Multi-state System Reliability Analysis and Optimization for Engineers
and Industrial Managers presents a comprehensive, up-to-date description
of multi-state system (MSS) reliability as a natural extension of
classical binary-state reliability. It presents all essential
theoretical achievements in the field, but is also practically oriented.
New theoretical issues are described, including: - combined Markov and
semi-Markov processes methods, and universal generating function
techniques; - statistical data processing for MSSs; - reliability
analysis of aging MSSs; - methods for cost-reliability and
cost-availability analysis of MSSs; and - main definitions and concepts
of fuzzy MSS. Multi-state System Reliability Analysis and Optimization
for Engineers and Industrial Managers also discusses life cycle cost
analysis and practical optimal decision making for real world MSSs.
Numerous examples are included in each section in order to illustrate
mathematical tools. Besides these examples, real world MSSs (such as
power generating and transmission systems, air-conditioning systems,
production systems, etc.) are considered as case studies. Multi-state
System Reliability Analysis and Optimization for Engineers and
Industrial Managers also describes basic concepts of MSS, MSS
reliability measures and tools for MSS reliability assessment and
optimization. It is a self-contained study resource and does not require
prior knowledge from its readers, making the book attractive for
researchers as well as for practical engineers and industrial managers.
