Journal of the Korea Society of Computer and Information (한국컴퓨터정보학회논문지)

Korean Society of Computer Information (한국컴퓨터정보학회)
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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)
  • Received : 2020.09.15
  • Accepted : 2020.10.27
  • Published : 2020.11.30
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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.

해군 잠수함은 여러 구성장비가 탑재된 복합 무기체계로 개발되기 때문에 이는 잠수함 정비의 어려움으로 직결된다. 또한, 잠수함 정비계획을 수립하는 방법은 인원수, 대상 함정의 수, 소비시간 등 통계적 접근에 의존하기 때문에 효율적인 정비에 제한적이다. 효율적인 정비를 위해서는 정비대상에 대한 이해를 바탕으로 주요 정비요소를 도출하여 정비하는 것이 필요하다. 따라서 본 논문에서는 핵심 정비요소로 정비부하율을 정의하고, 분석 대상의 관계에 중점을 두어 현상을 식별하는 SNA 기법을 사용하여 잠수함 정비데이터를 분석한다. 이를 통해 기존에 정량적 분석에서 드러나지 않은 정비부하 특성을 도출하여 정비자 또는 정비계획자가 집중해야 하는 분야를 식별한다.

Keywords

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