Improving Navy Recruiting with the New Planned Resource Optimization Model With Experimental Design (PROM-WED)
Technical Report,01 Mar 2017,01 Mar 2017
Naval Postgraduate School Monterey United States
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The Navy spends over 300 million per year to recruit approximately 35,000 new active duty enlisted Sailors. The Navy has historically used a non-linear optimization model, the Planned Resource Optimization PRO model, to help inform decisions on the allocation of those recruiting resources. Input variables to the PRO model include economic influences and policy factors. The result is a recommended allocation of resources for advertisements, recruiters, enlistment bonuses, and education incentives. The PRO models primary limitations are 1potential deviations of input variables are not taken into consideration, and 2 extensive experimentation is not feasible. Realistically, input variables to the PRO model fluctuate, are unpredictable, and can interact with other variables to influence the recruiting environment and affect the optimal allocation of recruiting resources. This paper describes the Planned Resource Optimization Model with Experimental Design PROM-WED, a tool that alleviates the limitations and enhances the analytic utility of the legacy PRO model. PROM-WED embeds the legacy PRO model within a data farming environment. PROM-WEDs graphical user interface and decision support capability provide decision makers with robust insights into variable interactions and uncertainties to better inform their recruiting resourcing decisions.
- Personnel Management and Labor Relations
- Military Forces and Organizations