Operations Research
Monte Carlo Statistical Methods (Springer Texts in Statistics)
Monte Carlo Statistical Methods (Springer Texts in Statistics)
Minimizing risk on a fleet mix problem with a multiobjective evolutionary algorithm
CISDA'09 Proceedings of the Second IEEE international conference on Computational intelligence for security and defense applications
Proceedings of the 2010 Summer Computer Simulation Conference
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Any organization that moves cargo and people needs to decide how many platforms it needs to accomplish its varied tasks. In this paper, we develop the Stochastic Fleet Estimation or SaFE Model which estimates the size and composition of the average required fleet of vehicles or platforms. The SaFE model is a Monte Carlo-based simulation that uses task frequency, duration and task-assigned platform information to determine what fleet can accomplish these tasks over the given time period. Results based on a simulated data set are presented and analysed.