Next Generation Logistics Ship Automation and Uncrewed Underway Replenishment

Abstract

The objective of this research is to analyze and propose comprehensive, adaptive, reusable, and innovative modeling processes to assist the U.S. Navy (USN) and Department of Defense (DoD) with Next Generation Logistics Ship (NGLS) automation for estimating and modeling underway replenishment (UNREP). The processes aim to assist in calculating, modeling, valuing, and optimizing a framework for estimating and modeling the UNREP equipment and emergency breakaway investigations. With a heightened strategic focus on distributed maritime and expeditionary advanced operations, this research suggests advanced technological research and development of unmanned UNREP equipment and support systems focused on uncrewed or minimally crewed combat logistics support operations. The considerable rise in unmanned surface vessels, as well as automated and uncrewed UNREP research, demands the exploration of fueling and storage replenishment at sea, cargo stowage, and handling for unmanned or minimally staffed UNREP equipment operation. Technology development durations, investment costs, and benefits are calculated via this research, and ways to identify and execute emergency breakaway uncrewed or minimally crewed approaches are proposed. This research uses advanced analytical integrated risk management methodologies such as Monte Carlo simulation, stochastic forecasting for uncertainty modeling, knowledge value add analysis, portfolio optimization, prototype strategic flexibility alternatives, technology development durations, and investment options. Based on the results, the research anticipates substantial performance improvements alongside the UNREP processes category, aided by potential new automation. This research proposes possible paths for advanced technology research and development of unmanned UNREP equipment and support systems, using advanced analytical techniques for technology development timelines estimations, investment analysis, and portfolio optimization. By outlining various strategies and options for identifying situations that warrant standard or emergency procedures, this research informs decision-makers on optimal conditions for UNREP using appropriate technology options that would minimize cost and maximize the efficiency and effectiveness of uncrewed or minimally crewed operations.