Improving Navy MPTE Studies with Model-Driven Big Data
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he Navy uses complex models to help manage its human capital. These models assist Navy leadership in understanding the potential impacts and risks of changes to force structure, policies, and the economy on its future personnel. Many of these models contain a large number of input variables, some of which are uncertain. They also generate an enormous amount of output data. This project is assessing the feasibility and benefits of data farming with these models—that is, embedding a chosen N1 manpower, personnel, training, and education (MPTE) tool in an environment that enables efficiently running and analyzing designed experiments over a breadth of input variables, thereby creating model-driven big data. This will enable N1 to better understand and utilize its complex models to support resource and policy decisions that create and shape the future Navy. For 2015 research, the chosen model is the Officer Strategic Analysis Model (OSAM). We are investigating the possible use of the Navy Total Force Strength Model (NTFSM) for 2016 research.
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