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http://dx.doi.org/10.9708/jksci.2019.24.06.165

SNA-based Trend Analysis of Naval Ship Maintenance  

Yoo, Jung-Min (Dept. of Computer Science, Korea National Defense University)
Yoon, Soung-woong (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.24, no.6, 2019 , pp. 165-174 More about this Journal
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;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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