Title
A multi-objective optimization approach to selecting sets of training devices
Abstract
A variety of training devices are available for preparing soldiers to employ small arms in combat. This variety exists because each type of device is better suited to some training tasks than others. All have their particular strengths and weaknesses that must be managed to deliver a comprehensive training system (Frank et al., 2000). Fielding an efficient set of training devices requires selection of the right types and quantities of training devices. In this paper, a methodology for identifying an efficient set of devices for infantry small arms training is developed. A template for describing the training requirements is created that identifies the tasks to be trained, numbers of trained personnel required, and when they are needed. The Stochastic Fleet Estimation (SaFE) model (Willick et al. 2010) is adapted to the small arms training problem and subsequently used within a multi-objective optimization risk assessment framework to select promising combinations and quantities of devices. This approach provides those acquiring and operating training devices with an analytic basis for selecting parsimonious sets of training devices while understanding the limitations of various training system options.
Year
Venue
Keywords
2013
SummerSim
parsimonious set,efficient set,comprehensive training system,training requirement,multi-objective optimization approach,small arm,various training system option,small arms training problem,training task,infantry small arms training,training device,optimization
Field
DocType
Citations 
Training system,Computer science,Simulation,Multi-objective optimization,Infantry,Strengths and weaknesses
Conference
1
PageRank 
References 
Authors
0.39
1
2
Name
Order
Citations
PageRank
Stuart C. Grant1273.71
Slawo Wesolkowski2365.55