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Random search algorithms for redundancy allocation problem of a queuing system with maintenance considerations

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  • Sabri-Laghaie, Kamyar
  • Karimi-Nasab, Mehdi

Abstract

The Redundancy Allocation Problem (RAP) is becoming all the time more important in system reliability design. Therefore, RAP has been studied vastly for different systems and under various assumptions. One of the important systems that RAP can be applied to them is queuing systems. In many applications, reliability of queuing systems need to be improved with regard to some queuing and reliability cost constraints. Despite the importance of queuing systems in real world situations, RAP of these systems have not gained attention in the literature. Therefore, RAP of a queuing system with maintenance considerations and including queueing costs in the modeling of RAP is considered in this paper. To find optimal solutions of the problem, four random search algorithms are developed and compared based on the problem structures. According to the experiments, for unimodal solution spaces algorithms 1 and 2 and for multimodal solution spaces algorithms 3 and 4 are recommended.

Suggested Citation

  • Sabri-Laghaie, Kamyar & Karimi-Nasab, Mehdi, 2019. "Random search algorithms for redundancy allocation problem of a queuing system with maintenance considerations," Reliability Engineering and System Safety, Elsevier, vol. 185(C), pages 144-162.
  • Handle: RePEc:eee:reensy:v:185:y:2019:i:c:p:144-162
    DOI: 10.1016/j.ress.2018.12.010
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    References listed on IDEAS

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    1. Yalaoui, Alice & Chu, Chengbin & Châtelet, Eric, 2005. "Reliability allocation problem in a series–parallel system," Reliability Engineering and System Safety, Elsevier, vol. 90(1), pages 55-61.
    2. Chambari, Amirhossain & Najafi, Amir Abbas & Rahmati, Seyed Habib A. & Karimi, Aida, 2013. "An efficient simulated annealing algorithm for the redundancy allocation problem with a choice of redundancy strategies," Reliability Engineering and System Safety, Elsevier, vol. 119(C), pages 158-164.
    3. Samira Taleb & Amar Aissani, 2016. "Preventive maintenance in an unreliable M/G/1 retrial queue with persistent and impatient customers," Annals of Operations Research, Springer, vol. 247(1), pages 291-317, December.
    4. Tavakkoli-Moghaddam, R. & Safari, J. & Sassani, F., 2008. "Reliability optimization of series-parallel systems with a choice of redundancy strategies using a genetic algorithm," Reliability Engineering and System Safety, Elsevier, vol. 93(4), pages 550-556.
    5. Attar, Ahmad & Raissi, Sadigh & Khalili-Damghani, Kaveh, 2017. "A simulation-based optimization approach for free distributed repairable multi-state availability-redundancy allocation problems," Reliability Engineering and System Safety, Elsevier, vol. 157(C), pages 177-191.
    6. B. Krishna Kumar & S. Anbarasu & S.R. Anantha Lakshmi, 2015. "Performance analysis for queueing systems with close down periods and server under maintenance," International Journal of Systems Science, Taylor & Francis Journals, vol. 46(1), pages 88-110, January.
    7. Ha, Chunghun & Kuo, Way, 2006. "Reliability redundancy allocation: An improved realization for nonconvex nonlinear programming problems," European Journal of Operational Research, Elsevier, vol. 171(1), pages 24-38, May.
    8. Savsar, Mehmet & Aldaihani, Majid, 2008. "Modeling of machine failures in a flexible manufacturing cell with two machines served by a robot," Reliability Engineering and System Safety, Elsevier, vol. 93(10), pages 1551-1562.
    9. Chang, Kuo-Hao & Kuo, Po-Yi, 2018. "An efficient simulation optimization method for the generalized redundancy allocation problem," European Journal of Operational Research, Elsevier, vol. 265(3), pages 1094-1101.
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    Cited by:

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    2. Tian, Yuan & Han, Minghao & Kulkarni, Chetan & Fink, Olga, 2022. "A prescriptive Dirichlet power allocation policy with deep reinforcement learning," Reliability Engineering and System Safety, Elsevier, vol. 224(C).

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