Reliability Assessment and Optimization of Complex Systems - Brossura

Brossura

ISBN 10: 0443291128 ISBN 13: 9780443291128

Casa editrice: Elsevier, 2024

Riassunto

Reliability Assessment and Optimization of Complex Systems delves into a range of tools and techniques for designing optimized complex systems. Each chapter explores system modeling and the implementation of various metaheuristics for optimization purposes. This book provides readers in the domain of applied mathematics with a comprehensive understanding of system reliability analysis and improvement, thereby offering substantial value to their knowledge and expertise. System reliability has become the paramount attribute of any production unit. The process of maximizing system reliability while adhering to multiple constraints is referred to as reliability optimization.

There are two primary approaches to enhancing a system's performance and reliability: developing a product with reduced failures (failure avoidance) or incorporating resilience to ensure the system continues functioning even in the event of a failure (fault tolerance).

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Informazioni sugli autori

Akshay Kumar holds B.Sc. and M.Sc. degrees from Chaudhary Charan Singh University, Meerut, India (2010, 2012), and earned his Ph.D. majoring in Mathematics with a minor in Computer Science from G. B. Pant University of Agriculture and Technology, Pantnagar, India, in 2017. He serves as an Assistant Professor in Mathematics at Graphic Era Hill University, Dehradun, India, leveraging over 5 years of teaching experience. With a substantial reviewing role across 35+ international journals, including Elsevier, Springer, Emerald, MDPI, and more, he has authored 60+ research papers in reputable journals like Communications in Statistics, Emerald, Inderscience, and many others. He has also edited 2 books with international publishers like River Publisher and IGI Global Publisher. His research spans reliability theory, fuzzy reliability, signature reliability, and applied Mathematics.

Dr. Ashok Singh Bhandari holds BSc and MSc degrees in Science from Hemwati Nandan Bahuguna Garhwal University, Srinagar, India (2013, 2015), and a Ph.D. in Mathematics from Graphic Era (Deemed to be University), Dehradun, India (2022). Currently an Assistant Professor in the Mathematics Department at Graphic Era Hill University, Dehradun, he boasts over 6 years of teaching experience. With a track record as a regular Reviewer for 6+ international journals such as Emerald, MDPI, River Publisher, and IGI Global Publisher, he has authored 9+ research papers in distinguished journals like Emerald, Inderscience, IGI Global Publisher, Springer Nature, World Scientific, and Wiley. His contributions extend to presentations at esteemed national and international conferences, centering around reliability theory and optimization.

Prof. Mangey Ram is Professor at Graphic Era (Deemed to be University), Dehradun, India. 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.

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.

Dalla quarta di copertina

System reliability has become the paramount attribute of any production unit. The process of maximizing system reliability while adhering to multiple constraints is referred to as reliability optimization. There are two primary approaches to enhancing a system's performance and reliability: developing a product with reduced failures (failure avoidance) or incorporating resilience to ensure the system continues functioning even in the event of a failure (fault tolerance). Recognizing the significance of system design in reliability optimization, 'Reliability Assessment and Optimization of Complex Systems' delves into a range of tools and techniques for designing optimized complex systems. Each chapter explores system modeling and the implementation of various metaheuristics for optimization purposes. This book provides readers in the domain of applied mathematics with a comprehensive understanding of system reliability analysis and improvement, thereby offering substantial value to their knowledge and expertise.

Dettagli dell'edizione

• Editore: Elsevier
• Data di pubblicazione: 2024
• Lingua: Inglese
• ISBN 10: 0443291128
• ISBN 13: 9780443291128
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 488
• Redattore: Kumar
• Contatto del produttore: ELSEVIER; https://www.elsevier.com/es-es; ; Mooswaldallee 6; Freiburg; 79108; Germania