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.
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Provides current advances and developments across different branches of engineering.
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Reviews and analyses case studies and real-world examples.
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Presents applications to be used in practice.
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Includes numerous examples to illustrate theoretical results.
Preface
Chapter 1 : Maintenance Models and Methodologies
Chapter 2 : Big Data and IoT Applications for Reliability Improvement
Chapter 3 : Reliability Redundancy Allocation Problems
Chapter 4 : Risk and Reliability Analysis
Chapter 5 : Fault Tree Analysis in Hardware and Software Systems
Chapter 6 : Evolutionary Algorithms for Reliability Analysis
Chapter 7 : Fuzzy Reliability Analysis
Chapter 8 : Petri Net Model for Repairable Systems
Chapter 9 : Systems Safety and Performance Analysis
Chapter 10 : Evidence Reliability
Chapter 11 : Dynamic Reliability of Sensor
Chapter 12 : Risk Aversion in Supply Chain Management
Chapter 13 : Risk management models of operations problem
Chapter 14 : The Application in Business Processes
Index
