of CUSUM and EWMA procedures New discussions on design of experiments that include conditional effects and fraction of design space plots New material on Lean Six Sigma and Six Sigma programs and training Incorporating the latest software applications, the author has added coverage on how to use Minitab software to obtain probability limits for attribute charts. new exercises have been added throughout the book, allowing readers to put the latest statistical methods into practice. Updated references are also provided, shedding light on the current literature and providing resources for further study of the topic.Statistical Methods for Quality Improvement, Third Edition is an excellent book for courses on 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.
650			_aQuality improvement. _9815860
650			_aStatistical methods. _9409070
650			_aStatistics.
942			_hB280bX:89Q8 Q1;1 _cTEXL _2CC _n0
999			_c13305 _d13305