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Abstract Currently, the military is planning to reduce the number of troops for reasons such as a decrease in the youth population and a shortened service period. However, battleships require more crew than before due to increased size, mounted weapons, and equipment. Therefore, deploying the appropriate number of crew members on the battleships is important. In addition, since battleships must consider various operating situations (combat, maintenance, etc.) and crew members have various specialties, it is essential to optimize the crew's composition to suit the battleships' characteristics. To this end, the Navy relies on experts with relevant know-how and data based on legacy ships. Still, additional optimization is required for reasons such as changes in military policy, enlargement of new battleships, and diversification of weapons.
In this paper, given the specifications of the design ship and major mounted equipment, the crew composition is primarily calculated using the data of the military’s legacy ship currently in operation. Since the result was calculated based on the past, the expert system was additionally used to calculate the result reflecting the characteristics of the ship I designed and the current operation of the ship. Afterward, a method of optimizing the composition of the crew was studied using the simulation method.
The estimation method based on legacy ship data estimates crew members with various specialties in consideration of ship specifications and loaded weapons and estimates the crew composition suitable for the design ship using regression analysis. The estimation method of an expert system uses rule-based expert systems to re-estimate the crew member composition.
The estimation method based on simulation optimizes the composition of the crew by comparing and analyzing mission execution time and efficiency using Discrete Event System specification (DEVS) simulation in consideration of scenarios that mimic the actual operating situation of the ship.
Finally, a self-developed program was implemented for verification, and the performance was verified by inputting the specifications of the US Navy ship and the number of crew members into the program.
Publication Date 2023-02-24

Hamin Song, "Optimization of Crew Manning Considering Operation Scenarios of a Naval Ship", M.Sc. Thesis, Seoul National University, 2023.02.24

송하민, "전투함의 운영 시나리오를 고려한 승조원 구성 최적화", 석사학위논문, 서울대학교, 2023.02.24


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