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Authors: Cheryl Eisler and Dave Allen

Affiliation: Defence R&D Canada, Canada

Keyword(s): Discrete Event Simulation, Monte Carlo, Force Structure Analysis, Fleet Mix, Capability-Based Planning.

Abstract: This paper describes a stochastic discrete event simulation model for scheduling of joint military force structures. The model employs capability-based methods to link scenario requirements to force structure assets. Assignment of assets to scenarios is designed to attempt to mimic the decisions of a military scheduler. Force structure performance is evaluated based on how well and how often scenario capability requirements are met. The model output permits options analysis, capability gap analysis, determination of optimal force structure composition, and evaluation of force structure performance in the face of changing requirements and policies (such as readiness and sustainment, operations tempo, and personnel tempo constraints).

CC BY-NC-ND 4.0

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Paper citation in several formats:
Eisler, C. and Allen, D. (2012). A STRATEGIC SIMULATION TOOL FOR CAPABILITY-BASED JOINT FORCE STRUCTURE ANALYSIS. In Proceedings of the 1st International Conference on Operations Research and Enterprise Systems - ICORES; ISBN 978-989-8425-97-3; ISSN 2184-4372, SciTePress, pages 21-30. DOI: 10.5220/0003727800210030

@conference{icores12,
author={Cheryl Eisler. and Dave Allen.},
title={A STRATEGIC SIMULATION TOOL FOR CAPABILITY-BASED JOINT FORCE STRUCTURE ANALYSIS},
booktitle={Proceedings of the 1st International Conference on Operations Research and Enterprise Systems - ICORES},
year={2012},
pages={21-30},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003727800210030},
isbn={978-989-8425-97-3},
issn={2184-4372},
}

TY - CONF

JO - Proceedings of the 1st International Conference on Operations Research and Enterprise Systems - ICORES
TI - A STRATEGIC SIMULATION TOOL FOR CAPABILITY-BASED JOINT FORCE STRUCTURE ANALYSIS
SN - 978-989-8425-97-3
IS - 2184-4372
AU - Eisler, C.
AU - Allen, D.
PY - 2012
SP - 21
EP - 30
DO - 10.5220/0003727800210030
PB - SciTePress