한국산학기술학회논문지 (Journal of the Korea Academia-Industrial cooperation Society)

  • 제17권6호
  • /
  • Pages.315-325
  • /
  • 2016
  • /
  • 1975-4701(pISSN)
  • /
  • 2288-4688(eISSN)
한국산학기술학회 (The Korea Academia-Industrial cooperation Society)
권호 표지
DOI QR코드

DOI QR Code

빅데이터 기반 군수품 품질정보 활용방안에 대한 연구

A Study on the Application Method of Munition's Quality Information based on Big Data

  • 투고 : 2016.03.21
  • 심사 : 2016.06.02
  • 발행 : 2016.06.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

국방산업에 관련된 데이터의 양적팽창과 기술성장에 따라, 유의미한 품질정보를 추출하고 이를 통해 정책 제정 및 품질보증 업무에 활용하는 것이 요구되고 있다. 데이터에 기반한 경향 파악 및 의사결정 도출은 다수의 상황에 유연하게 대처할 수 있도록 하여 업무의 생산성을 높이고 새로운 기회를 발견하는 핵심 수단으로 활용될 수 있다. 따라서 국방산업에서는 개발단계부터 양산단계까지 다양한 품질정보들을 수집하고 이를 활용할 수 있도록 빅데이터 기반의 업무체계 구축이 필요하며, 축적된 정보를 활용하기 위한 방안이 필요하다. 본 연구는 정보체계 운용을 통해 신뢰성이 확보된 군수품의 품질정보를 수집하여 정형화된 빅데이터를 구축하는 방안을 제시하였으며, 사용자가 이를 활용할 수 있는 종합표준플랫폼을 제시하였다. 제안된 종합표준플랫폼은 군수품시험성적서 정보시스템(Test Report Information Service for Military Supplies, TRIS 시스템) 구축을 통하여 수행하였으며, TRIS 시스템을 통해 축적되는 정형 데이터의 활용방안을 제안하였다. 더불어 국방산업 비정형 데이터 활용방안에 대해 연구하였다. 본 연구의 결과는 향후 국방산업의 데이터 인프라 형성에 기여할 것으로 기대되며, 종합표준플랫폼을 통해 수집된 정보들은 군수품 품질보증에 관한 무기체계 별 전략 수립 및 동향 파악에 유용하게 활용될 것이다.

Due to the expansion of data and technical progress in the military industry, it is important to extract meaningful information for assuring quality and making policies. The analysis of trends and decision making based on big data is helpful for increasing productivity in business and finding new business opportunities. We propose an application to collect reliable quality information for munitions and build a big data platform for using the accumulated information and numerical data. We verified the proposed platform using the Test Report Information Service (TRIS) system and suggest a method that utilizes unstructured and semi-structured data accumulated by TRIS. Thus, we expect that the proposed platform will help in building infrastructure for military data, making efficient strategies, and analyzing trends for assuring munitions quality.

키워드

참고문헌

  1. J. Park, "New Possibilities and Strategies of Big Data Era", Korean Society of Hazzard Mitigation Congress, pp.179, 2013.
  2. M. Gang, S. Kim, S. Park, "Analysis and Utilization of Big data", Journal of Computing Science and Engineering, Vol.30, No.6, pp.25-32, 2012.
  3. McKinsey Global Institute, "Big data: The next frontier for innovation, competition, and productivity", 2011
  4. S. Lee, D. Lee, "Current Status of Big Data Utilization", Journal of Digital Convergence, Vol.11, No.2, pp.229-233, 2013. https://doi.org/10.14400/JDPM.2013.11.12.229
  5. G. No, "A Study on Utilization Strategy of Big Data for Local Administration by Analyzing Cases", Journal of Digital Convergence, Vol.12, No.1, pp.89-97, 2014. DOI: http://dx.doi.org/10.14400/JDPM.2014.12.1.89
  6. B. Lee, Y. Seo, "A Design of Operational Test & Evaluation System for Weapon Systems thru Process Based Modeling", The Korea Society for Simulation, Vol.23, No.4, pp.211-218, 2014. https://doi.org/10.9709/JKSS.2014.23.4.211
  7. D. Lee, J. Seo, G. Nah, S. Hong, "Quantitative Analysis of Fat, Protein, Moisture, and Salt in Meat Products by Near Infra-Red", Korean Journal of Food Science and Technology, Vol. 19, pp.154-160, 2015.
  8. D. Lee, S. Jeon, M. Bae, "A Study on Test Report Information Service Architecture for Preventing Forgery and Alteration in Defense Industry", The Korea Academia-Industrial Cooperation Society, April, 2016. (To be published)
  9. G. Min, D. Jeong, "Research on Assessment of Impact of Big Data Attributes to Disaster Response Decision-Making Process", Journal of Society for e-Business Studies, Vol.18, No.3, pp.17-43, 2013. https://doi.org/10.7838/jsebs.2013.18.3.017
  10. J. Lee, C. Hong "A Study on the Application Methods for Big Data at a Corporation - Cases of A and Y Corporation Big Data System Projects", Journal of Korean Society for Internet Information, Vol.15, No.1, pp.103-112, 2014. DOI: http://dx.doi.org/10.9708/jksci.2014.19.7.103
  11. IDC, "Extraction Value from Chaos", 2011.
  12. H. Kim, "The Utilization Method of Public Information and Change of IT Paradigm in Big Data", Journal of Korean Association for Government Studies. Vol.22, No.3, pp.277-302, 2012.
  13. Defense Agency for Technology and Quality, "A Conceptual Study for Establishing System for Defense Quality", 2015.
  14. K. Yoon, S. Park, "A Study on the Estimation of Shelf-life for 155mm propelling charge KM4A2 using ASRP's data.", Journal of the Korean Society Quality Management, Vol.42. pp. 291-300, 2014. DOI: http://dx.doi.org/10.7469/JKSQM.2014.42.3.291
  15. J. Kang, D. Shin, S. Hong, "A Study on Analysis of Digital Textile's Physical Characteristics by Data Mining", Journal of the Korean Society for Quality Management, 2014.
  16. D. Lee, T. Kim, "Quality Management System for Small and Medium Sized Company using multi media technology.", Journal of Korea Multimedia Society, Vol.4, No.4, pp.78-88, 2000.
  17. H. Jung, "Developing the Design Quality Information System in Industry of Automobile Parts", Society of CAD/CAM Engineers Congress.
  18. Y. Kim, "A study on Computerization Method for the Quality Test Management System in Construction materials" Korea Computer Congress, Vol.39, pp.37-39, 2012.
  19. J, Yoon, B. Ryue, S. Lee, "Development of Quality-Based Project Management System.", Journal of the Korean Society for Precision Engineering, pp. 479-480, 2013.
  20. Y. Kim, W. Jung, J. Choi, W. Kim, D. Kim, W. Gu, J. Noh, S. Kim, K. Kim, D. Lee, I. Lee, G. Youn, J. Yu, J. Kim, Y. Kim, "Introduction to Defense quality management", Hyungsul, 2010.
  21. B. Kim, M. Jung, S. Jeon, D. Shin, "Global Research Trends on Geospatial Information by Keyword Network Analysis", Journal of Korea Spatial Information Society, Vol.23, No.1, pp.69-77, 2015. DOI: http://dx.doi.org/10.9708/jksci.2015.20.10.069
  22. J. Kho, K. Cho, Y. Cho, "A Study on Recent Research Trend in Management of Technology Using Keywords Network Analysis", Journal of Intelligent Information System, Vol.19, No.2, pp.101-123, 2013. DOI: http://dx.doi.org/10.13088/jiis.2013.19.2.101
  23. H. W. Park, Loet Leydesdorff, "Understanding the KrKwic: A computer program for the analysis of Korean text", Journal of the Korean Data Analysis Society, Vol.6, No.5, pp.377-387, 2004.
  24. S. Jeon, "The Expectation and Reality of Big Data", LG Business Insight, 2012.
  25. J. Park, G. Park, Y. Lee, "Big data as new technology paradigm", Science and Technology Policy Institute, Vol.23, No.3, pp. 17-30, 2013.

피인용 문헌

  1. The Effect of QM Activities on the Management Results of Small and Medium sized Enterprises in South Korea vol.41, pp.2, 2018, https://doi.org/10.11627/jkise.2018.41.2.133
  2. An Estimation of ASL in Appraisal : Using Korea National Wealth Survey Data vol.41, pp.2, 2018, https://doi.org/10.11627/jkise.2018.41.2.141
  3. An Appropriated Share between Revenue Expenditure and Capital Expenditure in Capital Stock Estimation for Infrastructure vol.41, pp.2, 2018, https://doi.org/10.11627/jkise.2018.41.2.153
  4. An Analysis of IT Proposal Evaluation Results using Big Data-based Opinion Mining vol.41, pp.1, 2018, https://doi.org/10.11627/jkise.2018.41.1.001