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Operational research. Game theory --- Queueing theory --- Tables --- Graphic methods --- 519.872 --- Queuing theory --- -Queuing theory --- -Erlang traffic formula --- Theory of queues --- Waiting-line theory --- Production scheduling --- Stochastic processes --- Queuing theory. Service systems. Numerical simulation --- -Queuing theory. Service systems. Numerical simulation --- 519.872 Queuing theory. Service systems. Numerical simulation --- -519.872 Queuing theory. Service systems. Numerical simulation --- Erlang traffic formula --- Tables. --- Graphic methods.
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Operational research. Game theory --- 519.217 --- 519.872 --- #KVIV:BB --- 518.5 --- Markov processes --- Queuing theory. Service systems. Numerical simulation --- Operationeel onderzoek. Speltheorie --- 519.872 Queuing theory. Service systems. Numerical simulation --- 519.217 Markov processes
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Queuing theory. --- 519.872 --- Queuing theory --- Erlang traffic formula --- Queueing theory --- Theory of queues --- Waiting-line theory --- Production scheduling --- Stochastic processes --- Queuing theory. Service systems. Numerical simulation --- 519.872 Queuing theory. Service systems. Numerical simulation
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Queuing theory --- #TELE:SISTA --- 519.872 --- Erlang traffic formula --- Queueing theory --- Theory of queues --- Waiting-line theory --- Production scheduling --- Stochastic processes --- 519.872 Queuing theory. Service systems. Numerical simulation --- Queuing theory. Service systems. Numerical simulation
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Stochastic processes --- Queueing Theory --- 519.872 --- Queuing theory --- Erlang traffic formula --- Queueing theory --- Theory of queues --- Waiting-line theory --- Production scheduling --- Queuing theory. Service systems. Numerical simulation --- Queuing theory. --- 519.872 Queuing theory. Service systems. Numerical simulation --- Probabilités. --- Probabilities --- Probabilities. --- Probabilités --- Files d'attente
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For many stochastic service systems, service capacities large enough to serve some given customer demand is achieved simply by providing multiple servers of low capacity; for example, toll plazas have many toll collectors, banks have many t- lers, bus lines have many buses, etc. If queueing exists and the typical queue size is large compared with the number n of servers, all servers are kept busy most of the time and the service behaves like some "effective" single server wit:l mean se.- vice time lin times that of an actual server. The behavior of the queueing system can be described, at least approximately, by use of known results from the much studied single-channel queueing system. For n» 1 , however, (we are thinking p- ticularlyof cases in which n ~ 10), the system may be rather congested and quite sensitive to variations in demand even when the average queue is small compared with n. The behavior of such a system will, generally, differ quite significantly from any "equivalent" single-server system. The following study deals with what, in the customary classification of queueing systems, is called the G/G/n system; n servers in parallel with independent s- vice times serving a fairly general type of customer arrival process. rhe arrival rate of customers may be time-dependent; particular attention is given to time - pendence typical of a "rush hour" in which the arrival rate has a single maximum possibly exceeding the capacity of the service.
Stochastic processes --- Queuing theory --- Business & Economics --- Economic Theory --- 519.872 --- 519.87 --- Queuing theory. Service systems. Numerical simulation --- Mathematical models for operational research --- 519.87 Mathematical models for operational research --- 519.872 Queuing theory. Service systems. Numerical simulation --- Files d'attente, Théorie des --- Queueing theory --- Files d'attente
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On May 10-12, 1973 a Conference on Mathematical Methods in Graph Theory was held at Western Michigan University in Kalamazoo. The theme of this Conference was recent advances in the application of analytic and algebraic methods to the analysis of queues and queueing networks. In addition some discussion was given to statistical analy ses in queues, control problems and graphical methods. A total of 83 individuals from both industry and academic estab lishments participated in the Conference. A list of these partici pants can be found on page 373. A total of 18 papers were presented, with sUbstantial time being devoted to their informal discussion. This volume constitutes the proceedings of the Conference, and includes all papers presented. TABLE OF CONTENTS MARCEL F. NEUTS The Markov Renewal Branching Process • 1 RALPH L. DISNEY and W. PETER CHERRY Some Topics in Queueing Network Theory 23 JULIAN KEILSON Convexity and Complete Monotonicity in Queueing Distributions and Associated Limit Behavior . • • • • • . . • • • •• • • 45 G. F. NEWELL Graphical Representation of Queue Evolution for Multiple-Server Systems • . • • • • • • • • • • 63 N. U. PRABHU Wiener-Hopf Techniques in Queueing Theory 81 / IAJOS TAKACS Occupation Time Problems in the Theory of Queues 91 TAPAN P. BAGCHI and J. G. C. TEMPLETON Some Finite waiting Space Bulk Queueing Systems 133 U.
Stochastic processes --- Queuing theory --- congresses --- 519.872 --- Queuing theory. Service systems. Numerical simulation --- Mathematics --- Physical Sciences & Mathematics --- Mathematical Theory --- 519.872 Queuing theory. Service systems. Numerical simulation --- Files d'attente, Théorie des --- Congresses --- Congrès --- Files d'attente, Théorie des --- Congrès --- Recherche opérationnelle --- Congresses. --- Queuing theory - congresses --- Queueing theory
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Queuing theory --- Files d'attente, Théorie des --- Queueing theory --- 519.872 --- Erlang traffic formula --- Theory of queues --- Waiting-line theory --- Production scheduling --- Stochastic processes --- Queuing theory. Service systems. Numerical simulation --- 519.872 Queuing theory. Service systems. Numerical simulation --- Files d'attente, Théorie des
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