SNA-based Trend Analysis of Naval Ship Maintenance (SNA 기반의 해군 함정 정비경향 분석)

Jung-Min Yoo (유정민); SoungWoong Yoon (윤성웅); Lee Sang Hoon (이상훈)

doi:10.9708/jksci.2019.24.06.165

SNA-based Trend Analysis of Naval Ship Maintenance

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2019, 24(6), pp.165-174
DOI : 10.9708/jksci.2019.24.06.165
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science
Received : April 30, 2019
Accepted : June 5, 2019
Published : June 28, 2019

Jung-Min Yoo ¹, SoungWoong Yoon ¹, Lee Sang Hoon ¹

¹국방대학교

Accredited

ABSTRACT

Naval ship maintenance generally produces various issues for effective maintenance methods and procedures, because they have been composed by numerous modules and systems, and manual-oriented maintenance needed well-trained technicians who always busy to do many other works. In this paper, we adapt SNA scheme to the service procedure and trends of ROK naval ships' equipments. Various SNA algorithms are deployed which show lots of operating options, and we show analysis results that have enough potential improvement points for the maintainers.

KEYWORDS

SNA, AHP, Centrality, Cohesion, Cosine Similarity, K-Means Clustering

Citation status

* References for papers published after 2023 are currently being built.

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Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

SNA-based Trend Analysis of Naval Ship Maintenance

ABSTRACT

KEYWORDS

Citation status

* References for papers published after 2023 are currently being built.

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

SNA-based Trend Analysis of Naval Ship Maintenance

ABSTRACT

KEYWORDS

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Citation status

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REFERENCES (25) * References for papers published after 2023 are currently being built.

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* References for papers published after 2023 are currently being built.