A Simulation Tool for Exploring Ammunition Stockpile Dynamics

Jean-Denis Caron, Robert Bryce, Chad Young

2023

Abstract

The Canadian Armed Forces (CAF) uses ammunition of various types for both training and operations. We introduce a Discrete-Event Simulation (DES) model, named Future Event Ammunition Stockpile Tool (FEAST), to explore issues regarding anticipated stockpile drawdown and resupply. Schedules for military training and operations and associated ammunition demands are stochastically defined as inputs to FEAST, as are budgets, various reorder policies and other inventory management parameters. Outputs of FEAST enable statistical characterization of various performance attributes, including anticipated fulfillment of demands and costs over time. FEAST is designed to be flexibly used by practitioners to answer “what if” type questions. This paper provides an overview of FEAST and illustrates a simplified scenario where a single nature of ammunition is required to simultaneously fulfill demands from several training types and military missions, for which several resupply options are to be explored.

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Paper Citation


in Harvard Style

Caron J., Bryce R. and Young C. (2023). A Simulation Tool for Exploring Ammunition Stockpile Dynamics. In Proceedings of the 12th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES, ISBN 978-989-758-627-9, SciTePress, pages 38-49. DOI: 10.5220/0011620800003396


in Bibtex Style

@conference{icores23,
author={Jean-Denis Caron and Robert Bryce and Chad Young},
title={A Simulation Tool for Exploring Ammunition Stockpile Dynamics},
booktitle={Proceedings of the 12th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,},
year={2023},
pages={38-49},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011620800003396},
isbn={978-989-758-627-9},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,
TI - A Simulation Tool for Exploring Ammunition Stockpile Dynamics
SN - 978-989-758-627-9
AU - Caron J.
AU - Bryce R.
AU - Young C.
PY - 2023
SP - 38
EP - 49
DO - 10.5220/0011620800003396
PB - SciTePress