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http://dx.doi.org/10.9708/jksci.2020.25.11.201

A SNA Based Loads Analysis of Naval Submarine Maintenance  

Song, Ji-Seok (Dept. of Computer Science, Korea National Defense University)
Kang, Dongsu (Dept. of Computer Science, Korea National Defense University)
Lee, Sang-Hoon (Dept. of Computer Science, Korea National Defense University)
Publication Information
Journal of the Korea Society of Computer and Information / v.25, no.11, 2020 , pp. 201-210 More about this Journal
Abstract
Navy submarines are developed into complex weapons systems with various equipment, which directly leads to difficulties in submarine maintenance. In addition, the method of establishing a maintenance plan for submarines is limited in efficient maintenance because it relies on statistical access to the number of people, number of target ships, and consumption time. For efficient maintenance, it is necessary to derive and maintain major maintenance factors based on an understanding of the target. In this paper, the maintenance loads rate is defined as a key maintenance factor. the submarine maintenance data is analyzed using the SNA scheme to identify phenomena by focusing on the relationship between the analysis targets. Through this, maintenance loads characteristics that have not been previously revealed in quantitative analysis are derived to identify areas that the maintenance manager should focus on.
Keywords
Loads Analysis; SNA; Cosine Similarity; Centrality; K-Means Clustering;
Citations & Related Records
Times Cited By KSCI : 7  (Citation Analysis)
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