Reliability and Risk Modeling of Engineering Systems

ISBN-13: 9783030701536 / Angielski / Miękka / 2022

Opis

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.

Spis treści

1) Behaviour analysis of Polytube industry using fuzzy set theory and particle swarm optimization

2) RAM Analysis of Industrial System of a Chemical Industry 

3) Signature reliability of consecutive k-out-of-n:F system using universal generating function 

4) INTEGRATING RELIABILITY, AVAILABILITYAND MAINTAINABILITY ISSUES FOR ANALYSING FAILURES IN FUEL INJECTION PUMP

5) Multi-state Reconfigurable manufacturing system configuration design with availability consideration

6) Reliability and Availability Analysis of a Standby System of PCB Manufacturing Unit

7) Risk Mitigation of SGU in Sugar Plant using Fuzzy Digraph and Matrix Approach

8) An Integrated Fuzzy MCDM-based FMEA Approach for Risk Prioritization of Casting Defects in Electro-Pneumatic Brake Units of EMU, MEMU, and DMU coaches

9) Dimensions Modelling for Reliable Indian Food Supply Chains

10) RAM analysis for improving productivity in process industries: A review

O autorze

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 of several 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 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 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 Gold Medal from MNNIT Allahabad in 2010. He did his Ph.D. from Indian Institute of Technology, Roorkee (India) in 2015. His areas of research are Industrial Engineering, Supply Chain Management, Corporate Social Responsibilities, Performance Measurement System, Data Science and Fuzzy Inference System. He has around 7 years of teaching and research experience. He has guided 18 PG dissertations and 15 UG projects. He is presently supervising 02 M. Tech. and 03 PhD scholars. He has around 75 publications in international/national journals and proceedings of international conferences and book chapters in reputed publishers of his credit. Dr. Tyagi is reviewer of many international journal of repute like International Journal of Industrial Engineering: Theory, Application and Practices, Supply Chain Management: An International Journal, International Journal of Logistics System Management, and Journal of Manufacturing Technology Management, Information Systems, Grey Systems: Theory and Applications etc. He has organized three international conferences and webinars in collaboration with Indo-German Research Center DST, Govt of India. He has also organized seven TEQIP sponsored short term courses/faculty development program in the area of expertise. He has performed many academic and administrative responsibilities like: Assistant Public Relation Officer (APRO) NIT Jalandhar, Assistant Training Officer, Coordinator Academic (PG), Warden of Boy’s Hostels, member of Joint Admission Counseling (JAC-2015-Delhi) Coordinator and Committee member of the various leading events (Utkansh, Bharat Dhwani, Hackathon (National technical Event) Induction cum Orientation Program for New Entrants, Technical Fest (TechNITi), Swach Bharat Mission Committee etc)

Blurb

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.

• Discusses reliability, risk, and safety issues of industrial systems with the application of the latest reliability and risk based modelling;
• Includes a wide range of applications related to reliability and risk modeling of engineering systems;
• Presents a collection of a diverse range of case studies and uses methods to let readers apply cutting-edge decision making methods to their own projects.