Items related to Recent Advances in Reliability and Quality in Design
Synopsis
This book presents the latest theories and methods of reliability and quality, with emphasis on reliability and quality in design and modelling. Each chapter is written by active researchers and professionals with international reputations, providing material which bridges the gap between theory and practice to trigger new practices and research challenges. The book therefore provides a state-of-the-art survey of reliability and quality in design and practices.
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From the Back Cover
Recent Advances in Reliability and Quality in Design presents the latest theories and methods of reliability and quality, with emphasis on reliability and quality in design and modeling. Each chapter is written by active researchers and professionals with international reputations, providing material which bridges the gap between theory and practice to trigger new practices and research challenges.
Postgraduates, researchers, and practitioners in reliability engineering, maintenance engineering, quality engineering, operations research, industrial and systems engineering, mechanical engineering, computer engineering, management, and statistics will find this book a state-of-the-art survey of reliability and quality in design and practices.
Hoang Pham, FIEEE is a Professor in the Department of Industrial and Systems Engineering at Rutgers University in New Jersey, USA. His research interests include software reliability, system reliability modeling, maintenance, fault-tolerant computing, and biological systemability-risk assessment.
About the Author
Dr Hoang Pham is a professor in the Department of Industrial and Systems Engineering at Rutgers, The State University of New Jersey. Before joining Rutgers, he was a senior engineering specialist at the Boeing Company, Seattle, and the Idaho National Engineering Laboratory, Idaho Falls. His research interests include software reliability, system reliability modeling, maintenance, fault-tolerant computing, and biological systemability-risk assessment.
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