Applied Stochastic Models in Business and Industry, ( ISI ), Volume (39), No (3), Year (2022-12) , Pages (333-351)

Title : ( Optimal standby activation in m‐out‐of‐n systems: A preventive approach )

Authors: Zohreh Behboudi , Gholam Reza Mohtashami Borzadaran , Majid Asadi ,

Access to full-text not allowed by authors

Citation: BibTeX | EndNote

Abstract

This article investigates an optimal preventive standby activation policy for an m-out-of-n redundant system. We assume that for such a system, which starts operating at time t = 0, a standby component will be activated at either the fail- ure time of the system or at a predetermined time ????, whichever occurs first. We first obtain the system reliability function under this switching policy as a func- tion of ????. Then, we investigate the optimal switching time ???? so that the mean time to failure of the system is maximized. The results indicate that the existence of an optimal value of ???? depends on the lifetime of the standby redundancy and its virtual age in the standby state. Some illustrative examples are presented to examine the theoretical outcomes.

Keywords

, accelerated life test, m-out-of-n system, redundancy, standby system, system reliability, virtual age
برای دانلود از شناسه و رمز عبور پرتال پویا استفاده کنید.

@article{paperid:1092472,
author = {Behboudi, Zohreh and Mohtashami Borzadaran, Gholam Reza and Majid Asadi},
title = {Optimal standby activation in m‐out‐of‐n systems: A preventive approach},
journal = {Applied Stochastic Models in Business and Industry},
year = {2022},
volume = {39},
number = {3},
month = {December},
issn = {1524-1904},
pages = {333--351},
numpages = {18},
keywords = {accelerated life test; m-out-of-n system; redundancy; standby system; system reliability; virtual age},
}

[Download]

%0 Journal Article
%T Optimal standby activation in m‐out‐of‐n systems: A preventive approach
%A Behboudi, Zohreh
%A Mohtashami Borzadaran, Gholam Reza
%A Majid Asadi
%J Applied Stochastic Models in Business and Industry
%@ 1524-1904
%D 2022

[Download]