001453732 000__ 05326cam\a2200493\i\4500
001453732 001__ 1453732
001453732 003__ OCoLC
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001453732 008__ 230113s2023\\\\sz\a\\\\ob\\\\000\0\eng\d
001453732 020__ $$a9783031166556$$q(electronic bk.)
001453732 020__ $$a3031166558$$q(electronic bk.)
001453732 020__ $$z9783031166549
001453732 020__ $$z303116654X
001453732 0247_ $$a10.1007/978-3-031-16655-6$$2doi
001453732 035__ $$aSP(OCoLC)1356890999
001453732 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dN$T
001453732 049__ $$aISEA
001453732 050_4 $$aTS176
001453732 08204 $$a658.5/15$$223/eng/20230119
001453732 1001_ $$aKlyatis, Lev M.,$$eauthor.
001453732 24510 $$aPrediction technologies for improving engineering product efficiency /$$cLev M. Klyatis.
001453732 264_1 $$aSingapore :$$bSpringer,$$c[2023]
001453732 264_4 $$c©2023
001453732 300__ $$a1 online resource (xxii, 265 pages) :$$billustrations
001453732 336__ $$atext$$btxt$$2rdacontent
001453732 337__ $$acomputer$$bc$$2rdamedia
001453732 338__ $$aonline resource$$bcr$$2rdacarrier
001453732 504__ $$aIncludes bibliographical references.
001453732 5050_ $$achapter 1. How was began development of new engineering direction Successful Prediction of Engineering Product Efficiency -- chapter 2. Analysis of Current Situation with Prediction of New Product Reliability and Efficiency -- chapter 3. Technology of successful prediction of new product efficiency (quality, reliability, durability, maintainability, safety, life-cycle cost, profit, and other components) -- chapter 4. Accelerated reliability and durability testing technology as second key factor for successful prediction of product efficiency. -- chapter 5. Negative trends in the development of simulation, testing, and prediction in engineering -- chapter 6. Implementation of successful prediction of product efficiency and accelerated reliability and durability testing.
001453732 506__ $$aAccess limited to authorized users.
001453732 520__ $$aThis book is aimed at readers who need to learn the latest solutions for about interconnected simulation, testing, and prediction technologies that improve engineering product efficiency, including reliability, safety, quality, durability, maintainability, life-cycle costing and profit. It provides a detailed analysis of technologies now being used in industries such as electronics, automotive, aircraft, aerospace, off-highway, farm machinery, and others. It includes clear examples, charts, and illustrations. The book will provide analyses of the simulation, testing, and prediction approaches and methodologies with descriptive negative trends in their development. The author discusses why many current methods of simulation, testing, and prediction are not successful and describes novel techniques and tools developed for eliminating these problems. This book is a tool for engineers, managers, researches in industry, teachers, and students. Enables efficiency prediction during research, design and manufacturing for any engineering products life cycle; Includes methods for simulation prediction of reliability, durability, safety, maintainability, life-cycle cost and profit; Discusses why current simulation and testing are not successful and describes effective techniques and tools developed for obtaining accurate prediction for improving engineering product efficiency. Lev Klyatis, Hab. Dr.-Ing., ScD., PhD, Senior Advisor SoHaR, Inc., has been a professor at Moscow State Agricultural Engineering University, research leader and chairman of State Enterprise TESTMASH, and served on the US Technical Advisory Group for the International Electrotechnical Commission (IEC), the ISO/IEC Join Study Group in Safety Aspects of Risk Assessment, the United Nations European Economical Commission, and US-USSR Trade and Economic Council. He is presently a member of World Quality Council, the Elmer A. Sperry Board of Award, SAE International G-41 Reliability Committee, the Integrated Design and Manufacturing Committee and session chairman of SAE International World Congresses in Detroit since 2012. His vast experience and innovation enable him to create a new direction for the successful prediction of product efficiency during any given time, including accurate simulation of real-world conditions, accelerated reliability and durability testing technology, and reducing recalls. His approach has been verified in various industries, primarily automotive, farm machinery, aerospace, and aircraft industries. He has shared his new direction working as the seminar instructor and consultant to Ford, DaimlerChrysler, Nissan, Toyota, Jatko Ltd., Thermo King, Black an Dekker, NASA Research Centers, Karl Schenck, and many others. He holds over 30 patents worldwide and is the author of over 300 publications, including 15 books.
001453732 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed January 19, 2023).
001453732 650_0 $$aProduction engineering$$xTechnological innovations.
001453732 650_0 $$aIndustrial efficiency.
001453732 655_0 $$aElectronic books.
001453732 77608 $$iPrint version:$$z303116654X$$z9783031166549$$w(OCoLC)1340403879
001453732 852__ $$bebk
001453732 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-16655-6$$zOnline Access$$91397441.1
001453732 909CO $$ooai:library.usi.edu:1453732$$pGLOBAL_SET
001453732 980__ $$aBIB
001453732 980__ $$aEBOOK
001453732 982__ $$aEbook
001453732 983__ $$aOnline
001453732 994__ $$a92$$bISE