Overview
- A detailed introduction to selective maintenance
- Focusses on mathematical formulation and optimization techniques
- A key text for undergraduate and graduate students in reliability and maintenance
Part of the book series: Springer Series in Reliability Engineering (RELIABILITY)
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Table of contents (9 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Authors and Affiliations
About the authors
Dr. Yu Liu is a Full Professor of Industrial Engineering with the School of Mechanical and Electrical Engineering at the University of Electronic Science and Technology of China. He received his Ph.D. degree in Mechatronics Engineering from the University of Electronic Science and Technology of China. He was a Visiting Pre-doctoral Fellow in the Department of Mechanical Engineering at Northwestern University, USA, from 2008 to 2010, and a Postdoctoral Research Fellow in the Department of Mechanical Engineering at the University of Alberta, Canada, from 2012 to 2013. He has published over 70 peer-reviewed papers in international journals. His research interests include system reliability modelling and analysis, maintenance optimization, prognostics and health management, and design under uncertainty. Prof. Liu has been recognized as one of the Most Cited Chinese Researchers by Elsevier since 2016. He was a recipient of the National Science Fund for Excellent Young Scholars. He has served as the Vice President of the Reliability Committee of Operations Research Society of China since 2022. He is an ISEAM Fellow and an Associate Editor of IISE Transactions and IEEE Transactions on Reliability.
Dr. Hong-Zhong Huang is a Full Professor of Mechanical Engineering with the School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, China. He is also Director of the Center for System Reliability and Safety, at the University of Electronic Science and Technology of China. He has held visiting appointments at several universities in the USA, Canada, and Asia. He has authored or co-authored more than 350 journal papers and eight books in the fields of reliability engineering, optimization design, fuzzy sets theory, and product development. Prof. Huang is an ISEAM Fellow, Technical Committee Member of ESRA, Co-Editor-in-Chief for the International Journal of Reliability and Applications, and Editorial Board Member of several international journals. Prof. Huang has been recognized as one of the Most Cited Chinese Researchers by Elsevier since 2014.
Dr. Tao Jiang received his Ph.D. degree in Mechanical Engineering from the University of Electronic Science and Technology of China, Chengdu, China in 2022. He was a Research Assistant in the Department of Systems Engineering and Engineering Management at the City University of Hong Kong in 2016 and a Visiting Pre-doctoral Fellow in the Department of Industrial Systems Engineering and Management at National University of Singapore from 2019 to 2021. He has published over 20 papers in international journals, conferences, and edited books. His research interests include system reliability evaluation and maintenance optimization.
Bibliographic Information
Book Title: Selective Maintenance Modelling and Optimization
Book Subtitle: Basic Methods and Some Recent Advances
Authors: Yu Liu, Hong-Zhong Huang, Tao Jiang
Series Title: Springer Series in Reliability Engineering
DOI: https://doi.org/10.1007/978-3-031-17323-3
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-031-17322-6Published: 21 January 2023
Softcover ISBN: 978-3-031-17325-7Published: 21 January 2024
eBook ISBN: 978-3-031-17323-3Published: 20 January 2023
Series ISSN: 1614-7839
Series E-ISSN: 2196-999X
Edition Number: 1
Number of Pages: XII, 192
Number of Illustrations: 2 b/w illustrations, 46 illustrations in colour
Topics: Industrial Design, Optimization, Probability Theory and Stochastic Processes