A Discrete Event Simulation Tool for Conducting a Fleet Mix Study

Mikayla Holmes, Lise Arseneau

2025

Abstract

A fleet mix study is currently being undertaken by the Royal Canadian Navy (RCN) to determine the optimal composition of its future fleet to meet operational requirements. We introduce a Discrete Event Simulation (DES) model developed within the Operational Research Integrated Graphical Analysis and Modelling Environment (ORIGAME), called the ORIGAME Fleet Capacity Evaluation Tool (OFCET) that will be used to examine how well a proposed future fleet (number and types of naval platforms) meets the desired operational requirements to fulfill the Navy’s mandate. This paper describes the OFCET in terms of inputs, outputs and assumptions and presents a case study with notional data to demonstrate how the tool can be used as part of a fleet mix analysis to answer “what if” type questions. Furthermore, extensions of OFCET and other problems that can be solved using this model will be provided.

Paper Citation

in Harvard Style

Holmes M. and Arseneau L. (2025). A Discrete Event Simulation Tool for Conducting a Fleet Mix Study. In Proceedings of the 14th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES; ISBN 978-989-758-732-0, SciTePress, pages 207-214. DOI: 10.5220/0013090100003893

in Bibtex Style

@conference{icores25,
author={Mikayla Holmes and Lise Arseneau},
title={A Discrete Event Simulation Tool for Conducting a Fleet Mix Study},
booktitle={Proceedings of the 14th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES},
year={2025},
pages={207-214},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013090100003893},
isbn={978-989-758-732-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES
TI - A Discrete Event Simulation Tool for Conducting a Fleet Mix Study
SN - 978-989-758-732-0
AU - Holmes M.
AU - Arseneau L.
PY - 2025
SP - 207
EP - 214
DO - 10.5220/0013090100003893
PB - SciTePress