• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.4
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• pp.625-636
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• 2020

The purpose of this study is to establish a quality assurance method and managerial standard through management practices and identification method of counterfeit items as measure to eradicate counterfeit items of weapon system. We have performed a study in three significant terms. First, a general study on counterfeit items. In this part, we have described the definition, cause and control need of counterfeit item. Second, management practice of foreign-purchased counterfeit items. Finally, quality assurance methods of counterfeit items. We have proposed the counterfeit items management method, building managerial standard and network, improvement of a system and strengthening quality assurance method.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.4
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• pp.617-624
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• 2020

Due to the rapid development of science technology and the main characteristics of the defense industry, such as long development period, design complexity, high possibility of discontinuing parts due to long life cycle, and small quantity production, it can cause increasing of the inflow possibility of counterfeit electronic parts and deteriorating the reliability of weapons systems. This paper presents the specific criteria for the identification of electronic parts to be verified for mass produced weapons systems after the development is completed, and the identification and verification methods for the inflow of counterfeit electronic components.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.3
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• pp.231-240
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• 2016

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.