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Reliability analysis and maintenance optimization of complex systems
Hardback
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- Book Synopsis
- This book is a comprehensive guide to methodologies for analyzing reliability and optimizing maintenance in complex systems, spanning from initial design to operational stages. The book comprises 20 chapters, each addressing different research topics in the reliability and maintenance of complex systems. These chapters are authored by esteemed professors and researchers in the field of reliability engineering, and they are organized as follows: System Reliability Modeling (8 chapters), Optimal Maintenance Models (4 chapters), System Performance and Availability Analysis (3 chapters), and Reliability Testing and Accelerated Life Tests (2 chapters). The remaining chapters focus on reliability testing and life data analysis. The book offers an in-depth exploration of various techniques, algorithms, and practical industry applications, making it an invaluable resource for researchers engaged in system reliability analysis and maintenance optimization, as well as for practical engineers and industrial managers. This book will be useful to students, researchers, and engineers in understanding the latest research issues and techniques in reliability and maintenance engineering.
- About The Author
- Qian Qian Zhao is Assistant Professor with Department of Industrial Engineering in the College of Management at Zhengzhou University, China. She received her Ph.D. degree from Pusan Nation University, South Korea, in 2020. Her research interests include reliability and maintenance theory, simulation, algorithm, and their applications in industrial systems. She has published more than ten peer-reviewed papers in international journals and conferences, including in Reliability Engineering & System Safety, Journal of Communications in Statistics-Theory and Methods, Expert Systems with Applications, and so on. Il Han Chung is full Professor at Department of Integrative Safety Engineering, Ulsan College. After working at Hyundai Rotem, POSCO, and Defense Agency for Technology and Quality, he has been Professor at the Department of Integrative Safety Engineering at Ulsan College since 2014. He has participated in various projects and studies related to RAM analysis and repair part allocation optimization of weapon system. His research interests are quality engineering, reliability engineering, repair parts/logistics optimization, and simulation. Junjun Zheng is Assistant Professor at the Department of Information Systems Engineering, Graduate School of Information Science and Technology, Osaka University, Japan. His research interests include software reliability, performance evaluation, and dependable computing. He is Co-author of over 60 journal and conference publications, including IEEE TR, RESS, Stoch. Models, SQJ, QE, and so on. He serves for DCCS 2022, DCCS 2023, DeIS 2023, and GCCCE English Paper Track as PC Co-chairs. He is Editorial Board Member of International Journal of Reliability and Safety (IJRS, 2021) and Guest Editor of Software Quality Journal (SQJ, 2023). He holds memberships in several professional organizations, including the Operations Research Society of Japan (ORSJ), the Reliability Engineering Association of Japan (REAJ), the Institute of Electrical, Information and Communication Engineers (IEICE), and the Institute of Electrical and Electronics Engineers (IEEE). Jongwoon Kim is CEO of Nemosys Company. He received his Ph.D. from the Department of Industrial Engineering at Pusan National University. After working at Hyundai Rotem and Korea Railroad Research Institute, he founded Nemosys in 2016 and has been serving as CEO ever since. His research interests are safety, reliability, and PHM. He is Board Member of the Korean Reliability Society and the Reliability Division of the Korean Society of Mechanical Engineers.
- Product Details
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- ISBN
- 9783031702877
- Format
- Hardback
- Publisher
- Springer, (17 January 2025)
- Number of Pages
- 375
- Language
- English
- Dimensions
- 235 x 155 mm
- Series:
- See all books in this series
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