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 eBook
• Language: English
• Published: London : Springer London, 2010.
• Subjects: Engineering.; Production management.; Probabilities.; Computational intelligence.; Engineering economics.; Engineering economy.; Quality control.; Reliability.; Industrial safety.; Quality Control, Reliability, Safety and Risk.; Operations Management.; Probability Theory and Stochastic Processes.; Computational Intelligence.; Engineering Economics, Organization, Logistics, Marketing.

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:

• Multi-state Systems in Nature and in Engineering
• Modern Stochastic Process Methods for Multi-state System Reliability Assessment
• Statistical Analysis of Reliability Data for Multi-state Systems
• Universal Generating Function Method
• Combined Universal Generating Function and Stochastic Process Method
• Reliability-associated Cost Assessment and Management Decisions for Multi-state Systems
• Aging Multi-state Systems
• Fuzzy Multi-state System: General Definition and Reliability Assessment.