한국군사과학기술학회지 (Journal of the Korea Institute of Military Science and Technology)

  • 제27권6호
  • /
  • Pages.784-796
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  • 2024
  • /
  • 1598-9127(pISSN)
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  • 2636-0640(eISSN)
한국군사과학기술학회 (The Korea Institute of Military Science and Technology)
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텍스트마이닝을 활용한 항공무기체계의 사용자불만 분석

Analysis of User Complaints of the Air Force Weapon System Using Text Mining

  • 황혜원 (경상국립대학교 기술경영학과) ;
  • 김영진 (국방과학연구소 부설 국방신속획득기술연구원) ;
  • 전정환 (경상국립대학교 산업시스템공학부)
  • Hyewon Hwang (Department of Management of Technology, Gyeongsang National University) ;
  • Youngjin Kim (Defense Rapid Acquisition Technology Research Institute, Agency for Defense Development) ;
  • Jeonghwan Jeon (Department of Industrial and Systems Engineering, Gyeongsang National University)
  • 투고 : 2024.08.19
  • 심사 : 2024.10.08
  • 발행 : 2024.12.05
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초록

User complaints are occurring due to the inability to meet user needs, such as the performance and ease of use of military supplies. Over the past five years, an average of 1,115 user complaints have occurred, and the Defense Agency for Technology and Quality(DTaQ) is handling the complaints collected from the requesting military. This user complaint information is accumulated as unstructured data in the Quality Information Service(IQIS) and Excel, making systematic analysis difficult. Therefore, this study aims to identify the status of user complaints related to air weapon systems using network analysis. This research is significant as it quantitatively analyzes user complaint data through the analysis of unstructured data, and the results are expected to serve as reference material for future quality assurance activities and user complaint handling.

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과제정보

이 연구는 2023년도 경상국립대학교 발전기금재단 재원으로 수행되었음.

참고문헌

  1. C. Choi, "Application Case Study of R&D Quality Assurance for Defence Products," The Korean Society for Quality Management Fall Conference, pp. 164-173, September, 2018. 
  2. Defense Agency for Technology and Quality(DTaQ), Military Supplies Quality Management Basic Regulation, Revised on October 16, 2015. 
  3. B. Shin, W. Hwang, N. Ahn, D. Kim, G. Lee, B. Jang, J. Byun, "Suggestions on Enhancing the Effectiveness of Government Quality Assurance Activities for Military Supplies in Production Stage," Journal of Korean Society for Quality Management, Vol. 44, No. 1, pp. 153-166, 2016. 
  4. J. Choi, S. Wu, G. Choi, J. Lee, "The Strength and Weakness in Korea Defense Supplies," Defense Agency for Technology and Quality, 2012. 
  5. N. Ahn, S. Park, J. Chae, Y. Lee, B. Oh, "Suggestion of Using Defense Quality Score based on Taguchi Loss Function in Korea Defense Area," Journal of Korean Society for Quality Management, Vol. 41, No. 3, pp. 443-456, 2013. 
  6. S. Jeon, D. Lee, M. Bae, "A Study on the Application Method of Munition's Quality Information based on Big Data," Journal of the Korea Academia-Industrial cooperation Society, Vol. 17, No. 3, pp. 315-325, 2016. 
  7. Defense Acquisition Program Administration(DAPA), Defense Acquisition Quality Management Regulation. Revised on December 28, 2023. 
  8. Defense Agency for Technology and Quality(DTaQ), Military Supplies Quality Management Basic Regulation, Revised on May 13, 2024. 
  9. Defense Agency for Technology and Quality(DTaQ), Defense Quality Management Work Regulations, 2012. 
  10. J. Kim, C. Lee, "Application of Zero-Inflated Poisson Distribution to Utilize Government Quality Assurance Activity Data," Journal of Korean Society for Quality Management, Vol. 46, No. 3, pp. 509-522, 2018. 
  11. D. Lee, K. Yoon, "A Study on the Estimation of Shelf Life for Fuze MTSQ KM577A1 from ASRP Data," Journal of Applied Reliability, Vol. 18, No. 1, pp. 56-65, 2018. 
  12. W. Eom, J. Oh, J. Yun, J. Kim, "A Study of Efficient Feedback Method for Weapon Systems Software Defection," Journal of the Korea Academia-Industrial cooperation Society, Vol. 24, No. 3, pp. 159-165, 2023. 
  13. H. Huh, S. Ko, S. Baek, "A Study on the Big Data Analysis and Predictive Models for Quality Issues in Defense C5ISR," Journal of Korean Society for Quality Management, Vol. 51, No. 4, pp. 551-571, 2023. 
  14. W. Eom, J. Kim, H. Cho, S. Chae, J. Chang, "The Analysis of Operating Weapon Systems Software Defections," Journal of the Korea Academia-Industrial cooperation Society, Vol. 25, No. 4, pp. 318-323, 2024. 
  15. H. Oh, S. Gwak, "Suggestion for Enhancing Risk Assessment of Payload Equipment for the Quality Management Efficiency of Naval Weapon Systems," Journal of the Korea Academia-Industrial cooperation Society, Vol. 25, No. 2, pp. 148-153, 2024. 
  16. H. Kang, J. Yang, "Study on the Methods of Keywords that Represent Political Bias in Ordinary Korean Sentences," Journal of Digital Contents Society, Vol. 22, No. 12, pp. 2077-2087, 2021. 
  17. G. R. Gunnam, D. Inupakutika, R. Mundlamuri, S. Kaghyan, and D. Akopian, "Hybrid Machine Learning Approach for Task-Oriented Dialog Systems," International Journal of Computer Applications, Vol. 186, No. 23, pp. 35-42, 2024. 
  18. S. Lee, "A Content Analysis of Journal Articles Using the Language Network Analysis Methods," Journal of the Korean society for information management, Vol. 31, No. 4, pp. 49-68, 2014. 
  19. S. Hwang, M. Kim, "An Analysis of Artificial Intelligence(A.I.)_related Studies' Trends in Korea Focused on Topic Modeling and Semantic Network Analysis," Journal of Digital Contents Society, Vol. 20, No. 9, pp. 1847-1855, 2019. 
  20. L. C. Freeman, "Centrality in Social Networks Conceptual Clarification," Social Networks, Vol. 1, No. 3, pp. 215-239, 1978. 
  21. S. Jang, D. Yeum, "Knowledge structure and research trend by period of hospice and palliative care research using text network analysis," Journal of the Korea Academia-Industrial cooperation Society, Vol. 22, No. 10, pp. 702-710, 2021. 
  22. I. Choi, Y. Lee, J. Kim, "A Usage Pattern Analysis of the Academic Database Using Social Network Analysis in K University Library," Journal of the Korean society for information management, Vol. 27, No. 1, pp. 25-40, 2010. 
  23. J. Joo, J. Song, "Exploration of Knowledge Hiding Research Trends Using Keyword Network Analysis," Knowledge Management Research, Vol. 22, No. 1, pp. 217-242, 2021.