Hostname: page-component-76fb5796d-zzh7m Total loading time: 0 Render date: 2024-04-27T05:02:25.564Z Has data issue: false hasContentIssue false

On optimal operational sequence of components in a warm standby system

Published online by Cambridge University Press:  16 January 2019

Maxim Finkelstein*
Affiliation:
University of the Free State and ITMO University
Nil Kamal Hazra*
Affiliation:
IIITDM Kancheepuram
Ji Hwan Cha*
Affiliation:
Ewha Womans University
*
* Postal address: Department of Mathematical Statistics and Actuarial Science, University of the Free State, 339 Bloemfontein 9300, South Africa, and ITMO University, Saint Petersburg, Russia.
** Postal address: Department of Mathematics, Indian Institute of Information Technology, Design and Manufacturing, Kancheepuram, Chennai 600127, Tamil Nadu, India.
*** Postal address: Department of Statistics, Ewha Womans University, Seoul 120-750, Republic of Korea. Email address: jhcha@ewha.ac.kr

Abstract

We consider an open problem of obtaining the optimal operational sequence for the 1-out-of-n system with warm standby. Using the virtual age concept and the cumulative exposure model, we show that the components should be activated in accordance with the increasing sequence of their lifetimes. Lifetimes of the components and the system are compared with respect to the stochastic precedence order and its generalization. Only specific cases of this optimal problem were considered in the literature previously.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 2018 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

[1]Bagdonavicius, V. and Nikulin, M. (2002). Accelerated Life Models. Modelling and Statistical Analysis. Chapman and Hall, Boca Raton, FL.Google Scholar
[2]Barlow, R. E.and Proschan, F. (1975). Statistical Theory of Reliability and Life Testing. Holt, Renerhart and Winston, New York.Google Scholar
[3]Boland, P. J., Singh, H. and Cukic, B. (2004). The stochastic precedence ordering with applications in sampling and testing. J. Appl. Prob. 41, 7382.Google Scholar
[4]Cha, J. H., Mi, J. and Yun, W. Y. (2008). Modeling of a general standby system and evaluation of its performance. Appl. Stoch. Model. Bus. 24, 159169.Google Scholar
[5]Finkelstein, M. (2007). On statistical and information-based virtual age of degrading systems. Reliab. Eng. System Safety 92, 676681.Google Scholar
[6]Finkelstein, M. (2008). Failure Rate Modelling for Reliability and Risk. Springer, London.Google Scholar
[7]Finkelstein, M. (2013). On some comparisons of lifetimes for reliability analysis. Reliab. Eng. System Safety 119, 300304.Google Scholar
[8]Finkelstein, M. and Cha, J. H. (2013). Stochastic Modelling for Reliability: Shocks, Burn-in, and Heterogeneous Populations. Springer, London.Google Scholar
[9]Hazra, N. K. and Nanda, A. K. (2017). General standby allocation in series and parallel systems. Commun. Statist. Theory Meth. 46, 98429858.Google Scholar
[10]Levitin, G., Xing, L. and Dai, Y. (2013). Optimal sequencing of warm standby components. Comput. Ind. Eng. 65, 570576.Google Scholar
[11]Levitin, G., Xing, L. and Dai, Y. (2014). Cold versus hot standby mission operation cost minimization for 1-out-of-N systems. Europ. J. Operat. Res. 234, 155162.Google Scholar
[12]Montes, I. and Montes, S. (2016). Stochastic dominance and statistical preference for random variables coupled by an Archimedean copula or by the Frèchet-Hoeffding upper bound. J. Multivariate Anal. 143, 275298.Google Scholar
[13]Nelson, W.(1990). Accelerated Testing: Statistical Models, Test Plans, and Data Analysis. John Wiley, Hoboken, NJ.Google Scholar
[14]Ruiz-Castro, J. E. and Fernández-Villodre, G. (2012). A complex discrete warm standby system with loss of units. Europ. J. Operat. Res. 218, 456469.Google Scholar
[15]De Santis, E., Fantozzi, F. and Spizzichino, F. (2015). Relations between stochastic orderings and generalized stochastic precedence. Prob. Eng. Inf. Sci. 29, 329343.Google Scholar
[16]Shaked, M. and Shanthikumar, J. (2007). Stochastic Orders. Springer, New York.Google Scholar
[17]Singpurwalla, N. D. (2006). The hazard potential: introduction and overview. J. Amer. Statist. Assoc. 101, 17051717.Google Scholar
[18]Yun, W. Y. and Cha, J. H. (2010). Optimal design of a general warm standby system. Reliab. Eng. System Safety 95, 880886.Google Scholar
[19]Zhai, Q., Yang, J., Peng, R. and Zhao, Y. (2015). A study of optimal component order in a general 1-out-of-n warm standby system. IEEE Trans. Reliab. 64, 349358.Google Scholar
[20]Zhang, T., Xie, M. and Horigome, M. (2006). Availability and reliability of k-out-of-(M+N): G warm standby systems. Reliab. Eng. System Safety 91, 381387.Google Scholar