Optimal allocation of a coherent system with statistical dependent subsystems

IF 0.7 3区 工程技术 Q4 ENGINEERING, INDUSTRIAL Probability in the Engineering and Informational Sciences Pub Date : 2021-09-24 DOI:10.1017/S0269964821000437
Bin Lu, Jiandong Zhang, Rongfang Yan
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引用次数: 1

Abstract

Abstract This paper studies the optimal allocation policy of a coherent system with independent heterogeneous components and dependent subsystems, the systems are assumed to consist of two groups of components whose lifetimes follow proportional hazard (PH) or proportional reversed hazard (PRH) models. We investigate the optimal allocation strategy by finding out the number $k$ of components coming from Group A in the up-series system. First, some sufficient conditions are provided in the sense of the usual stochastic order to compare the lifetimes of two-parallel–series systems with dependent subsystems, and we obtain the hazard rate and reversed hazard rate orders when two subsystems have independent lifetimes. Second, similar results are also obtained for two-series–parallel systems under certain conditions. Finally, we generalize the corresponding results to parallel–series and series–parallel systems with multiple subsystems in the viewpoint of the minimal path and the minimal cut sets, respectively. Some numerical examples are presented to illustrate the theoretical findings.
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具有统计相关子系统的相干系统的最优分配
摘要本文研究了具有独立异构组件和依赖子系统的相干系统的最优配置策略,该系统假设由两组组件组成,其寿命遵循比例风险(PH)模型或比例反向风险(PRH)模型。我们通过找出上串联系统中来自A组的组件数量k来研究最优分配策略。首先,在通常的随机顺序意义上,给出了比较具有依赖子系统的两个并联串联系统寿命的充分条件,并得到了两个子系统具有独立寿命时的危险率和反危险率顺序。其次,在一定条件下,两串并联系统也得到了类似的结果。最后,分别从最小路径和最小割集的角度将相应的结果推广到具有多个子系统的并联-串联和串联-并联系统。给出了一些数值算例来说明理论结果。
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来源期刊
CiteScore
2.20
自引率
18.20%
发文量
45
审稿时长
>12 weeks
期刊介绍: The primary focus of the journal is on stochastic modelling in the physical and engineering sciences, with particular emphasis on queueing theory, reliability theory, inventory theory, simulation, mathematical finance and probabilistic networks and graphs. Papers on analytic properties and related disciplines are also considered, as well as more general papers on applied and computational probability, if appropriate. Readers include academics working in statistics, operations research, computer science, engineering, management science and physical sciences as well as industrial practitioners engaged in telecommunications, computer science, financial engineering, operations research and management science.
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