Reliability Modeling in Industry 4.0 (Advances in Reliability Science)
Language: English
Published by Elsevier, 2023
- Softcover
- New

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In English.
Seller Inventory # ria9780323992046_new
- Title
- Reliability Modeling in Industry 4.0 (Advances in Reliability Science)
- Publisher
- Elsevier
- Publication year
- 2023
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0323992048
- ISBN 13
- 9780323992046
- Item weight
- 1,018 grams
- Provides innovative reliability modeling tools related to the application of Industry 4.0 technologies
- Includes case studies from industries such as rail, energy, and computer systems
- Describes techniques for the successful digital transformation of industries for sophisticated reliability systems
"Synopsis" may belong to another edition of this title.
About the Author
He is Editor-in-Chief of the International Journal of Mathematical, Engineering, and Management Sciences; Journal of Reliability and Statistical Studies; Journal of Graphic Era University; Series Editor of six book series with Elsevier, CRC Press-A Taylor and Frances Group, Walter De Gruyter Publisher Germany, River Publisher and Guest Editor and Associate Editor for various journals.
His fields of research are reliability theory and applied mathematics.
Prof. Ram is a Senior Member of the IEEE, Senior Life Member of the Operational Research Society of India, the Society for Reliability Engineering, Quality and Operations Management in India, the Indian Society of Industrial and Applied Mathematics. He is a member of the organizing committee of several international and national conferences, seminars, and workshops. He was conferred the “Young Scientist Award by the Uttarakhand State Council for Science and Technology, Dehradun, in 2009, and given the “Best Faculty Award in 2011; “Research Excellence Award in 2015; and “Outstanding Researcher Award in 2018 for his significant contributions in academics and research at Graphic Era (deemed to be University), Dehradun, India. Most recently, he received the "Excellence in Research of the Year-2021 Award from the Honourable Chief Minister of the Uttarakhand State, India.
Liudong Xing is currently a professor at the Department of Electrical and Computer Engineering, University of Massachusetts, Dartmouth, United States. Her research interests include reliability and resilience modeling, analysis, and optimization of complex systems and networks (e.g., IoT and wireless sensor networks). Prof. Xing has received multiple teaching and scholar awards and was corecipient of the Best (Student) Paper Award at several international conferences and journals. She has published over 290 journal articles, and 2 books titled Binary Decision Diagrams and Extensions for System Reliability Analysis and Dynamic System Reliability: Modeling and Analysis of Dynamic and Dependent Behaviors. She has served as an associate editor or editorial board member of multiple journals, including Reliability Engineering & System Safety, IEEE Internet of Things Journal, IEEE Access, and International Journal of Mathematical, Engineering and Management Sciences. She is a fellow of the International Society of Engineering Asset Management and a senior member of IEEE.
"About the title" may belong to another edition of this title.
Ria Christie Collections
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