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Research Article

Optimization of retrial queue with unreliable servers subject to imperfect coverage and reboot delay

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Pages 428-453 | Accepted 16 Dec 2021, Published online: 17 Jan 2022

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Read on this site (5)

B. Krishna Kumar, R. Navaneetha Krishnan, R. Sankar & R. Rukmani. (2023) Performance analysis of cognitive wireless retrial queueing networks with admission control for secondary users. Quality Technology & Quantitative Management 20:5, pages 633-670.
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Kuo-Hsiung Wang, Chia-Huang Wu & Tseng-Chang Yen. (2023) Reliability analysis of redundant retrial machining system subject to standby switching failure. Quality Technology & Quantitative Management 20:5, pages 561-576.
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Kamlesh Kumar, Madhu Jain & Chandra Shekhar. (2023) Machine repair system with threshold recovery policy, unreliable servers and phase repairs. Quality Technology & Quantitative Management 0:0, pages 1-24.
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C. C. Kuo, K. Huang, J. C. Ke, T. H. Liu & S. H. Sheu. (2023) Modelling and optimisation for a retrial queue with imperfect coverage and reboot delay. Journal of Control and Decision 0:0, pages 1-8.
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A.N. Dudin, S.R. Chakravarthy, S.A. Dudin & O.S. Dudina. (2023) Queueing system with server breakdowns and individual customer abandonment. Quality Technology & Quantitative Management 0:0, pages 1-20.
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Articles from other publishers (1)

Anjali Ahuja & Anamika Jain. (2022) Fuzzy analysis of a queueing system featuring an unreliable service provider and geometric arrivals by incorporating constant retrial policy and delayed threshold recovery. Journal of Ambient Intelligence and Humanized Computing 14:6, pages 7499-7518.
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