Results 11 to 20 of about 672 (207)
An improved variant of the rare event simulation method RESTART using prolonged retrials
Operations Research Perspectives, 2019 RESTART is a widely applicable accelerated simulation technique that allows the evaluation of extremely low probabilities. In this method a number of retrials (or paths) are made when the process reaches certain thresholds of a function of the system ...
José Villén-Altamirano
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Vacation and Polling Models with Retrials [PDF]
, 2014 We study a vacation-type queueing model, and a single-server multi-queue polling model, with the special feature of retrials. Just before the server arrives at a station there is some deterministic glue period. Customers (both new arrivals and retrials) arriving at the station during this glue period will be served during the visit of the server ...
Boxma, O.J., Resing, J.A.C.
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Dynamic Physician Rostering in Emergency Departments: Managing Reentrant Patient Flows to Meet Excess Wait Time Targets. [PDF]
Health Care SciWe develop a patient flow model that integrates return loops and formulate a risk‐aware physician rostering framework designed to strictly enforce excess wait time targets, for example, tail probability of delay (TPoD) service levels. We employ a simulation‐based iterative staffing approach (ISA) to determine the optimal number of physicians required ...
Dai X, Gao P, Xie X.
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Replicating RESTART with Prolonged Retrials: An Experimental Report [PDF]
, 2021 Statistical model checking uses Monte Carlo simulation to analyse stochastic formal models. It avoids state space explosion, but requires rare event simulation techniques to efficiently estimate very low probabilities.
Budde, Carlos E. +3 more
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Stability of retrial queues with versatile retrial policy [PDF]
International Journal of Stochastic Analysis, 2006 We consider in this paper the stability of retrial queues with a versatile retrial policy. We obtain sufficient conditions for the stability by the strong coupling convergence to a stationary ergodic regime for various models of retrial queues including a model with two types of customers, a model with breakdowns of the server, a model with negative ...
Kernane, Tewfik, Aïssani, Amar
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Stability condition of multiclass classical retrials: a revised regenerative proof [PDF]
, 2022 We consider a multiclass retrial system with classical retrials, and present a new short proof of the sufficient stability (positive recurrence) condition of the system.
Morozov, Evsey, Rogozin, Stepan
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Multi-sensor comparison of aerosol optical properties profiles observed during a pollution episode in a mega city of the North China Plain [PDF]
E3S Web of Conferences, 2020 A fine aerosol particle pollution episode happened in mega city Beijing during February 25th – March 5th. Aerosol extinction coefficient profiles were observed at 7 L idar s ta ti ons.
Gao Lina +6 more
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Journal of Trial and Error, 2023 Rapid technological development allows for ever new opportunities to nudge individuals' behavior and knowledge digitally. The Gloria Adherence Subproject by Horne et al.
David Grüning
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Retrial queues with constant retrial times
Queueing Systems, 2022 The paper under review studies a single server queueing system without buffer. Customers arrive in the queue according to a Poisson process with rate \(\lambda\) and immediately receive the service, if the server is available. If the server is busy, the customer joins the orbit and retries after a deterministic time \(S\).
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A survey on retrial queues [PDF]
Queueing Systems, 1987 A systematized survey of the analytic results for retrival queues is given by discussing a generalized model A/B/s/m/O/H. Here, A and B describe the interarrival and service time distribution, respectively, s denotes the number of waiting positions in the queue, O is the capacity of an orbit for the retrying customers and \(H=\{H_ k\), \(k\geq 0 ...
Tao Yang, James G. C. Templeton
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