Elsevier Safety and Reliability Modeling and Its Applications (Advances in Reliability Science)

Safety and Reliability Modeling and Its Applications combines work by leading researchers in engineering, statistics and mathematics who provide innovative methods and solutions for this fast-moving field. Safety and reliability analysis is one of the most multidimensional topics in engineering today. Its rapid development has created many opportunities and challenges for both industrialists and academics, while also completely changing the global design and systems engineering environment. As more modeling tasks can now be undertaken within a computer environment using simulation and virtual reality technologies, this book helps readers understand the number and variety of research studies focusing on this important topic. The book addresses these important recent developments, presenting new theoretical issues that were not previously presented in the literature, along with solutions to important practical problems and case studies that illustrate how to apply the methodology. Review Combines work by leading researchers in academia and industry on safety and reliability modeling for engineers, statisticians and mathematicians From the Back Cover Safety and Reliability Modeling and Its Applications combines work by leading researchers in academia and industry, in engineering, statistics, and mathematics to provide innovative methods and solutions for this fast-moving field. Safety and reliability analysis is one of the most multidimensional topics in systems reliability engineering nowadays. Its rapid development has created many opportunities and challenges for both industrialists and academics, and has completely changed the global design and systems engineering environment. More of the modelling tasks can now be undertaken within a computer environment using simulation and virtual reality technologies, leading to an increase in the number and variety of research studies focusing on safety and reliability engineering. This book addresses these important recent developments, presenting new theoretical issues that were not previously presented in the literature, as well as solutions to important practical problems and case studies illustrating how to apply the methodology. Drawing on world-leading research from interdisciplinary authors, this book will help readers with a range of backgrounds to engage with this important topic, and find the solutions they need for their work. About the Author Mangey Ram has taught several courses in pure and applied mathematics at undergraduate, postgraduate, and doctorate levels at Graphic Era (Deemed to be University), Dehradun, India, where he is currently a Research Professor. He is Editor-in-Chief of the International Journal of Mathematical, Engineering and Management Sciences, as well as Executive Associate Editor of the Journal of Reliability and Statistical Studies. Prof. Ram has published 77 research papers and presented his works at national and international conferences. His research interests are in reliability theory and applied mathematics. Dr. Hoang Pham is a Distinguished Professor and former Chairman (2007-2013) of the Department of Industrial and Systems Engineering at Rutgers University, New Jersey. Before joining Rutgers, he was a Senior Engineering Specialist with the Idaho National Engineering Laboratory and Boeing Company. He received his Ph.D. in Industrial Engineering from the State University of New York at Buffalo. His research areas include reliability modeling of systems with competing risks and random environments, software reliability, and statistical inference. He is the editor-in-chief of the International Journal of Reliability, Quality and Safety Engineering and an associate editor and editorial board member of several journals, and the editor of Springer Series in Reliability Engineering. His numerous awards include the 2009 IEEE Reliability Society Engineer of the Year Award. Dr. Pham is the