Reliability Management and Engineering -

Reliability Management and Engineering

Challenges and Future Trends. 1. Auflage. 71 schwarz-weiße Abbildungen, 3 schwarz-weiße Fotos, 68 schwarz-weiße Zeichnungen, 65 schwarz-weiße Tabellen. Sprachen: Englisch
eBook (pdf), 300 Seiten
EAN 9781000067682
Veröffentlicht Juni 2020
Verlag/Hersteller Taylor & Francis eBooks

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Beschreibung

Reliability technology plays an important role in the present era of industrial growth, optimal efficiency, and reducing hazards. This book provides insights into current advances and developments in reliability engineering, and the research presented is spread across all branches. It discusses interdisciplinary solutions to complex problems using different approaches to save money, time, and manpower. It presents methodologies of coping with uncertainty in reliability optimization through the usage of various techniques such as soft computing, fuzzy optimization, uncertainty, and maintenance scheduling. Case studies and real-world examples are presented along with applications that can be used in practice. This book will be useful to researchers, academicians, and practitioners working in the area of reliability and systems assurance engineering. - Provides current advances and developments across different branches of engineering. - Reviews and analyses case studies and real-world examples. - Presents applications to be used in practice. - Includes numerous examples to illustrate theoretical results.

Portrait

Dr. Harish Garg is working as an Assistant Professor (Senior Grade) with School of Mathematics at Thapar Institute of Engineering & Technology (Deemed University) Patiala, India. He received the Ph.D. degree major in Mathematics from Indian Institute of Technology Roorkee, Uttarakhand, India. He has authored over 205+ papers published in refereed International Journals including Information Sciences, IEEE TRANSACTIONS ON FUZZY SYSTEMS, International Journal of Intelligent Systems, Cognitive Computation, Artificial Intelligence Review, Applied Soft Computing, Experts Systems with Applications, IEEE ACCESS, Journal of Intelligent and Fuzzy Systems, Expert Systems, Journal of Manufacturing Systems, Applied Mathematics & Computations, ISA Transactions, IEEE/CAA JOURNAL OF AUTOMATIC SINICA, IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, Applied Intelligence, Computer and Industrial Engineering, Soft Computing, Computer and Operations Research, Journal of Experimental & Theoretical Artificial Intelligence, International Journal of Uncertainty, Fuzziness and Knowledge-based Systems, Journal of Industrial and Management Optimization, International Journal of Uncertainty Quantification, and many more. He has also authored seven book chapters. His research interests are in the fields of computational intelligence, Reliability theory, Evolutionary algorithms, multicriteria decision making, fuzzy decision making, Pythagorean fuzzy sets, computing with words and soft computing. Dr. Garg is the Associate Editors for Journal of Intelligent & Fuzzy Systems, Mathematical Problems in Engineering, Journal of Industrial & Management Optimization, Complex and Intelligent Systems, CAAI Transactions on Intelligence Technology and so on. He is the Editorial Board members of the several international journals. In 2016-2019, he was the receipt of the outstanding reviewer for the various journals including ASOC, AMM, EAAI, RESS etc. His Google citations are 5900+. For more details, visit http://sites.google.com/site/harishg58iitr/ Dr. Mangey Ram received the Ph.D. degree major in Mathematics and minor in Computer Science from G. B. Pant University of Agriculture and Technology, Pantnagar, India. He has been a Faculty Member for around ten years and has taught several core courses in pure and applied mathematics at undergraduate, postgraduate, and doctorate levels. He is currently a Professor at Graphic Era (Deemed to be University), Dehradun, India. Before joining the Graphic Era, he was a Deputy Manager (Probationary Officer) with Syndicate Bank for a short period. He is Editor-in-Chief of International Journal of Mathematical, Engineering and Management Sciences and the Guest Editor & Member of the editorial board of various journals. He is a regular Reviewer for international journals, including IEEE, Elsevier, Springer, Emerald, John Wiley, Taylor & Francis and many other publishers. He has published 150 plus research publications in IEEE, Taylor & Francis, Springer, Elsevier, Emerald, World Scientific and many other national and international journals of repute and also presented his works at national and international conferences. His fields of research are reliability theory and applied mathematics. Dr. Ram is a Senior Member of the IEEE, life member of Operational Research Society of India, Society for Reliability Engineering, Quality and Operations Management in India, Indian Society of Industrial and Applied Mathematics, member of International Association of Engineers in Hong Kong, and Emerald Literati Network in the U.K. He has been a member of the organizing committee of a number of international and national conferences, seminars, and workshops. He has been conferred with "Young Scientist Award" by the Uttarakhand State Council for Science and Technology, Dehradun, in 2009. He has been awarded the "Best Faculty Award" in 2011; "Research Excellence Award" in 2015; and recently "Outstanding Researcher Award" in 2018 for his significant contribution in academics and research at Graphic Era Deemed to be University, Dehradun, India.

Inhaltsverzeichnis

1. Maintenance Models and Methodologies. 2. Big Data and IoT Applications for Reliability Improvement. Reliability Redundancy Allocation Problems. Risk and Reliability Analysis. Fault Tree Analysis in Hardware and Software Systems. 6. Evolutionary Algorithms for Reliability Analysis. Fuzzy Reliability Analysis. 8. Petri Net Model for Repairable Systems. 9. Systems Safety and Performance Analysis. 10. Evidence Reliability. 11. Dynamic Reliability of Sensor. 12. Risk Aversion in Supply Chain Management. 13. Risk management models of operations problem. 14. The Application in Business Processes.

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