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

Korean Society of Computer Information (한국컴퓨터정보학회)
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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)
  • Received : 2019.04.30
  • Accepted : 2019.06.05
  • Published : 2019.06.28
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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

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Fig. 1. Representation of socio-matrix and sociogram

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Fig. 2. Structuring the hierarchy

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Fig. 3. Pair comparison matrix

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Fig. 4. Eigenvalue and eigenvector calculation results

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Fig. 5. Final importance of comparative elements

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Fig. 6. Cosine similarity socio-Matrix

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Fig. 9. Percentage of systems

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Fig. 10. System ratio of engines

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Fig. 11. K-Means clustering result

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Fig. 7. Similarity network

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Fig. 8. Cohesion analysis

Table 1. Types of maintenance

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Table 2. Comparison element

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Table 3. Core components

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Table 4. Maintenance ranking of engines

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Table 5. Ego-network of engine node

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Table 6. Component system

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Table 7. Clustering result

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Table 8. Details of clusters

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