Improving Navy recruiting with data farming

Proceedings of the 2016 Winter Simulation Conference T. M. K. Roeder, P. I. Frazier, R. Szechtman, E. Zhou, T. Huschka, and S. E. Chick, eds.Secretary of the Navy Ray Mabus states that people provide “the Navy and Marine Corps’ greatest edge” (Mabus, 2015). To help recruit and manage this dynamic workforce of more than 300,000 active duty Sailors, the Navy uses mathematical models and simulation to assess the potential impacts and risks of changes to force structure, budgets, policies, and the economy. One important model is the Planned Re-source Optimization (PRO) model. PRO is currently being used to inform recruiting resourcing decisions. The decisions may involve, for example, advertising, enlistment bonuses, number of production recruiters, etc. A limitation of PRO is the lack of an interface to facilitate extensive experimentation. This paper summarizes an effort underway to enhance the analytic utility of the PRO model by embedding it in a data farming environment. This enhanced tool is called the “Planned Resource Optimization Model with Ex-perimental Design” (PROM-WED)

Strike package-target pairing real-time optimization for Airborne Battlespace Command and Control

When an air strike is requested against a target, the desired result is rapid arrival of a strike package of appropriately armed aircraft to destroy the target. However, the current manual system used by airborne battle managers is outdated, resulting in a slower strike package delivery time. This primitive system requires the operator to pair strike packages to targets manually in real time. A system that improves the efficiency of the airborne battle managers in a highworkload environment would result in faster strike package-target pairing and tasking, and might result in better parings. We develop a model, RASP, that creates strike package-target pairings that best satisfy operational requirements as outlined in various joint publications and clarified by Naval Strike and Air Warfare Center subject matter experts. RASP minimizes data entry while replicating the decision processes that military operators use to decide strike package-target pairings. The starting point for this thesis is the RAPT-OR model, developed by Zacherl in 2006, a weapon-target pairing tool we adapt for use in a real-time tactical decision aid for airborne battle managers.http://archive.org/details/strikepackagetar109455184Outstanding ThesisUS Navy (USN) authorApproved for public release; distribution is unlimited