Reliability and Risk Modeling of Engineering Systems
(Sprache: Englisch)
This book addresses reliability, maintenance, risk, and safety issues of industrial systems with applications of the latest decision-making techniques. Thus, this book presents chapters that apply advanced tools, techniques, and computing models for...
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Klappentext zu „Reliability and Risk Modeling of Engineering Systems “
This book addresses reliability, maintenance, risk, and safety issues of industrial systems with applications of the latest decision-making techniques. Thus, this book presents chapters that apply advanced tools, techniques, and computing models for optimizing the performance of industrial and manufacturing systems, along with other complex engineering equipment. Computing techniques like data analytics, failure mode and effects analysis, fuzzy set theory, petri-net, multi-criteria decision-making (MCDM), and soft computing are used for solving problems of reliability, risk, and safety related issues.
Inhaltsverzeichnis zu „Reliability and Risk Modeling of Engineering Systems “
Introduction.- Applications of mathematical modelling for RAM analysis.- Application of mathematical modelling for risk analysis.- Integrated fuzzy decision support system for maintenance decision support system.- A decision support model for optimizing plant operation and system safety.- Models for reliability based cost decision.- Models for clean and green production for industrial system.- Model development and its application for hazard management.- Green process operation for cleaner production.- Application of soft computing techniques for optimization of RAM and risk issues.- Conclusion.
Autoren-Porträt
Dr. Dilbagh Panchal is currently working as Assistant Professor in the Department of Industrial and Production Engineering, Dr. B R Ambedkar National Institute of Technology Jalandhar, Punjab, India-144011. He works in the area of Reliability and Maintenance Engineering, fuzzy decision making and operation management. He obtained his Bachelor (Hons.) in Mechanical Engineering from Kurukshetra University, Kurukshetra, India in 2007 and Masters (Gold medalist) in Manufacturing Technology in 2011 from Dr B R Ambedkar National Institute of Technology Jalandhar, India. He has done his PhD from Indian Institute of Technology Roorkee, India in 2016. Presently, Three PhD scholars are working under him. Seven M. Tech dissertations have been guided by him and two are in progress. He has published 22 research papers in SCI/Scopus indexed journals. Ten book chapters have been also published by him under reputed publisher. He has edited two books in the area of his expertise and seven books are in progress. With this ten international conferences have been also attended by him. He is the life member of various societies like ORSI, Kolkata, ISTE, New Delhi and IIIE, Mumbai. He is associate editor of International journal of system assurance and engineering management (Springer Publication). He is the regular reviewer of many journals like International journal of industrial and system engineering (Inderscience), International journal of operational research (Inderscience), OPSERACH (Springer Publication); Applied Energy (Elsevier publishers) etc. Dr. Prasenjit Chatterjee is currently the Dean (Research and Consultancy) at MCKV Institute of Engineering, West Bengal, India. He has over 90 research papers in various international journals and peer reviewed conferences. He has received numerous awards including Best Track Paper Award, Outstanding Reviewer Award, Best Paper Award, Outstanding Researcher Award and University Gold Medal. He has been the Guest Editor
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ofseveral special issues in different Scopus and Emerging Sources Citation Index (Clarivate Analytics) indexed journals. He has authored and edited several books on decision-making approaches, supply chain, intelligent computing and sustainability modeling. He is the Lead Series Editor of Disruptive Technologies and Digital Transformations for Society 5.0, Springer. Dr. Chatterjee is one of the developers of two well popular multiple-criteria decision-making methods, namely Measurement of Alternatives and Ranking according to COmpromise Solution (MARCOS) and Ranking of Alternatives through Functional mapping of criterion sub-intervals into a Single Interval (RAFSI).
Dr. Dragan Pamucar is an Associate Professor at University of Defence in Belgrade, Department of Logistics, Serbia. He received PhD in Applied Mathematics with specialization of Multi-criteria modeling and soft computing techniques from University of Defence in Belgrade, Serbia in 2013 and anMSc degree from the Faculty of Transport and Traffic Engineering in Belgrade, 2009. His research interest are in the field of Computational Intelligence, Multi-criteria decision making problems, Neuro-fuzzy systems, fuzzy, rough and intuitionistic fuzzy set theory, neutrosophic theory. Application areas include wide range of logistics problems. Dr. Pamucar has authored/co-authored over 80 papers published in refereed International Journals. He has conducted several guest lectures by eminent academicians and industry professionals. He is in editorial board, organizing committee and programme committee of several international journals and peer reviewed conferences.
Dr. Mohit Tyagi is Assistant Professor in Department of Industrial and Production Engineering at Dr. B. R. Ambedkar National Institute of Technology Jalandhar, India. He has obtained his B. Tech (Mechanical Engineering) with Hons. from UPTU Lucknow in 2008 and M. Tech. (Product Design and Development) with
Dr. Dragan Pamucar is an Associate Professor at University of Defence in Belgrade, Department of Logistics, Serbia. He received PhD in Applied Mathematics with specialization of Multi-criteria modeling and soft computing techniques from University of Defence in Belgrade, Serbia in 2013 and anMSc degree from the Faculty of Transport and Traffic Engineering in Belgrade, 2009. His research interest are in the field of Computational Intelligence, Multi-criteria decision making problems, Neuro-fuzzy systems, fuzzy, rough and intuitionistic fuzzy set theory, neutrosophic theory. Application areas include wide range of logistics problems. Dr. Pamucar has authored/co-authored over 80 papers published in refereed International Journals. He has conducted several guest lectures by eminent academicians and industry professionals. He is in editorial board, organizing committee and programme committee of several international journals and peer reviewed conferences.
Dr. Mohit Tyagi is Assistant Professor in Department of Industrial and Production Engineering at Dr. B. R. Ambedkar National Institute of Technology Jalandhar, India. He has obtained his B. Tech (Mechanical Engineering) with Hons. from UPTU Lucknow in 2008 and M. Tech. (Product Design and Development) with
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Bibliographische Angaben
- 2022, 1st ed. 2021, XIX, 165 Seiten, 22 farbige Abbildungen, Masse: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Dilbagh Panchal, Prasenjit Chatterjee, Dragan Pamucar, Mohit Tyagi
- Verlag: Springer, Berlin
- ISBN-10: 3030701530
- ISBN-13: 9783030701536
Sprache:
Englisch
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