Selective Maintenance Modelling and Optimization (eBook, PDF)
Basic Methods and Some Recent Advances
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Selective Maintenance Modelling and Optimization (eBook, PDF)
Basic Methods and Some Recent Advances
- Format: PDF
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This book is a detailed introduction to selective maintenance and updates readers on recent advances in this field, emphasizing mathematical formulation and optimization techniques. The book is useful for reliability engineers and managers engaged in the practice of reliability engineering and maintenance management. It also provides references that will lead to further studies at the end of each chapter. This book is a reference for researchers in reliability and maintenance and can be used as an advanced text for students.
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- Größe: 4.8MB
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- Produktdetails
- Verlag: Springer Nature Switzerland
- Seitenzahl: 192
- Erscheinungstermin: 20. Januar 2023
- Englisch
- ISBN-13: 9783031173233
- Artikelnr.: 67320362
- Verlag: Springer Nature Switzerland
- Seitenzahl: 192
- Erscheinungstermin: 20. Januar 2023
- Englisch
- ISBN-13: 9783031173233
- Artikelnr.: 67320362
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
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.