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Digital Library

of the European Council for Modelling and Simulation

 

Title:

The Tyche And Safe Models: Comparing Two Military Force Structure Analysis Simulations

Authors:

Cheryl Eisler, Slawomir Wesolkowski, Daniel T. Wojtaszek

Published in:

 

(2014).ECMS 2014 Proceedings edited by: Flaminio Squazzoni, Fabio Baronio, Claudia Archetti, Marco Castellani  European Council for Modeling and Simulation. doi:10.7148/2014

 

ISBN: 978-0-9564944-8-1

 

28th European Conference on Modelling and Simulation,

Brescia, Italy, May 27th – 30th, 2014

Citation format:

Cheryl Eisler, Slawomir Wesolkowski, Daniel T. Wojtaszek (2014). The Tyche And Safe Models: Comparing Two Military Force Structure Analysis Simulations, ECMS 2014 Proceedings edited by: Flaminio Squazzoni, Fabio Baronio, Claudia Archetti, Marco Castellani  European Council for Modeling and Simulation. doi:10.7148/2014-0625

DOI:

http://dx.doi.org/10.7148/2014-0625

Abstract:

In the past, several force structure analyses have been conducted for the Canadian Armed Forces using moderate fidelity (e.g., Tyche) and low-fidelity (e.g. Stochastic Fleet Estimation or SaFE) simulation models within optimization frameworks. Monte Carlo discrete event simulations like Tyche are computationally expensive and can only be used in optimizations that require few force structure evaluations. The SaFE model acts as a simple surrogate model that can be utilized by more global optimization techniques. SaFE, originally developed to study air mobility fleets, was adapted to accommodate a larger set of capabilities and more scheduling heuristics so that the performance of many force structures can be quickly assessed while minimizing a set of objectives. The amount of time required to find the SaFE optimal force structures is significantly less than using Tyche. This indicates that SaFE could be an important tool for discovering paretooptimal force structures (within the space of all possible mixes) that would represent practical lower bounds on the force structure requirements for accomplishing expected future scenarios. The purpose of this paper is to compare and contrast the use of Tyche and SaFE through simulation optimizations on a given dataset.

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