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Author: Robert Bryce

Affiliation: Defence Research and Development Canada (DRDC) – Centre for Operational Research and Analysis (CORA), 60 Moodie Drive, Ottawa, ON, K1A 0K2, Canada

Keyword(s): Stochastic Process, Military Operations, Scheduling.

Abstract: We discuss extending Poisson point processes to finite interval processes, in the context of simulating military operations over time. Conceptually the extension is simple, points are extended to finite duration of length equal to the operations’ duration. We discuss effects of finite duration, namely lowering of set frequencies (and therefore artificially reduced expected demand) due to the extension of points to intervals—and its correction. The Canadian Armed Forces (CAF) has a Force Structure Readiness Assessment (FSRA+) Monte Carlo simulation tool that implements a finite interval process, and the results here offer insight on the approach.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Bryce, R. (2024). Finite Interval Processes: Simulating Military Operations. In Proceedings of the 13th International Conference on Operations Research and Enterprise Systems - ICORES; ISBN 978-989-758-681-1; ISSN 2184-4372, SciTePress, pages 356-363. DOI: 10.5220/0012424700003639

@conference{icores24,
author={Robert Bryce.},
title={Finite Interval Processes: Simulating Military Operations},
booktitle={Proceedings of the 13th International Conference on Operations Research and Enterprise Systems - ICORES},
year={2024},
pages={356-363},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012424700003639},
isbn={978-989-758-681-1},
issn={2184-4372},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Operations Research and Enterprise Systems - ICORES
TI - Finite Interval Processes: Simulating Military Operations
SN - 978-989-758-681-1
IS - 2184-4372
AU - Bryce, R.
PY - 2024
SP - 356
EP - 363
DO - 10.5220/0012424700003639
PB - SciTePress