Reliability and Risk Modeling of Engineering Systems -

Reliability and Risk Modeling of Engineering Systems

Buch | Hardcover
XIX, 165 Seiten
2021 | 1st ed. 2021
Springer International Publishing (Verlag)
978-3-030-70150-5 (ISBN)
160,49 inkl. MwSt

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.

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 medallist) 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, two PhD scholars are working under him. Five M. Tech dissertations have been guided by him and two are in progress. He has published 16 research papers in SCI/Scopus indexed journals. Five book chapters and one book have been also published by him under reputed publisher. With this six international conferences have been also attended by him. He also edited a book on advance multi-criteria decision making for addressing complex sustainability issues. Dr. Prasenjit Chatterjee is currently working as an Associate Professor of Mechanical Engineering Department at MCKV Institute of Engineering, India. He has over 80 research papers in various international journals and peer reviewed conferences, including International Journal of Production Research, Applied Soft Computing, Computers and Industrial Engineering, Management Decision, Clean Technologies and Environmental Policy, Journal of Cleaner Production, Journal of Natural Fibers, Benchmarking: an International Journal, OPSEARCH, International Journal of Advanced Manufacturing Technology, Materials and Design, Robotics and Computer Integrated Manufacturing to name a few. He has received numerous awards including Best Track Paper Award, Outstanding Reviewer Award, Best Paper Award, Bright Researcher Award, Outstanding Researcher Award and University Gold Medal. He has been the Guest Editor of several special issues in different Scopus and Emerging Sources Citation Index (Clarivate Analytics) indexed journals. He has edited and authored several books on decision-making approaches and sustainability. He is the Lead Series Editor of International Perspectives on Decision Analysis and Operations Research, Emerald Group Publishing; AAP Research Notes on Optimization and Decision Making Theories; and Frontiers of Mechanical and Industrial Engineering, Apple Academic Press, a partner of CRC Press, Taylor and Francis Group. Dr. Chatterjee is one of the developers of a new Multiple-criteria decision-making method called Measurement of Alternatives and Ranking according to COmpromise Solution (MARCOS). Dr. Dragan Pamucar is an Assistant Professor at University of Defence in Belgrade, Department of Logistics, Serbia. Dr. Pamucar received a PhD in Applied Mathematics with specialization of Multi-criteria modeling and soft computing techniques, from University of Defence in Belgrade, Serbia in 2013 and an MSc 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 Tyagiis 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.

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.

Erscheinungsdatum
Reihe/Serie EAI/Springer Innovations in Communication and Computing
Zusatzinfo XIX, 165 p. 40 illus., 22 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 439 g
Themenwelt Mathematik / Informatik Informatik Theorie / Studium
Technik Elektrotechnik / Energietechnik
Technik Nachrichtentechnik
Wirtschaft Betriebswirtschaft / Management Unternehmensführung / Management
Schlagworte Green Process operation • hazard management • Maintenance management and decision making • Occupational Health and Safety Issues • performance optimization • Process operation and safety management • Reliability, Availability and Maintainability (RAM) analysis • risk modelling
ISBN-10 3-030-70150-6 / 3030701506
ISBN-13 978-3-030-70150-5 / 9783030701505
Zustand Neuware
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