This book collects select chapters on modern industrial problems related to uncertainties and vagueness in the expert domain of knowledge. The book further provides the knowledge related to application of various mathematical and statistical tools in these areas. The results presented in the book help the researchers and scientists in handling complicated projects in their domains. Useful to industrialists, academicians, researchers and students alike, the book aims to help managers and technical specialists in designing and implementation of reliability and risk programs as below:
- Ensure the system safety and risk informed asset management
- Follow a proper strategy to maintain the mechanical components of the system
- Schedule the proper actions throughout the product life cycle
- Understand the structure and cost of a complex system
- Plan the proper schedule to improve the reliability and life of the system
- Identify unwanted failures and set up preventive and correction action
Degradation and Failure Mechanisms of Complex Systems: Principles.-
Simplified Approach to Analyse Fuzzy Reliability of a Repairable System.-
Fault-Tolerant and Resilient Neural Control for Discrete-Time Nonlinear
Systems.- Bayesian Reliability Analysis of the ToppLeone Model under
Different Loss Functions.- Availability Analysis of Non-Markovian Models with
Rejuvenation and Check Pointing.- Reliability Metrics of Textile Confection
Plant Using Copula Linguistic.- An Application of Soft Computing in Oil
Condition Monitoring.- A Multi-Parameter Occupational Safety Risk Assessment
Model for Chemicals in the University Laboratories by an MCDM-Sorting
Method.- Failure Mode and Effect Analysis (FMEA) for Safety-Critical Systems
in the Context of Industry 4.0.- Optimization of Redundancy Allocation
Problem Using QPSO Algorithm under Uncertain Environment.- Resilience:
Enterprise Sustainability Based to Risk Management.- Reliability Analysis of
Process Systems Using Intuitionistic Fuzzy SetTheory.- Smart Systems Risk
Management in IoT-Based Supply Chain.- Risk and Reliability Analysis in the
Era of Digital Transformation.- Distributed System Reliability Analysis with
Two Coverage Factors: A Copula Approach.- Qualitative Analysis Method for
Evaluation of Risk and Failures in Wind Power Plants: A Case Study of
Turkey.- Some Discrete Parametric Markov-Chain System Models to Analyze
Reliability.- Repair and Maintenance Management System of Food Processing
Equipment: A Systematic Literature Review.- Reliability, Availability,
Maintainability and Dependability of a Serial Rice Mill Plant with the
Incorporation of Coverage Factor.
HARISH GARG is Associate Professor at the School of Mathematics, Thapar Institute of Engineering and Technology, Patiala, India. He completed his Ph.D. in mathematics from the Indian Institute of Technology Roorkee, India, in 2013. His research interests include computational intelligence, reliability analysis, multi-criteria decision making, evolutionary algorithms, expert systems and decision support systems, computing with words and soft computing. With more than 410 papers published in international journals of repute, he has supervised seven Ph.D. students. He is ranked in the worlds top 2% scientists list and rank #1 in India and world rank #229 published by Stanford University in the consecutive three years 2020, 2021 and 2022. He is the recipient of the Obada Prize 2022 Young Distinguished Researchers. He is recipient of the Top-Cited Paper by India-based Author (20152019). He also serves as an advisory board member of the Universal Scientific Education and Research Network (USERN). Editor of eight books, Dr Garg serves as Founding Editor-in-Chief for the Journal of Computational and Cognitive Engineering, and Associate Editor for several renowned journals including the IEEE Transaction of Fuzzy Systems, Soft Computing, Alexandria Engineering Journal, and Complex and Intelligent Systems. His Google citations are over 17800 with H-index 75.
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