Research Summaries

Back Incorporation of Predictive Analytics Learning into Replenishment At Sea Planner (RASP)

Fiscal Year 2021
Division Graduate School of Operational & Information Sciences
Department Operations Research
Investigator(s) Kline, Jeffery E.
Carlyle, William M.
Sponsor Office of Naval Research (Navy)
Summary The FY21 NPS effort will be to modify RASP software to enable data receipt from current ship fuel levels and projections based on past data usage for mission, location, and time of year (climatology effects). Additionally, exploration will be made to understand data availability to support traditional predictive analytics and machine learning techniques in supplying RASP good fuel predictions for its solver.
Keywords
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