Multi-state System Reliability Analysis and Optimization for Engineers and Industrial Managers

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...

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Main Authors: Lisnianski, Anatoly, Frenkel, Ilia (Author), Ding, Yi (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: London Springer London 2010, 2010
Edition:1st ed. 2010
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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505 0 |a General Definition and Reliability Assessment 
653 |a Reliability 
653 |a Operations Management 
653 |a Production management 
653 |a Engineering Economics, Organization, Logistics, Marketing 
653 |a Industrial safety 
653 |a Computational intelligence 
653 |a Engineering economics 
653 |a Quality Control, Reliability, Safety and Risk 
653 |a Computational Intelligence 
653 |a Quality control 
653 |a Engineering economy 
653 |a Probability Theory and Stochastic Processes 
653 |a Probabilities 
700 1 |a Frenkel, Ilia  |e [author] 
700 1 |a Ding, Yi  |e [author] 
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520 |a 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