Reliability Modelling and Analysis of Redundant Systems Connected to Supporting External Device for Operation Attended by a Repairman and Repairable Service Station

Abstract

In this paper, probabilistic models for three redundant configurations have been developed to analyze and compare some reliability characteristics. Each system is connected to a repairable supporting external device for operation. Repairable service station is provided for immediate repair of failed unit. Explicit expressions for mean time to system failure and steady-state availability for the three configurations are developed. Furthermore, we compare the three configurations based on their reliability characteristics and found that configuration II is more reliable and efficient than the remaining configurations.

Share and Cite:

Yusuf, I. , Said, R. , Koki, F. and Babagana, M. (2014) Reliability Modelling and Analysis of Redundant Systems Connected to Supporting External Device for Operation Attended by a Repairman and Repairable Service Station. Journal of Applied Mathematics and Physics, 2, 1242-1256. doi: 10.4236/jamp.2014.213145.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] Khatab, A., Nahas, N. and Nourelfath, M. (2009) Availability of k-out-of-n: G Systems with Non Identical Components Subject to Repair Priorities. Reliability Engineering & System Safety, 94, 142-151.
http://dx.doi.org/10.1016/j.ress.2008.02.017
[2] Fathabadi, H.S. and Khodaei, M. (2012) Reliability Evaluation of Network Flows with Stochastic Capacity and Cost Constraint. International Journal of Mathematics in Operational Research, 4, 439-452.
http://dx.doi.org/10.1504/IJMOR.2012.048904
[3] Khalili-Damghani, K. and Amiri, M. (2012) Solving Binary-State Multi-Objective Reliability Redundancy Allocation Seriesparallel Problem Using Efficient Epsilon Constraint, Multi-Start Partial Bound Enumeration Algorithm, and DEA. Reliability Engineering and System Safety, 103, 35-44.
http://dx.doi.org/10.1016/j.ress.2012.03.006
[4] Khalili-Damghani, K., Abtahi, A.R., and Tavana, M. (2013) A New Multi-Objective Particle Swarm Optimization Method for Solving Reliability Redundancy Allocation Problems. Reliability Engineering and System Safety, 111, 58-75.
http://dx.doi.org/10.1016/j.ress.2012.10.009
[5] Wang, K.-H., Yen, T.-C. and Fang, Y.-C. (2012) Comparison of Availability between Two Systems with Warm Standby Units and Different Imperfect Coverage. Quality Technology and Quantitative Management, 9, 265-282
[6] Srinivasan, S.K. and Subramanian, R. (2006) Reliability Analysis of a Three Unit Warm Standby Redundant System with Repair. Annals of Operations Research, 143, 227-235. http://dx.doi.org/10.1007/s10479-006-7384-z
[7] Singh, V.V., Singh, B., Mangeyram and Goel, C.K. (2010) Availability Analysis of a System Having Three Units Super Priority, Priority and Ordinary under Peemmptive Resume Repair Policy. International Journal of Reliability and Applications, 11, 41-53.
[8] Singh, V.V. and Rawal, D.K. (2011) Availability Analysis of a System Having Two Units in Series Configuration with Controller and Human Failure under Different Repair Policies. International Journal of Scientific and Engineering Research, 2, 1-9.
[9] Yusuf, I. (2013) Comparison of Some Reliability Characteristics between Redundant Systems Requiring Supporting Units for Their Operation. Journal of Mathematical and Computational Sciences, 3, 216-232.
[10] Yusuf, I. (2014) Comparative Analysis of Profit between Three Dissimilar Repairable Redundant Systems Using Supporting External Device for Operation. Journal of Industrial Engineering International, 10, 2-9.
http://dx.doi.org/10.1007/s40092-014-0077-3
[11] Wang, K.H. and Kuo, C.C. (2000) Cost and Probabilistic Analysis of Series Systems with Mixed Standby Components. Applied Mathematical Modelling, 24, 957-967.
http://dx.doi.org/10.1016/S0307-904X(00)00028-7
[12] Wang, K., Hsieh, C. and Liou, C. (2006) Cost Benefit Analysis of Series Systems with Cold Standby Components and a Repairable Service Station. Journal of Quality Technology and Quantitative Management, 3, 77-92.

Copyright © 2023 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.