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

텍스트마이닝을 활용한 항공무기체계의 사용자불만 분석

  • 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)
  • 황혜원 (경상국립대학교 기술경영학과) ;
  • 김영진 (국방과학연구소 부설 국방신속획득기술연구원) ;
  • 전정환 (경상국립대학교 산업시스템공학부)
  • Received : 2024.08.19
  • Accepted : 2024.10.08
  • Published : 2024.12.05

Abstract

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.

Keywords

Acknowledgement

이 연구는 2023년도 경상국립대학교 발전기금재단 재원으로 수행되었음.

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