S
S. K. Samanta
Researcher at National Institute of Technology, Raipur
Publications - 52
Citations - 418
S. K. Samanta is an academic researcher from National Institute of Technology, Raipur. The author has contributed to research in topics: Queueing theory & Queue. The author has an hindex of 13, co-authored 49 publications receiving 380 citations. Previous affiliations of S. K. Samanta include University of Avignon & Technical University of Lisbon.
Papers
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Discrete-time bulk-service queues with accessible and non-accessible batches
TL;DR: This paper analyzes a discrete-time single-server infinite- (finite-) buffer bulk-service queues that serves customers in accessible or non-accessible batches in independent and geometrically distributed fashion.
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Discrete-time GeoX/G(a,b)/1/N queues with single and multiple vacations
TL;DR: This paper considers a discrete-time single-server finite-buffer batch arrival queue in which customers are served in batches according to a general bulk-service rule, that is, at least 'a' customers are needed to start a service with a maximum serving capacity of 'b' customers.
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Analyzing discrete-time D-BMAP/G/1/N queue with single and multiple vacations
TL;DR: The state probabilities at service completion, vacation termination, arbitrary, and prearrival epochs, the loss probabilities of the first-, an arbitrary- and the last-customer in a batch, and other performance measures along with numerical aspects have been discussed.
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A continuous review ( s , Q ) inventory system with priority customers and arbitrarily distributed lead times
TL;DR: This article analyzes a lost sales (s,Q) inventory system with two types of customers and stochastic lead times and provides numerical examples where differentiation between customers yield lower cost and lower shortage rates for both type of customers.
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Discrete-time single-server finite-buffer queues under discrete Markovian arrival process with vacations
TL;DR: The analysis of actual waiting time under the first-come-first-served discipline is carried out and the queue-length distributions at departure, service completion, vacation termination, arbitrary and prearrival epochs are obtained.