Multi-state component criticality analysis for reliability improvement in multi-state systems

Jose Emmanuel Ramirez-Marquez, David W. Coit

Research output: Contribution to journalArticle

75 Citations (Scopus)

Abstract

This paper evaluates and implements composite importance measures (CIM) for multi-state systems with multi-state components (MSMC). Importance measures are frequently used as a means to evaluate and rank the impact and criticality of individual components within a system yet they are less often used as a guide to prioritize system reliability improvements. For multi-state systems, previously developed measures sometimes are not appropriate and they do not meet all user needs. This study has two inter-related goals: first, to distinguish between two types of importance measures that can be used for evaluating the criticality of components in MSMC with respect to multi-state system reliability, and second, based on the CIM, to develop a component allocation heuristic to maximize system reliability improvements. The heuristic uses Monte-Carlo simulation together with the max-flow min-cut algorithm as a means to compute component CIM. These measures are then transformed into a cost-based composite metric that guides the allocation of redundant elements into the existing system. Experimental results for different system complexities show that these new CIM can effectively estimate the criticality of components with respect to multi-state system reliability. Similarly, these results show that the CIM-based heuristic can be used as a fast and effective technique to guide system reliability improvements.

Original languageEnglish (US)
Pages (from-to)1608-1619
Number of pages12
JournalReliability Engineering and System Safety
Volume92
Issue number12
DOIs
StatePublished - Dec 1 2007

Fingerprint

Composite materials
Costs

All Science Journal Classification (ASJC) codes

  • Safety, Risk, Reliability and Quality
  • Industrial and Manufacturing Engineering

Keywords

  • Importance measures
  • Multi-state systems
  • Reliability improvement

Cite this

@article{5ac760dd1d63465bb23749c3928b7d4f,
title = "Multi-state component criticality analysis for reliability improvement in multi-state systems",
abstract = "This paper evaluates and implements composite importance measures (CIM) for multi-state systems with multi-state components (MSMC). Importance measures are frequently used as a means to evaluate and rank the impact and criticality of individual components within a system yet they are less often used as a guide to prioritize system reliability improvements. For multi-state systems, previously developed measures sometimes are not appropriate and they do not meet all user needs. This study has two inter-related goals: first, to distinguish between two types of importance measures that can be used for evaluating the criticality of components in MSMC with respect to multi-state system reliability, and second, based on the CIM, to develop a component allocation heuristic to maximize system reliability improvements. The heuristic uses Monte-Carlo simulation together with the max-flow min-cut algorithm as a means to compute component CIM. These measures are then transformed into a cost-based composite metric that guides the allocation of redundant elements into the existing system. Experimental results for different system complexities show that these new CIM can effectively estimate the criticality of components with respect to multi-state system reliability. Similarly, these results show that the CIM-based heuristic can be used as a fast and effective technique to guide system reliability improvements.",
keywords = "Importance measures, Multi-state systems, Reliability improvement",
author = "Ramirez-Marquez, {Jose Emmanuel} and Coit, {David W.}",
year = "2007",
month = "12",
day = "1",
doi = "10.1016/j.ress.2006.09.014",
language = "English (US)",
volume = "92",
pages = "1608--1619",
journal = "Reliability Engineering and System Safety",
issn = "0951-8320",
publisher = "Elsevier Limited",
number = "12",

}

Multi-state component criticality analysis for reliability improvement in multi-state systems. / Ramirez-Marquez, Jose Emmanuel; Coit, David W.

In: Reliability Engineering and System Safety, Vol. 92, No. 12, 01.12.2007, p. 1608-1619.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Multi-state component criticality analysis for reliability improvement in multi-state systems

AU - Ramirez-Marquez, Jose Emmanuel

AU - Coit, David W.

PY - 2007/12/1

Y1 - 2007/12/1

N2 - This paper evaluates and implements composite importance measures (CIM) for multi-state systems with multi-state components (MSMC). Importance measures are frequently used as a means to evaluate and rank the impact and criticality of individual components within a system yet they are less often used as a guide to prioritize system reliability improvements. For multi-state systems, previously developed measures sometimes are not appropriate and they do not meet all user needs. This study has two inter-related goals: first, to distinguish between two types of importance measures that can be used for evaluating the criticality of components in MSMC with respect to multi-state system reliability, and second, based on the CIM, to develop a component allocation heuristic to maximize system reliability improvements. The heuristic uses Monte-Carlo simulation together with the max-flow min-cut algorithm as a means to compute component CIM. These measures are then transformed into a cost-based composite metric that guides the allocation of redundant elements into the existing system. Experimental results for different system complexities show that these new CIM can effectively estimate the criticality of components with respect to multi-state system reliability. Similarly, these results show that the CIM-based heuristic can be used as a fast and effective technique to guide system reliability improvements.

AB - This paper evaluates and implements composite importance measures (CIM) for multi-state systems with multi-state components (MSMC). Importance measures are frequently used as a means to evaluate and rank the impact and criticality of individual components within a system yet they are less often used as a guide to prioritize system reliability improvements. For multi-state systems, previously developed measures sometimes are not appropriate and they do not meet all user needs. This study has two inter-related goals: first, to distinguish between two types of importance measures that can be used for evaluating the criticality of components in MSMC with respect to multi-state system reliability, and second, based on the CIM, to develop a component allocation heuristic to maximize system reliability improvements. The heuristic uses Monte-Carlo simulation together with the max-flow min-cut algorithm as a means to compute component CIM. These measures are then transformed into a cost-based composite metric that guides the allocation of redundant elements into the existing system. Experimental results for different system complexities show that these new CIM can effectively estimate the criticality of components with respect to multi-state system reliability. Similarly, these results show that the CIM-based heuristic can be used as a fast and effective technique to guide system reliability improvements.

KW - Importance measures

KW - Multi-state systems

KW - Reliability improvement

UR - http://www.scopus.com/inward/record.url?scp=34547108593&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=34547108593&partnerID=8YFLogxK

U2 - 10.1016/j.ress.2006.09.014

DO - 10.1016/j.ress.2006.09.014

M3 - Article

AN - SCOPUS:34547108593

VL - 92

SP - 1608

EP - 1619

JO - Reliability Engineering and System Safety

JF - Reliability Engineering and System Safety

SN - 0951-8320

IS - 12

ER -