• Journal of Korean Society of Industrial and Systems Engineering
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• v.35 no.3
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• pp.217-224
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• 2012

This study is to review strategic priority for Defense Quality Management Factors of the Defense Agency for Technology and Quality. It is necessary to decide which quality factors are more important and which quality factors are relatively less important. In this study, Analytic Hierarchy Process (AHP) method was used in assigning the factors' weights. The survey of fifty one members participated in Defense R&D Programs showed that the Consistency Ratio was under 0.1 in evaluation items and factors.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.2
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• pp.76-84
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• 2021

The quality assurance activities can detect the factors that affect the quality based on risk identification in the course of mass production. Risk identification is conducted with risk analysis, and the risk analysis method for the rotorcraft landing system is selected by failure mode effects analysis (FMEA). FMEA is a method that detects the factors that can affect the product quality by combining severity, occurrence, and detectability. The results of FMEA were prioritized using the risk priority number. On the other hand, these methods have certain shortcomings because the severity, occurrence, detectability are weighted equally. Dempster-Shafer evidence theory can conduct uncertainty analysis for the opinions with personal reflections and subjectivity. Based on the theory, the belief function and the plausibility function can be formed. Moreover, the functions can be utilized to evaluate the belief rate and credibility. The system is exposed to impact during take-off and landing. Therefore, experts should manage failure modes in the course of mass production. In this paper, FMEA based on the Dempster-Shafer evidence theory is discussed to perform risk analysis regarding the failure mode of the rotorcraft landing system. The failure priority was evaluated depending on the factor values. The results were derived using belief and plausibility function graphs.