A queueing system with random additional service facility
K. Bidhi Singh (1978)
RAIRO - Operations Research - Recherche Opérationnelle
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Displaying similar documents to “An approximate analysis of the D/M/1 queue with deterministic customer impatience”
A queueing system with random additional service facility
Queue dependent additional server queueing problem with batch arrivals
R. L. Garg, S. K. Khanna (1983)
RAIRO - Operations Research - Recherche Opérationnelle
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Joint distribution of the number of customers in the queue and the number of batches served at time within a busy period
A. Borthakur (1981)
RAIRO - Operations Research - Recherche Opérationnelle
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An intermittant MI system with multiphased capacity of the service channel
R. S. Gaur (1973)
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Ernest Koenigsberg (1985)
RAIRO - Operations Research - Recherche Opérationnelle
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Analysis of a bulk queue with unreliable server and single vacation.
Haridass, M., Arumuganathan, R. (2008)
International Journal of Open Problems in Computer Science and Mathematics. IJOPCM
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Application of Neuts' method to bulk queueing models with vacations
S. K. Matendo (1995)
RAIRO - Operations Research - Recherche Opérationnelle
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H. G. Perros (1981)
RAIRO - Operations Research - Recherche Opérationnelle
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A fixed-size batch service queue with vacations.
Lee, Ho Woo, Lee, Soon Seok, Chae, K.C. (1996)
Journal of Applied Mathematics and Stochastic Analysis
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George P. Cosmetatos (1977)
RAIRO - Operations Research - Recherche Opérationnelle
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Performance analysis of single server non-markovian retrial queue with working vacation and constant retrial policy
V. Jailaxmi, R. Arumuganathan, M. Senthil Kumar (2014)
RAIRO - Operations Research - Recherche Opérationnelle
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This paper analyses an M/G/1 retrial queue with working vacation and constant retrial policy. As soon as the system becomes empty, the server begins a working vacation. The server works with different service rates rather than completely stopping service during a vacation. We construct the mathematical model and derive the steady-state queue distribution of number of customer in the retrial group. The effects of various performance measures are derived.