A general solution for multichannel queueing systems with ordered entry
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Cited by (10)
Analysis of GI/M/n/n queueing system with ordered entry and no waiting line
2014, Applied Mathematical ModellingCitation Excerpt :Singh [17] obtained the steady-state probabilities, the mean number of customers waiting in the queue, and the mean waiting time in the system for the queuing model with infinite waiting line and three heterogeneous servers. Lin and Elsayed [18] developed a computer program to solve multi-channel Markovian ordered entry queuing system with heterogeneous servers and storage. Fakinos [19] presented a generalization of Erlang loss formula for the case of non-identical servers.
A parallel priority queueing system with finite buffers
2006, Journal of Parallel and Distributed ComputingMultichannel queueing systems with ordered entry and finite source
1983, Computers and Operations ResearchNumerical investigation of queue with heteregeneous servers and randomized N-policy
2020, Vestnik Tomskogo Gosudarstvennogo Universiteta - Upravlenie, Vychislitel'naya Tekhnika i InformatikaApproximate Analysis of the Queuing System with Heterogeneous Servers and N-Policy
2020, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)Analyzing the Models of Systems with Heterogeneous Servers
2020, Cybernetics and Systems Analysis
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Dr. Benjamin W. Lin is an Assistant Professor of Mechanical, Industrial and Aerospace Engineering at Rutgers University. He received a B.S. in Mechanical Engineering from National Taiwan University, an M.S. in Applied Mathematics from SUNY at Stony Brook, and a Ph.D. in Industrial Engineering from Georgia Institute of Technology. Dr. Lin is a registered professional engineer in New Jersey and Florida. His research interests are in the area of mathematical programming and queueing theory.
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Dr. E. A. Elsayed is currently an Assistant Professor in the Department of Mechanical, Industrial and Aerospace Engineering, Rutgers University. Previously he taught at the University of Utah and at Cairo University, Egypt. He received his Ph.D. in Industrial Engineering and Operations Research from the University of Windsor, Canada. His research interests are in the area of production planning and control and stochastic processes. He is a member of AIIE, ASME, ASEE, ASQC and Sigma Xi.