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9781849965804

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From the reviews: The study of various maintenance policies and models in order to prevent the occurrence of system failure, and reduce maintenance costs is an important area in reliability engineering. ... The book may be considered as a state-of-the-art survey of reliability and maintenance theory and models. As such, it is well addressed to postgraduate students, researchers and practitioners in reliability and maintenance engineering, operations research, industrial and mechanical engineering, logistics management and statistics. (Vangelis Grigoroudis, Zentralblatt MATH, Vol. 1128 (6), 2008) Recently, some very good books on the subject of optimal maintenance policies and models have been available in the literature. This is one of them... Since the most practical method of system reliability or availability assessment is Monte Carlo simulation when other analytical methods become unwieldy or cumbersome to use, the authors have devoted some 20 pages to cover this aspect along with variance reduction techniques, which are inevitable in any simulation approach. There are very few books on reliability that attempt to discuss this in sufficient detail...Another indispensable part of this book is 32 pages list of references included by the authors which provides a reader an indication of how several new developments have taken place in this area over a period of about four decades. The reviewer feels, this book will prove to be a good help to a graduate student or a researcher who intends to know the state-of-the-art in the area of optimal maintenance models and policies. (Krisnha B. Misra, International Journal of Performability Engineering, Vol. 4, (3), 2008)

From the reviews: The study of various maintenance policies and models in order to prevent the occurrence of system failure, and reduce maintenance costs is an important area in reliability engineering. ! The book may be considered as a state-of-the-art survey of reliability and maintenance theory and models. As such, it is well addressed to postgraduate students, researchers and practitioners in reliability and maintenance engineering, operations research, industrial and mechanical engineering, logistics management and statistics. (Vangelis Grigoroudis, Zentralblatt MATH, Vol. 1128 (6), 2008) Recently, some very good books on the subject of optimal maintenance policies and models have been available in the literature. This is one of them... Since the most practical method of system reliability or availability assessment is Monte Carlo simulation when other analytical methods become unwieldy or cumbersome to use, the authors have devoted some 20 pages to cover this aspect along with variance reduction techniques, which are inevitable in any simulation approach. There are very few books on reliability that attempt to discuss this in sufficient detail...Another indispensable part of this book is 32 pages list of references included by the authors which provides a reader an indication of how several new developments have taken place in this area over a period of about four decades. The reviewer feels, this book will prove to be a good help to a graduate student or a researcher who intends to know the state-of-the-art in the area of optimal maintenance models and policies. (Krisnha B. Misra, International Journal of Performability Engineering, Vol. 4, (3), 2008)

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Dr. Hongzhou Wang works for Lucent Technologies, Whippany, New Jersey, and has led many reliability programs/projects. He has been a reliability and maintenance researcher for about 20 years and authored 30 papers mainly on reliability, maintenance, software reliability, safety system design and simulation. Dr. Wang has served as session chair or program committee member of several international conferences and on the Editorial Board of the International Journal of Reliability, Quality and Safety Engineering, and International Journal of Systems Science. He is listed in Who's Who in Science and Engineering. Dr. Wang received his Ph.D. in industrial engineering and his MS in statistics both from Rutgers University, New Jersey in 1997. Before joining Rutgers he worked as Postdoctoral Fellow with the Division of Applied Statistics, Institute of Systems Science, Chinese Academy of Sciences after he had completed his Ph.D. studies in electromechanical engineering at the Beijing Institute of Technology in 1991. Dr. Wang also received his MS in electromechanical engineering in 1986, and the BS in mechanical engineering in 1983. Dr. Hoang Pham is a Professor in the Department of Industrial and Systems Engineering at Rutgers University, 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, and environmental risk assessment. Dr. Pham is the author of Software Reliability (Springer-Verlag, 2000) and a forthcoming book System Software Reliability (Springer, 2006). He is the editor of the Handbook of Reliability Engineering (Springer-Verlag, 2003) and Springer Handbook of Engineering Statistics (Springer, 2005). He is also the editor of Springer Series in Reliability Engineering. He has published more than 80 journal articles, 20 book chapters, and has been the editor of ten volumes. Dr. Pham is editor-in-chief of the International Journal of Reliability, Quality and Safety Engineering, associate editor of the IEEE Trans. on Systems, Man and Cybernetics (Part A), and guest editor of IIE Transactions and IEEE Trans. on Systems, Man and Cybernetics (Part A). He has been conference chair and program chair of over 20 international conferences and workshops and is currently the Conference Chair of the Eleventh International Conference on Reliability and Quality in Design will be held in St. Louis , August 2005. He is a fellow of the IEEE. Dr. Pham received his B.S. degrees (with honors) in mathematics and in computer science from Northeastern Illinois University, Chicago. He received his M.S. degree in statistics from the University of Illinois at Urbana-Champaign, and his M.S. and Ph.D. degrees in industrial engineering from the State University of New York at Buffalo.

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