000			03517nam a22002537a 4500
005			20241215122909.0
008			241215b |||||||| |||| 00| 0 eng d
020			_a9781138054004
082			_a658.8 _bDOG
100			_aDoganaksoy, Necip _917981
245			_aAchieving product reliability: _ba key to business success
260			_bCRC Press _aBoca Raton _c2021
300			_axxiii, 223 p.
365			_aGBP _b32.99
490			_aASA-CRC Series on Statistical Reasoning in Science and Society
500			_aTable of content: Preface, xv Acknowledgments, xxi Author Biographies, xxiii Chapter 1 ▪ Reliability and the Role of Statistics: An Introduction 1 Chapter 2 ▪ System Reliability Evaluation of a Conceptual Design 27 Chapter 3 ▪ Product Reliability Development 51 Chapter 4 ▪ Reliability Validation 87 Chapter 5 ▪ Reliability Assurance in Manufacturing 111 Chapter 6 ▪ Field Reliability Tracking 143 Chapter 7 ▪ A Peek into the Future 173 Chapter 8 ▪ Statistical Concepts and Tools for Product Lifetime Data Analysis 191 MAJOR TAKEAWAYS 214 REFERENCES AND ADDITIONAL RESOURCES 215 INDEX, 217 [https://www.routledge.com/Achieving-Product-Reliability-A-Key-to-Business-Success/Doganaksoy-Meeker-Hahn/p/book/9781138054004?srsltid=AfmBOoqzvG5ssHl4xdNGA93JcZ0ZnS3iTHDXMHsBmXfSIuyC2xKU0rrI]
520			_aAre you buying a car or smartphone or dishwasher? We bet long-term, trouble-free operation (i.e., high reliability) is among the top three things you look for. Reliability problems can lead to everything from minor inconveniences to human disasters. Ensuring high reliability in designing and building manufactured products is principally an engineering challenge–but statistics plays a key role. Achieving Product Reliability explains in a non-technical manner how statistics is used in modern product reliability assurance. Features: Describes applications of statistics in reliability assurance in design, development, validation, manufacturing, and field tracking. Uses real-life examples to illustrate key statistical concepts such as the Weibull and lognormal distributions, hazard rate, and censored data. Demonstrates the use of graphical tools in such areas as accelerated testing, degradation data modeling, and repairable systems data analysis. Presents opportunities for profitably applying statistics in the era of Big Data and Industrial Internet of Things (IIoT) utilizing, for example, the instantaneous transmission of large quantities of field data. Whether you are an intellectually curious citizen, student, manager, budding reliability professional, or academician seeking practical applications, Achieving Product Reliability is a great starting point for a big-picture view of statistics in reliability assurance. The authors are world-renowned experts on this topic with extensive experience as company-wide statistical resources for a global conglomerate, consultants to business and government, and researchers of statistical methods for reliability applications (https://www.routledge.com/Achieving-Product-Reliability-A-Key-to-Business-Success/Doganaksoy-Meeker-Hahn/p/book/9781138054004?srsltid=AfmBOoqzvG5ssHl4xdNGA93JcZ0ZnS3iTHDXMHsBmXfSIuyC2xKU0rrI)
650			_aProduct management
650			_aTechnology--Quality control _919632
650			_aQuality control--Statistical methods _92800
700			_aMeeker, William Q _919633
700			_aHahn, Gerald J _919634
942			_cBK _2ddc
999			_c7425 _d7425