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AVAILABILITY AND RELIABILITY ANALYSIS OF A TWO-UNIT PARALLEL SYSTEM SUBJECT TO FAILURE AND REPAIR OPERATING IN A MULTI-LEVEL ENVIRONMENT

Year 2025, Volume: 15 Issue: 9, 2380 - 2397, 01.09.2025

Abstract

In this paper, a two-unit parallel system is considered subject to failure and repair in a multi-level environment. It is assumed that there are N levels of the environment. The failure time of any operating unit in the k−th level of the environment is exponentially distributed with parameter µk, k = 1, 2, · · · , N. There is a single repair facility. The system is in down-state when both units are in the repair facility. The down-state is designated as level 0 of the environment. The repairs are done under the ‘first-come-first serve’ policy. The repair time of a failed unit in the k−th level of the environment is exponentially distributed with parameter γk, k = 0, 1, 2, · · · , N. When the system is in level 0 of the environment, one failed unit is undergoing repair and the other failed unit is waiting for repair. Upon completion of the repair of the unit, the system is immediately switched to operate in r−th level of the environment with positive probability pr, r = 1, 2, · · · , N and the repair for the other failed unit immediately starts with rate γr. Using the techniques of renewal theory and Laplace transforms, transient state probability distribution, steady-state probability distribution, availability and reliability functions and mean down-time of the system are explicitly found. A numerical illustration is provided to highlight the system performance.

References

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  • Reference17 Pang, G., Sarantsev, A. and Suhov, Y., (2022), Birth and death processes in interactive random environments, Queueing Syst., 102, pp. 269-307.
  • Reference18 Paz, N. and Yechiali, U., (2014), An M/M/1 queue in random environment with disasters, Asia Pacific Journal of Operational Research, 31, DOI: 10.1142/S021759591450016X
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  • Reference22 Song, J. S. and Zipkin, P., (1993), Inventory control in fluctuating demand environment, Operations Research, 41(2), pp. 351-370.
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  • Reference26 Yadavalli, V. S. S. and C. de W. van Schoor, (2004), A Perishable Product Inventory System Operating in a Random Environment, South African Journal of Industrial Engineering, 15(2), pp. 107-131.

Year 2025, Volume: 15 Issue: 9, 2380 - 2397, 01.09.2025

Abstract

References

  • Reference1 Akshaya Ramesh, and Udayabaskaran, S., (2023), Performance Analysis of A Single Server Queue Operating in A Random Environment- A Novel Approach, Mathematics and Statistics, 11(2), 315-324.
  • Reference2 Akshaya Ramesh, and Udayabaskaran, S., (2023), A New Type of Single Server Queue Operating in A Multi-level Environment with Customer Impatience, Mathematics and Statistics, 11(4), pp. 654-660.
  • Reference3 Ammar, S. I., Jiang, T. and Ye, Q., (2020), Transient analysis of impatient customers in an M/M/1 disasters queue in random environment, Engineering Computations, 37(6), pp. 1945-1965.
  • Reference4 Assimakopoulos, N. A., (1999), Random environmental processes for complex computer systems: a theoretical approach, Adv. Complex Systems, 2, pp. 117-135.
  • Reference5 Barlow, R. E. and Proschan, F., (1975), Statistical theory of reliability and life testing: probability models, New York: Holt, Rinehart and Winston.
  • Reference6 Baxter, L. A. and Li, L., (1994), Lifelength in a random environment, Statistics & Probability Letters, 20(1), pp. 27-35.
  • Reference7 Birolini, A., (2017), Reliability Engineering: Theory and Practice, Eighth edition, Springer-Verlag.
  • Reference8 Cinlar, E. and ¨Ozekici, S., (1987), Reliability of complex devices in random environments, Probability in the Engineering and Informational Sciences, 1(1), pp. 97-115.
  • Reference9 Dong, Q. and Bai, M., (2024), Reliability analysis and preventive maintenance policy for consecutive k−out-of−n : F balanced system under failure criterion operating in shock environment, Quality and Reliability Engineering International: Vol. 40(7), pp. 3643-4130.
  • Reference10 Feldman, R. M., (1978), A continuous review (s, S) inventory system in a random environment, Journal of Applied Probability, 15(3), pp. 654-659.
  • Reference11 Gnedenko, B. V., Belyayev, Yu, K. and Solovyev, A. D., (1969), Mathematical Methods of Reliability Theory, English translation edited by R. E. Barlow, Academic Press, New York.
  • Reference12 Kalpakam, S. and Arivarignan, G., (1989), A lost sales inventory system in a random environment, Stochastic Analysis and Applications, 7(4), pp. 367-385.
  • Reference13 Lovas, A. and R´asonyi, M., (2021), Markov chains in random environment with applications in queuing theory and machine learning, Stochastic Processes and their Applications, 137, pp. 294-326
  • Reference14 Osaki, S. and Nakagawa, T., (1976), Bibliography for reliability and availability of stochastic systems, IEEE Transactions on Reliability, R-25(4), pp. 284-287.
  • Reference15 Ozekici, S., (1995), Optimal maintenance policies in random environments, European Journal of Operational Research, 82(2), pp. 283-294.
  • Reference16 Ozekici, S. and Parlar, M., (1999), Inventory models with unreliable suppliersin a random environment, Annals of Operations Research, 91, pp. 123-136.
  • Reference17 Pang, G., Sarantsev, A. and Suhov, Y., (2022), Birth and death processes in interactive random environments, Queueing Syst., 102, pp. 269-307.
  • Reference18 Paz, N. and Yechiali, U., (2014), An M/M/1 queue in random environment with disasters, Asia Pacific Journal of Operational Research, 31, DOI: 10.1142/S021759591450016X
  • Reference19 Ravichandran, N., (1990), Stochastic Methods in Reliability Theory, New Age International Private Limited, India.
  • Reference20 Sengupta B., (1990), A Queue with Service Interruptions in an alternating random environment, Operations Research, 38(2), pp. 308-318.
  • Reference21 Shaked, M. and Shanthikumar, J. G., (1989), Some replacement policies in a random environment, Probability in the Engineering and Informational Sciences, 3(1), pp. 117-134.
  • Reference22 Song, J. S. and Zipkin, P., (1993), Inventory control in fluctuating demand environment, Operations Research, 41(2), pp. 351-370.
  • Reference23 Srinivasan, S. K. and Subramanian, R., (1980), Probabilistic Analysis of Redundant Systems, Lecture Notes in Economics and Mathematical Systems, Springer-Verlag, Berlin, Heidelberg.
  • Reference24 Udayabaskaran, S. and Dora Pravina, C. T., (2014), Transient analysis of an M/M/1 queue in a random medium subject to disasters, Far East Journal of Mathematical Sciences, 91(2), pp. 157-167.
  • Reference25 Wei, Y. and Liu, S., (2023), Reliability analysis of series and parallel systems with heterogeneous components under random shock environment, Computers & Industrial Engineering, Vol. 179, May 2023, 109214.
  • Reference26 Yadavalli, V. S. S. and C. de W. van Schoor, (2004), A Perishable Product Inventory System Operating in a Random Environment, South African Journal of Industrial Engineering, 15(2), pp. 107-131.
There are 26 citations in total.

Details

Primary Language English
Subjects Probability Theory, Stochastic Analysis and Modelling
Journal Section Research Articles
Authors

Sankaralingam Hemanth Kumar This is me

Swaminathan Udayabaskaran This is me

B Thilaka 0000-0002-0684-1607

Publication Date September 1, 2025
Submission Date August 30, 2024
Acceptance Date June 17, 2025
Published in Issue Year 2025 Volume: 15 Issue: 9

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