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

• Main Authors: Lisnianski, Anatoly. (Author), Frenkel, Ilia. (Author), Ding, Yi. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic
• Language: English
• Published: London : Springer London, 2010.
• Subjects: Engineering.; Distribution (Probability theory).; Engineering economy.; System safety.; Business logistics.; Quality Control, Reliability, Safety and Risk.; Production/Logistics.; Probability Theory and Stochastic Processes.; Computational Intelligence.; Engineering Economics, Organization, Logistics, Marketing.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-84996-320-6

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...

Table of Contents:

• 1. Multi-state Systems in Nature and Engineering
• 2. Modern Stochastic Process Methods for MSS Reliability Assessment
• 3. Statistical Analysis of Reliability Data for Multi-state Systems
• 4. Universal Generating Function (UGF) Method
• 5. Combined UGF and Stochastic Process Method
• 6. Reliability Associated Cost Assessment and Management Decisions for MSS
• 7. Aging Multi-state Systems
• 8. Fuzzy Multi-state System: General Definition and Reliability Assessment.