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Impact of service policies on terminal gate efficiency : a simulation approach

Chamchang, Panida; Niyomdecha, Hussen - In: Cogent business & management 8 (2021) 1, pp. 1-18

simulation model was developed to analyze the queueing performance: truck queue length and gate waiting time. Scenarios analysis … simulation results confirm that a gate-sharing policy can alleviate congestion at a certain truck arrival rate. The method of …

Persistent link: https://www.econbiz.de/10012627893

Queuing safely for elevator systems amidst a pandemic

Ananthanarayanan, Sai Mali; Branas, Charles C.; … - In: Production and operations management : the flagship … 31 (2022) 5, pp. 2306-2323

Persistent link: https://www.econbiz.de/10013277041

A closed queueing networks approach for an optimal heterogeneous fleet size of an inter-facility bulk material transfer system

Amjath, Mohamed; Kerbache, Laoucine; Smith, James MacGregor - In: Logistics 8 (2024) 1, pp. 1-38

, is employed to overcome this challenge. Validation is conducted using a discrete event simulation (DES) model. Results … response times compared to the simulation method. Furthermore, evaluating performance metrics, encompassing response time …, utilisation rate, and cycle time, revealed minimal discrepancies between the analytical and the simulation results, approximately …

Persistent link: https://www.econbiz.de/10014506706

Outpatient clinic scheduling with limited waiting area capacity

Otten, Maarten; Dijkstra, Sander; Leeftink, Gréanne; … - In: Journal of the Operational Research Society 74 (2023) 2, pp. 540-561

Persistent link: https://www.econbiz.de/10014317583

Setting wait time targets in a multi-priority patient setting

Babashov, Vusal; Sauré, Antoine; Ozturk, Onur; … - In: Production and operations management : the flagship … 32 (2023) 6, pp. 1958-1974

Persistent link: https://www.econbiz.de/10014328523

Minimizing Congestion in Single-Source, Single-Sink Queueing Networks

Ying, Fabian; Wallis, Alisdair; Porter, Mason; Howison, Sam - 2021

We study queueing networks with a single source and a single sink. We assume that walkers traverse a network according to an unbiased random walk, and we analyze how network topology affects the total mean queue size $Q$, which we use to measure congestion. We examine network topologies that...

Persistent link: https://www.econbiz.de/10013313927

Emergent hypercongestion in Vickrey bottleneck networks

Frascaria, Dario; Olver, Neil; Verhoef, Erik T. - 2020

Hypercongestion - the phenomenon that higher traffic densities can reduce throughput - is well understood at the link level, but has also been observed in a macroscopic form at the level of traffic networks; for instance, in morning rush-hour traffic into a downtown core. In this paper, we show...

Persistent link: https://www.econbiz.de/10012149829

Dynamic relocations in car-sharing networks

Hosseini, Mahsa; Milner, Joseph; Romero, Gonzalo - 2021

We propose a novel dynamic car relocation policy for a car-sharing network with centralized control and uncertain, unbalanced demand. The policy is derived from a reformulation of the linear programming fluid model approximation of the dynamic problem. We project the full-dimensional fluid...

Persistent link: https://www.econbiz.de/10012504391

Self-Interested Routing in Queuing Networks

Kumar, Sunil; Parlakturk, Ali K. - 2004

We study self-interested routing in stochastic networks, taking into account the discrete stochastic dynamics of such networks. We analyze a two station multiclass queueing network in which the system manager chooses the scheduling rule used, and individual customers choose routes in a...

Persistent link: https://www.econbiz.de/10014029128

Self-Interested Routing in Queuing Networks

Kumar, Sunil; Parlakturk, Ali K. - 2012

Persistent link: https://www.econbiz.de/10014029444

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