TY  - BOOK
AU  - Dui,Hongyan
AU  - Wu,Shaomin
ED  - SpringerLink (Online service)
TI  - Importance-Informed Reliability Engineering
T2  - Springer Series in Reliability Engineering,
SN  - 9783031524554
AV  - T57.6-57.97 
U1  - 003 23
PY  - 2024///
CY  - Cham
PB  - Springer Nature Switzerland, Imprint: Springer
KW  - Operations research
KW  - Management science
KW  - Industrial engineering
KW  - Production engineering
KW  - Mechanical engineering
KW  - Electric power distribution
KW  - Mathematical optimization
KW  - Statistics 
KW  - Operations Research, Management Science
KW  - Industrial and Production Engineering
KW  - Mechanical Engineering
KW  - Energy Grids and Networks
KW  - Optimization
KW  - Applied Statistics
N1  - Introduction -- Importance measures-informed reliability design -- Importance measures for optimization of cost-independent maintenance policies -- Importance measures for optimization of cost-based maintenance policies -- Importance measures for networks -- Importance measures for resilience management -- Case studies
N2  - This book provides university students and practitioners with a collection of importance measures to design systems with high reliability, maintain them with high availability, and restore them in case of failures. Optimal reliability design, properly system maintenance and resilience management are vital for retaining a high level of system availability. Reliability importance measures, which are used to identify the weakest components from different perspectives, can be used to achieve this goal. The book has seven parts. Chapter 1 introduces the basic concepts. Chapter 2 focuses on importance measures for the system design phase and introduces how the system reliability can be improved with importance measures. Chapters 3 and 4 provide importance measures-related methods for scheduling maintenance policies under different scenarios. Chapter 5 provides importance measures for networks. Chapter 6 proposes importance measures for resilience management. The last chapter, or Chapter 7, illustrates the importance measures with case studies adopted from four types of systems: mechanical systems, energy systems, transport networks, and supply chain networks
UR  - http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-52455-4
ER  -