Vasanta Kumar Vemuri - Academia.edu (original) (raw)

Vasanta Kumar  Vemuri

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Papers by Vasanta Kumar Vemuri

Research paper thumbnail of Optimal Control Policy for a Two-Phase M/M/1 Unreliable Gated Queue under N-Policy with a Fuzzy Environment

Ingénierie des systèmes d information

The two-phase service models analyzed by several authors considered only the probabilistic nature... more The two-phase service models analyzed by several authors considered only the probabilistic nature of the queue parameters with fixed cost elements. But the queue parameters and cost elements will be in general are of both possibilistic and probabilistic in nature. Analyzing the performance of the queueing systems with fuzzy environment facilitates to investigate for the possibilistic interval estimates to the performance measures of a queueing system rather than point estimates. In this work, it is proposed to construct membership function of the fuzzy cost function to obtain confidence estimates for some performance measures of a controllable two-phase service single server Markovian gated queue with server startups and breakdowns under N-policy in which the queue parameters viz. arrival rate, startup rate, batch service rate, individual service rate, repair rate and cost elements are all defined as fuzzy numbers. Based on Zadeh’s extension principle and the α-cuts, a set of parame...

Research paper thumbnail of Cost analysis of a two-phase M X /E K /1 queueing system with N-policy

Research paper thumbnail of Optimal Strategy Analysis of an N-Policy Two-Phase M/Ek/1 Queueing System with Server Breakdowns and Gating

Applied Mathematical …, 2010

Two-phase M/E k /1 queueing system with N-policy for exhaustive batch service with gating, and se... more Two-phase M/E k /1 queueing system with N-policy for exhaustive batch service with gating, and server startups and breakdowns is studied in this paper. The customers arrive individually according to a Poisson process and waiting customers receive batch service all at a time in the first phase and are served individually in the second phase. The server is turned off each time the system empties, as and when the queue length reaches or exceeds

Research paper thumbnail of Optimal Control Policy for a Two-Phase M/M/1 Unreliable Gated Queue under N-Policy with a Fuzzy Environment

Ingénierie des systèmes d information

The two-phase service models analyzed by several authors considered only the probabilistic nature... more The two-phase service models analyzed by several authors considered only the probabilistic nature of the queue parameters with fixed cost elements. But the queue parameters and cost elements will be in general are of both possibilistic and probabilistic in nature. Analyzing the performance of the queueing systems with fuzzy environment facilitates to investigate for the possibilistic interval estimates to the performance measures of a queueing system rather than point estimates. In this work, it is proposed to construct membership function of the fuzzy cost function to obtain confidence estimates for some performance measures of a controllable two-phase service single server Markovian gated queue with server startups and breakdowns under N-policy in which the queue parameters viz. arrival rate, startup rate, batch service rate, individual service rate, repair rate and cost elements are all defined as fuzzy numbers. Based on Zadeh’s extension principle and the α-cuts, a set of parame...

Research paper thumbnail of Cost analysis of a two-phase M X /E K /1 queueing system with N-policy

Research paper thumbnail of Optimal Strategy Analysis of an N-Policy Two-Phase M/Ek/1 Queueing System with Server Breakdowns and Gating

Applied Mathematical …, 2010

Two-phase M/E k /1 queueing system with N-policy for exhaustive batch service with gating, and se... more Two-phase M/E k /1 queueing system with N-policy for exhaustive batch service with gating, and server startups and breakdowns is studied in this paper. The customers arrive individually according to a Poisson process and waiting customers receive batch service all at a time in the first phase and are served individually in the second phase. The server is turned off each time the system empties, as and when the queue length reaches or exceeds

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