Risk Times in Mission‐Oriented Systems

ABSTRACT This article assesses risk times in mission‐oriented systems with high safety standards. We examine critical times under two safety policies. The first requires that the system's reliability function, known the first failure of the components, must exceed a reliability level throughout the mission. The second demands that the conditional distribution of the system's lifetime, given the first failure of the components, must be more reliable, in terms of the usual stochastic order, than the original system's lifetime. Our study analyzes the critical times at which both policies remain viable. Our methodology, applicable to multiple failure scenarios, identifies sufficient conditions for the existence of these times. We offer explicit solutions for parallel systems with IID components and a general method for dependent and identically distributed components. The study includes practical examples and introduces a non‐parametric estimator for the critical times.

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Publication Details

Journal
Quality and Reliability Engineering International
Published
2026-01-03
DOI
https://doi.org/10.1002/qre.70145
Primary Topic
Reliability and Maintenance Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Risk Times in Mission‐Oriented Systems

Jorge Angel Martínez Navarro, Patricia Ortega‐Jiménez, Antonio Arriaza
Quality and Reliability Engineering International
Reliability and Maintenance Optimization
article

Risk Times in Mission‐Oriented Systems

Jorge Angel Martínez Navarro, Patricia Ortega‐Jiménez, Antonio Arriaza
article en

Abstract

ABSTRACT This article assesses risk times in mission‐oriented systems with high safety standards. We examine critical times under two safety policies. The first requires that the system's reliability function, known the first failure of the components, must exceed a reliability level throughout the mission. The second demands that the conditional distribution of the system's lifetime, given the first failure of the components, must be more reliable, in terms of the usual stochastic order, than the original system's lifetime. Our study analyzes the critical times at which both policies remain viable. Our methodology, applicable to multiple failure scenarios, identifies sufficient conditions for the existence of these times. We offer explicit solutions for parallel systems with IID components and a general method for dependent and identically distributed components. The study includes practical examples and introduces a non‐parametric estimator for the critical times.

Quality and Reliability Engineering InternationalVol. 42(3)
Universidad de Cádiz (ES), Universidad de Murcia (ES), UCLouvain (BE)
Ministerio de Ciencia, Innovación y Universidades, Fonds De La Recherche Scientifique - FNRS, Fonds Wetenschappelijk Onderzoek, Ministerio de Ciencia e Innovación, Agencia Estatal de Investigación
Openalex Percentile: Top 99%
Reliability and Maintenance Optimization
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