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Do we need simulation optimisation for queueing allocation problems?

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published

Standard

Do we need simulation optimisation for queueing allocation problems? / Rhodes-Leader, Luke; Lin, Yu-Ting.
Proceedings of the 12th Operational Research Society Simulation Workshop (SW25). ed. / Alison Harper; Martino Luis; Tom Monks; Navonil Mustafee. Birmingham: Operational Research Society, 2025. p. 239-248.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Rhodes-Leader, L & Lin, Y-T 2025, Do we need simulation optimisation for queueing allocation problems? in A Harper, M Luis, T Monks & N Mustafee (eds), Proceedings of the 12th Operational Research Society Simulation Workshop (SW25). Operational Research Society, Birmingham, pp. 239-248. https://doi.org/10.36819/SW25.028

APA

Rhodes-Leader, L., & Lin, Y.-T. (2025). Do we need simulation optimisation for queueing allocation problems? In A. Harper, M. Luis, T. Monks, & N. Mustafee (Eds.), Proceedings of the 12th Operational Research Society Simulation Workshop (SW25) (pp. 239-248). Operational Research Society. https://doi.org/10.36819/SW25.028

Vancouver

Rhodes-Leader L, Lin YT. Do we need simulation optimisation for queueing allocation problems? In Harper A, Luis M, Monks T, Mustafee N, editors, Proceedings of the 12th Operational Research Society Simulation Workshop (SW25). Birmingham: Operational Research Society. 2025. p. 239-248 doi: 10.36819/SW25.028

Author

Rhodes-Leader, Luke ; Lin, Yu-Ting. / Do we need simulation optimisation for queueing allocation problems?. Proceedings of the 12th Operational Research Society Simulation Workshop (SW25). editor / Alison Harper ; Martino Luis ; Tom Monks ; Navonil Mustafee. Birmingham : Operational Research Society, 2025. pp. 239-248

Bibtex

@inproceedings{76da08d23d964951b083774659df2729,
title = "Do we need simulation optimisation for queueing allocation problems?",
abstract = "As computational resources get cheaper and more convenient, largely through cloud technologies, the general trend is to solve larger simulation optimisation problems with more complex/realistic simulation models, sometimes in an exhaustive manner. This is despite the need for the computing sector and thus the simulation sector to reduce its carbon emissions. This paper advocates for using simpler models to aid the optimisation, particularly in queueing network problems, where many analytical models have been developed and system behaviours can make simulation optimisation more difficult. We focus on Jackson Networks for multi-fidelity optimisation of a server allocation problem, and set up a series of experiments to examine how well these models can aid simulation optimisation.",
author = "Luke Rhodes-Leader and Yu-Ting Lin",
year = "2025",
month = apr,
day = "3",
doi = "10.36819/SW25.028",
language = "English",
pages = "239--248",
editor = "Alison Harper and Martino Luis and Tom Monks and Navonil Mustafee",
booktitle = "Proceedings of the 12th Operational Research Society Simulation Workshop (SW25)",
publisher = "Operational Research Society",

}

RIS

TY - GEN

T1 - Do we need simulation optimisation for queueing allocation problems?

AU - Rhodes-Leader, Luke

AU - Lin, Yu-Ting

PY - 2025/4/3

Y1 - 2025/4/3

N2 - As computational resources get cheaper and more convenient, largely through cloud technologies, the general trend is to solve larger simulation optimisation problems with more complex/realistic simulation models, sometimes in an exhaustive manner. This is despite the need for the computing sector and thus the simulation sector to reduce its carbon emissions. This paper advocates for using simpler models to aid the optimisation, particularly in queueing network problems, where many analytical models have been developed and system behaviours can make simulation optimisation more difficult. We focus on Jackson Networks for multi-fidelity optimisation of a server allocation problem, and set up a series of experiments to examine how well these models can aid simulation optimisation.

AB - As computational resources get cheaper and more convenient, largely through cloud technologies, the general trend is to solve larger simulation optimisation problems with more complex/realistic simulation models, sometimes in an exhaustive manner. This is despite the need for the computing sector and thus the simulation sector to reduce its carbon emissions. This paper advocates for using simpler models to aid the optimisation, particularly in queueing network problems, where many analytical models have been developed and system behaviours can make simulation optimisation more difficult. We focus on Jackson Networks for multi-fidelity optimisation of a server allocation problem, and set up a series of experiments to examine how well these models can aid simulation optimisation.

U2 - 10.36819/SW25.028

DO - 10.36819/SW25.028

M3 - Conference contribution/Paper

SP - 239

EP - 248

BT - Proceedings of the 12th Operational Research Society Simulation Workshop (SW25)

A2 - Harper, Alison

A2 - Luis, Martino

A2 - Monks, Tom

A2 - Mustafee, Navonil

PB - Operational Research Society

CY - Birmingham

ER -