<div class="description">
<p>Modeling and simulation provides a cost effective means to gain insights into the potential benefits of  network-enabled capabilities in a variety of operational settings. This research outlines a methodology and provides a  use case for employing modeling and simulation in the identification of significant factors for network-enabled  capabilities. The effort explores the use of the U.S. Army Training and Doctrine Command (TRADOC) Analysis  Center's Logistics Battle Command (LBC) model to examine the distribution of capabilities across an organizational  structure. It leverages large, space-filling designs of experiments, in conjunction with high performance computing  clusters, to assess the impact of Soldier-level, network-enabled capabilities on transportation terminal node operations  within a sustainment base supporting a Joint Force.  Further, this research coalesces experimental design and exploratory data analysis to examine 771 variants of  the operational scenario. Three network structures are examined, namely, the Hierarchical, Star, and Hierarchical-Star topologies, to quantify the impacts of network-enabled capability on the velocity, reliability, and visibility  measures of effectiveness. The results suggest that increasing network-enabled capabilities yields a significant return  of investment over the current capabilities. The latter network topologies show that Soldiers performing terminal  node cargo operations are better connected, and this leads to more responsive distribution systems.
</p>
<br>Subjects: Computer simulation; Military aspects; High performance computing; Military art and science; Technological innovations; United States; Integrated logistic support</div>
<div class="fn value">
Baez, Francisco R.</div>
Internet Archive identifier