Engineering Reliability and Risk Assessment explains how to improve the performance of a system using the latest risk and reliability models. Against a backdrop of increasing availability of industrial data, and ever-increasing global commercial competition, the standards for optimal efficiency with minimum hazards keep improving. Topics explained include Effective strategies for the maintenance of the mechanical components of a system, How to schedule necessary interventions throughout the product life cycle, How to understand the structure and cost of complex systems, Planning a schedule to improve the reliability and life of the system, software, system safety and risk informed asset management, and more. Uses case studies from industry practice to explain innovative solutions to real world risk assessment problems Addresses the full interdisciplinary range of topics that influence this complex field Provides brief introductions to important concepts, including risk and reliability analysis and fuzzy reliability INDICE: 1. Reliability & Risk Optimization2. Mathematical Model for Risk Analysis3. Risk Aversion in Supply Chain Management4. Maintenance Models and Methodologies5. Reliability Redundancy Allocation Problems6. Risk and Reliability Analysis7. Risk Management Models of Operations Problems8. Fault Tree Analysis in Hardware and Software Systems9. Evolutionary Algorithms for Reliability Analysis10. Fuzzy Reliability Analysis11. Systems Safety and Performance Analysis12. Evidence Reliability13. Dynamic Reliability of Sensor14. The Application in Business Processes
- ISBN: 978-0-323-91943-2
- Editorial: Elsevier
- Encuadernacion: Rústica
- Páginas: 500
- Fecha Publicación: 01/09/2022
- Nº Volúmenes: 1
- Idioma: Inglés