Reliability Management and Engineering

Challenges and Future Trends
Herausgeber: Garg, Harish; Ram, Mangey

• Gebundenes Buch

Produktbeschreibung

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. Provides current advances and developments across different branches of engineering. Reviews and analyses case studies and real-world examples. Presents applications to be used in practice. Includes numerous examples to illustrate theoretical results.

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Produktdetails

• Verlag: CRC Press
• Seitenzahl: 302
• Erscheinungstermin: 15. Juni 2020
• Englisch
• Abmessung: 240mm x 161mm x 21mm
• Gewicht: 619g
• ISBN-13: 9780367211530
• ISBN-10: 036721153X
• Artikelnr.: 69937518

Autorenporträt

Harish Garg, Mangey Ram

Inhaltsangabe

1. Maintenance Models and Methodologies. 2. Big Data and IoT Applications
for Reliability Improvement. Reliability Redundancy Allocation Problems.
Risk and Reliability Analysis. Fault Tree Analysis in Hardware and Software
Systems. 6. Evolutionary Algorithms for Reliability Analysis. Fuzzy
Reliability Analysis. 8. Petri Net Model for Repairable Systems. 9. Systems
Safety and Performance Analysis. 10. Evidence Reliability. 11. Dynamic
Reliability of Sensor. 12. Risk Aversion in Supply Chain Management. 13.
Risk management models of operations problem. 14. The Application in
Business Processes.