Abstract
The primary objective of this paper is to increase the performance of a redundant system with two-unit cold
standby (one is operative and other is in standby) considering the concept of preventive maintenance (PM),
inspection, degradation, priority and maximum operation time. There are two types of servers- ordinary and
expert and visit the system immediately whenever needed. The new unit works with less capacity after its repair
by ordinary server and is called degraded unit. The degraded unit goes under inspection after its repair. If
inspection reveals that repairing of degraded unit at the time of failure is not beneficial to the system, it is
replaced with a new one. Priority in repair is provided to the new unit in comparison to degraded unit. The
repair activity and PM of new unit is done by ordinary server while the inspection and repair activity of
degraded unit is carried out by expert server. If any one or two of new and/or degraded unit(s) are operative then
the system is considered in up-state. Preventive maintenance is provided to the system when both the new units
are available for use. All random variables follow arbitrary distribution. The regenerative point technique and
semi-Markov process is used to obtained the system measures such as mean time to system failure (MTSF),
mean sojourn time, availability, busy period of the servers, predicted quantity of visits by using the servers
and expected number of visits by server. For a particular case, the numerical results are also evaluated for
MTSF, availability and profit of the system model.
References
1. S. Chander; Reliability models with priority for operation and repair with arrival time of the server, Pure
and Applied Mathematical Sciences, LXI, 9-22 (2005).
2. R. Hirata; I. Arizono and Y. Takemoto; On reliability analysis in priority standby redundant systems based
on maximum entropy principle, Quality Technology & Quantitative Management, 18(1) 117-
133(2021) DOI: 10.1080/16843703.2020.1796207.
3. K. Murari and V. Goyal; Comparison of two-unit cold standby reliability models with three types of repair
facilities, Journal of Microelectronics and Reliability, 24(1) 35 – 49 (1984).
4. T. Nakagawa; Optimum inspection policies for a standby unit, Journal of Operation Research Soc Japan,
23 13- 26(1980).
5. M.Ram and M. Manglik; Stochastic behaviour analysis of a Markov model under multi-state
failures, International Journal of Systems Assurance and Engineering Management, 5 686–699 (2014).
https://doi.org/10.1007/s13198-014-0234-5
6. V. Garg and M.S. Kadyan; Profit Analysis of a Two-Unit Cold Standby System Subject to Preventive
Maintenance, International Journal of Statistics and Reliability Engineering, 3(1) 29-39 (2016).
7. L. Yang; Y. Zhao and X. Ma; An inspection model for a multi-component system subject to 2 types of
failures, Quality and Reliability Engineering International, 33(8) 2539-2549 (2017).
8. J. Yu; S. Zheng; H. Pham and T. Chen; Reliability modeling of multi-state degraded repairable systems
and its applications to automotive systems, Quality and Reliability Engineering International, 34(3) 459-474
(2018).
9. Z. A. A. Hemyari and S. M. Rizwan; Reliability analysis of a two unit system, IEEE International
Conference on Industrial Engineering and Engineering Management, 1265-1268 (2007) doi:
10.1109/IEEM.2007.4419395.
10. C. Zhong and H. Jin; A novel optimal preventive maintenance policy for a cold standby system based on
semi-Markov theory, European Journal of Operational Research, 232(2) 405-411 (2014).
11. Z. Behboudi; G. R. Mohtashami Borzadaran and M. Asadi; Reliability modeling of two-unit cold standby
systems: A periodic switching approach, Applied Mathematical Modeling, 92 176-195 (2021).