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http://dx.doi.org/10.5762/KAIS.2016.17.6.315

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

Jeon, Sooyune (Defense Agency for Technology and Quality)
Lee, Donghun (Defense Agency for Technology and Quality)
Bae, Manjae (Defense Agency for Technology and Quality)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.17, no.6, 2016 , pp. 315-325 More about this Journal
Abstract
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.
Keywords
Forgery Prevention; Munition; Quality Assurance; Reliability; Test Report;
Citations & Related Records
Times Cited By KSCI : 11  (Citation Analysis)
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