Importance measures in reliability and mathematical programming

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

54 Scopus Citations
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Detail(s)

Original languageEnglish
Pages (from-to)241-267
Journal / PublicationAnnals of Operations Research
Volume212
Issue number1
Publication statusPublished - Jan 2014

Abstract

The importance measures have been a sensitivity analysis for a probabilistic system and are applied in diverse fields along with other design tools. This paper provides a comprehensive view on modeling the importance measures to solve the reliability problems such as component assignment problems, redundancy allocation, system upgrading, and fault diagnosis and maintenance. It also investigates importance measures in broad applications such as networks, mathematical programming, sensitivity and uncertainty analysis, and probabilistic risk analysis and probabilistic safety assessment. The importance-measure based methods are among the most practical decision tools. © 2012 Springer Science+Business Media, LLC.

Research Area(s)

  • Importance measures, Mathematical programming, Network flow, PRA, Reliability design, Sensitivity analysis, Uncertainty analysis