Fiscal Year	2023
Division	Research & Sponsored Programs
Department	Naval Research Program
Investigator(s)	Zhao, Ying
Sponsor	NPS Naval Research Program (Navy)
Summary	US Navy disperses forces including ships, aircraft and staffs to homeports, in a deliberate manner to support DoD guidance, policy, and budget, using the annual Strategic Laydown and Dispersal (SLD) process. This process, however, is a manual, labor intensive, time consuming, and not conducive to alternate - and consistent - scenario comparison and could benefit from presently available machine learning (ML) and artificial intelligence (AI) methods. We seek to consider how ML/AI methodologies might improve the SLD process to optimize force laydown to maximize force development and force generation efficiency. Having shown our mathematical ability to solve a smaller problem using artificial data, we seek to continue our research to develop an electronic model of the Strategic Laydown and Dispersal (SLD) into a minimum variable product (MVP) that can assist future SLD development and justify SLD potential movement scenarios and their decisions consistently.
Keywords	Strategic Lay Down, SLD, Artificial Intelligence, AI, Lexical Link Analysis, LLA
Publications	Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal
Data	Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal