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http://dx.doi.org/10.5762/KAIS.2016.17.3.231

Verification Method to Detect the Fake Test Data in Military Supplies  

Chung, Ilhan (Department of Industrial Management, Ulsan College)
Joo, Jinchun (Daejeon center, Defense Agency for Technology and Quality)
Kim, Sunggon (Daejeon center, Defense Agency for Technology and Quality)
Cho, Hyeonghwan (Department of Industrial Management, Ulsan College)
Ahn, Namsu (Department of Industrial Management, Ulsan College)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.17, no.3, 2016 , pp. 231-240 More about this Journal
Abstract
Recently, fake test data of power cables in nuclear power plants was a terrible shock to the citizens. Some cable companies manipulated the test data to make unfair profits. In addition, fake test data cases were found in military supplies. The fake test data cases focused on parts of army's tank, armored car. This paper propose a new method that can detect fake test data using known statistical methods. In addition, the method was implemented in Microsoft Excel to allow easy use. Lastly, a check sheet was proposed to check the validity of the test system of military suppliers. By detecting and checking the fake test data, it is expected that our new method will play an important role in quality assurance of military supplies.
Keywords
Normality Test; Control Chart; Benford's Law; Dixon's Q-test; Test Data;
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